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FB15k-237_overall

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FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 8918, Aleksandr_Pushkin 5452, Anton_Chekhov 10710, Dmitri_Shostakovich 4495, Kingdom_of_Prussia 9625, Leo_Tolstoy 6738, Leonhard_Euler 4796, London_Business_School 3677, Lung_cancer 12406, Master_of_Philosophy 11807, Montgomery 1781, Nat_King_Cole 7593, Nicholas_II_of_Russia 13926, Professor-GB 6057, Russian_Empire 4522, Saint_Petersburg 588, Saint_Petersburg_State_University 12509, Trinity_College,_Cambridge 12678, University_of_Basel 13234, Vladimir_Vladimirovich_Nabokov src, edge_attr, dst 8918, nationality, 6057 8918, place_of_death, 4522 5452, influenced_by, 8918 5452, nationality, 6057 10710, location, 4522 10710, nationality, 6057 10710, place_of_birth, 4522 10710, profession, 13926 9625, influenced_by, 8918 6738, location, 4495 6738, nationality, 4495 6738, nationality, 6057 6738, place_of_death, 4522 4796, educational_institution, 4796 3677, people, 10710 3677, people, 1781 12406, institution, 4796 12406, institution, 12509 12406, institution, 12678 12406, student, 6738 11807, place, 11807 1781, place_of_birth, 11807 7593, jurisdiction_of_office, 6057 7593, location, 4522 7593, place_of_birth, 4522 6057, capital, 4522 6057, combatants, 4495 4522, contains, 588 588, campuses, 588 588, citytown, 4522 12509, student, 13234 12678, student, 6738 13234, influenced_by, 8918 13234, influenced_by, 5452 13234, influenced_by, 9625 13234, place_of_birth, 4522 13234, profession, 13926 Question: How are London_Business_School, Montgomery, and Saint_Petersburg related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "London_Business_School", "Montgomery", "Saint_Petersburg" ], "valid_edges": [ [ "Aleksandr_Pushkin", "nationality", "Russian_Empire" ], [ "Aleksandr_Pushkin", "place_of_death", "Saint_Petersburg" ], [ "Anton_Chekhov", "influenced_by", "Aleksandr_Pushkin" ], [ "Anton_Chekhov", "nationality", "Russian_Empire" ], [ "Dmitri_Shostakovich", "location", "Saint_Petersburg" ], [ "Dmitri_Shostakovich", "nationality", "Russian_Empire" ], [ "Dmitri_Shostakovich", "place_of_birth", "Saint_Petersburg" ], [ "Dmitri_Shostakovich", "profession", "Professor-GB" ], [ "Leo_Tolstoy", "influenced_by", "Aleksandr_Pushkin" ], [ "Leonhard_Euler", "location", "Kingdom_of_Prussia" ], [ "Leonhard_Euler", "nationality", "Kingdom_of_Prussia" ], [ "Leonhard_Euler", "nationality", "Russian_Empire" ], [ "Leonhard_Euler", "place_of_death", "Saint_Petersburg" ], [ "London_Business_School", "educational_institution", "London_Business_School" ], [ "Lung_cancer", "people", "Dmitri_Shostakovich" ], [ "Lung_cancer", "people", "Nat_King_Cole" ], [ "Master_of_Philosophy", "institution", "London_Business_School" ], [ "Master_of_Philosophy", "institution", "Trinity_College,_Cambridge" ], [ "Master_of_Philosophy", "institution", "University_of_Basel" ], [ "Master_of_Philosophy", "student", "Leonhard_Euler" ], [ "Montgomery", "place", "Montgomery" ], [ "Nat_King_Cole", "place_of_birth", "Montgomery" ], [ "Nicholas_II_of_Russia", "jurisdiction_of_office", "Russian_Empire" ], [ "Nicholas_II_of_Russia", "location", "Saint_Petersburg" ], [ "Nicholas_II_of_Russia", "place_of_birth", "Saint_Petersburg" ], [ "Russian_Empire", "capital", "Saint_Petersburg" ], [ "Russian_Empire", "combatants", "Kingdom_of_Prussia" ], [ "Saint_Petersburg", "contains", "Saint_Petersburg_State_University" ], [ "Saint_Petersburg_State_University", "campuses", "Saint_Petersburg_State_University" ], [ "Saint_Petersburg_State_University", "citytown", "Saint_Petersburg" ], [ "Trinity_College,_Cambridge", "student", "Vladimir_Vladimirovich_Nabokov" ], [ "University_of_Basel", "student", "Leonhard_Euler" ], [ "Vladimir_Vladimirovich_Nabokov", "influenced_by", "Aleksandr_Pushkin" ], [ "Vladimir_Vladimirovich_Nabokov", "influenced_by", "Anton_Chekhov" ], [ "Vladimir_Vladimirovich_Nabokov", "influenced_by", "Leo_Tolstoy" ], [ "Vladimir_Vladimirovich_Nabokov", "place_of_birth", "Saint_Petersburg" ], [ "Vladimir_Vladimirovich_Nabokov", "profession", "Professor-GB" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 4450, Adam_Horovitz 4929, Adam_Smith 7800, Agnosticism 2105, Alternative_hip_hop 7363, American_Book_Awards 6882, American_Philosophical_Society 14066, Anna_Deavere_Smith 8582, Arista_Records 11007, Aristotle 3253, Ashkenazi_Jews 6538, Astronomer-GB 12643, Ayn_Rand 5785, Balliol_College 11283, Bassist 11752, Beastie_Boys 1055, Ben_Stein 8361, Bernie_Mac 12178, Bertelsmann_Music_Group 9760, Calle_13 1529, Carl_Sagan 10359, Charles_Darwin 1038, Christopher_Hitchens 13241, Dancehall 4828, Danger_Mouse 9022, David_Foster_Wallace 2552, David_Hume 3846, Debbie_Harry 4708, Def_Jam_Recordings 2518, Disco 10710, Dmitri_Shostakovich 8637, Don_DeLillo 10701, East_Coast_hip_hop 13068, Economist 9479, Edgar_Allan_Poe 11222, Edward_Dmytryk 1487, Edward_Said 3792, Elliott_Gould 7907, Epistemology 3504, Ethics 7343, Friedrich_Hayek 731, Funk_rock 13060, G-funk 7884, Gangsta_rap 9285, Geology 294, Georg_Wilhelm_Friedrich_Hegel 4307, Gorillaz 10750, Grammy_Award_for_Best_Rap_Solo_Performance 9242, Grammy_Award_for_Best_Urban/Alternative_Performance 7407, Greg_Graffin 13074, H._G._Wells 9085, Hardcore_hip_hop 7818, Hardcore_punk 5048, Historian 3807, House_music 5391, Immanuel_Kant 10653, Isaac_Asimov 4877, Ithaca 10690, Jaco_Pastorius 12842, James_Baldwin 3555, Jamiroquai 8360, Jazz-funk 4180, Jazz_rap 3398, Jean-Jacques_Rousseau 1522, Jive_Records 13645, John_Dewey 5006, John_Locke 8595, John_Rawls 11849, John_Stuart_Mill 13821, John_Updike 6670, Joseph_Campbell 12209, KRS-One 10808, Karl_Marx 13780, Kelis 10333, Latin_hip_hop 8682, Lecturer-GB 2980, Leo_Strauss 3677, Lung_cancer 12113, M.I.A. 14173, MTV_Video_Music_Award_for_Best_Hip-Hop_Video 9351, MacArthur_Fellowship 4379, Maya_Angelou 786, Milton_Friedman 7690, Mos_Def 9419, Murray_Rothbard 9699, Nas 4900, National_Book_Award_for_Fiction 10628, Neo_soul 3241, Noam_Chomsky 9871, Ocean's_Eleven 7042, Outkast 9872, Physicist 9721, Political_philosophy 8121, Politics 1980, Presidential_Medal_of_Freedom 13926, Professor-GB 587, Pulitzer_Prize_for_General_Non-Fiction 7131, Q-Tip 5781, Rapcore 4961, Reggae 11528, Renal_failure 7324, Richard_Dawkins 2154, Richard_Rorty 5069, Ron_Carter 11677, Royal_Society 12864, Russian 4522, Saint_Petersburg 9323, Scientist-GB 10163, Ska 3852, Stephen_Hawking 1937, Stephen_Jay_Gould 4289, Teacher-GB 10983, Terror_in_the_Aisles 8659, The_Roots 6334, Thomas_Hobbes 12895, Thomas_Pynchon 10573, Toni_Morrison 13234, Vladimir_Vladimirovich_Nabokov 4528, West_Coast_hip_hop 128, White_Plains 5537, William_James 14132, Woodrow_Wilson src, edge_attr, dst 4450, award_winner, 11752 4450, group, 11752 4929, influenced_by, 11007 4929, influenced_by, 2552 4929, influenced_by, 5006 4929, influenced_by, 6334 4929, interests, 3504 4929, interests, 9721 4929, organization, 11677 4929, peers, 2552 4929, profession, 13068 4929, profession, 13926 2105, artists, 4450 2105, artists, 11752 2105, artists, 9760 2105, artists, 4828 2105, artists, 3846 2105, artists, 4307 2105, artists, 3555 2105, artists, 12209 2105, artists, 13780 2105, artists, 12113 2105, artists, 7690 2105, artists, 9699 2105, artists, 7042 2105, artists, 7131 2105, artists, 8659 2105, parent_genre, 10701 2105, parent_genre, 4528 7363, award_winner, 1487 7363, award_winner, 10573 14066, profession, 13926 8582, artist, 13780 8582, artist, 7042 8582, artist, 7131 3253, people, 10653 3253, people, 1937 12643, influenced_by, 4929 5785, student, 4929 5785, student, 7324 11752, award, 14173 11752, award_nominee, 4450 11752, award_nominee, 9699 11752, award_winner, 4450 1055, profession, 13068 1055, profession, 13926 8361, nominated_for, 9871 12178, artist, 13780 12178, artist, 7042 12178, artist, 7131 1529, influenced_by, 13074 1529, location, 4877 1529, organization, 6882 1529, place_of_burial, 4877 1529, profession, 6538 1529, profession, 9872 1529, profession, 13926 1529, profession, 9323 1529, religion, 7800 10359, influenced_by, 4929 1038, influenced_by, 1487 1038, influenced_by, 7324 1038, influenced_by, 13234 13241, artists, 12113 4828, artist_origin, 128 4828, group, 4307 4828, location, 128 9022, influenced_by, 8637 9022, influenced_by, 13821 9022, influenced_by, 12895 9022, place_of_birth, 4877 9022, profession, 13926 3846, acted_in, 10983 4708, artist, 4450 4708, artist, 11752 4708, artist, 9699 4708, artist, 8659 2518, artists, 3846 2518, artists, 3555 2518, artists, 7042 10710, location, 4522 10710, place_of_birth, 4522 10710, profession, 13926 10710, profession, 4289 8637, influenced_by, 13234 10701, artists, 12209 10701, artists, 7690 10701, artists, 9699 10701, artists, 7131 10701, parent_genre, 13241 10701, parent_genre, 2518 11222, profession, 13926 1487, influenced_by, 3241 1487, profession, 13926 3792, acted_in, 9871 3792, acted_in, 10983 3792, award_nominee, 8361 3792, nominated_for, 9871 7343, influenced_by, 4929 731, artists, 11752 731, artists, 3555 13060, artists, 7042 13060, parent_genre, 4528 7884, parent_genre, 10701 7884, parent_genre, 4528 9285, student, 7407 9285, student, 1937 294, influenced_by, 4929 4307, award, 9242 4307, award_nominee, 7690 9242, award_winner, 7042 7407, profession, 8682 7407, profession, 13926 9085, artists, 12209 9085, parent_genre, 10701 7818, artists, 4450 7818, artists, 11752 7818, artists, 7407 3807, artists, 4307 3807, artists, 13780 10653, influenced_by, 13074 10653, profession, 5048 10653, profession, 13926 10690, profession, 11283 10690, profession, 13926 10690, profession, 4289 8360, artists, 11752 8360, artists, 10690 8360, artists, 3555 4180, artists, 7131 4180, artists, 8659 4180, parent_genre, 2105 4180, parent_genre, 10701 1522, artist, 12209 1522, artist, 13780 1522, artist, 7131 13645, influenced_by, 5537 13645, peers, 5537 8595, influenced_by, 10359 8595, influenced_by, 5391 8595, influenced_by, 3398 8595, influenced_by, 13645 8595, influenced_by, 5006 8595, influenced_by, 11849 8595, influenced_by, 10808 8595, influenced_by, 6334 8595, interests, 9721 8595, interests, 8121 8595, organization, 6882 8595, profession, 13926 11849, influenced_by, 4929 13821, influenced_by, 13234 6670, place_of_birth, 128 6670, profession, 13926 12209, profession, 8682 12209, profession, 13926 12209, profession, 4289 10808, influenced_by, 4929 13780, award, 9242 13780, participant, 9699 10333, artists, 9760 10333, parent_genre, 10701 10333, parent_genre, 4528 2980, influenced_by, 11007 2980, influenced_by, 294 2980, influenced_by, 5391 2980, influenced_by, 3398 2980, influenced_by, 6334 2980, interests, 7907 2980, interests, 9721 2980, interests, 8121 2980, profession, 13926 2980, profession, 9323 3677, people, 10710 3677, people, 1937 14173, award_winner, 7042 9351, award_winner, 14066 9351, award_winner, 9022 9351, award_winner, 1937 4379, influenced_by, 9479 4379, influenced_by, 12842 4379, profession, 13926 786, influenced_by, 4929 786, influenced_by, 9419 7690, award, 10750 7690, award, 9242 7690, award_nominee, 4307 9419, influenced_by, 11007 9419, influenced_by, 12643 9419, influenced_by, 7343 9419, influenced_by, 5006 9419, interests, 3504 9419, profession, 13068 9419, profession, 5048 9419, profession, 13926 9419, profession, 9323 9699, award, 10750 9699, award, 14173 9699, award_nominee, 11752 9699, award_nominee, 12209 9699, participant, 13780 9699, spouse, 13780 10628, artists, 4828 10628, artists, 3555 10628, artists, 13780 10628, artists, 7042 10628, artists, 8659 3241, influenced_by, 4929 7042, award, 9242 7042, award, 14173 1980, award_winner, 4379 1980, award_winner, 3852 1980, award_winner, 10573 587, award_winner, 1529 7131, award, 10750 7131, award, 14173 5781, artists, 4450 5781, artists, 11752 5781, parent_genre, 10701 5781, parent_genre, 4528 4961, artists, 3846 11528, people, 11222 11528, people, 10653 7324, influenced_by, 10359 7324, peers, 1937 7324, profession, 13926 2154, influenced_by, 8595 2154, influenced_by, 2980 2154, influenced_by, 13234 2154, influenced_by, 5537 5069, profession, 11283 5069, profession, 13926 12864, people, 10710 12864, people, 13234 10163, artists, 9760 10163, artists, 3846 10163, artists, 13780 3852, organization, 11677 3852, profession, 6538 3852, profession, 9872 3852, profession, 13926 3852, profession, 9323 3852, religion, 7800 1937, award, 587 1937, peers, 7324 1937, profession, 13926 1937, profession, 9323 1937, religion, 7800 8659, award, 9242 12895, influenced_by, 13234 10573, award, 4900 10573, influenced_by, 12842 10573, profession, 13926 13234, award, 4900 13234, influenced_by, 9479 13234, place_of_birth, 4522 13234, profession, 13926 4528, parent_genre, 13241 4528, parent_genre, 2518 4528, parent_genre, 4961 5537, influenced_by, 2552 5537, influenced_by, 11849 5537, interests, 7907 5537, profession, 13926 5537, religion, 7800 14132, profession, 5048 14132, profession, 13926 Question: How are Alternative_hip_hop, Bernie_Mac, and Professor-GB related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Alternative_hip_hop", "Bernie_Mac", "Professor-GB" ], "valid_edges": [ [ "Adam_Horovitz", "award_winner", "Beastie_Boys" ], [ "Adam_Horovitz", "group", "Beastie_Boys" ], [ "Adam_Smith", "influenced_by", "Aristotle" ], [ "Adam_Smith", "influenced_by", "David_Hume" ], [ "Adam_Smith", "influenced_by", "John_Locke" ], [ "Adam_Smith", "influenced_by", "Thomas_Hobbes" ], [ "Adam_Smith", "interests", "Ethics" ], [ "Adam_Smith", "interests", "Political_philosophy" ], [ "Adam_Smith", "organization", "Royal_Society" ], [ "Adam_Smith", "peers", "David_Hume" ], [ "Adam_Smith", "profession", "Economist" ], [ "Adam_Smith", "profession", "Professor-GB" ], [ "Alternative_hip_hop", "artists", "Adam_Horovitz" ], [ "Alternative_hip_hop", "artists", "Beastie_Boys" ], [ "Alternative_hip_hop", "artists", "Calle_13" ], [ "Alternative_hip_hop", "artists", "Danger_Mouse" ], [ "Alternative_hip_hop", "artists", "Debbie_Harry" ], [ "Alternative_hip_hop", "artists", "Gorillaz" ], [ "Alternative_hip_hop", "artists", "Jamiroquai" ], [ "Alternative_hip_hop", "artists", "KRS-One" ], [ "Alternative_hip_hop", "artists", "Kelis" ], [ "Alternative_hip_hop", "artists", "M.I.A." ], [ "Alternative_hip_hop", "artists", "Mos_Def" ], [ "Alternative_hip_hop", "artists", "Nas" ], [ "Alternative_hip_hop", "artists", "Outkast" ], [ "Alternative_hip_hop", "artists", "Q-Tip" ], [ "Alternative_hip_hop", "artists", "The_Roots" ], [ "Alternative_hip_hop", "parent_genre", "East_Coast_hip_hop" ], [ "Alternative_hip_hop", "parent_genre", "West_Coast_hip_hop" ], [ "American_Book_Awards", "award_winner", "Edward_Said" ], [ "American_Book_Awards", "award_winner", "Toni_Morrison" ], [ "Anna_Deavere_Smith", "profession", "Professor-GB" ], [ "Arista_Records", "artist", "Kelis" ], [ "Arista_Records", "artist", "Outkast" ], [ "Arista_Records", "artist", "Q-Tip" ], [ "Ashkenazi_Jews", "people", "Isaac_Asimov" ], [ "Ashkenazi_Jews", "people", "Stephen_Jay_Gould" ], [ "Ayn_Rand", "influenced_by", "Adam_Smith" ], [ "Balliol_College", "student", "Adam_Smith" ], [ "Balliol_College", "student", "Richard_Dawkins" ], [ "Beastie_Boys", "award", "MTV_Video_Music_Award_for_Best_Hip-Hop_Video" ], [ "Beastie_Boys", "award_nominee", "Adam_Horovitz" ], [ "Beastie_Boys", "award_nominee", "Nas" ], [ "Beastie_Boys", "award_winner", "Adam_Horovitz" ], [ "Ben_Stein", "profession", "Economist" ], [ "Ben_Stein", "profession", "Professor-GB" ], [ "Bernie_Mac", "nominated_for", "Ocean's_Eleven" ], [ "Bertelsmann_Music_Group", "artist", "Kelis" ], [ "Bertelsmann_Music_Group", "artist", "Outkast" ], [ "Bertelsmann_Music_Group", "artist", "Q-Tip" ], [ "Carl_Sagan", "influenced_by", "H._G._Wells" ], [ "Carl_Sagan", "location", "Ithaca" ], [ "Carl_Sagan", "organization", "American_Philosophical_Society" ], [ "Carl_Sagan", "place_of_burial", "Ithaca" ], [ "Carl_Sagan", "profession", "Astronomer-GB" ], [ "Carl_Sagan", "profession", "Physicist" ], [ "Carl_Sagan", "profession", "Professor-GB" ], [ "Carl_Sagan", "profession", "Scientist-GB" ], [ "Carl_Sagan", "religion", "Agnosticism" ], [ "Charles_Darwin", "influenced_by", "Adam_Smith" ], [ "Christopher_Hitchens", "influenced_by", "Edward_Said" ], [ "Christopher_Hitchens", "influenced_by", "Richard_Dawkins" ], [ "Christopher_Hitchens", "influenced_by", "Vladimir_Vladimirovich_Nabokov" ], [ "Dancehall", "artists", "M.I.A." ], [ "Danger_Mouse", "artist_origin", "White_Plains" ], [ "Danger_Mouse", "group", "Gorillaz" ], [ "Danger_Mouse", "location", "White_Plains" ], [ "David_Foster_Wallace", "influenced_by", "Don_DeLillo" ], [ "David_Foster_Wallace", "influenced_by", "John_Updike" ], [ "David_Foster_Wallace", "influenced_by", "Thomas_Pynchon" ], [ "David_Foster_Wallace", "place_of_birth", "Ithaca" ], [ "David_Foster_Wallace", "profession", "Professor-GB" ], [ "Debbie_Harry", "acted_in", "Terror_in_the_Aisles" ], [ "Def_Jam_Recordings", "artist", "Adam_Horovitz" ], [ "Def_Jam_Recordings", "artist", "Beastie_Boys" ], [ "Def_Jam_Recordings", "artist", "Nas" ], [ "Def_Jam_Recordings", "artist", "The_Roots" ], [ "Disco", "artists", "Debbie_Harry" ], [ "Disco", "artists", "Jamiroquai" ], [ "Disco", "artists", "Outkast" ], [ "Dmitri_Shostakovich", "location", "Saint_Petersburg" ], [ "Dmitri_Shostakovich", "place_of_birth", "Saint_Petersburg" ], [ "Dmitri_Shostakovich", "profession", "Professor-GB" ], [ "Dmitri_Shostakovich", "profession", "Teacher-GB" ], [ "Don_DeLillo", "influenced_by", "Vladimir_Vladimirovich_Nabokov" ], [ "East_Coast_hip_hop", "artists", "KRS-One" ], [ "East_Coast_hip_hop", "artists", "Mos_Def" ], [ "East_Coast_hip_hop", "artists", "Nas" ], [ "East_Coast_hip_hop", "artists", "Q-Tip" ], [ "East_Coast_hip_hop", "parent_genre", "Dancehall" ], [ "East_Coast_hip_hop", "parent_genre", "Disco" ], [ "Edward_Dmytryk", "profession", "Professor-GB" ], [ "Edward_Said", "influenced_by", "Noam_Chomsky" ], [ "Edward_Said", "profession", "Professor-GB" ], [ "Elliott_Gould", "acted_in", "Ocean's_Eleven" ], [ "Elliott_Gould", "acted_in", "Terror_in_the_Aisles" ], [ "Elliott_Gould", "award_nominee", "Bernie_Mac" ], [ "Elliott_Gould", "nominated_for", "Ocean's_Eleven" ], [ "Friedrich_Hayek", "influenced_by", "Adam_Smith" ], [ "Funk_rock", "artists", "Beastie_Boys" ], [ "Funk_rock", "artists", "Jamiroquai" ], [ "G-funk", "artists", "Outkast" ], [ "G-funk", "parent_genre", "West_Coast_hip_hop" ], [ "Gangsta_rap", "parent_genre", "East_Coast_hip_hop" ], [ "Gangsta_rap", "parent_genre", "West_Coast_hip_hop" ], [ "Geology", "student", "Greg_Graffin" ], [ "Geology", "student", "Stephen_Jay_Gould" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influenced_by", "Adam_Smith" ], [ "Gorillaz", "award", "Grammy_Award_for_Best_Urban/Alternative_Performance" ], [ "Gorillaz", "award_nominee", "Mos_Def" ], [ "Grammy_Award_for_Best_Urban/Alternative_Performance", "award_winner", "Outkast" ], [ "Greg_Graffin", "profession", "Lecturer-GB" ], [ "Greg_Graffin", "profession", "Professor-GB" ], [ "Hardcore_hip_hop", "artists", "KRS-One" ], [ "Hardcore_hip_hop", "parent_genre", "East_Coast_hip_hop" ], [ "Hardcore_punk", "artists", "Adam_Horovitz" ], [ "Hardcore_punk", "artists", "Beastie_Boys" ], [ "Hardcore_punk", "artists", "Greg_Graffin" ], [ "House_music", "artists", "Gorillaz" ], [ "House_music", "artists", "Kelis" ], [ "Isaac_Asimov", "influenced_by", "H._G._Wells" ], [ "Isaac_Asimov", "profession", "Historian" ], [ "Isaac_Asimov", "profession", "Professor-GB" ], [ "Jaco_Pastorius", "profession", "Bassist" ], [ "Jaco_Pastorius", "profession", "Professor-GB" ], [ "Jaco_Pastorius", "profession", "Teacher-GB" ], [ "Jazz-funk", "artists", "Beastie_Boys" ], [ "Jazz-funk", "artists", "Jaco_Pastorius" ], [ "Jazz-funk", "artists", "Jamiroquai" ], [ "Jazz_rap", "artists", "Q-Tip" ], [ "Jazz_rap", "artists", "The_Roots" ], [ "Jazz_rap", "parent_genre", "Alternative_hip_hop" ], [ "Jazz_rap", "parent_genre", "East_Coast_hip_hop" ], [ "Jive_Records", "artist", "KRS-One" ], [ "Jive_Records", "artist", "Kelis" ], [ "Jive_Records", "artist", "Q-Tip" ], [ "John_Dewey", "influenced_by", "William_James" ], [ "John_Dewey", "peers", "William_James" ], [ "John_Rawls", "influenced_by", "Charles_Darwin" ], [ "John_Rawls", "influenced_by", "Immanuel_Kant" ], [ "John_Rawls", "influenced_by", "Jean-Jacques_Rousseau" ], [ "John_Rawls", "influenced_by", "John_Dewey" ], [ "John_Rawls", "influenced_by", "John_Locke" ], [ "John_Rawls", "influenced_by", "John_Stuart_Mill" ], [ "John_Rawls", "influenced_by", "Karl_Marx" ], [ "John_Rawls", "influenced_by", "Thomas_Hobbes" ], [ "John_Rawls", "interests", "Political_philosophy" ], [ "John_Rawls", "interests", "Politics" ], [ "John_Rawls", "organization", "American_Philosophical_Society" ], [ "John_Rawls", "profession", "Professor-GB" ], [ "John_Stuart_Mill", "influenced_by", "Adam_Smith" ], [ "John_Updike", "influenced_by", "Vladimir_Vladimirovich_Nabokov" ], [ "Joseph_Campbell", "place_of_birth", "White_Plains" ], [ "Joseph_Campbell", "profession", "Professor-GB" ], [ "KRS-One", "profession", "Lecturer-GB" ], [ "KRS-One", "profession", "Professor-GB" ], [ "KRS-One", "profession", "Teacher-GB" ], [ "Karl_Marx", "influenced_by", "Adam_Smith" ], [ "Kelis", "award", "Grammy_Award_for_Best_Urban/Alternative_Performance" ], [ "Kelis", "participant", "Nas" ], [ "Latin_hip_hop", "artists", "Calle_13" ], [ "Latin_hip_hop", "parent_genre", "East_Coast_hip_hop" ], [ "Latin_hip_hop", "parent_genre", "West_Coast_hip_hop" ], [ "Leo_Strauss", "influenced_by", "Aristotle" ], [ "Leo_Strauss", "influenced_by", "Georg_Wilhelm_Friedrich_Hegel" ], [ "Leo_Strauss", "influenced_by", "Immanuel_Kant" ], [ "Leo_Strauss", "influenced_by", "Jean-Jacques_Rousseau" ], [ "Leo_Strauss", "influenced_by", "Thomas_Hobbes" ], [ "Leo_Strauss", "interests", "Epistemology" ], [ "Leo_Strauss", "interests", "Political_philosophy" ], [ "Leo_Strauss", "interests", "Politics" ], [ "Leo_Strauss", "profession", "Professor-GB" ], [ "Leo_Strauss", "profession", "Scientist-GB" ], [ "Lung_cancer", "people", "Dmitri_Shostakovich" ], [ "Lung_cancer", "people", "Stephen_Jay_Gould" ], [ "MTV_Video_Music_Award_for_Best_Hip-Hop_Video", "award_winner", "Outkast" ], [ "MacArthur_Fellowship", "award_winner", "Anna_Deavere_Smith" ], [ "MacArthur_Fellowship", "award_winner", "David_Foster_Wallace" ], [ "MacArthur_Fellowship", "award_winner", "Stephen_Jay_Gould" ], [ "Maya_Angelou", "influenced_by", "Edgar_Allan_Poe" ], [ "Maya_Angelou", "influenced_by", "James_Baldwin" ], [ "Maya_Angelou", "profession", "Professor-GB" ], [ "Milton_Friedman", "influenced_by", "Adam_Smith" ], [ "Milton_Friedman", "influenced_by", "Murray_Rothbard" ], [ "Mos_Def", "award", "Grammy_Award_for_Best_Rap_Solo_Performance" ], [ "Mos_Def", "award", "Grammy_Award_for_Best_Urban/Alternative_Performance" ], [ "Mos_Def", "award_nominee", "Gorillaz" ], [ "Murray_Rothbard", "influenced_by", "Aristotle" ], [ "Murray_Rothbard", "influenced_by", "Ayn_Rand" ], [ "Murray_Rothbard", "influenced_by", "Friedrich_Hayek" ], [ "Murray_Rothbard", "influenced_by", "John_Locke" ], [ "Murray_Rothbard", "interests", "Ethics" ], [ "Murray_Rothbard", "profession", "Economist" ], [ "Murray_Rothbard", "profession", "Historian" ], [ "Murray_Rothbard", "profession", "Professor-GB" ], [ "Murray_Rothbard", "profession", "Scientist-GB" ], [ "Nas", "award", "Grammy_Award_for_Best_Rap_Solo_Performance" ], [ "Nas", "award", "MTV_Video_Music_Award_for_Best_Hip-Hop_Video" ], [ "Nas", "award_nominee", "Beastie_Boys" ], [ "Nas", "award_nominee", "KRS-One" ], [ "Nas", "participant", "Kelis" ], [ "Nas", "spouse", "Kelis" ], [ "Neo_soul", "artists", "Danger_Mouse" ], [ "Neo_soul", "artists", "Jamiroquai" ], [ "Neo_soul", "artists", "Kelis" ], [ "Neo_soul", "artists", "Outkast" ], [ "Neo_soul", "artists", "The_Roots" ], [ "Noam_Chomsky", "influenced_by", "Adam_Smith" ], [ "Outkast", "award", "Grammy_Award_for_Best_Urban/Alternative_Performance" ], [ "Outkast", "award", "MTV_Video_Music_Award_for_Best_Hip-Hop_Video" ], [ "Presidential_Medal_of_Freedom", "award_winner", "Maya_Angelou" ], [ "Presidential_Medal_of_Freedom", "award_winner", "Stephen_Hawking" ], [ "Presidential_Medal_of_Freedom", "award_winner", "Toni_Morrison" ], [ "Pulitzer_Prize_for_General_Non-Fiction", "award_winner", "Carl_Sagan" ], [ "Q-Tip", "award", "Grammy_Award_for_Best_Rap_Solo_Performance" ], [ "Q-Tip", "award", "MTV_Video_Music_Award_for_Best_Hip-Hop_Video" ], [ "Rapcore", "artists", "Adam_Horovitz" ], [ "Rapcore", "artists", "Beastie_Boys" ], [ "Rapcore", "parent_genre", "East_Coast_hip_hop" ], [ "Rapcore", "parent_genre", "West_Coast_hip_hop" ], [ "Reggae", "artists", "Debbie_Harry" ], [ "Renal_failure", "people", "Edward_Dmytryk" ], [ "Renal_failure", "people", "Isaac_Asimov" ], [ "Richard_Dawkins", "influenced_by", "Charles_Darwin" ], [ "Richard_Dawkins", "peers", "Stephen_Jay_Gould" ], [ "Richard_Dawkins", "profession", "Professor-GB" ], [ "Richard_Rorty", "influenced_by", "John_Rawls" ], [ "Richard_Rorty", "influenced_by", "Leo_Strauss" ], [ "Richard_Rorty", "influenced_by", "Vladimir_Vladimirovich_Nabokov" ], [ "Richard_Rorty", "influenced_by", "William_James" ], [ "Ron_Carter", "profession", "Bassist" ], [ "Ron_Carter", "profession", "Professor-GB" ], [ "Russian", "people", "Dmitri_Shostakovich" ], [ "Russian", "people", "Vladimir_Vladimirovich_Nabokov" ], [ "Ska", "artists", "Calle_13" ], [ "Ska", "artists", "Debbie_Harry" ], [ "Ska", "artists", "Kelis" ], [ "Stephen_Hawking", "organization", "Royal_Society" ], [ "Stephen_Hawking", "profession", "Astronomer-GB" ], [ "Stephen_Hawking", "profession", "Physicist" ], [ "Stephen_Hawking", "profession", "Professor-GB" ], [ "Stephen_Hawking", "profession", "Scientist-GB" ], [ "Stephen_Hawking", "religion", "Agnosticism" ], [ "Stephen_Jay_Gould", "award", "Pulitzer_Prize_for_General_Non-Fiction" ], [ "Stephen_Jay_Gould", "peers", "Richard_Dawkins" ], [ "Stephen_Jay_Gould", "profession", "Professor-GB" ], [ "Stephen_Jay_Gould", "profession", "Scientist-GB" ], [ "Stephen_Jay_Gould", "religion", "Agnosticism" ], [ "The_Roots", "award", "Grammy_Award_for_Best_Urban/Alternative_Performance" ], [ "Thomas_Pynchon", "influenced_by", "Vladimir_Vladimirovich_Nabokov" ], [ "Toni_Morrison", "award", "National_Book_Award_for_Fiction" ], [ "Toni_Morrison", "influenced_by", "James_Baldwin" ], [ "Toni_Morrison", "profession", "Professor-GB" ], [ "Vladimir_Vladimirovich_Nabokov", "award", "National_Book_Award_for_Fiction" ], [ "Vladimir_Vladimirovich_Nabokov", "influenced_by", "Edgar_Allan_Poe" ], [ "Vladimir_Vladimirovich_Nabokov", "place_of_birth", "Saint_Petersburg" ], [ "Vladimir_Vladimirovich_Nabokov", "profession", "Professor-GB" ], [ "West_Coast_hip_hop", "parent_genre", "Dancehall" ], [ "West_Coast_hip_hop", "parent_genre", "Disco" ], [ "West_Coast_hip_hop", "parent_genre", "Reggae" ], [ "William_James", "influenced_by", "David_Hume" ], [ "William_James", "influenced_by", "John_Stuart_Mill" ], [ "William_James", "interests", "Epistemology" ], [ "William_James", "profession", "Professor-GB" ], [ "William_James", "religion", "Agnosticism" ], [ "Woodrow_Wilson", "profession", "Historian" ], [ "Woodrow_Wilson", "profession", "Professor-GB" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 2316, Arthur_Wong 8838, Bodyguards_and_Assassins 8008, Cantonese 11144, Chinese_American 4159, Curse_of_the_Golden_Flower 601, Daniel_Wu 4140, Donnie_Yen 14262, DreamWorks_Animation 6954, Guitarist-GB 8707, Hong_Kong_Film_Award_for_Best_Action_Choreography 8217, Hong_Kong_Film_Award_for_Best_Cinematography 8501, Hong_Kong_Film_Award_for_Best_New_Performer 8997, Hong_Kong_Film_Award_for_Best_Supporting_Actor 7529, Hundred_Flowers_Award_for_Best_Actor 6035, Ip_Man 10905, Jay_Chou 13746, Mao's_Last_Dancer 900, Nicholas_Tse 3287, Rise_of_the_Guardians 969, Roger_Savage 7939, Shark_Tale 2824, Standard_Mandarin 11166, The_Warlords 9383, Ziggy_Marley src, edge_attr, dst 2316, nominated_for, 8838 2316, nominated_for, 11166 8838, award_honor_award, 8707 8838, award_honor_award, 8997 8838, award_winner, 900 8838, language, 8008 8838, language, 2824 11144, languages_spoken, 8008 11144, languages_spoken, 2824 11144, people, 601 4159, award_winner, 10905 4159, language, 2824 601, award, 8501 601, award, 8997 601, languages, 2824 4140, acted_in, 8838 4140, acted_in, 6035 4140, nominated_for, 6035 14262, nominated_for, 3287 8707, nominated_for, 4159 8707, nominated_for, 6035 8707, nominated_for, 11166 8217, nominated_for, 8838 8217, nominated_for, 4159 8217, nominated_for, 6035 8217, nominated_for, 11166 8501, award_winner, 10905 8501, award_winner, 900 8501, nominated_for, 8838 8997, award_winner, 900 8997, nominated_for, 8838 8997, nominated_for, 4159 8997, nominated_for, 6035 7529, nominated_for, 6035 7529, nominated_for, 11166 6035, award_honor_award, 8707 6035, language, 8008 6035, language, 2824 10905, acted_in, 4159 10905, award, 8997 10905, nominated_for, 4159 10905, profession, 6954 13746, crewmember, 969 13746, language, 2824 900, acted_in, 8838 900, award, 8501 900, award, 8997 900, languages, 2824 900, nominated_for, 8838 3287, award_winner, 14262 3287, production_companies, 14262 969, nominated_for, 4159 969, nominated_for, 13746 7939, production_companies, 14262 2824, titles, 4159 2824, titles, 6035 2824, titles, 11166 11166, award_honor_award, 8217 11166, cinematography, 2316 11166, language, 2824 9383, acted_in, 7939 9383, profession, 6954 Question: For what reason are Guitarist-GB, Rise_of_the_Guardians, and Standard_Mandarin associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Guitarist-GB", "Rise_of_the_Guardians", "Standard_Mandarin" ], "valid_edges": [ [ "Arthur_Wong", "nominated_for", "Bodyguards_and_Assassins" ], [ "Arthur_Wong", "nominated_for", "The_Warlords" ], [ "Bodyguards_and_Assassins", "award_honor_award", "Hong_Kong_Film_Award_for_Best_Action_Choreography" ], [ "Bodyguards_and_Assassins", "award_honor_award", "Hong_Kong_Film_Award_for_Best_Supporting_Actor" ], [ "Bodyguards_and_Assassins", "award_winner", "Nicholas_Tse" ], [ "Bodyguards_and_Assassins", "language", "Cantonese" ], [ "Bodyguards_and_Assassins", "language", "Standard_Mandarin" ], [ "Chinese_American", "languages_spoken", "Cantonese" ], [ "Chinese_American", "languages_spoken", "Standard_Mandarin" ], [ "Chinese_American", "people", "Daniel_Wu" ], [ "Curse_of_the_Golden_Flower", "award_winner", "Jay_Chou" ], [ "Curse_of_the_Golden_Flower", "language", "Standard_Mandarin" ], [ "Daniel_Wu", "award", "Hong_Kong_Film_Award_for_Best_New_Performer" ], [ "Daniel_Wu", "award", "Hong_Kong_Film_Award_for_Best_Supporting_Actor" ], [ "Daniel_Wu", "languages", "Standard_Mandarin" ], [ "Donnie_Yen", "acted_in", "Bodyguards_and_Assassins" ], [ "Donnie_Yen", "acted_in", "Ip_Man" ], [ "Donnie_Yen", "nominated_for", "Ip_Man" ], [ "DreamWorks_Animation", "nominated_for", "Rise_of_the_Guardians" ], [ "Hong_Kong_Film_Award_for_Best_Action_Choreography", "nominated_for", "Curse_of_the_Golden_Flower" ], [ "Hong_Kong_Film_Award_for_Best_Action_Choreography", "nominated_for", "Ip_Man" ], [ "Hong_Kong_Film_Award_for_Best_Action_Choreography", "nominated_for", "The_Warlords" ], [ "Hong_Kong_Film_Award_for_Best_Cinematography", "nominated_for", "Bodyguards_and_Assassins" ], [ "Hong_Kong_Film_Award_for_Best_Cinematography", "nominated_for", "Curse_of_the_Golden_Flower" ], [ "Hong_Kong_Film_Award_for_Best_Cinematography", "nominated_for", "Ip_Man" ], [ "Hong_Kong_Film_Award_for_Best_Cinematography", "nominated_for", "The_Warlords" ], [ "Hong_Kong_Film_Award_for_Best_New_Performer", "award_winner", "Jay_Chou" ], [ "Hong_Kong_Film_Award_for_Best_New_Performer", "award_winner", "Nicholas_Tse" ], [ "Hong_Kong_Film_Award_for_Best_New_Performer", "nominated_for", "Bodyguards_and_Assassins" ], [ "Hong_Kong_Film_Award_for_Best_Supporting_Actor", "award_winner", "Nicholas_Tse" ], [ "Hong_Kong_Film_Award_for_Best_Supporting_Actor", "nominated_for", "Bodyguards_and_Assassins" ], [ "Hong_Kong_Film_Award_for_Best_Supporting_Actor", "nominated_for", "Curse_of_the_Golden_Flower" ], [ "Hong_Kong_Film_Award_for_Best_Supporting_Actor", "nominated_for", "Ip_Man" ], [ "Hundred_Flowers_Award_for_Best_Actor", "nominated_for", "Ip_Man" ], [ "Hundred_Flowers_Award_for_Best_Actor", "nominated_for", "The_Warlords" ], [ "Ip_Man", "award_honor_award", "Hong_Kong_Film_Award_for_Best_Action_Choreography" ], [ "Ip_Man", "language", "Cantonese" ], [ "Ip_Man", "language", "Standard_Mandarin" ], [ "Jay_Chou", "acted_in", "Curse_of_the_Golden_Flower" ], [ "Jay_Chou", "award", "Hong_Kong_Film_Award_for_Best_Supporting_Actor" ], [ "Jay_Chou", "nominated_for", "Curse_of_the_Golden_Flower" ], [ "Jay_Chou", "profession", "Guitarist-GB" ], [ "Mao's_Last_Dancer", "crewmember", "Roger_Savage" ], [ "Mao's_Last_Dancer", "language", "Standard_Mandarin" ], [ "Nicholas_Tse", "acted_in", "Bodyguards_and_Assassins" ], [ "Nicholas_Tse", "award", "Hong_Kong_Film_Award_for_Best_New_Performer" ], [ "Nicholas_Tse", "award", "Hong_Kong_Film_Award_for_Best_Supporting_Actor" ], [ "Nicholas_Tse", "languages", "Standard_Mandarin" ], [ "Nicholas_Tse", "nominated_for", "Bodyguards_and_Assassins" ], [ "Rise_of_the_Guardians", "award_winner", "DreamWorks_Animation" ], [ "Rise_of_the_Guardians", "production_companies", "DreamWorks_Animation" ], [ "Roger_Savage", "nominated_for", "Curse_of_the_Golden_Flower" ], [ "Roger_Savage", "nominated_for", "Mao's_Last_Dancer" ], [ "Shark_Tale", "production_companies", "DreamWorks_Animation" ], [ "Standard_Mandarin", "titles", "Curse_of_the_Golden_Flower" ], [ "Standard_Mandarin", "titles", "Ip_Man" ], [ "Standard_Mandarin", "titles", "The_Warlords" ], [ "The_Warlords", "award_honor_award", "Hong_Kong_Film_Award_for_Best_Cinematography" ], [ "The_Warlords", "cinematography", "Arthur_Wong" ], [ "The_Warlords", "language", "Standard_Mandarin" ], [ "Ziggy_Marley", "acted_in", "Shark_Tale" ], [ "Ziggy_Marley", "profession", "Guitarist-GB" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 11924, 18th_Screen_Actors_Guild_Awards 1443, Alex_Manninger 5744, Algeria_national_football_team 5282, Australia_national_association_football_team 13708, Blackburn_Rovers_F.C. 4627, Brad_Jones 2362, David_Carney 1831, Empoli_F.C. 5540, Football_player 13238, Hameur_Bouazza 4757, Houssine_Kharja 10251, Independent_Spirit_Award_for_Best_Male_Lead 10072, Independent_Spirit_Award_for_Best_Supporting_Female 512, Independent_Spirit_Award_for_Best_Supporting_Male 10493, Jade_North 11811, Jason_Roberts 9315, Jessica_Chastain 1234, Jonathan_Walters 3931, Joshua_Kennedy 186, Mark_Bresciano 8931, Michael_Shannon 485, National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress 9554, Parma_F.C. 4569, Portsmouth_F.C. 12688, Ray_McKinnon 10589, Slovenia 3288, Slovenia_national_football_team 7069, Steve_Buscemi 12679, Take_Shelter 10145, Ternana_Calcio 10782, The_Help 1790, The_Tree_of_Life 9865, Theofanis_Gekas 9104, Torino_F.C. 5289, VfL_Bochum 7838, Vince_Grella src, edge_attr, dst 11924, award_winner, 9315 11924, award_winner, 8931 1443, profession, 5540 1443, team, 9104 5744, current_club, 4569 5744, current_club, 5289 5282, current_club, 13708 4627, profession, 5540 4627, team, 5282 2362, profession, 5540 2362, team, 5282 13238, profession, 5540 13238, team, 5744 4757, profession, 5540 4757, team, 10145 10251, nominated_for, 12679 10072, nominated_for, 12679 512, award_winner, 7069 10493, profession, 5540 10493, team, 5282 11811, profession, 5540 11811, team, 13708 9315, acted_in, 12679 9315, acted_in, 10782 9315, award, 10072 9315, award, 485 9315, award_nominee, 8931 9315, award_nominee, 12688 9315, nominated_for, 12679 9315, nominated_for, 10782 9315, nominated_for, 1790 1234, profession, 5540 1234, team, 13708 3931, profession, 5540 3931, team, 5282 186, profession, 5540 186, team, 5282 186, team, 1831 186, team, 9554 8931, acted_in, 12679 8931, award, 10251 8931, award_nominee, 9315 8931, award_nominee, 12688 8931, award_nominee, 7069 8931, award_winner, 7069 8931, nominated_for, 12679 485, nominated_for, 12679 12688, acted_in, 12679 12688, award, 512 12688, award_nominee, 9315 12688, nominated_for, 12679 10589, teams, 3288 3288, current_club, 5289 7069, award_nominee, 8931 7069, award_winner, 8931 12679, award_honor_award, 485 12679, award_winner, 9315 12679, film_release_region, 10589 12679, honored_for, 10782 12679, honored_for, 1790 12679, nominated_for, 10782 12679, nominated_for, 1790 10782, award_winner, 9315 10782, nominated_for, 12679 1790, award_winner, 9315 1790, nominated_for, 12679 9865, profession, 5540 9865, team, 4569 9865, team, 5289 7838, profession, 5540 7838, team, 5282 7838, team, 13708 7838, team, 1831 7838, team, 9554 7838, team, 10145 7838, team, 9104 Question: For what reason are Ray_McKinnon, VfL_Bochum, and Vince_Grella associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Ray_McKinnon", "VfL_Bochum", "Vince_Grella" ], "valid_edges": [ [ "18th_Screen_Actors_Guild_Awards", "award_winner", "Jessica_Chastain" ], [ "18th_Screen_Actors_Guild_Awards", "award_winner", "Michael_Shannon" ], [ "Alex_Manninger", "profession", "Football_player" ], [ "Alex_Manninger", "team", "Torino_F.C." ], [ "Algeria_national_football_team", "current_club", "Portsmouth_F.C." ], [ "Algeria_national_football_team", "current_club", "VfL_Bochum" ], [ "Australia_national_association_football_team", "current_club", "Blackburn_Rovers_F.C." ], [ "Brad_Jones", "profession", "Football_player" ], [ "Brad_Jones", "team", "Australia_national_association_football_team" ], [ "David_Carney", "profession", "Football_player" ], [ "David_Carney", "team", "Australia_national_association_football_team" ], [ "Hameur_Bouazza", "profession", "Football_player" ], [ "Hameur_Bouazza", "team", "Algeria_national_football_team" ], [ "Houssine_Kharja", "profession", "Football_player" ], [ "Houssine_Kharja", "team", "Ternana_Calcio" ], [ "Independent_Spirit_Award_for_Best_Male_Lead", "nominated_for", "Take_Shelter" ], [ "Independent_Spirit_Award_for_Best_Supporting_Female", "nominated_for", "Take_Shelter" ], [ "Independent_Spirit_Award_for_Best_Supporting_Male", "award_winner", "Steve_Buscemi" ], [ "Jade_North", "profession", "Football_player" ], [ "Jade_North", "team", "Australia_national_association_football_team" ], [ "Jason_Roberts", "profession", "Football_player" ], [ "Jason_Roberts", "team", "Blackburn_Rovers_F.C." ], [ "Jessica_Chastain", "acted_in", "Take_Shelter" ], [ "Jessica_Chastain", "acted_in", "The_Help" ], [ "Jessica_Chastain", "award", "Independent_Spirit_Award_for_Best_Supporting_Female" ], [ "Jessica_Chastain", "award", "National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress" ], [ "Jessica_Chastain", "award_nominee", "Michael_Shannon" ], [ "Jessica_Chastain", "award_nominee", "Ray_McKinnon" ], [ "Jessica_Chastain", "nominated_for", "Take_Shelter" ], [ "Jessica_Chastain", "nominated_for", "The_Help" ], [ "Jessica_Chastain", "nominated_for", "The_Tree_of_Life" ], [ "Jonathan_Walters", "profession", "Football_player" ], [ "Jonathan_Walters", "team", "Blackburn_Rovers_F.C." ], [ "Joshua_Kennedy", "profession", "Football_player" ], [ "Joshua_Kennedy", "team", "Australia_national_association_football_team" ], [ "Mark_Bresciano", "profession", "Football_player" ], [ "Mark_Bresciano", "team", "Australia_national_association_football_team" ], [ "Mark_Bresciano", "team", "Empoli_F.C." ], [ "Mark_Bresciano", "team", "Parma_F.C." ], [ "Michael_Shannon", "acted_in", "Take_Shelter" ], [ "Michael_Shannon", "award", "Independent_Spirit_Award_for_Best_Male_Lead" ], [ "Michael_Shannon", "award_nominee", "Jessica_Chastain" ], [ "Michael_Shannon", "award_nominee", "Ray_McKinnon" ], [ "Michael_Shannon", "award_nominee", "Steve_Buscemi" ], [ "Michael_Shannon", "award_winner", "Steve_Buscemi" ], [ "Michael_Shannon", "nominated_for", "Take_Shelter" ], [ "National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress", "nominated_for", "Take_Shelter" ], [ "Ray_McKinnon", "acted_in", "Take_Shelter" ], [ "Ray_McKinnon", "award", "Independent_Spirit_Award_for_Best_Supporting_Male" ], [ "Ray_McKinnon", "award_nominee", "Jessica_Chastain" ], [ "Ray_McKinnon", "nominated_for", "Take_Shelter" ], [ "Slovenia", "teams", "Slovenia_national_football_team" ], [ "Slovenia_national_football_team", "current_club", "VfL_Bochum" ], [ "Steve_Buscemi", "award_nominee", "Michael_Shannon" ], [ "Steve_Buscemi", "award_winner", "Michael_Shannon" ], [ "Take_Shelter", "award_honor_award", "National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress" ], [ "Take_Shelter", "award_winner", "Jessica_Chastain" ], [ "Take_Shelter", "film_release_region", "Slovenia" ], [ "Take_Shelter", "honored_for", "The_Help" ], [ "Take_Shelter", "honored_for", "The_Tree_of_Life" ], [ "Take_Shelter", "nominated_for", "The_Help" ], [ "Take_Shelter", "nominated_for", "The_Tree_of_Life" ], [ "The_Help", "award_winner", "Jessica_Chastain" ], [ "The_Help", "nominated_for", "Take_Shelter" ], [ "The_Tree_of_Life", "award_winner", "Jessica_Chastain" ], [ "The_Tree_of_Life", "nominated_for", "Take_Shelter" ], [ "Theofanis_Gekas", "profession", "Football_player" ], [ "Theofanis_Gekas", "team", "Portsmouth_F.C." ], [ "Theofanis_Gekas", "team", "VfL_Bochum" ], [ "Vince_Grella", "profession", "Football_player" ], [ "Vince_Grella", "team", "Australia_national_association_football_team" ], [ "Vince_Grella", "team", "Blackburn_Rovers_F.C." ], [ "Vince_Grella", "team", "Empoli_F.C." ], [ "Vince_Grella", "team", "Parma_F.C." ], [ "Vince_Grella", "team", "Ternana_Calcio" ], [ "Vince_Grella", "team", "Torino_F.C." ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 4936, A._R._Rahman 2407, Adele 5541, Aerosmith 6685, Annie_Lennox 2878, Aretha_Franklin 8582, Arista_Records 3342, Avril_Lavigne-US 10328, BFCA_Critics'_Choice_Award_for_Best_Song 6997, Barry_Manilow 10938, Basil_Poledouris 9603, Billy_Joel 8998, Bono 12015, Bryan_Adams 2384, Cancer 10173, Carlos_Santana 11076, Cee_Lo_Green 13137, Celine_Dion 2488, Chet_Atkins 1619, Colbie_Caillat 5419, Coldplay 9953, Coming_of_age 797, Conductor 9866, Crossroads 8584, Dave_Grusin 5162, Dave_Matthews_Band 5656, David_A._Stewart 2259, Dido 1635, Dolly_Parton 4520, Don_Henley 9812, Donna_Summer 6796, Eddie_Vedder 14170, Elmer_Bernstein 160, Elvis_Presley 2633, Ennio_Morricone 13803, Eurythmics 237, Folk_music 3097, Foo_Fighters 714, Frank_Sinatra 2059, Genesis 8176, George_Michael 3584, Gil_Scott-Heron 2385, Giorgio_Moroder 6518, Gloria_Estefan 7168, Green_Day 5558, Guildhall_School_of_Music_and_Drama 7610, Guns_N'_Roses 90, Harry_Belafonte 3369, Harry_Connick,_Jr. 11602, Harry_Gregson-Williams 10337, Heart 6001, Henry_Mancini 13049, Herbert_Stothart 10183, Hugh_Jackman 5934, Iggy_Pop 12704, Imogen_Heap 8225, Jack_Black 10024, James_Blunt 12325, James_Taylor 3555, Jamiroquai 4283, Jennifer_Hudson 5823, Jerry_Goldsmith 7000, Jewel 3512, John_Barry 11343, John_Hartford 9999, John_Legend 14023, John_Mellencamp 9276, Journey 10997, KYMX 3910, Katy_Perry 9661, Kelly_Clarkson 11541, Kings_of_Leon 13037, Korn 14017, Lauryn_Hill 11658, Leroy_Shield 11958, Les_Fradkin 1495, Levon_Helm 3486, Los_Lobos 7934, Loudon_Wainwright_III 12113, M.I.A. 3479, MC_Hammer 4469, MTV 5474, MTV_Video_Music_Award_for_Best_Cinematography 1825, MTV_Video_Music_Award_for_Best_Direction 3060, MTV_Video_Music_Award_for_Best_Rap_Video 12247, Marianne_Faithfull 14042, Martie_Maguire 9272, Marvin_Hamlisch 4967, Mary_J._Blige 2695, Maurice_Jarre 12997, Michel_Colombier 7985, Mick_Jagger 5531, Miley_Cyrus 7543, Music_Director 8152, Neil_Diamond 4377, Nina_Simone 9528, Orange_County 7042, Outkast 5865, Paul_Simon 649, Paul_Williams 12578, Peter_Tork 2278, Phil_Collins 882, R._Kelly 9284, RCA_Records 11646, Randy_Newman 3932, Razzie_Award_for_Worst_Original_Song 1439, Red_Hot_Chili_Peppers 4077, Rod_Stewart 2039, Sarah_McLachlan 13784, Satellite_Award_for_Best_Original_Song 858, Shakira 5958, Sony_BMG_Music_Entertainment 2258, Stephen_Schwartz 1808, Sullivan_County 13606, Teen_film 13469, The_Kinks 4455, The_Monkees 8187, The_Smashing_Pumpkins 2929, Tim_Rice 2690, Tom_Morello 3276, Toni_Braxton 13370, U2 6410, Usher 11981, Whitney_Houston 3435, ZZ_Top src, edge_attr, dst 4936, award, 10328 4936, award, 13784 4936, award_nominee, 2259 4936, award_nominee, 12113 4936, award_winner, 2259 4936, profession, 797 4936, profession, 7543 2407, award, 10328 2407, award, 1825 2407, award, 13784 5541, award, 5474 5541, award, 1825 2878, award, 10328 8582, artist, 6685 8582, artist, 2878 8582, artist, 6997 8582, artist, 10173 8582, artist, 11076 8582, artist, 2259 8582, artist, 13803 8582, artist, 3584 8582, artist, 5934 8582, artist, 4283 8582, artist, 11958 8582, artist, 7934 8582, artist, 7042 8582, artist, 12578 8582, artist, 2039 8582, artist, 13469 8582, artist, 4455 8582, artist, 3276 8582, artist, 6410 8582, artist, 11981 3342, award, 13784 3342, company, 8582 10328, award_winner, 5656 10328, award_winner, 2259 10328, award_winner, 6518 10328, award_winner, 7985 10328, award_winner, 2258 6997, profession, 797 10938, profession, 797 9603, award, 5474 8998, award, 10328 8998, award, 3932 12015, award, 5474 12015, award, 1825 12015, award, 13784 2384, people, 10938 2384, people, 9812 2384, people, 14170 2384, people, 13049 2384, people, 1495 2384, people, 2695 2384, people, 12997 2384, people, 4377 11076, award, 13784 5419, award, 5474 5419, award, 1825 9953, titles, 9528 9866, award_honor_award, 3932 9866, genre, 9953 9866, genre, 13606 9866, production_companies, 4469 8584, award, 3932 8584, profession, 797 5162, award, 5474 5656, award, 10328 5656, award, 3932 5656, award, 13784 2259, award, 10328 2259, award, 5474 2259, award, 1825 2259, award, 3060 2259, award, 3932 2259, award, 13784 2259, award_nominee, 4936 2259, nominated_for, 9866 1635, award, 10328 1635, award, 3932 4520, award, 5474 4520, award, 1825 6796, award, 10328 6796, award, 13784 14170, profession, 797 2633, award, 3932 2633, profession, 797 13803, award, 1825 237, artists, 2407 237, artists, 2488 237, artists, 1619 237, artists, 5656 237, artists, 2259 237, artists, 237 237, artists, 3584 237, artists, 90 237, artists, 10024 237, artists, 12325 237, artists, 7000 237, artists, 11343 237, artists, 14023 237, artists, 14017 237, artists, 1495 237, artists, 3486 237, artists, 7934 237, artists, 12113 237, artists, 12247 237, artists, 14042 237, artists, 8152 237, artists, 4377 237, artists, 5865 237, artists, 649 237, artists, 858 237, artists, 2690 3097, award, 1825 714, profession, 797 2059, award, 5474 2059, award, 1825 8176, award, 5474 8176, award, 1825 8176, award, 3932 2385, award, 3932 6518, award, 10328 7168, award, 1825 5558, campuses, 5558 5558, student, 2259 5558, student, 11602 7610, award, 5474 7610, award, 13784 3369, profession, 797 11602, profession, 797 6001, award, 3932 6001, profession, 797 13049, profession, 797 10183, award, 10328 10183, award, 13784 5934, award, 3932 8225, acted_in, 9528 10024, award, 5474 3555, award, 5474 3555, award, 1825 5823, profession, 797 3512, award, 3932 3512, profession, 797 9999, award, 10328 14023, award, 5474 14023, award, 13784 10997, artist, 5541 10997, artist, 3342 10997, artist, 9603 10997, artist, 12015 10997, artist, 13137 10997, artist, 1619 10997, artist, 5419 10997, artist, 2259 10997, artist, 4520 10997, artist, 160 10997, artist, 714 10997, artist, 2059 10997, artist, 8176 10997, artist, 6518 10997, artist, 7168 10997, artist, 3369 10997, artist, 10337 10997, artist, 10024 10997, artist, 12325 10997, artist, 7000 10997, artist, 9276 10997, artist, 9661 10997, artist, 5531 10997, artist, 2278 10997, artist, 4077 10997, artist, 2039 10997, artist, 3276 10997, artist, 13370 10997, artist, 11981 3910, award, 5474 3910, award, 1825 13037, award, 5474 13037, award, 1825 14017, award, 1825 11658, profession, 797 3486, award, 1825 12113, award, 1825 3479, award, 3060 3479, award, 3932 5474, award_winner, 2407 5474, award_winner, 4520 5474, award_winner, 7168 5474, award_winner, 10024 5474, award_winner, 3555 5474, award_winner, 12113 5474, award_winner, 8187 1825, award_winner, 5419 1825, award_winner, 4520 1825, award_winner, 8176 1825, award_winner, 7168 1825, award_winner, 12113 1825, award_winner, 1439 1825, award_winner, 8187 1825, award_winner, 3435 3060, award_winner, 3479 9272, award, 3932 9272, profession, 797 4967, award, 10328 4967, award, 13784 2695, profession, 797 12997, profession, 797 7985, award, 10328 7985, award, 13784 5531, award, 10328 7543, specialization_of, 797 8152, award, 3932 9528, adjoins, 1808 9528, genre, 9953 9528, genre, 13606 9528, production_companies, 4469 7042, award, 1825 5865, award, 10328 649, award, 10328 649, award, 13784 2278, award, 13784 9284, artist, 6685 9284, artist, 3342 9284, artist, 6997 9284, artist, 10173 9284, artist, 2488 9284, artist, 5162 9284, artist, 5656 9284, artist, 2259 9284, artist, 1635 9284, artist, 160 9284, artist, 13803 9284, artist, 3097 9284, artist, 3584 9284, artist, 2385 9284, artist, 90 9284, artist, 5934 9284, artist, 12704 9284, artist, 4283 9284, artist, 11343 9284, artist, 9661 9284, artist, 11541 9284, artist, 11658 9284, artist, 11958 9284, artist, 12247 9284, artist, 4377 9284, artist, 12578 9284, artist, 882 9284, artist, 4077 9284, artist, 2039 9284, artist, 13469 9284, artist, 4455 9284, artist, 6410 9284, artist, 3435 11646, award, 10328 11646, award, 13784 3932, award_winner, 6997 3932, award_winner, 2259 3932, award_winner, 1635 3932, award_winner, 8176 3932, award_winner, 5823 3932, award_winner, 3479 3932, nominated_for, 9866 1439, award, 5474 2039, award, 10328 13784, award_winner, 11646 858, award, 5474 858, award, 1825 5958, artist, 4936 5958, artist, 6685 5958, artist, 13137 5958, artist, 2259 5958, artist, 9812 5958, artist, 6518 5958, artist, 10337 5958, artist, 12704 5958, artist, 8225 5958, artist, 3555 5958, artist, 9999 5958, artist, 9276 5958, artist, 9661 5958, artist, 11541 5958, artist, 13037 5958, artist, 14042 5958, artist, 7042 5958, artist, 882 5958, artist, 858 5958, artist, 2690 5958, child, 9284 2258, award, 10328 2258, award, 13784 1808, adjoins, 9528 8187, award, 5474 8187, award, 1825 2929, award, 3932 2929, award, 13784 13370, award, 5474 13370, award, 1825 13370, award, 3932 11981, award, 3932 3435, award, 5474 3435, award, 1825 Question: In what context are Basil_Poledouris, Dido, and Sullivan_County connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Basil_Poledouris", "Dido", "Sullivan_County" ], "valid_edges": [ [ "A._R._Rahman", "award", "BFCA_Critics'_Choice_Award_for_Best_Song" ], [ "A._R._Rahman", "award", "Satellite_Award_for_Best_Original_Song" ], [ "A._R._Rahman", "award_nominee", "Dido" ], [ "A._R._Rahman", "award_nominee", "M.I.A." ], [ "A._R._Rahman", "award_winner", "Dido" ], [ "A._R._Rahman", "profession", "Conductor" ], [ "A._R._Rahman", "profession", "Music_Director" ], [ "Adele", "award", "BFCA_Critics'_Choice_Award_for_Best_Song" ], [ "Adele", "award", "MTV_Video_Music_Award_for_Best_Direction" ], [ "Adele", "award", "Satellite_Award_for_Best_Original_Song" ], [ "Aerosmith", "award", "MTV_Video_Music_Award_for_Best_Cinematography" ], [ "Aerosmith", "award", "MTV_Video_Music_Award_for_Best_Direction" ], [ "Aretha_Franklin", "award", "BFCA_Critics'_Choice_Award_for_Best_Song" ], [ "Arista_Records", "artist", "Annie_Lennox" ], [ "Arista_Records", "artist", "Aretha_Franklin" ], [ "Arista_Records", "artist", "Barry_Manilow" ], [ "Arista_Records", "artist", "Carlos_Santana" ], [ "Arista_Records", "artist", "Cee_Lo_Green" ], [ "Arista_Records", "artist", "Dido" ], [ "Arista_Records", "artist", "Eurythmics" ], [ "Arista_Records", "artist", "Gil_Scott-Heron" ], [ "Arista_Records", "artist", "Iggy_Pop" ], [ "Arista_Records", "artist", "Jennifer_Hudson" ], [ "Arista_Records", "artist", "Les_Fradkin" ], [ "Arista_Records", "artist", "Loudon_Wainwright_III" ], [ "Arista_Records", "artist", "Outkast" ], [ "Arista_Records", "artist", "Peter_Tork" ], [ "Arista_Records", "artist", "Sarah_McLachlan" ], [ "Arista_Records", "artist", "The_Kinks" ], [ "Arista_Records", "artist", "The_Monkees" ], [ "Arista_Records", "artist", "Toni_Braxton" ], [ "Arista_Records", "artist", "Usher" ], [ "Arista_Records", "artist", "Whitney_Houston" ], [ "Avril_Lavigne-US", "award", "Satellite_Award_for_Best_Original_Song" ], [ "Avril_Lavigne-US", "company", "Arista_Records" ], [ "BFCA_Critics'_Choice_Award_for_Best_Song", "award_winner", "David_A._Stewart" ], [ "BFCA_Critics'_Choice_Award_for_Best_Song", "award_winner", "Dido" ], [ "BFCA_Critics'_Choice_Award_for_Best_Song", "award_winner", "Gloria_Estefan" ], [ "BFCA_Critics'_Choice_Award_for_Best_Song", "award_winner", "Mick_Jagger" ], [ "BFCA_Critics'_Choice_Award_for_Best_Song", "award_winner", "Stephen_Schwartz" ], [ "Barry_Manilow", "profession", "Conductor" ], [ "Basil_Poledouris", "profession", "Conductor" ], [ "Billy_Joel", "award", "MTV_Video_Music_Award_for_Best_Cinematography" ], [ "Bono", "award", "BFCA_Critics'_Choice_Award_for_Best_Song" ], [ "Bono", "award", "Razzie_Award_for_Worst_Original_Song" ], [ "Bryan_Adams", "award", "MTV_Video_Music_Award_for_Best_Cinematography" ], [ "Bryan_Adams", "award", "MTV_Video_Music_Award_for_Best_Direction" ], [ "Bryan_Adams", "award", "Satellite_Award_for_Best_Original_Song" ], [ "Cancer", "people", "Basil_Poledouris" ], [ "Cancer", "people", "Donna_Summer" ], [ "Cancer", "people", "Elmer_Bernstein" ], [ "Cancer", "people", "Herbert_Stothart" ], [ "Cancer", "people", "Levon_Helm" ], [ "Cancer", "people", "Maurice_Jarre" ], [ "Cancer", "people", "Michel_Colombier" ], [ "Cancer", "people", "Nina_Simone" ], [ "Cee_Lo_Green", "award", "Satellite_Award_for_Best_Original_Song" ], [ "Coldplay", "award", "MTV_Video_Music_Award_for_Best_Cinematography" ], [ "Coldplay", "award", "MTV_Video_Music_Award_for_Best_Direction" ], [ "Coming_of_age", "titles", "Orange_County" ], [ "Crossroads", "award_honor_award", "Razzie_Award_for_Worst_Original_Song" ], [ "Crossroads", "genre", "Coming_of_age" ], [ "Crossroads", "genre", "Teen_film" ], [ "Crossroads", "production_companies", "MTV" ], [ "Dave_Grusin", "award", "Razzie_Award_for_Worst_Original_Song" ], [ "Dave_Grusin", "profession", "Conductor" ], [ "Dave_Matthews_Band", "award", "MTV_Video_Music_Award_for_Best_Cinematography" ], [ "David_A._Stewart", "award", "BFCA_Critics'_Choice_Award_for_Best_Song" ], [ "David_A._Stewart", "award", "Razzie_Award_for_Worst_Original_Song" ], [ "David_A._Stewart", "award", "Satellite_Award_for_Best_Original_Song" ], [ "Dido", "award", "BFCA_Critics'_Choice_Award_for_Best_Song" ], [ "Dido", "award", "MTV_Video_Music_Award_for_Best_Cinematography" ], [ "Dido", "award", "MTV_Video_Music_Award_for_Best_Direction" ], [ "Dido", "award", "MTV_Video_Music_Award_for_Best_Rap_Video" ], [ "Dido", "award", "Razzie_Award_for_Worst_Original_Song" ], [ "Dido", "award", "Satellite_Award_for_Best_Original_Song" ], [ "Dido", "award_nominee", "A._R._Rahman" ], [ "Dido", "nominated_for", "Crossroads" ], [ "Dolly_Parton", "award", "BFCA_Critics'_Choice_Award_for_Best_Song" ], [ "Dolly_Parton", "award", "Razzie_Award_for_Worst_Original_Song" ], [ "Don_Henley", "award", "MTV_Video_Music_Award_for_Best_Cinematography" ], [ "Don_Henley", "award", "MTV_Video_Music_Award_for_Best_Direction" ], [ "Eddie_Vedder", "award", "BFCA_Critics'_Choice_Award_for_Best_Song" ], [ "Eddie_Vedder", "award", "Satellite_Award_for_Best_Original_Song" ], [ "Elmer_Bernstein", "profession", "Conductor" ], [ "Ennio_Morricone", "award", "Razzie_Award_for_Worst_Original_Song" ], [ "Ennio_Morricone", "profession", "Conductor" ], [ "Eurythmics", "award", "MTV_Video_Music_Award_for_Best_Direction" ], [ "Folk_music", "artists", "Adele" ], [ "Folk_music", "artists", "Chet_Atkins" ], [ "Folk_music", "artists", "Colbie_Caillat" ], [ "Folk_music", "artists", "David_A._Stewart" ], [ "Folk_music", "artists", "Dido" ], [ "Folk_music", "artists", "Folk_music" ], [ "Folk_music", "artists", "Gil_Scott-Heron" ], [ "Folk_music", "artists", "Harry_Belafonte" ], [ "Folk_music", "artists", "James_Blunt" ], [ "Folk_music", "artists", "James_Taylor" ], [ "Folk_music", "artists", "Jewel" ], [ "Folk_music", "artists", "John_Hartford" ], [ "Folk_music", "artists", "John_Mellencamp" ], [ "Folk_music", "artists", "Lauryn_Hill" ], [ "Folk_music", "artists", "Levon_Helm" ], [ "Folk_music", "artists", "Los_Lobos" ], [ "Folk_music", "artists", "Loudon_Wainwright_III" ], [ "Folk_music", "artists", "M.I.A." ], [ "Folk_music", "artists", "Marianne_Faithfull" ], [ "Folk_music", "artists", "Martie_Maguire" ], [ "Folk_music", "artists", "Neil_Diamond" ], [ "Folk_music", "artists", "Nina_Simone" ], [ "Folk_music", "artists", "Paul_Simon" ], [ "Folk_music", "artists", "Paul_Williams" ], [ "Folk_music", "artists", "Shakira" ], [ "Folk_music", "artists", "Tom_Morello" ], [ "Foo_Fighters", "award", "MTV_Video_Music_Award_for_Best_Direction" ], [ "Frank_Sinatra", "profession", "Conductor" ], [ "Genesis", "award", "MTV_Video_Music_Award_for_Best_Cinematography" ], [ "Genesis", "award", "MTV_Video_Music_Award_for_Best_Direction" ], [ "George_Michael", "award", "MTV_Video_Music_Award_for_Best_Cinematography" ], [ "George_Michael", "award", "MTV_Video_Music_Award_for_Best_Direction" ], [ "George_Michael", "award", "Razzie_Award_for_Worst_Original_Song" ], [ "Giorgio_Moroder", "award", "Razzie_Award_for_Worst_Original_Song" ], [ "Gloria_Estefan", "award", "BFCA_Critics'_Choice_Award_for_Best_Song" ], [ "Green_Day", "award", "MTV_Video_Music_Award_for_Best_Direction" ], [ "Guildhall_School_of_Music_and_Drama", "campuses", "Guildhall_School_of_Music_and_Drama" ], [ "Guildhall_School_of_Music_and_Drama", "student", "Dido" ], [ "Guildhall_School_of_Music_and_Drama", "student", "Harry_Gregson-Williams" ], [ "Guns_N'_Roses", "award", "MTV_Video_Music_Award_for_Best_Cinematography" ], [ "Guns_N'_Roses", "award", "Satellite_Award_for_Best_Original_Song" ], [ "Harry_Connick,_Jr.", "profession", "Conductor" ], [ "Harry_Gregson-Williams", "profession", "Conductor" ], [ "Henry_Mancini", "award", "Razzie_Award_for_Worst_Original_Song" ], [ "Henry_Mancini", "profession", "Conductor" ], [ "Herbert_Stothart", "profession", "Conductor" ], [ "Hugh_Jackman", "award", "BFCA_Critics'_Choice_Award_for_Best_Song" ], [ "Hugh_Jackman", "award", "Satellite_Award_for_Best_Original_Song" ], [ "Iggy_Pop", "award", "Razzie_Award_for_Worst_Original_Song" ], [ "Jack_Black", "acted_in", "Orange_County" ], [ "James_Blunt", "award", "MTV_Video_Music_Award_for_Best_Cinematography" ], [ "Jamiroquai", "award", "MTV_Video_Music_Award_for_Best_Cinematography" ], [ "Jamiroquai", "award", "MTV_Video_Music_Award_for_Best_Direction" ], [ "Jerry_Goldsmith", "profession", "Conductor" ], [ "John_Barry", "award", "Razzie_Award_for_Worst_Original_Song" ], [ "John_Barry", "profession", "Conductor" ], [ "John_Legend", "award", "BFCA_Critics'_Choice_Award_for_Best_Song" ], [ "John_Mellencamp", "award", "MTV_Video_Music_Award_for_Best_Cinematography" ], [ "John_Mellencamp", "award", "Satellite_Award_for_Best_Original_Song" ], [ "KYMX", "artist", "Aerosmith" ], [ "KYMX", "artist", "Avril_Lavigne-US" ], [ "KYMX", "artist", "Billy_Joel" ], [ "KYMX", "artist", "Bryan_Adams" ], [ "KYMX", "artist", "Celine_Dion" ], [ "KYMX", "artist", "Colbie_Caillat" ], [ "KYMX", "artist", "Coldplay" ], [ "KYMX", "artist", "Dido" ], [ "KYMX", "artist", "Don_Henley" ], [ "KYMX", "artist", "Elvis_Presley" ], [ "KYMX", "artist", "Frank_Sinatra" ], [ "KYMX", "artist", "Genesis" ], [ "KYMX", "artist", "George_Michael" ], [ "KYMX", "artist", "Gloria_Estefan" ], [ "KYMX", "artist", "Green_Day" ], [ "KYMX", "artist", "Harry_Connick,_Jr." ], [ "KYMX", "artist", "Heart" ], [ "KYMX", "artist", "James_Blunt" ], [ "KYMX", "artist", "James_Taylor" ], [ "KYMX", "artist", "Jewel" ], [ "KYMX", "artist", "Journey" ], [ "KYMX", "artist", "Kelly_Clarkson" ], [ "KYMX", "artist", "Miley_Cyrus" ], [ "KYMX", "artist", "Phil_Collins" ], [ "KYMX", "artist", "Rod_Stewart" ], [ "KYMX", "artist", "Sarah_McLachlan" ], [ "KYMX", "artist", "Toni_Braxton" ], [ "KYMX", "artist", "U2" ], [ "KYMX", "artist", "Whitney_Houston" ], [ "Katy_Perry", "award", "MTV_Video_Music_Award_for_Best_Cinematography" ], [ "Katy_Perry", "award", "MTV_Video_Music_Award_for_Best_Direction" ], [ "Korn", "award", "MTV_Video_Music_Award_for_Best_Cinematography" ], [ "Korn", "award", "MTV_Video_Music_Award_for_Best_Direction" ], [ "Lauryn_Hill", "award", "MTV_Video_Music_Award_for_Best_Direction" ], [ "Leroy_Shield", "profession", "Conductor" ], [ "Los_Lobos", "award", "MTV_Video_Music_Award_for_Best_Direction" ], [ "M.I.A.", "award", "MTV_Video_Music_Award_for_Best_Direction" ], [ "MC_Hammer", "award", "MTV_Video_Music_Award_for_Best_Rap_Video" ], [ "MC_Hammer", "award", "Razzie_Award_for_Worst_Original_Song" ], [ "MTV_Video_Music_Award_for_Best_Cinematography", "award_winner", "Adele" ], [ "MTV_Video_Music_Award_for_Best_Cinematography", "award_winner", "Don_Henley" ], [ "MTV_Video_Music_Award_for_Best_Cinematography", "award_winner", "Green_Day" ], [ "MTV_Video_Music_Award_for_Best_Cinematography", "award_winner", "James_Blunt" ], [ "MTV_Video_Music_Award_for_Best_Cinematography", "award_winner", "Jamiroquai" ], [ "MTV_Video_Music_Award_for_Best_Cinematography", "award_winner", "M.I.A." ], [ "MTV_Video_Music_Award_for_Best_Cinematography", "award_winner", "The_Smashing_Pumpkins" ], [ "MTV_Video_Music_Award_for_Best_Direction", "award_winner", "Coldplay" ], [ "MTV_Video_Music_Award_for_Best_Direction", "award_winner", "Don_Henley" ], [ "MTV_Video_Music_Award_for_Best_Direction", "award_winner", "George_Michael" ], [ "MTV_Video_Music_Award_for_Best_Direction", "award_winner", "Green_Day" ], [ "MTV_Video_Music_Award_for_Best_Direction", "award_winner", "M.I.A." ], [ "MTV_Video_Music_Award_for_Best_Direction", "award_winner", "Red_Hot_Chili_Peppers" ], [ "MTV_Video_Music_Award_for_Best_Direction", "award_winner", "The_Smashing_Pumpkins" ], [ "MTV_Video_Music_Award_for_Best_Direction", "award_winner", "ZZ_Top" ], [ "MTV_Video_Music_Award_for_Best_Rap_Video", "award_winner", "MC_Hammer" ], [ "Marvin_Hamlisch", "award", "Razzie_Award_for_Worst_Original_Song" ], [ "Marvin_Hamlisch", "profession", "Conductor" ], [ "Mary_J._Blige", "award", "BFCA_Critics'_Choice_Award_for_Best_Song" ], [ "Mary_J._Blige", "award", "Satellite_Award_for_Best_Original_Song" ], [ "Maurice_Jarre", "profession", "Conductor" ], [ "Michel_Colombier", "profession", "Conductor" ], [ "Mick_Jagger", "award", "BFCA_Critics'_Choice_Award_for_Best_Song" ], [ "Mick_Jagger", "award", "Satellite_Award_for_Best_Original_Song" ], [ "Miley_Cyrus", "award", "BFCA_Critics'_Choice_Award_for_Best_Song" ], [ "Music_Director", "specialization_of", "Conductor" ], [ "Neil_Diamond", "award", "Razzie_Award_for_Worst_Original_Song" ], [ "Orange_County", "adjoins", "Sullivan_County" ], [ "Orange_County", "genre", "Coming_of_age" ], [ "Orange_County", "genre", "Teen_film" ], [ "Orange_County", "production_companies", "MTV" ], [ "Outkast", "award", "MTV_Video_Music_Award_for_Best_Direction" ], [ "Paul_Simon", "award", "BFCA_Critics'_Choice_Award_for_Best_Song" ], [ "Paul_Williams", "award", "BFCA_Critics'_Choice_Award_for_Best_Song" ], [ "Paul_Williams", "award", "Satellite_Award_for_Best_Original_Song" ], [ "Phil_Collins", "award", "Satellite_Award_for_Best_Original_Song" ], [ "RCA_Records", "artist", "Annie_Lennox" ], [ "RCA_Records", "artist", "Avril_Lavigne-US" ], [ "RCA_Records", "artist", "Barry_Manilow" ], [ "RCA_Records", "artist", "Carlos_Santana" ], [ "RCA_Records", "artist", "Chet_Atkins" ], [ "RCA_Records", "artist", "Dave_Matthews_Band" ], [ "RCA_Records", "artist", "David_A._Stewart" ], [ "RCA_Records", "artist", "Dido" ], [ "RCA_Records", "artist", "Dolly_Parton" ], [ "RCA_Records", "artist", "Elvis_Presley" ], [ "RCA_Records", "artist", "Eurythmics" ], [ "RCA_Records", "artist", "Foo_Fighters" ], [ "RCA_Records", "artist", "Gil_Scott-Heron" ], [ "RCA_Records", "artist", "Giorgio_Moroder" ], [ "RCA_Records", "artist", "Harry_Belafonte" ], [ "RCA_Records", "artist", "Iggy_Pop" ], [ "RCA_Records", "artist", "Imogen_Heap" ], [ "RCA_Records", "artist", "Jennifer_Hudson" ], [ "RCA_Records", "artist", "John_Hartford" ], [ "RCA_Records", "artist", "Kelly_Clarkson" ], [ "RCA_Records", "artist", "Kings_of_Leon" ], [ "RCA_Records", "artist", "Leroy_Shield" ], [ "RCA_Records", "artist", "Les_Fradkin" ], [ "RCA_Records", "artist", "Marianne_Faithfull" ], [ "RCA_Records", "artist", "Nina_Simone" ], [ "RCA_Records", "artist", "Peter_Tork" ], [ "RCA_Records", "artist", "R._Kelly" ], [ "RCA_Records", "artist", "Rod_Stewart" ], [ "RCA_Records", "artist", "Sarah_McLachlan" ], [ "RCA_Records", "artist", "The_Kinks" ], [ "RCA_Records", "artist", "The_Monkees" ], [ "RCA_Records", "artist", "Usher" ], [ "RCA_Records", "artist", "ZZ_Top" ], [ "Randy_Newman", "award", "BFCA_Critics'_Choice_Award_for_Best_Song" ], [ "Randy_Newman", "award", "Satellite_Award_for_Best_Original_Song" ], [ "Razzie_Award_for_Worst_Original_Song", "award_winner", "Barry_Manilow" ], [ "Razzie_Award_for_Worst_Original_Song", "award_winner", "Dido" ], [ "Razzie_Award_for_Worst_Original_Song", "award_winner", "Dolly_Parton" ], [ "Razzie_Award_for_Worst_Original_Song", "award_winner", "George_Michael" ], [ "Razzie_Award_for_Worst_Original_Song", "award_winner", "Jerry_Goldsmith" ], [ "Razzie_Award_for_Worst_Original_Song", "award_winner", "MC_Hammer" ], [ "Razzie_Award_for_Worst_Original_Song", "nominated_for", "Crossroads" ], [ "Red_Hot_Chili_Peppers", "award", "MTV_Video_Music_Award_for_Best_Cinematography" ], [ "Sarah_McLachlan", "award", "BFCA_Critics'_Choice_Award_for_Best_Song" ], [ "Satellite_Award_for_Best_Original_Song", "award_winner", "Randy_Newman" ], [ "Shakira", "award", "MTV_Video_Music_Award_for_Best_Cinematography" ], [ "Shakira", "award", "MTV_Video_Music_Award_for_Best_Direction" ], [ "Sony_BMG_Music_Entertainment", "artist", "A._R._Rahman" ], [ "Sony_BMG_Music_Entertainment", "artist", "Annie_Lennox" ], [ "Sony_BMG_Music_Entertainment", "artist", "Celine_Dion" ], [ "Sony_BMG_Music_Entertainment", "artist", "Dido" ], [ "Sony_BMG_Music_Entertainment", "artist", "Donna_Summer" ], [ "Sony_BMG_Music_Entertainment", "artist", "Gloria_Estefan" ], [ "Sony_BMG_Music_Entertainment", "artist", "Heart" ], [ "Sony_BMG_Music_Entertainment", "artist", "Imogen_Heap" ], [ "Sony_BMG_Music_Entertainment", "artist", "Jack_Black" ], [ "Sony_BMG_Music_Entertainment", "artist", "Jamiroquai" ], [ "Sony_BMG_Music_Entertainment", "artist", "John_Legend" ], [ "Sony_BMG_Music_Entertainment", "artist", "Journey" ], [ "Sony_BMG_Music_Entertainment", "artist", "Kelly_Clarkson" ], [ "Sony_BMG_Music_Entertainment", "artist", "Kings_of_Leon" ], [ "Sony_BMG_Music_Entertainment", "artist", "Korn" ], [ "Sony_BMG_Music_Entertainment", "artist", "Martie_Maguire" ], [ "Sony_BMG_Music_Entertainment", "artist", "Outkast" ], [ "Sony_BMG_Music_Entertainment", "artist", "R._Kelly" ], [ "Sony_BMG_Music_Entertainment", "artist", "Shakira" ], [ "Sony_BMG_Music_Entertainment", "artist", "Tom_Morello" ], [ "Sony_BMG_Music_Entertainment", "child", "RCA_Records" ], [ "Stephen_Schwartz", "award", "BFCA_Critics'_Choice_Award_for_Best_Song" ], [ "Stephen_Schwartz", "award", "Satellite_Award_for_Best_Original_Song" ], [ "Sullivan_County", "adjoins", "Orange_County" ], [ "The_Smashing_Pumpkins", "award", "MTV_Video_Music_Award_for_Best_Cinematography" ], [ "The_Smashing_Pumpkins", "award", "MTV_Video_Music_Award_for_Best_Direction" ], [ "Tim_Rice", "award", "Razzie_Award_for_Worst_Original_Song" ], [ "Tim_Rice", "award", "Satellite_Award_for_Best_Original_Song" ], [ "U2", "award", "MTV_Video_Music_Award_for_Best_Cinematography" ], [ "U2", "award", "MTV_Video_Music_Award_for_Best_Direction" ], [ "U2", "award", "Razzie_Award_for_Worst_Original_Song" ], [ "Whitney_Houston", "award", "Razzie_Award_for_Worst_Original_Song" ], [ "ZZ_Top", "award", "MTV_Video_Music_Award_for_Best_Cinematography" ], [ "ZZ_Top", "award", "MTV_Video_Music_Award_for_Best_Direction" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 616, 105th_United_States_Congress 13998, 106th_United_States_Congress 11768, 107th_United_States_Congress 1113, 108th_United_States_Congress 13445, 109th_United_States_Congress 362, 110th_United_States_Congress 7637, 111th_United_States_Congress 10634, 112th_United_States_Congress 6673, 113th_United_States_Congress 11774, 35_mm_film 8188, Arkansas 5049, Art_Director 8356, Attorney_general 6214, Austin 7858, Bahrain 11478, Baptists 13597, Benicio_del_Toro 10963, Boom_Operator 12944, Central_Time_Zone 624, Chile 5379, Christianity 1796, Colombia 8527, Contiguous_United_States 7535, Croatia 5432, Egypt 7749, Governor-GB 8951, Gregory_Nicotero 2646, Hulk 6330, Indonesia 12099, Iron_Man_2 2044, Jack_Kirby 13770, John_Debney 2091, Kazakhstan 2544, Kick-Ass 2712, Kuwait 7584, Lancaster_County 10157, Lawton 12982, Lutheranism 6326, MTV_Movie_Award_for_Best_Fight 13277, Malaysia 7662, Methodism 7171, Mickey_Rourke 403, Mike_Tollin 2922, Montgomery_County 6022, New_Orleans 13057, Nondenominational_Christianity 10522, Oklahoma 1726, Oklahoma_City 11369, Panama 7193, Pennsylvania 9830, Pentecostalism 2988, Peru 5986, Presbyterianism 8889, Secretary_of_state 11044, Sin_City 80, Slovakia 10589, Slovenia 7798, Smallville 6579, Storyboard_Artist 4566, Superhero 621, Superhero_movie 3961, Texas 8671, Tulsa 11139, Uruguay 13975, X-Men_Origins:_Wolverine src, edge_attr, dst 616, district_represented, 10522 616, district_represented, 7193 13998, district_represented, 10522 13998, district_represented, 7193 11768, district_represented, 10522 11768, district_represented, 7193 1113, district_represented, 10522 1113, district_represented, 7193 13445, district_represented, 10522 13445, district_represented, 7193 362, district_represented, 10522 362, district_represented, 7193 7637, district_represented, 10522 7637, district_represented, 7193 10634, district_represented, 10522 10634, district_represented, 7193 6673, district_represented, 10522 6673, district_represented, 7193 8188, adjoins, 10522 8188, time_zones, 12944 8356, jurisdiction_of_office, 10522 8356, jurisdiction_of_office, 7193 6214, time_zones, 12944 13597, acted_in, 11044 13597, location, 7193 8527, contains, 10522 8527, contains, 7193 8527, time_zones, 12944 7749, jurisdiction_of_office, 10522 7749, jurisdiction_of_office, 7193 8951, location, 7193 2646, crewmember, 8951 2646, film_release_region, 7858 2646, film_release_region, 1796 2646, film_release_region, 2712 2646, film_release_region, 11369 2646, film_release_region, 2988 2646, film_release_region, 10589 2646, genre, 621 2646, story_by, 2044 12099, film_crew_role, 10963 12099, film_crew_role, 6579 12099, film_format, 11774 12099, film_music, 13770 12099, film_release_region, 7858 12099, film_release_region, 624 12099, film_release_region, 1796 12099, film_release_region, 7535 12099, film_release_region, 5432 12099, film_release_region, 6330 12099, film_release_region, 2091 12099, film_release_region, 2712 12099, film_release_region, 13277 12099, film_release_region, 11369 12099, film_release_region, 2988 12099, film_release_region, 80 12099, film_release_region, 10589 12099, film_release_region, 11139 12099, genre, 621 12099, story_by, 2044 2044, tv_program, 7798 13770, nominated_for, 11044 2544, film_crew_role, 5049 2544, film_crew_role, 10963 2544, film_crew_role, 6579 2544, film_format, 11774 2544, film_release_region, 6214 2544, genre, 4566 2544, genre, 621 10157, place, 10157 10157, time_zones, 12944 6326, nominated_for, 2544 6326, nominated_for, 13975 7171, acted_in, 12099 7171, acted_in, 11044 7171, nominated_for, 12099 403, location, 7193 403, program, 7798 2922, time_zones, 12944 6022, time_zones, 12944 10522, adjoins, 8188 10522, adjoins, 3961 10522, capital, 1726 10522, contains, 10157 10522, contains, 1726 10522, contains, 8671 10522, religion, 11478 10522, religion, 5379 10522, religion, 12982 10522, religion, 7662 10522, religion, 13057 10522, religion, 9830 10522, religion, 5986 10522, time_zones, 12944 1726, administrative_division, 10522 1726, state, 10522 1726, time_zones, 12944 7193, contains, 7584 7193, contains, 2922 7193, religion, 11478 7193, religion, 5379 7193, religion, 12982 7193, religion, 7662 7193, religion, 13057 7193, religion, 9830 7193, religion, 5986 8889, jurisdiction_of_office, 10522 8889, jurisdiction_of_office, 7193 11044, featured_film_locations, 6214 11044, film_crew_role, 5049 11044, film_format, 11774 11044, film_music, 13770 11044, genre, 621 7798, genre, 621 4566, split_to, 621 3961, adjoins, 10522 3961, time_zones, 12944 8671, state, 10522 8671, time_zones, 12944 13975, featured_film_locations, 6022 13975, film_release_region, 624 13975, film_release_region, 1796 13975, film_release_region, 7535 13975, film_release_region, 5432 13975, film_release_region, 6330 13975, film_release_region, 2091 13975, film_release_region, 2712 13975, film_release_region, 13277 13975, film_release_region, 11369 13975, film_release_region, 2988 13975, film_release_region, 80 13975, film_release_region, 10589 13975, film_release_region, 11139 13975, genre, 4566 13975, genre, 621 Question: In what context are Lancaster_County, Lawton, and Superhero_movie connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Lancaster_County", "Lawton", "Superhero_movie" ], "valid_edges": [ [ "105th_United_States_Congress", "district_represented", "Oklahoma" ], [ "105th_United_States_Congress", "district_represented", "Pennsylvania" ], [ "106th_United_States_Congress", "district_represented", "Oklahoma" ], [ "106th_United_States_Congress", "district_represented", "Pennsylvania" ], [ "107th_United_States_Congress", "district_represented", "Oklahoma" ], [ "107th_United_States_Congress", "district_represented", "Pennsylvania" ], [ "108th_United_States_Congress", "district_represented", "Oklahoma" ], [ "108th_United_States_Congress", "district_represented", "Pennsylvania" ], [ "109th_United_States_Congress", "district_represented", "Oklahoma" ], [ "109th_United_States_Congress", "district_represented", "Pennsylvania" ], [ "110th_United_States_Congress", "district_represented", "Oklahoma" ], [ "110th_United_States_Congress", "district_represented", "Pennsylvania" ], [ "111th_United_States_Congress", "district_represented", "Oklahoma" ], [ "111th_United_States_Congress", "district_represented", "Pennsylvania" ], [ "112th_United_States_Congress", "district_represented", "Oklahoma" ], [ "112th_United_States_Congress", "district_represented", "Pennsylvania" ], [ "113th_United_States_Congress", "district_represented", "Oklahoma" ], [ "113th_United_States_Congress", "district_represented", "Pennsylvania" ], [ "Arkansas", "adjoins", "Oklahoma" ], [ "Arkansas", "time_zones", "Central_Time_Zone" ], [ "Attorney_general", "jurisdiction_of_office", "Oklahoma" ], [ "Attorney_general", "jurisdiction_of_office", "Pennsylvania" ], [ "Austin", "time_zones", "Central_Time_Zone" ], [ "Benicio_del_Toro", "acted_in", "Sin_City" ], [ "Benicio_del_Toro", "location", "Pennsylvania" ], [ "Contiguous_United_States", "contains", "Oklahoma" ], [ "Contiguous_United_States", "contains", "Pennsylvania" ], [ "Contiguous_United_States", "time_zones", "Central_Time_Zone" ], [ "Governor-GB", "jurisdiction_of_office", "Oklahoma" ], [ "Governor-GB", "jurisdiction_of_office", "Pennsylvania" ], [ "Gregory_Nicotero", "location", "Pennsylvania" ], [ "Hulk", "crewmember", "Gregory_Nicotero" ], [ "Hulk", "film_release_region", "Bahrain" ], [ "Hulk", "film_release_region", "Colombia" ], [ "Hulk", "film_release_region", "Kuwait" ], [ "Hulk", "film_release_region", "Panama" ], [ "Hulk", "film_release_region", "Peru" ], [ "Hulk", "film_release_region", "Slovenia" ], [ "Hulk", "genre", "Superhero_movie" ], [ "Hulk", "story_by", "Jack_Kirby" ], [ "Iron_Man_2", "film_crew_role", "Boom_Operator" ], [ "Iron_Man_2", "film_crew_role", "Storyboard_Artist" ], [ "Iron_Man_2", "film_format", "35_mm_film" ], [ "Iron_Man_2", "film_music", "John_Debney" ], [ "Iron_Man_2", "film_release_region", "Bahrain" ], [ "Iron_Man_2", "film_release_region", "Chile" ], [ "Iron_Man_2", "film_release_region", "Colombia" ], [ "Iron_Man_2", "film_release_region", "Croatia" ], [ "Iron_Man_2", "film_release_region", "Egypt" ], [ "Iron_Man_2", "film_release_region", "Indonesia" ], [ "Iron_Man_2", "film_release_region", "Kazakhstan" ], [ "Iron_Man_2", "film_release_region", "Kuwait" ], [ "Iron_Man_2", "film_release_region", "Malaysia" ], [ "Iron_Man_2", "film_release_region", "Panama" ], [ "Iron_Man_2", "film_release_region", "Peru" ], [ "Iron_Man_2", "film_release_region", "Slovakia" ], [ "Iron_Man_2", "film_release_region", "Slovenia" ], [ "Iron_Man_2", "film_release_region", "Uruguay" ], [ "Iron_Man_2", "genre", "Superhero_movie" ], [ "Iron_Man_2", "story_by", "Jack_Kirby" ], [ "Jack_Kirby", "tv_program", "Smallville" ], [ "John_Debney", "nominated_for", "Sin_City" ], [ "Kick-Ass", "film_crew_role", "Art_Director" ], [ "Kick-Ass", "film_crew_role", "Boom_Operator" ], [ "Kick-Ass", "film_crew_role", "Storyboard_Artist" ], [ "Kick-Ass", "film_format", "35_mm_film" ], [ "Kick-Ass", "film_release_region", "Austin" ], [ "Kick-Ass", "genre", "Superhero" ], [ "Kick-Ass", "genre", "Superhero_movie" ], [ "Lawton", "place", "Lawton" ], [ "Lawton", "time_zones", "Central_Time_Zone" ], [ "MTV_Movie_Award_for_Best_Fight", "nominated_for", "Kick-Ass" ], [ "MTV_Movie_Award_for_Best_Fight", "nominated_for", "X-Men_Origins:_Wolverine" ], [ "Mickey_Rourke", "acted_in", "Iron_Man_2" ], [ "Mickey_Rourke", "acted_in", "Sin_City" ], [ "Mickey_Rourke", "nominated_for", "Iron_Man_2" ], [ "Mike_Tollin", "location", "Pennsylvania" ], [ "Mike_Tollin", "program", "Smallville" ], [ "Montgomery_County", "time_zones", "Central_Time_Zone" ], [ "New_Orleans", "time_zones", "Central_Time_Zone" ], [ "Oklahoma", "adjoins", "Arkansas" ], [ "Oklahoma", "adjoins", "Texas" ], [ "Oklahoma", "capital", "Oklahoma_City" ], [ "Oklahoma", "contains", "Lawton" ], [ "Oklahoma", "contains", "Oklahoma_City" ], [ "Oklahoma", "contains", "Tulsa" ], [ "Oklahoma", "religion", "Baptists" ], [ "Oklahoma", "religion", "Christianity" ], [ "Oklahoma", "religion", "Lutheranism" ], [ "Oklahoma", "religion", "Methodism" ], [ "Oklahoma", "religion", "Nondenominational_Christianity" ], [ "Oklahoma", "religion", "Pentecostalism" ], [ "Oklahoma", "religion", "Presbyterianism" ], [ "Oklahoma", "time_zones", "Central_Time_Zone" ], [ "Oklahoma_City", "administrative_division", "Oklahoma" ], [ "Oklahoma_City", "state", "Oklahoma" ], [ "Oklahoma_City", "time_zones", "Central_Time_Zone" ], [ "Pennsylvania", "contains", "Lancaster_County" ], [ "Pennsylvania", "contains", "Montgomery_County" ], [ "Pennsylvania", "religion", "Baptists" ], [ "Pennsylvania", "religion", "Christianity" ], [ "Pennsylvania", "religion", "Lutheranism" ], [ "Pennsylvania", "religion", "Methodism" ], [ "Pennsylvania", "religion", "Nondenominational_Christianity" ], [ "Pennsylvania", "religion", "Pentecostalism" ], [ "Pennsylvania", "religion", "Presbyterianism" ], [ "Secretary_of_state", "jurisdiction_of_office", "Oklahoma" ], [ "Secretary_of_state", "jurisdiction_of_office", "Pennsylvania" ], [ "Sin_City", "featured_film_locations", "Austin" ], [ "Sin_City", "film_crew_role", "Art_Director" ], [ "Sin_City", "film_format", "35_mm_film" ], [ "Sin_City", "film_music", "John_Debney" ], [ "Sin_City", "genre", "Superhero_movie" ], [ "Smallville", "genre", "Superhero_movie" ], [ "Superhero", "split_to", "Superhero_movie" ], [ "Texas", "adjoins", "Oklahoma" ], [ "Texas", "time_zones", "Central_Time_Zone" ], [ "Tulsa", "state", "Oklahoma" ], [ "Tulsa", "time_zones", "Central_Time_Zone" ], [ "X-Men_Origins:_Wolverine", "featured_film_locations", "New_Orleans" ], [ "X-Men_Origins:_Wolverine", "film_release_region", "Chile" ], [ "X-Men_Origins:_Wolverine", "film_release_region", "Colombia" ], [ "X-Men_Origins:_Wolverine", "film_release_region", "Croatia" ], [ "X-Men_Origins:_Wolverine", "film_release_region", "Egypt" ], [ "X-Men_Origins:_Wolverine", "film_release_region", "Indonesia" ], [ "X-Men_Origins:_Wolverine", "film_release_region", "Kazakhstan" ], [ "X-Men_Origins:_Wolverine", "film_release_region", "Kuwait" ], [ "X-Men_Origins:_Wolverine", "film_release_region", "Malaysia" ], [ "X-Men_Origins:_Wolverine", "film_release_region", "Panama" ], [ "X-Men_Origins:_Wolverine", "film_release_region", "Peru" ], [ "X-Men_Origins:_Wolverine", "film_release_region", "Slovakia" ], [ "X-Men_Origins:_Wolverine", "film_release_region", "Slovenia" ], [ "X-Men_Origins:_Wolverine", "film_release_region", "Uruguay" ], [ "X-Men_Origins:_Wolverine", "genre", "Superhero" ], [ "X-Men_Origins:_Wolverine", "genre", "Superhero_movie" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 2476, 48th_Academy_Awards 10677, Antonio_Banderas 685, Birmingham 5271, Charlie's_Angels:_Full_Throttle 9070, Computer_Animation 6265, Cruel_Intentions 3967, Dana_Carvey 14262, DreamWorks_Animation 10901, Eric_Idle 8852, Fairy_tale 2821, Gary_Barber 6139, George_Burns 7988, Graham_Chapman 11602, Harry_Gregson-Williams 6367, John_Cleese 4376, John_Oliver 5786, Julie_Andrews 5247, Louise_Fletcher 11667, MTV_Movie_Award_for_Best_Dance_Sequence 7769, Michael_DeLuca 12147, Michael_Palin 282, Mike_Myers 7453, Monty_Python 10769, Neal_H._Moritz 12979, Qatar 7008, Regis_Philbin 1548, Roger_Birnbaum 9898, Rupert_Everett 4106, Shrek_2 2877, Shrek_Forever_After 6608, Shrek_the_Third 11543, Spike_Milligan 7668, Spyglass_Entertainment 2007, Technical_Director 2301, Terry_Gilliam 827, Terry_Jones 4174, The_Love_Guru 11465, Winnie_the_Pooh src, edge_attr, dst 2476, award_winner, 6139 2476, award_winner, 5247 10677, acted_in, 2877 10677, acted_in, 6608 10677, nominated_for, 4106 685, place, 685 6265, produced_by, 10769 3967, award_nominee, 282 3967, celebrities_impersonated, 6139 3967, celebrities_impersonated, 7008 10901, acted_in, 6608 10901, award_nominee, 6367 10901, group, 7453 2821, award_nominee, 10769 2821, award_nominee, 1548 2821, award_winner, 7769 2821, award_winner, 282 2821, award_winner, 1548 2821, nominated_for, 4174 2821, organizations_founded, 7668 7988, award_nominee, 6367 7988, group, 7453 6367, acted_in, 5271 6367, acted_in, 4106 6367, acted_in, 2877 6367, acted_in, 6608 6367, acted_in, 11465 6367, award_nominee, 10901 6367, award_nominee, 7988 6367, award_nominee, 12147 6367, award_nominee, 2301 6367, award_nominee, 827 6367, group, 7453 6367, influenced_by, 11543 4376, acted_in, 4174 4376, place_of_birth, 685 5786, acted_in, 4106 5786, acted_in, 2877 5786, acted_in, 6608 5247, acted_in, 6265 5247, location, 685 5247, place_of_birth, 685 11667, award_winner, 282 11667, nominated_for, 5271 7769, award_nominee, 2821 7769, award_nominee, 282 7769, award_winner, 2821 7769, nominated_for, 4174 12147, award_nominee, 6367 12147, group, 7453 282, acted_in, 4106 282, acted_in, 2877 282, acted_in, 6608 282, acted_in, 4174 282, award, 11667 282, award_nominee, 3967 282, award_nominee, 7769 282, award_winner, 3967 282, award_winner, 7769 282, influenced_by, 6367 282, influenced_by, 7453 282, nominated_for, 4106 7453, influenced_by, 11543 10769, award_nominee, 2821 7008, acted_in, 2877 7008, acted_in, 6608 9898, acted_in, 4106 9898, acted_in, 6608 4106, film_music, 11602 4106, genre, 9070 4106, genre, 8852 4106, production_companies, 14262 2877, film_crew_role, 2007 2877, film_music, 11602 2877, genre, 9070 2877, genre, 8852 2877, prequel, 6608 2877, production_companies, 14262 6608, film_crew_role, 2007 6608, film_music, 11602 6608, genre, 8852 6608, prequel, 4106 6608, production_companies, 14262 2301, award_nominee, 6367 2301, group, 7453 827, award_nominee, 6367 827, group, 7453 4174, award_winner, 7769 4174, award_winner, 282 4174, executive_produced_by, 2821 4174, executive_produced_by, 1548 4174, produced_by, 7769 4174, produced_by, 282 4174, production_companies, 7668 4174, written_by, 282 11465, film_release_region, 12979 Question: How are Louise_Fletcher, Mike_Myers, and Qatar related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Louise_Fletcher", "Mike_Myers", "Qatar" ], "valid_edges": [ [ "48th_Academy_Awards", "award_winner", "George_Burns" ], [ "48th_Academy_Awards", "award_winner", "Louise_Fletcher" ], [ "Antonio_Banderas", "acted_in", "Shrek_Forever_After" ], [ "Antonio_Banderas", "acted_in", "Shrek_the_Third" ], [ "Antonio_Banderas", "nominated_for", "Shrek_2" ], [ "Birmingham", "place", "Birmingham" ], [ "Cruel_Intentions", "produced_by", "Neal_H._Moritz" ], [ "Dana_Carvey", "award_nominee", "Mike_Myers" ], [ "Dana_Carvey", "celebrities_impersonated", "George_Burns" ], [ "Dana_Carvey", "celebrities_impersonated", "Regis_Philbin" ], [ "Eric_Idle", "acted_in", "Shrek_the_Third" ], [ "Eric_Idle", "award_nominee", "John_Cleese" ], [ "Eric_Idle", "group", "Monty_Python" ], [ "Gary_Barber", "award_nominee", "Neal_H._Moritz" ], [ "Gary_Barber", "award_nominee", "Roger_Birnbaum" ], [ "Gary_Barber", "award_winner", "Michael_DeLuca" ], [ "Gary_Barber", "award_winner", "Mike_Myers" ], [ "Gary_Barber", "award_winner", "Roger_Birnbaum" ], [ "Gary_Barber", "nominated_for", "The_Love_Guru" ], [ "Gary_Barber", "organizations_founded", "Spyglass_Entertainment" ], [ "Graham_Chapman", "award_nominee", "John_Cleese" ], [ "Graham_Chapman", "group", "Monty_Python" ], [ "John_Cleese", "acted_in", "Charlie's_Angels:_Full_Throttle" ], [ "John_Cleese", "acted_in", "Shrek_2" ], [ "John_Cleese", "acted_in", "Shrek_Forever_After" ], [ "John_Cleese", "acted_in", "Shrek_the_Third" ], [ "John_Cleese", "acted_in", "Winnie_the_Pooh" ], [ "John_Cleese", "award_nominee", "Eric_Idle" ], [ "John_Cleese", "award_nominee", "Graham_Chapman" ], [ "John_Cleese", "award_nominee", "Michael_Palin" ], [ "John_Cleese", "award_nominee", "Terry_Gilliam" ], [ "John_Cleese", "award_nominee", "Terry_Jones" ], [ "John_Cleese", "group", "Monty_Python" ], [ "John_Cleese", "influenced_by", "Spike_Milligan" ], [ "John_Oliver", "acted_in", "The_Love_Guru" ], [ "John_Oliver", "place_of_birth", "Birmingham" ], [ "Julie_Andrews", "acted_in", "Shrek_2" ], [ "Julie_Andrews", "acted_in", "Shrek_Forever_After" ], [ "Julie_Andrews", "acted_in", "Shrek_the_Third" ], [ "Louise_Fletcher", "acted_in", "Cruel_Intentions" ], [ "Louise_Fletcher", "location", "Birmingham" ], [ "Louise_Fletcher", "place_of_birth", "Birmingham" ], [ "MTV_Movie_Award_for_Best_Dance_Sequence", "award_winner", "Mike_Myers" ], [ "MTV_Movie_Award_for_Best_Dance_Sequence", "nominated_for", "Charlie's_Angels:_Full_Throttle" ], [ "Michael_DeLuca", "award_nominee", "Gary_Barber" ], [ "Michael_DeLuca", "award_nominee", "Mike_Myers" ], [ "Michael_DeLuca", "award_winner", "Gary_Barber" ], [ "Michael_DeLuca", "nominated_for", "The_Love_Guru" ], [ "Michael_Palin", "award_nominee", "John_Cleese" ], [ "Michael_Palin", "group", "Monty_Python" ], [ "Mike_Myers", "acted_in", "Shrek_2" ], [ "Mike_Myers", "acted_in", "Shrek_Forever_After" ], [ "Mike_Myers", "acted_in", "Shrek_the_Third" ], [ "Mike_Myers", "acted_in", "The_Love_Guru" ], [ "Mike_Myers", "award", "MTV_Movie_Award_for_Best_Dance_Sequence" ], [ "Mike_Myers", "award_nominee", "Dana_Carvey" ], [ "Mike_Myers", "award_nominee", "Michael_DeLuca" ], [ "Mike_Myers", "award_winner", "Dana_Carvey" ], [ "Mike_Myers", "award_winner", "Michael_DeLuca" ], [ "Mike_Myers", "influenced_by", "John_Cleese" ], [ "Mike_Myers", "influenced_by", "Monty_Python" ], [ "Mike_Myers", "nominated_for", "Shrek_2" ], [ "Monty_Python", "influenced_by", "Spike_Milligan" ], [ "Neal_H._Moritz", "award_nominee", "Gary_Barber" ], [ "Regis_Philbin", "acted_in", "Shrek_Forever_After" ], [ "Regis_Philbin", "acted_in", "Shrek_the_Third" ], [ "Rupert_Everett", "acted_in", "Shrek_2" ], [ "Rupert_Everett", "acted_in", "Shrek_the_Third" ], [ "Shrek_2", "film_music", "Harry_Gregson-Williams" ], [ "Shrek_2", "genre", "Computer_Animation" ], [ "Shrek_2", "genre", "Fairy_tale" ], [ "Shrek_2", "production_companies", "DreamWorks_Animation" ], [ "Shrek_Forever_After", "film_crew_role", "Technical_Director" ], [ "Shrek_Forever_After", "film_music", "Harry_Gregson-Williams" ], [ "Shrek_Forever_After", "genre", "Computer_Animation" ], [ "Shrek_Forever_After", "genre", "Fairy_tale" ], [ "Shrek_Forever_After", "prequel", "Shrek_the_Third" ], [ "Shrek_Forever_After", "production_companies", "DreamWorks_Animation" ], [ "Shrek_the_Third", "film_crew_role", "Technical_Director" ], [ "Shrek_the_Third", "film_music", "Harry_Gregson-Williams" ], [ "Shrek_the_Third", "genre", "Fairy_tale" ], [ "Shrek_the_Third", "prequel", "Shrek_2" ], [ "Shrek_the_Third", "production_companies", "DreamWorks_Animation" ], [ "Terry_Gilliam", "award_nominee", "John_Cleese" ], [ "Terry_Gilliam", "group", "Monty_Python" ], [ "Terry_Jones", "award_nominee", "John_Cleese" ], [ "Terry_Jones", "group", "Monty_Python" ], [ "The_Love_Guru", "award_winner", "Michael_DeLuca" ], [ "The_Love_Guru", "award_winner", "Mike_Myers" ], [ "The_Love_Guru", "executive_produced_by", "Gary_Barber" ], [ "The_Love_Guru", "executive_produced_by", "Roger_Birnbaum" ], [ "The_Love_Guru", "produced_by", "Michael_DeLuca" ], [ "The_Love_Guru", "produced_by", "Mike_Myers" ], [ "The_Love_Guru", "production_companies", "Spyglass_Entertainment" ], [ "The_Love_Guru", "written_by", "Mike_Myers" ], [ "Winnie_the_Pooh", "film_release_region", "Qatar" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 13813, Albany 6981, Albany_County 10876, Allegany_County 12980, Auburn 8417, Binghamton 2210, Bronxville 9925, Broome_County 5394, Buffalo 8622, Cattaraugus_County 14239, Cayuga_County 1964, Chautauqua_County 5206, Columbia 11430, Columbia_County 5064, Connecticut 8527, Contiguous_United_States 5715, Defender 2676, Delaware_County 11711, Dutchess_County 10846, Eastern_Time_Zone 11324, Empire_State_Building 13688, Erie_County 245, Essex_County 1018, Franklin_County 13435, Gene_Simmons 2368, Glen_Cove 14161, Greene_County 11913, Herkimer_County 13945, Huntington 847, Israel 8882, Israel_national_football_team 4877, Ithaca 7300, Jamestown 12731, Jefferson_County 780, Livingston_County 11743, Madison_County 2454, Malden 6481, Manhattan 9240, Massachusetts 9391, Monroe_County 2922, Montgomery_County 3437, Mount_Vernon 13002, Nassau_County 5127, New_Jersey 9780, New_Rochelle 3448, New_York 5505, New_York_City 9791, New_York_University_School_of_Law 3503, Niagara_County 6892, Niagara_Falls 3885, Oneida_County 910, Onondaga_County 2165, Ontario_County 9528, Orange_County 2942, Oswego 5970, Oswego_County 12916, Otsego_County 12248, PAS_Giannina_F.C. 7193, Pennsylvania 9651, Poughkeepsie 5486, Putnam_County 2406, Queens 8452, Rensselaer_County 4619, Rochester 10067, Rockland_County 12521, Saratoga_County 13281, Schenectady 3468, St._Lawrence_County 7252, Staten_Island 4187, Steuben_County 10043, Suffolk_County 1808, Sullivan_County 8431, Syracuse 6092, The_Bronx 8183, Tompkins_County 8376, Troy 3205, Ulster_County 6852, United_States_Department_of_Housing_and_Urban_Development 3702, Utica 6558, Vermont 6010, Warren_County 6961, Washington,_D.C. 14116, Washington_County 10737, Westchester_County 128, White_Plains 12682, Yonkers src, edge_attr, dst 13813, source, 6852 13813, time_zones, 10846 6981, source, 6852 6981, time_zones, 10846 10876, source, 6852 10876, time_zones, 10846 12980, source, 6852 12980, time_zones, 10846 8417, source, 6852 8417, time_zones, 10846 2210, source, 6852 2210, time_zones, 10846 9925, source, 6852 9925, time_zones, 10846 5394, source, 6852 5394, time_zones, 10846 8622, source, 6852 8622, time_zones, 10846 14239, source, 6852 14239, time_zones, 10846 1964, source, 6852 1964, time_zones, 10846 5206, citytown, 5505 5206, source, 6852 5206, time_zones, 10846 11430, source, 6852 11430, time_zones, 10846 5064, adjoins, 9240 5064, time_zones, 10846 8527, contains, 9240 8527, time_zones, 10846 5715, team, 8882 5715, team, 12248 2676, source, 6852 2676, time_zones, 10846 11711, source, 6852 11711, time_zones, 10846 11324, time_zones, 10846 13688, source, 6852 13688, time_zones, 10846 245, source, 6852 245, time_zones, 10846 1018, administrative_parent, 9240 1018, source, 6852 1018, time_zones, 10846 13435, location, 5505 13435, nationality, 847 2368, source, 6852 2368, time_zones, 10846 14161, source, 6852 14161, time_zones, 10846 11913, source, 6852 11913, time_zones, 10846 13945, source, 6852 13945, time_zones, 10846 847, teams, 8882 8882, football_roster_position, 5715 8882, position, 5715 4877, source, 6852 4877, time_zones, 10846 7300, source, 6852 7300, time_zones, 10846 12731, source, 6852 12731, time_zones, 10846 780, source, 6852 780, time_zones, 10846 11743, source, 6852 11743, time_zones, 10846 2454, place, 2454 2454, source, 6852 2454, time_zones, 10846 6481, administrative_parent, 5505 6481, featured_film_locations, 5505 6481, source, 6852 6481, time_zones, 10846 9240, adjoins, 5064 9240, adjoins, 3448 9240, adjoins, 6558 9240, contains, 245 9240, contains, 1018 9240, contains, 2454 9240, contains, 10043 9240, time_zones, 10846 9391, source, 6852 9391, time_zones, 10846 2922, source, 6852 2922, time_zones, 10846 3437, source, 6852 3437, time_zones, 10846 13002, source, 6852 13002, time_zones, 10846 5127, adjoins, 5505 5127, time_zones, 10846 9780, source, 6852 9780, time_zones, 10846 3448, adjoins, 9240 3448, contains, 5505 3448, time_zones, 10846 5505, adjoins, 5127 5505, adjoins, 7193 5505, administrative_parent, 3448 5505, contains, 11324 5505, contains, 6481 5505, contains, 2406 5505, contains, 7252 5505, contains, 6092 5505, county, 7252 5505, place, 5505 5505, source, 6852 5505, state, 3448 5505, time_zones, 10846 9791, citytown, 5505 9791, time_zones, 10846 3503, source, 6852 3503, time_zones, 10846 6892, source, 6852 6892, time_zones, 10846 3885, source, 6852 3885, time_zones, 10846 910, source, 6852 910, time_zones, 10846 2165, source, 6852 2165, time_zones, 10846 9528, source, 6852 9528, time_zones, 10846 2942, source, 6852 2942, time_zones, 10846 5970, source, 6852 5970, time_zones, 10846 12916, source, 6852 12916, time_zones, 10846 12248, football_roster_position, 5715 12248, position, 5715 7193, adjoins, 5505 7193, time_zones, 10846 9651, source, 6852 9651, time_zones, 10846 5486, source, 6852 5486, time_zones, 10846 2406, source, 6852 2406, time_zones, 10846 8452, source, 6852 8452, time_zones, 10846 4619, source, 6852 4619, time_zones, 10846 10067, source, 6852 10067, time_zones, 10846 12521, source, 6852 12521, time_zones, 10846 13281, source, 6852 13281, time_zones, 10846 3468, source, 6852 3468, time_zones, 10846 7252, source, 6852 7252, time_zones, 10846 4187, source, 6852 4187, time_zones, 10846 10043, source, 6852 10043, time_zones, 10846 1808, source, 6852 1808, time_zones, 10846 8431, source, 6852 8431, time_zones, 10846 6092, source, 6852 6092, time_zones, 10846 8183, source, 6852 8183, time_zones, 10846 8376, source, 6852 8376, time_zones, 10846 3205, source, 6852 3205, time_zones, 10846 3702, source, 6852 3702, time_zones, 10846 6558, adjoins, 9240 6558, time_zones, 10846 6010, source, 6852 6010, time_zones, 10846 6961, source, 6852 6961, time_zones, 10846 14116, source, 6852 14116, time_zones, 10846 10737, source, 6852 10737, time_zones, 10846 128, source, 6852 128, time_zones, 10846 12682, source, 6852 12682, time_zones, 10846 Question: How are Gene_Simmons, Malden, and PAS_Giannina_F.C. related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Gene_Simmons", "Malden", "PAS_Giannina_F.C." ], "valid_edges": [ [ "Albany", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Albany", "time_zones", "Eastern_Time_Zone" ], [ "Albany_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Albany_County", "time_zones", "Eastern_Time_Zone" ], [ "Allegany_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Allegany_County", "time_zones", "Eastern_Time_Zone" ], [ "Auburn", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Auburn", "time_zones", "Eastern_Time_Zone" ], [ "Binghamton", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Binghamton", "time_zones", "Eastern_Time_Zone" ], [ "Bronxville", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Bronxville", "time_zones", "Eastern_Time_Zone" ], [ "Broome_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Broome_County", "time_zones", "Eastern_Time_Zone" ], [ "Buffalo", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Buffalo", "time_zones", "Eastern_Time_Zone" ], [ "Cattaraugus_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Cattaraugus_County", "time_zones", "Eastern_Time_Zone" ], [ "Cayuga_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Cayuga_County", "time_zones", "Eastern_Time_Zone" ], [ "Chautauqua_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Chautauqua_County", "time_zones", "Eastern_Time_Zone" ], [ "Columbia", "citytown", "New_York_City" ], [ "Columbia", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Columbia", "time_zones", "Eastern_Time_Zone" ], [ "Columbia_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Columbia_County", "time_zones", "Eastern_Time_Zone" ], [ "Connecticut", "adjoins", "Massachusetts" ], [ "Connecticut", "time_zones", "Eastern_Time_Zone" ], [ "Contiguous_United_States", "contains", "Massachusetts" ], [ "Contiguous_United_States", "time_zones", "Eastern_Time_Zone" ], [ "Defender", "team", "Israel_national_football_team" ], [ "Defender", "team", "PAS_Giannina_F.C." ], [ "Delaware_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Delaware_County", "time_zones", "Eastern_Time_Zone" ], [ "Dutchess_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Dutchess_County", "time_zones", "Eastern_Time_Zone" ], [ "Empire_State_Building", "time_zones", "Eastern_Time_Zone" ], [ "Erie_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Erie_County", "time_zones", "Eastern_Time_Zone" ], [ "Essex_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Essex_County", "time_zones", "Eastern_Time_Zone" ], [ "Franklin_County", "administrative_parent", "Massachusetts" ], [ "Franklin_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Franklin_County", "time_zones", "Eastern_Time_Zone" ], [ "Gene_Simmons", "location", "New_York_City" ], [ "Gene_Simmons", "nationality", "Israel" ], [ "Glen_Cove", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Glen_Cove", "time_zones", "Eastern_Time_Zone" ], [ "Greene_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Greene_County", "time_zones", "Eastern_Time_Zone" ], [ "Herkimer_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Herkimer_County", "time_zones", "Eastern_Time_Zone" ], [ "Huntington", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Huntington", "time_zones", "Eastern_Time_Zone" ], [ "Israel", "teams", "Israel_national_football_team" ], [ "Israel_national_football_team", "football_roster_position", "Defender" ], [ "Israel_national_football_team", "position", "Defender" ], [ "Ithaca", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Ithaca", "time_zones", "Eastern_Time_Zone" ], [ "Jamestown", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Jamestown", "time_zones", "Eastern_Time_Zone" ], [ "Jefferson_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Jefferson_County", "time_zones", "Eastern_Time_Zone" ], [ "Livingston_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Livingston_County", "time_zones", "Eastern_Time_Zone" ], [ "Madison_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Madison_County", "time_zones", "Eastern_Time_Zone" ], [ "Malden", "place", "Malden" ], [ "Malden", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Malden", "time_zones", "Eastern_Time_Zone" ], [ "Manhattan", "administrative_parent", "New_York_City" ], [ "Manhattan", "featured_film_locations", "New_York_City" ], [ "Manhattan", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Manhattan", "time_zones", "Eastern_Time_Zone" ], [ "Massachusetts", "adjoins", "Connecticut" ], [ "Massachusetts", "adjoins", "New_York" ], [ "Massachusetts", "adjoins", "Vermont" ], [ "Massachusetts", "contains", "Essex_County" ], [ "Massachusetts", "contains", "Franklin_County" ], [ "Massachusetts", "contains", "Malden" ], [ "Massachusetts", "contains", "Suffolk_County" ], [ "Massachusetts", "time_zones", "Eastern_Time_Zone" ], [ "Monroe_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Monroe_County", "time_zones", "Eastern_Time_Zone" ], [ "Montgomery_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Montgomery_County", "time_zones", "Eastern_Time_Zone" ], [ "Mount_Vernon", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Mount_Vernon", "time_zones", "Eastern_Time_Zone" ], [ "Nassau_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Nassau_County", "time_zones", "Eastern_Time_Zone" ], [ "New_Jersey", "adjoins", "New_York_City" ], [ "New_Jersey", "time_zones", "Eastern_Time_Zone" ], [ "New_Rochelle", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "New_Rochelle", "time_zones", "Eastern_Time_Zone" ], [ "New_York", "adjoins", "Massachusetts" ], [ "New_York", "contains", "New_York_City" ], [ "New_York", "time_zones", "Eastern_Time_Zone" ], [ "New_York_City", "adjoins", "New_Jersey" ], [ "New_York_City", "adjoins", "Pennsylvania" ], [ "New_York_City", "administrative_parent", "New_York" ], [ "New_York_City", "contains", "Empire_State_Building" ], [ "New_York_City", "contains", "Manhattan" ], [ "New_York_City", "contains", "Queens" ], [ "New_York_City", "contains", "Staten_Island" ], [ "New_York_City", "contains", "The_Bronx" ], [ "New_York_City", "county", "Staten_Island" ], [ "New_York_City", "place", "New_York_City" ], [ "New_York_City", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "New_York_City", "state", "New_York" ], [ "New_York_City", "time_zones", "Eastern_Time_Zone" ], [ "New_York_University_School_of_Law", "citytown", "New_York_City" ], [ "New_York_University_School_of_Law", "time_zones", "Eastern_Time_Zone" ], [ "Niagara_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Niagara_County", "time_zones", "Eastern_Time_Zone" ], [ "Niagara_Falls", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Niagara_Falls", "time_zones", "Eastern_Time_Zone" ], [ "Oneida_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Oneida_County", "time_zones", "Eastern_Time_Zone" ], [ "Onondaga_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Onondaga_County", "time_zones", "Eastern_Time_Zone" ], [ "Ontario_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Ontario_County", "time_zones", "Eastern_Time_Zone" ], [ "Orange_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Orange_County", "time_zones", "Eastern_Time_Zone" ], [ "Oswego", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Oswego", "time_zones", "Eastern_Time_Zone" ], [ "Oswego_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Oswego_County", "time_zones", "Eastern_Time_Zone" ], [ "Otsego_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Otsego_County", "time_zones", "Eastern_Time_Zone" ], [ "PAS_Giannina_F.C.", "football_roster_position", "Defender" ], [ "PAS_Giannina_F.C.", "position", "Defender" ], [ "Pennsylvania", "adjoins", "New_York_City" ], [ "Pennsylvania", "time_zones", "Eastern_Time_Zone" ], [ "Poughkeepsie", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Poughkeepsie", "time_zones", "Eastern_Time_Zone" ], [ "Putnam_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Putnam_County", "time_zones", "Eastern_Time_Zone" ], [ "Queens", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Queens", "time_zones", "Eastern_Time_Zone" ], [ "Rensselaer_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Rensselaer_County", "time_zones", "Eastern_Time_Zone" ], [ "Rochester", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Rochester", "time_zones", "Eastern_Time_Zone" ], [ "Rockland_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Rockland_County", "time_zones", "Eastern_Time_Zone" ], [ "Saratoga_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Saratoga_County", "time_zones", "Eastern_Time_Zone" ], [ "Schenectady", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Schenectady", "time_zones", "Eastern_Time_Zone" ], [ "St._Lawrence_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "St._Lawrence_County", "time_zones", "Eastern_Time_Zone" ], [ "Staten_Island", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Staten_Island", "time_zones", "Eastern_Time_Zone" ], [ "Steuben_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Steuben_County", "time_zones", "Eastern_Time_Zone" ], [ "Suffolk_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Suffolk_County", "time_zones", "Eastern_Time_Zone" ], [ "Sullivan_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Sullivan_County", "time_zones", "Eastern_Time_Zone" ], [ "Syracuse", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Syracuse", "time_zones", "Eastern_Time_Zone" ], [ "The_Bronx", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "The_Bronx", "time_zones", "Eastern_Time_Zone" ], [ "Tompkins_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Tompkins_County", "time_zones", "Eastern_Time_Zone" ], [ "Troy", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Troy", "time_zones", "Eastern_Time_Zone" ], [ "Ulster_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Ulster_County", "time_zones", "Eastern_Time_Zone" ], [ "Utica", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Utica", "time_zones", "Eastern_Time_Zone" ], [ "Vermont", "adjoins", "Massachusetts" ], [ "Vermont", "time_zones", "Eastern_Time_Zone" ], [ "Warren_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Warren_County", "time_zones", "Eastern_Time_Zone" ], [ "Washington,_D.C.", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Washington,_D.C.", "time_zones", "Eastern_Time_Zone" ], [ "Washington_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Washington_County", "time_zones", "Eastern_Time_Zone" ], [ "Westchester_County", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Westchester_County", "time_zones", "Eastern_Time_Zone" ], [ "White_Plains", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "White_Plains", "time_zones", "Eastern_Time_Zone" ], [ "Yonkers", "source", "United_States_Department_of_Housing_and_Urban_Development" ], [ "Yonkers", "time_zones", "Eastern_Time_Zone" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 10327, 2006_Winter_Olympics 3108, 2010_Winter_Olympics 3644, Algeria 4389, Austria 8083, Central_European_Time_Zone-US 9263, Italian_Language 1821, Italy 3511, Lorenzo_Ferrero 13921, Public_university 10589, Slovenia 5075, Switzerland 7691, Trentino 1872, University_of_Geneva 5208, University_of_Louisville 4096, University_of_Pisa 11082, University_of_Turin 13056, University_of_Vienna src, edge_attr, dst 3108, participating_countries, 4389 3108, participating_countries, 5075 3644, exported_to, 1821 3644, olympics, 3108 3644, time_zones, 8083 4389, adjoins, 1821 4389, adjoins, 10589 4389, contains, 13056 4389, olympics, 10327 4389, olympics, 3108 4389, time_zones, 8083 9263, countries_spoken_in, 1821 9263, countries_spoken_in, 10589 9263, countries_spoken_in, 5075 1821, adjoins, 10589 1821, adjoins, 5075 1821, contains, 7691 1821, contains, 4096 1821, contains, 11082 1821, exported_to, 3644 1821, official_language, 9263 1821, olympics, 10327 1821, olympics, 3108 1821, second_level_divisions, 7691 1821, time_zones, 8083 3511, artist_origin, 4389 3511, nationality, 1821 10589, adjoins, 4389 10589, adjoins, 1821 10589, olympics, 10327 10589, olympics, 3108 10589, time_zones, 8083 5075, adjoins, 4389 5075, adjoins, 1821 5075, contains, 1872 5075, official_language, 9263 5075, olympics, 10327 5075, olympics, 3108 5075, time_zones, 8083 7691, country, 1821 1872, school_type, 13921 5208, educational_institution, 5208 5208, school_type, 13921 4096, school_type, 13921 11082, school_type, 13921 13056, school_type, 13921 Question: In what context are 2010_Winter_Olympics, Trentino, and University_of_Louisville connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "2010_Winter_Olympics", "Trentino", "University_of_Louisville" ], "valid_edges": [ [ "2010_Winter_Olympics", "participating_countries", "Austria" ], [ "2010_Winter_Olympics", "participating_countries", "Switzerland" ], [ "Algeria", "exported_to", "Italy" ], [ "Algeria", "olympics", "2010_Winter_Olympics" ], [ "Algeria", "time_zones", "Central_European_Time_Zone-US" ], [ "Austria", "adjoins", "Italy" ], [ "Austria", "adjoins", "Slovenia" ], [ "Austria", "contains", "University_of_Vienna" ], [ "Austria", "olympics", "2006_Winter_Olympics" ], [ "Austria", "olympics", "2010_Winter_Olympics" ], [ "Austria", "time_zones", "Central_European_Time_Zone-US" ], [ "Italian_Language", "countries_spoken_in", "Italy" ], [ "Italian_Language", "countries_spoken_in", "Slovenia" ], [ "Italian_Language", "countries_spoken_in", "Switzerland" ], [ "Italy", "adjoins", "Slovenia" ], [ "Italy", "adjoins", "Switzerland" ], [ "Italy", "contains", "Trentino" ], [ "Italy", "contains", "University_of_Pisa" ], [ "Italy", "contains", "University_of_Turin" ], [ "Italy", "exported_to", "Algeria" ], [ "Italy", "official_language", "Italian_Language" ], [ "Italy", "olympics", "2006_Winter_Olympics" ], [ "Italy", "olympics", "2010_Winter_Olympics" ], [ "Italy", "second_level_divisions", "Trentino" ], [ "Italy", "time_zones", "Central_European_Time_Zone-US" ], [ "Lorenzo_Ferrero", "artist_origin", "Austria" ], [ "Lorenzo_Ferrero", "nationality", "Italy" ], [ "Slovenia", "adjoins", "Austria" ], [ "Slovenia", "adjoins", "Italy" ], [ "Slovenia", "olympics", "2006_Winter_Olympics" ], [ "Slovenia", "olympics", "2010_Winter_Olympics" ], [ "Slovenia", "time_zones", "Central_European_Time_Zone-US" ], [ "Switzerland", "adjoins", "Austria" ], [ "Switzerland", "adjoins", "Italy" ], [ "Switzerland", "contains", "University_of_Geneva" ], [ "Switzerland", "official_language", "Italian_Language" ], [ "Switzerland", "olympics", "2006_Winter_Olympics" ], [ "Switzerland", "olympics", "2010_Winter_Olympics" ], [ "Switzerland", "time_zones", "Central_European_Time_Zone-US" ], [ "Trentino", "country", "Italy" ], [ "University_of_Geneva", "school_type", "Public_university" ], [ "University_of_Louisville", "educational_institution", "University_of_Louisville" ], [ "University_of_Louisville", "school_type", "Public_university" ], [ "University_of_Pisa", "school_type", "Public_university" ], [ "University_of_Turin", "school_type", "Public_university" ], [ "University_of_Vienna", "school_type", "Public_university" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 11546, Action 8926, Ambient_music 12497, Backstairs_at_the_White_House 9246, Brideshead_Revisited-GB 11409, British_people 9426, Claire_Bloom 504, Dexter 4307, Gorillaz 508, Into_the_West 13935, Keith_Carradine 4205, Krautrock 10361, Michael_Gough 13985, Mighty_Aphrodite 3453, Miniseries 7690, Mos_Def 13817, Peter_Weller 12809, Rolfe_Kent 2736, Shackleton 936, Space_rock 1982, The_Mars_Volta src, edge_attr, dst 8926, artists, 4307 8926, artists, 1982 8926, parent_genre, 4205 8926, parent_genre, 936 12497, actor, 9426 9246, actor, 10361 9246, genre, 3453 11409, people, 10361 11409, people, 12809 9426, acted_in, 13985 9426, nominated_for, 9246 504, actor, 13935 504, actor, 7690 504, genre, 11546 4307, award_nominee, 7690 508, actor, 13935 508, genre, 3453 4205, artists, 1982 3453, titles, 12497 3453, titles, 9246 7690, award_nominee, 4307 13817, acted_in, 13985 13817, nominated_for, 504 12809, nominated_for, 504 2736, genre, 11546 2736, genre, 3453 936, artists, 1982 Question: For what reason are Brideshead_Revisited-GB, Dexter, and Space_rock associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Brideshead_Revisited-GB", "Dexter", "Space_rock" ], "valid_edges": [ [ "Ambient_music", "artists", "Gorillaz" ], [ "Ambient_music", "artists", "The_Mars_Volta" ], [ "Ambient_music", "parent_genre", "Krautrock" ], [ "Ambient_music", "parent_genre", "Space_rock" ], [ "Backstairs_at_the_White_House", "actor", "Claire_Bloom" ], [ "Brideshead_Revisited-GB", "actor", "Michael_Gough" ], [ "Brideshead_Revisited-GB", "genre", "Miniseries" ], [ "British_people", "people", "Michael_Gough" ], [ "British_people", "people", "Rolfe_Kent" ], [ "Claire_Bloom", "acted_in", "Mighty_Aphrodite" ], [ "Claire_Bloom", "nominated_for", "Brideshead_Revisited-GB" ], [ "Dexter", "actor", "Keith_Carradine" ], [ "Dexter", "actor", "Mos_Def" ], [ "Dexter", "genre", "Action" ], [ "Gorillaz", "award_nominee", "Mos_Def" ], [ "Into_the_West", "actor", "Keith_Carradine" ], [ "Into_the_West", "genre", "Miniseries" ], [ "Krautrock", "artists", "The_Mars_Volta" ], [ "Miniseries", "titles", "Backstairs_at_the_White_House" ], [ "Miniseries", "titles", "Brideshead_Revisited-GB" ], [ "Mos_Def", "award_nominee", "Gorillaz" ], [ "Peter_Weller", "acted_in", "Mighty_Aphrodite" ], [ "Peter_Weller", "nominated_for", "Dexter" ], [ "Rolfe_Kent", "nominated_for", "Dexter" ], [ "Shackleton", "genre", "Action" ], [ "Shackleton", "genre", "Miniseries" ], [ "Space_rock", "artists", "The_Mars_Volta" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 564, 20th_Century_Fox 7226, A_Better_Tomorrow 7377, Academy_of_Canadian_Cinema_and_Television_Award_for_Best_Achievement_in_Cinematography 10611, American_Beauty 9616, Anchor_Bay_Entertainment 10565, Australia 11678, Canada 452, Chrysler_Group_LLC 11566, Columbia_University 4507, DVD 6360, Dead_Ringers 6294, Drama 6595, DreamWorks 3496, English_Language 7388, Film 1001, Ford_Motor_Company 14054, General_Motors 9868, Harvard_University 13587, Howard_Shore 10305, Hunter_College 2759, Lasker-DeBakey_Clinical_Medical_Research_Award 4349, Michigan_State_University 11171, Morgan_Creek_Productions 10217, New_York_University 1938, Official_Website 13718, Paramount_Pictures 11355, Paramount_Vantage 7335, Razzie_Award_for_Worst_Picture 3621, San_Diego_State_University 6881, The_Pirate_Movie 2084, Touchstone_Pictures 7891, Universal_Studios 2618, University_of_British_Columbia 1640, University_of_California,_Los_Angeles 7024, University_of_California,_Santa_Barbara 1480, University_of_Michigan 6128, University_of_Southern_California 12606, Victoria_University_of_Wellington 4933, Warner_Bros._Entertainment 9619, Warner_Home_Video 112, Wesleyan_University src, edge_attr, dst 564, award_nominee, 6595 564, film, 6360 564, service_language, 3496 7226, film_release_distribution_medium, 4507 7226, genre, 6294 7226, language, 3496 7377, nominated_for, 6360 10611, film_release_distribution_medium, 4507 10611, genre, 6294 10611, language, 3496 10611, production_companies, 6595 10611, webpage_category, 1938 9616, film, 6360 9616, webpage_category, 1938 10565, genre, 6294 10565, language, 3496 10565, webpage_category, 1938 11678, official_language, 3496 452, service_language, 3496 452, webpage_category, 1938 11566, major_field_of_study, 3496 11566, webpage_category, 1938 6360, award_honor_award, 7377 6360, award_winner, 13587 6360, film_country, 11678 6360, film_music, 13587 6360, film_release_distribution_medium, 4507 6360, genre, 6294 6360, language, 3496 6360, production_companies, 11171 6294, major_field_of_study, 3496 6294, major_field_of_study, 7388 6294, split_to, 6294 6294, titles, 10611 6595, award, 7335 6595, award_nominee, 564 6595, award_nominee, 13718 6595, award_nominee, 11355 6595, award_nominee, 2084 6595, award_nominee, 7891 6595, award_winner, 13718 6595, award_winner, 7891 6595, film, 10611 6595, industry, 7388 6595, nominated_for, 10611 6595, webpage_category, 1938 3496, countries_spoken_in, 10565 3496, major_field_of_study, 6294 7388, major_field_of_study, 6294 1001, service_language, 3496 1001, webpage_category, 1938 14054, service_language, 3496 14054, webpage_category, 1938 9868, major_field_of_study, 3496 9868, service_language, 3496 9868, webpage_category, 1938 13587, nominated_for, 6360 13587, webpage_category, 1938 10305, major_field_of_study, 6294 10305, webpage_category, 1938 2759, webpage_category, 1938 4349, major_field_of_study, 3496 4349, webpage_category, 1938 11171, webpage_category, 1938 10217, major_field_of_study, 6294 10217, service_language, 3496 10217, webpage_category, 1938 13718, award_nominee, 6595 13718, award_winner, 6595 13718, webpage_category, 1938 11355, award_nominee, 6595 11355, webpage_category, 1938 7335, award_winner, 6595 7335, webpage_category, 1938 3621, major_field_of_study, 6294 3621, webpage_category, 1938 6881, film_release_distribution_medium, 4507 6881, genre, 6294 6881, language, 3496 2084, award_nominee, 6595 2084, webpage_category, 1938 7891, award_winner, 6595 7891, webpage_category, 1938 2618, major_field_of_study, 3496 2618, webpage_category, 1938 1640, major_field_of_study, 6294 1640, webpage_category, 1938 7024, major_field_of_study, 3496 7024, webpage_category, 1938 1480, major_field_of_study, 3496 1480, webpage_category, 1938 6128, major_field_of_study, 6294 6128, major_field_of_study, 3496 6128, webpage_category, 1938 12606, major_field_of_study, 6294 12606, webpage_category, 1938 4933, film, 6360 4933, webpage_category, 1938 9619, film, 6360 9619, webpage_category, 1938 112, major_field_of_study, 3496 112, webpage_category, 1938 Question: In what context are Academy_of_Canadian_Cinema_and_Television_Award_for_Best_Achievement_in_Cinematography, American_Beauty, and Lasker-DeBakey_Clinical_Medical_Research_Award connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Academy_of_Canadian_Cinema_and_Television_Award_for_Best_Achievement_in_Cinematography", "American_Beauty", "Lasker-DeBakey_Clinical_Medical_Research_Award" ], "valid_edges": [ [ "20th_Century_Fox", "award_nominee", "DreamWorks" ], [ "20th_Century_Fox", "film", "Dead_Ringers" ], [ "20th_Century_Fox", "service_language", "English_Language" ], [ "A_Better_Tomorrow", "film_release_distribution_medium", "DVD" ], [ "A_Better_Tomorrow", "genre", "Drama" ], [ "A_Better_Tomorrow", "language", "English_Language" ], [ "Academy_of_Canadian_Cinema_and_Television_Award_for_Best_Achievement_in_Cinematography", "nominated_for", "Dead_Ringers" ], [ "American_Beauty", "film_release_distribution_medium", "DVD" ], [ "American_Beauty", "genre", "Drama" ], [ "American_Beauty", "language", "English_Language" ], [ "American_Beauty", "production_companies", "DreamWorks" ], [ "American_Beauty", "webpage_category", "Official_Website" ], [ "Anchor_Bay_Entertainment", "film", "Dead_Ringers" ], [ "Anchor_Bay_Entertainment", "webpage_category", "Official_Website" ], [ "Australia", "genre", "Drama" ], [ "Australia", "language", "English_Language" ], [ "Australia", "webpage_category", "Official_Website" ], [ "Canada", "official_language", "English_Language" ], [ "Chrysler_Group_LLC", "service_language", "English_Language" ], [ "Chrysler_Group_LLC", "webpage_category", "Official_Website" ], [ "Columbia_University", "major_field_of_study", "English_Language" ], [ "Columbia_University", "webpage_category", "Official_Website" ], [ "Dead_Ringers", "award_honor_award", "Academy_of_Canadian_Cinema_and_Television_Award_for_Best_Achievement_in_Cinematography" ], [ "Dead_Ringers", "award_winner", "Howard_Shore" ], [ "Dead_Ringers", "film_country", "Canada" ], [ "Dead_Ringers", "film_music", "Howard_Shore" ], [ "Dead_Ringers", "film_release_distribution_medium", "DVD" ], [ "Dead_Ringers", "genre", "Drama" ], [ "Dead_Ringers", "language", "English_Language" ], [ "Dead_Ringers", "production_companies", "Morgan_Creek_Productions" ], [ "Drama", "major_field_of_study", "English_Language" ], [ "Drama", "major_field_of_study", "Film" ], [ "Drama", "split_to", "Drama" ], [ "Drama", "titles", "American_Beauty" ], [ "DreamWorks", "award", "Razzie_Award_for_Worst_Picture" ], [ "DreamWorks", "award_nominee", "20th_Century_Fox" ], [ "DreamWorks", "award_nominee", "Paramount_Pictures" ], [ "DreamWorks", "award_nominee", "Paramount_Vantage" ], [ "DreamWorks", "award_nominee", "Touchstone_Pictures" ], [ "DreamWorks", "award_nominee", "Universal_Studios" ], [ "DreamWorks", "award_winner", "Paramount_Pictures" ], [ "DreamWorks", "award_winner", "Universal_Studios" ], [ "DreamWorks", "film", "American_Beauty" ], [ "DreamWorks", "industry", "Film" ], [ "DreamWorks", "nominated_for", "American_Beauty" ], [ "DreamWorks", "webpage_category", "Official_Website" ], [ "English_Language", "countries_spoken_in", "Australia" ], [ "English_Language", "major_field_of_study", "Drama" ], [ "Film", "major_field_of_study", "Drama" ], [ "Ford_Motor_Company", "service_language", "English_Language" ], [ "Ford_Motor_Company", "webpage_category", "Official_Website" ], [ "General_Motors", "service_language", "English_Language" ], [ "General_Motors", "webpage_category", "Official_Website" ], [ "Harvard_University", "major_field_of_study", "English_Language" ], [ "Harvard_University", "service_language", "English_Language" ], [ "Harvard_University", "webpage_category", "Official_Website" ], [ "Howard_Shore", "nominated_for", "Dead_Ringers" ], [ "Howard_Shore", "webpage_category", "Official_Website" ], [ "Hunter_College", "major_field_of_study", "Drama" ], [ "Hunter_College", "webpage_category", "Official_Website" ], [ "Lasker-DeBakey_Clinical_Medical_Research_Award", "webpage_category", "Official_Website" ], [ "Michigan_State_University", "major_field_of_study", "English_Language" ], [ "Michigan_State_University", "webpage_category", "Official_Website" ], [ "Morgan_Creek_Productions", "webpage_category", "Official_Website" ], [ "New_York_University", "major_field_of_study", "Drama" ], [ "New_York_University", "service_language", "English_Language" ], [ "New_York_University", "webpage_category", "Official_Website" ], [ "Paramount_Pictures", "award_nominee", "DreamWorks" ], [ "Paramount_Pictures", "award_winner", "DreamWorks" ], [ "Paramount_Pictures", "webpage_category", "Official_Website" ], [ "Paramount_Vantage", "award_nominee", "DreamWorks" ], [ "Paramount_Vantage", "webpage_category", "Official_Website" ], [ "Razzie_Award_for_Worst_Picture", "award_winner", "DreamWorks" ], [ "Razzie_Award_for_Worst_Picture", "webpage_category", "Official_Website" ], [ "San_Diego_State_University", "major_field_of_study", "Drama" ], [ "San_Diego_State_University", "webpage_category", "Official_Website" ], [ "The_Pirate_Movie", "film_release_distribution_medium", "DVD" ], [ "The_Pirate_Movie", "genre", "Drama" ], [ "The_Pirate_Movie", "language", "English_Language" ], [ "Touchstone_Pictures", "award_nominee", "DreamWorks" ], [ "Touchstone_Pictures", "webpage_category", "Official_Website" ], [ "Universal_Studios", "award_winner", "DreamWorks" ], [ "Universal_Studios", "webpage_category", "Official_Website" ], [ "University_of_British_Columbia", "major_field_of_study", "English_Language" ], [ "University_of_British_Columbia", "webpage_category", "Official_Website" ], [ "University_of_California,_Los_Angeles", "major_field_of_study", "Drama" ], [ "University_of_California,_Los_Angeles", "webpage_category", "Official_Website" ], [ "University_of_California,_Santa_Barbara", "major_field_of_study", "English_Language" ], [ "University_of_California,_Santa_Barbara", "webpage_category", "Official_Website" ], [ "University_of_Michigan", "major_field_of_study", "English_Language" ], [ "University_of_Michigan", "webpage_category", "Official_Website" ], [ "University_of_Southern_California", "major_field_of_study", "Drama" ], [ "University_of_Southern_California", "major_field_of_study", "English_Language" ], [ "University_of_Southern_California", "webpage_category", "Official_Website" ], [ "Victoria_University_of_Wellington", "major_field_of_study", "Drama" ], [ "Victoria_University_of_Wellington", "webpage_category", "Official_Website" ], [ "Warner_Bros._Entertainment", "film", "Dead_Ringers" ], [ "Warner_Bros._Entertainment", "webpage_category", "Official_Website" ], [ "Warner_Home_Video", "film", "Dead_Ringers" ], [ "Warner_Home_Video", "webpage_category", "Official_Website" ], [ "Wesleyan_University", "major_field_of_study", "English_Language" ], [ "Wesleyan_University", "webpage_category", "Official_Website" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 14158, 'N_Sync 4452, African,_Caribbean_&_Pacific_Group_of_States 3427, Bahamas 8211, Cameroon 12588, Contestant 5985, Elizabeth_Taylor 3772, Grammy_Award_for_Best_Rap/Sung_Collaboration 342, Grammy_Award_for_Best_Rap_Performance_by_a_Duo_or_Group 9661, Kelly_Clarkson 2652, Lil'_Kim 617, MTV_Video_Music_Award_for_Best_Choreography 9358, MTV_Video_Music_Award_for_Best_Electronic_Dance_Music_Video 2095, MTV_Video_Music_Award_for_Best_Female_Video 7874, MTV_Video_Music_Award_for_Best_Pop_Video 6276, MTV_Video_Music_Award_for_Best_Video_from_a_Film 141, Michael_Jackson:_30th_Anniversary_Celebration 6897, Missy_Elliott 11354, Nelly_Furtado 5202, Niger 2322, Nigeria 5958, Sony_BMG_Music_Entertainment 3771, Stanley_Donen 244, Timbaland src, edge_attr, dst 14158, award, 617 14158, award, 9358 14158, award, 7874 3427, organization, 4452 3427, vacationer, 9661 8211, organization, 4452 12588, person, 9661 12588, person, 2652 5985, participant, 3771 9661, award, 2095 9661, award, 7874 2652, award, 3772 2652, award, 342 2652, award, 617 2652, award, 9358 2652, award, 7874 2652, award, 6276 2652, award_nominee, 6897 2652, award_winner, 6897 2652, participant, 6897 2652, program, 141 9358, award_winner, 14158 9358, award_winner, 6897 2095, award_winner, 9661 7874, award_winner, 14158 7874, award_winner, 9661 6276, award_winner, 2652 6276, award_winner, 6897 141, actor, 5985 141, actor, 6897 141, actor, 11354 6897, award, 3772 6897, award, 342 6897, award, 617 6897, award, 2095 6897, award, 7874 6897, award, 6276 6897, award_nominee, 2652 11354, award, 9358 11354, award, 2095 11354, award, 7874 11354, award_nominee, 244 5202, adjoins, 2322 5202, organization, 4452 2322, adjoins, 8211 2322, adjoins, 5202 2322, organization, 4452 5958, artist, 14158 5958, artist, 9661 3771, participant, 5985 244, award_nominee, 6897 Question: In what context are MTV_Video_Music_Award_for_Best_Pop_Video, Niger, and Stanley_Donen connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "MTV_Video_Music_Award_for_Best_Pop_Video", "Niger", "Stanley_Donen" ], "valid_edges": [ [ "'N_Sync", "award", "MTV_Video_Music_Award_for_Best_Choreography" ], [ "'N_Sync", "award", "MTV_Video_Music_Award_for_Best_Electronic_Dance_Music_Video" ], [ "'N_Sync", "award", "MTV_Video_Music_Award_for_Best_Pop_Video" ], [ "Bahamas", "organization", "African,_Caribbean_&_Pacific_Group_of_States" ], [ "Bahamas", "vacationer", "Kelly_Clarkson" ], [ "Cameroon", "organization", "African,_Caribbean_&_Pacific_Group_of_States" ], [ "Contestant", "person", "Kelly_Clarkson" ], [ "Contestant", "person", "Lil'_Kim" ], [ "Elizabeth_Taylor", "participant", "Stanley_Donen" ], [ "Kelly_Clarkson", "award", "MTV_Video_Music_Award_for_Best_Female_Video" ], [ "Kelly_Clarkson", "award", "MTV_Video_Music_Award_for_Best_Pop_Video" ], [ "Lil'_Kim", "award", "Grammy_Award_for_Best_Rap/Sung_Collaboration" ], [ "Lil'_Kim", "award", "Grammy_Award_for_Best_Rap_Performance_by_a_Duo_or_Group" ], [ "Lil'_Kim", "award", "MTV_Video_Music_Award_for_Best_Choreography" ], [ "Lil'_Kim", "award", "MTV_Video_Music_Award_for_Best_Electronic_Dance_Music_Video" ], [ "Lil'_Kim", "award", "MTV_Video_Music_Award_for_Best_Pop_Video" ], [ "Lil'_Kim", "award", "MTV_Video_Music_Award_for_Best_Video_from_a_Film" ], [ "Lil'_Kim", "award_nominee", "Missy_Elliott" ], [ "Lil'_Kim", "award_winner", "Missy_Elliott" ], [ "Lil'_Kim", "participant", "Missy_Elliott" ], [ "Lil'_Kim", "program", "Michael_Jackson:_30th_Anniversary_Celebration" ], [ "MTV_Video_Music_Award_for_Best_Electronic_Dance_Music_Video", "award_winner", "'N_Sync" ], [ "MTV_Video_Music_Award_for_Best_Electronic_Dance_Music_Video", "award_winner", "Missy_Elliott" ], [ "MTV_Video_Music_Award_for_Best_Female_Video", "award_winner", "Kelly_Clarkson" ], [ "MTV_Video_Music_Award_for_Best_Pop_Video", "award_winner", "'N_Sync" ], [ "MTV_Video_Music_Award_for_Best_Pop_Video", "award_winner", "Kelly_Clarkson" ], [ "MTV_Video_Music_Award_for_Best_Video_from_a_Film", "award_winner", "Lil'_Kim" ], [ "MTV_Video_Music_Award_for_Best_Video_from_a_Film", "award_winner", "Missy_Elliott" ], [ "Michael_Jackson:_30th_Anniversary_Celebration", "actor", "Elizabeth_Taylor" ], [ "Michael_Jackson:_30th_Anniversary_Celebration", "actor", "Missy_Elliott" ], [ "Michael_Jackson:_30th_Anniversary_Celebration", "actor", "Nelly_Furtado" ], [ "Missy_Elliott", "award", "Grammy_Award_for_Best_Rap/Sung_Collaboration" ], [ "Missy_Elliott", "award", "Grammy_Award_for_Best_Rap_Performance_by_a_Duo_or_Group" ], [ "Missy_Elliott", "award", "MTV_Video_Music_Award_for_Best_Choreography" ], [ "Missy_Elliott", "award", "MTV_Video_Music_Award_for_Best_Female_Video" ], [ "Missy_Elliott", "award", "MTV_Video_Music_Award_for_Best_Pop_Video" ], [ "Missy_Elliott", "award", "MTV_Video_Music_Award_for_Best_Video_from_a_Film" ], [ "Missy_Elliott", "award_nominee", "Lil'_Kim" ], [ "Nelly_Furtado", "award", "MTV_Video_Music_Award_for_Best_Electronic_Dance_Music_Video" ], [ "Nelly_Furtado", "award", "MTV_Video_Music_Award_for_Best_Female_Video" ], [ "Nelly_Furtado", "award", "MTV_Video_Music_Award_for_Best_Pop_Video" ], [ "Nelly_Furtado", "award_nominee", "Timbaland" ], [ "Niger", "adjoins", "Nigeria" ], [ "Niger", "organization", "African,_Caribbean_&_Pacific_Group_of_States" ], [ "Nigeria", "adjoins", "Cameroon" ], [ "Nigeria", "adjoins", "Niger" ], [ "Nigeria", "organization", "African,_Caribbean_&_Pacific_Group_of_States" ], [ "Sony_BMG_Music_Entertainment", "artist", "'N_Sync" ], [ "Sony_BMG_Music_Entertainment", "artist", "Kelly_Clarkson" ], [ "Stanley_Donen", "participant", "Elizabeth_Taylor" ], [ "Timbaland", "award_nominee", "Missy_Elliott" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 11535, American_football 8584, Dave_Grusin 3063, Germany_national_football_team 2508, Head_coach 9476, Heaven_Can_Wait 10227, MTV_Video_Music_Award_for_Best_Male_Video 7486, Oakland_Raiders 5865, Paul_Simon 7197, Tampa_Bay_Buccaneers 5039, Tom_Petty 2308, Tom_Petty_and_the_Heartbreakers src, edge_attr, dst 11535, films, 9476 8584, award_nominee, 5865 8584, award_winner, 5865 8584, nominated_for, 9476 2508, company, 3063 2508, company, 7486 2508, company, 7197 9476, film_music, 8584 10227, award_winner, 2308 7486, sport, 11535 5865, award, 10227 5865, award_nominee, 8584 5865, award_winner, 8584 7197, sport, 11535 5039, award, 10227 5039, group, 2308 2308, award, 10227 2308, split_to, 5039 Question: How are Germany_national_football_team, Heaven_Can_Wait, and Tom_Petty related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Germany_national_football_team", "Heaven_Can_Wait", "Tom_Petty" ], "valid_edges": [ [ "American_football", "films", "Heaven_Can_Wait" ], [ "Dave_Grusin", "award_nominee", "Paul_Simon" ], [ "Dave_Grusin", "award_winner", "Paul_Simon" ], [ "Dave_Grusin", "nominated_for", "Heaven_Can_Wait" ], [ "Head_coach", "company", "Germany_national_football_team" ], [ "Head_coach", "company", "Oakland_Raiders" ], [ "Head_coach", "company", "Tampa_Bay_Buccaneers" ], [ "Heaven_Can_Wait", "film_music", "Dave_Grusin" ], [ "MTV_Video_Music_Award_for_Best_Male_Video", "award_winner", "Tom_Petty_and_the_Heartbreakers" ], [ "Oakland_Raiders", "sport", "American_football" ], [ "Paul_Simon", "award", "MTV_Video_Music_Award_for_Best_Male_Video" ], [ "Paul_Simon", "award_nominee", "Dave_Grusin" ], [ "Paul_Simon", "award_winner", "Dave_Grusin" ], [ "Tampa_Bay_Buccaneers", "sport", "American_football" ], [ "Tom_Petty", "award", "MTV_Video_Music_Award_for_Best_Male_Video" ], [ "Tom_Petty", "group", "Tom_Petty_and_the_Heartbreakers" ], [ "Tom_Petty_and_the_Heartbreakers", "award", "MTV_Video_Music_Award_for_Best_Male_Video" ], [ "Tom_Petty_and_the_Heartbreakers", "split_to", "Tom_Petty" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 13265, 56th_Primetime_Emmy_Awards 11131, Air_travel 6980, Amistad 6227, Annabeth_Gish 8713, Anthony_Hopkins 1131, April 13428, August 655, Bob_Hoskins 9410, Bulldog 13932, Bus 12425, Chancellor 6019, Christopher_Plummer 8227, Danny_Glover 2477, David_Hyde_Pierce 522, David_Paymer 4380, David_Strathairn 1421, December 9700, E._G._Marshall 8791, Ed_Harris 2367, Education 407, Edward_Herrmann 7184, February 7631, Fyvush_Finkel 5390, German_Shepherd_Dog 11714, Golden_Retriever 11696, High_Anxiety 12908, J._T._Walsh 13471, James_Woods 8081, January 5628, Joan_Allen 6030, Julianne_Moore 7804, July 4422, June 13935, Keith_Carradine 737, Kevin_Dunn 12829, Labrador_Retriever 4102, Larry_Hagman 8975, Madeline_Kahn 12064, Malibu 6522, March 13787, Mary_Steenburgen 1112, May 3327, Monash_University 2054, Nixon 6465, Northern_Illinois_University 6542, November 8619, October 6487, Paul_Sorvino 716, PhD 13578, Powers_Boothe 340, Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Drama_Series 4770, Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series 7775, Primetime_Emmy_Award_for_Outstanding_Lead_Actress_-_Miniseries_or_a_Movie 10280, Primetime_Emmy_Award_for_Outstanding_Supporting_Actor_-_Miniseries_or_a_Movie 8433, Rent 11436, San_Diego 33, San_Francisco 8960, San_Francisco_State_University 7867, Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Female_Actor_in_a_Miniseries_or_Television_Movie 1833, September 2677, Ted_Danson 8888, The_Rock 4185, Tony_Goldwyn 9104, Torino_F.C. 4045, Train 13992, Turin 6643, University_of_Bath 3848, University_of_California,_Berkeley 1640, University_of_California,_Los_Angeles 6644, University_of_California,_San_Diego 4658, University_of_California,_San_Francisco 7024, University_of_California,_Santa_Barbara 1480, University_of_Michigan 1173, University_of_Mississippi 7723, University_of_Rhode_Island 8581, University_of_Sydney 4466, Yorkshire_Terrier src, edge_attr, dst 13265, award_winner, 2477 6227, acted_in, 2054 6227, award_nominee, 8713 6227, award_nominee, 655 6227, award_nominee, 2477 6227, award_nominee, 522 6227, award_nominee, 9700 6227, award_nominee, 8791 6227, award_nominee, 407 6227, award_nominee, 7631 6227, award_nominee, 12908 6227, award_nominee, 13471 6227, award_nominee, 5628 6227, award_nominee, 737 6227, award_nominee, 4102 6227, award_nominee, 8975 6227, award_nominee, 13787 6227, award_nominee, 6487 6227, award_nominee, 13578 6227, award_nominee, 4185 6227, nominated_for, 2054 8713, acted_in, 6980 8713, acted_in, 2054 8713, award, 10280 8713, award_nominee, 655 8713, award_nominee, 2477 8713, award_nominee, 522 8713, award_nominee, 9700 8713, award_nominee, 8791 8713, award_nominee, 407 8713, award_nominee, 7631 8713, award_nominee, 12908 8713, award_nominee, 13471 8713, award_nominee, 5628 8713, award_nominee, 737 8713, award_nominee, 8975 8713, award_nominee, 13787 8713, award_nominee, 6487 8713, award_nominee, 4185 8713, location_of_ceremony, 12064 8713, nominated_for, 2054 655, acted_in, 2054 655, award_nominee, 6227 655, award_nominee, 8713 655, award_nominee, 2477 655, award_nominee, 522 655, award_nominee, 9700 655, award_nominee, 8791 655, award_nominee, 407 655, award_nominee, 7631 655, award_nominee, 12908 655, award_nominee, 13471 655, award_nominee, 5628 655, award_nominee, 737 655, award_nominee, 8975 655, award_nominee, 13787 655, award_nominee, 6487 655, award_nominee, 13578 655, nominated_for, 2054 12425, organization, 3327 12425, organization, 6643 12425, organization, 3848 12425, organization, 1640 12425, organization, 6644 12425, organization, 4658 12425, organization, 7024 12425, organization, 1173 12425, organization, 8581 6019, award, 10280 6019, award_nominee, 8791 8227, award, 10280 8227, location, 33 2477, award_nominee, 655 2477, award_nominee, 522 2477, award_nominee, 9700 2477, award_nominee, 8791 2477, award_nominee, 407 2477, award_nominee, 12908 2477, award_nominee, 13471 2477, award_nominee, 5628 2477, award_nominee, 737 2477, award_nominee, 4102 2477, award_nominee, 8975 2477, award_nominee, 6487 2477, award_nominee, 13578 2477, award_nominee, 4185 2477, nominated_for, 2054 522, acted_in, 6980 522, acted_in, 2054 522, award_nominee, 6227 522, award_nominee, 8713 522, award_nominee, 655 522, award_nominee, 9700 522, award_nominee, 8791 522, award_nominee, 407 522, award_nominee, 7631 522, award_nominee, 12908 522, award_nominee, 13471 522, award_nominee, 5628 522, award_nominee, 737 522, award_nominee, 4102 522, award_nominee, 8975 522, award_nominee, 13787 522, award_nominee, 6487 522, award_nominee, 4185 522, nominated_for, 2054 4380, location, 33 9700, acted_in, 2054 9700, award, 4770 9700, award_nominee, 6227 9700, award_nominee, 8713 9700, award_nominee, 655 9700, award_nominee, 2477 9700, award_nominee, 522 9700, award_nominee, 8791 9700, award_nominee, 407 9700, award_nominee, 7631 9700, award_nominee, 12908 9700, award_nominee, 13471 9700, award_nominee, 5628 9700, award_nominee, 737 9700, award_nominee, 4102 9700, award_nominee, 8975 9700, award_nominee, 13787 9700, award_nominee, 13578 9700, award_nominee, 4185 9700, nominated_for, 2054 8791, acted_in, 2054 8791, acted_in, 8888 8791, award, 10280 8791, award_nominee, 6227 8791, award_nominee, 8713 8791, award_nominee, 655 8791, award_nominee, 2477 8791, award_nominee, 9700 8791, award_nominee, 407 8791, award_nominee, 7631 8791, award_nominee, 12908 8791, award_nominee, 13471 8791, award_nominee, 5628 8791, award_nominee, 737 8791, award_nominee, 4102 8791, award_nominee, 8975 8791, award_nominee, 13787 8791, award_nominee, 6487 8791, award_nominee, 4185 8791, location, 12064 407, acted_in, 2054 407, award_nominee, 6227 407, award_nominee, 8713 407, award_nominee, 655 407, award_nominee, 2477 407, award_nominee, 522 407, award_nominee, 8791 407, award_nominee, 12908 407, award_nominee, 13471 407, award_nominee, 5628 407, award_nominee, 737 407, award_nominee, 4102 407, award_nominee, 8975 407, award_nominee, 13787 407, award_nominee, 6487 407, award_nominee, 13578 407, award_nominee, 4185 407, nominated_for, 2054 7631, acted_in, 2054 7631, award_nominee, 6227 7631, award_nominee, 2477 7631, award_nominee, 522 7631, award_nominee, 9700 7631, award_nominee, 8791 7631, award_nominee, 407 7631, award_nominee, 12908 7631, award_nominee, 13471 7631, award_nominee, 5628 7631, award_nominee, 737 7631, award_nominee, 4102 7631, award_nominee, 8975 7631, award_nominee, 13787 7631, award_nominee, 6487 7631, award_nominee, 13578 7631, award_nominee, 4185 11696, featured_film_locations, 33 12908, acted_in, 2054 12908, award, 10280 12908, award_nominee, 522 12908, award_nominee, 9700 12908, award_nominee, 407 12908, award_nominee, 7631 12908, award_nominee, 13471 12908, award_nominee, 5628 12908, award_nominee, 737 12908, award_nominee, 4102 12908, award_nominee, 8975 12908, award_nominee, 13787 12908, award_nominee, 6487 12908, award_nominee, 13578 12908, location, 33 12908, nominated_for, 2054 12908, place_of_birth, 33 12908, place_of_death, 11436 13471, acted_in, 2054 13471, award, 340 13471, award, 10280 13471, award_nominee, 8713 13471, award_nominee, 655 13471, award_nominee, 2477 13471, award_nominee, 522 13471, award_nominee, 9700 13471, award_nominee, 8791 13471, award_nominee, 407 13471, award_nominee, 7631 13471, award_nominee, 12908 13471, award_nominee, 5628 13471, award_nominee, 737 13471, award_nominee, 4102 13471, award_nominee, 8975 13471, award_nominee, 13787 13471, award_nominee, 6487 13471, award_nominee, 13578 13471, award_nominee, 4185 13471, nominated_for, 2054 5628, award, 7775 5628, award, 7867 5628, award_nominee, 6227 5628, award_nominee, 8713 5628, award_nominee, 655 5628, award_nominee, 2477 5628, award_nominee, 522 5628, award_nominee, 9700 5628, award_nominee, 8791 5628, award_nominee, 7631 5628, award_nominee, 12908 5628, award_nominee, 13471 5628, award_nominee, 737 5628, award_nominee, 4102 5628, award_nominee, 8975 5628, award_nominee, 13787 5628, award_nominee, 6487 5628, award_nominee, 13578 5628, award_nominee, 4185 5628, nominated_for, 2054 6030, award_nominee, 8713 6030, award_nominee, 8791 13935, award, 10280 13935, location_of_ceremony, 13992 737, acted_in, 2054 737, award_nominee, 6227 737, award_nominee, 8713 737, award_nominee, 522 737, award_nominee, 8791 737, award_nominee, 407 737, award_nominee, 7631 737, award_nominee, 12908 737, award_nominee, 5628 737, award_nominee, 4102 737, award_nominee, 8975 737, award_nominee, 13787 737, award_nominee, 6487 737, award_nominee, 13578 737, award_nominee, 4185 737, nominated_for, 2054 4102, acted_in, 2054 4102, award, 4770 4102, award_nominee, 6227 4102, award_nominee, 8713 4102, award_nominee, 655 4102, award_nominee, 2477 4102, award_nominee, 522 4102, award_nominee, 9700 4102, award_nominee, 8791 4102, award_nominee, 407 4102, award_nominee, 7631 4102, award_nominee, 12908 4102, award_nominee, 13471 4102, award_nominee, 5628 4102, award_nominee, 737 4102, award_nominee, 8975 4102, award_nominee, 13787 4102, award_nominee, 6487 4102, award_nominee, 13578 4102, award_nominee, 4185 4102, nominated_for, 2054 8975, acted_in, 11696 8975, acted_in, 2054 8975, award_nominee, 655 8975, award_nominee, 2477 8975, award_nominee, 9700 8975, award_nominee, 8791 8975, award_nominee, 407 8975, award_nominee, 7631 8975, award_nominee, 12908 8975, award_nominee, 13471 8975, award_nominee, 5628 8975, award_nominee, 737 8975, award_nominee, 4102 8975, award_nominee, 13787 8975, award_nominee, 6487 8975, award_nominee, 4185 8975, nominated_for, 2054 13787, award, 7775 13787, award, 7867 13787, award_nominee, 6227 13787, award_nominee, 8713 13787, award_nominee, 2477 13787, award_nominee, 522 13787, award_nominee, 9700 13787, award_nominee, 7631 13787, award_nominee, 12908 13787, award_nominee, 13471 13787, award_nominee, 5628 13787, award_nominee, 737 13787, award_nominee, 8975 13787, award_nominee, 6487 13787, award_nominee, 13578 13787, nominated_for, 2054 13787, spouse, 2677 3327, major_field_of_study, 2367 2054, award_winner, 5628 6465, major_field_of_study, 2367 6465, student, 5628 6487, acted_in, 2054 6487, award_nominee, 8713 6487, award_nominee, 655 6487, award_nominee, 2477 6487, award_nominee, 9700 6487, award_nominee, 8791 6487, award_nominee, 407 6487, award_nominee, 7631 6487, award_nominee, 12908 6487, award_nominee, 5628 6487, award_nominee, 737 6487, award_nominee, 4102 6487, award_nominee, 8975 6487, award_nominee, 13787 6487, award_nominee, 13578 6487, award_nominee, 4185 6487, nominated_for, 2054 716, institution, 7723 716, major_field_of_study, 2367 13578, acted_in, 2054 13578, award_nominee, 6227 13578, award_nominee, 8713 13578, award_nominee, 655 13578, award_nominee, 2477 13578, award_nominee, 522 13578, award_nominee, 8791 13578, award_nominee, 407 13578, award_nominee, 7631 13578, award_nominee, 12908 13578, award_nominee, 5628 13578, award_nominee, 737 13578, award_nominee, 8975 13578, award_nominee, 13787 13578, award_nominee, 6487 13578, award_nominee, 4185 13578, nominated_for, 2054 340, award_winner, 407 4770, award_winner, 9700 10280, award_winner, 4380 10280, ceremony, 13265 8433, featured_film_locations, 11436 8433, featured_film_locations, 33 11436, contains, 6644 11436, dog_breed, 9410 11436, dog_breed, 5390 11436, dog_breed, 11714 11436, dog_breed, 12829 11436, dog_breed, 4466 11436, mode_of_transportation, 11131 11436, mode_of_transportation, 13932 11436, mode_of_transportation, 4045 11436, month, 1131 11436, month, 13428 11436, month, 1421 11436, month, 7184 11436, month, 8081 11436, month, 7804 11436, month, 4422 11436, month, 6522 11436, month, 1112 11436, month, 6542 11436, month, 8619 11436, month, 1833 11436, place, 11436 33, contains, 8960 33, contains, 4658 33, county_seat, 33 33, dog_breed, 9410 33, dog_breed, 5390 33, dog_breed, 11714 33, dog_breed, 12829 33, dog_breed, 4466 33, mode_of_transportation, 11131 33, mode_of_transportation, 13932 33, mode_of_transportation, 4045 33, month, 1131 33, month, 13428 33, month, 1421 33, month, 7184 33, month, 8081 33, month, 7804 33, month, 4422 33, month, 6522 33, month, 1112 33, month, 6542 33, month, 8619 33, month, 1833 8960, citytown, 33 8960, major_field_of_study, 2367 2677, place_of_birth, 11436 8888, featured_film_locations, 33 4185, award_nominee, 6227 4185, award_nominee, 8713 4185, award_nominee, 655 4185, award_nominee, 2477 4185, award_nominee, 522 4185, award_nominee, 9700 4185, award_nominee, 8791 4185, award_nominee, 407 4185, award_nominee, 7631 4185, award_nominee, 12908 4185, award_nominee, 13471 4185, award_nominee, 737 4185, award_nominee, 4102 4185, award_nominee, 13787 4185, award_nominee, 6487 4185, award_nominee, 13578 4185, nominated_for, 2054 13992, teams, 9104 6643, campuses, 6643 6643, educational_institution, 6643 6643, major_field_of_study, 2367 3848, major_field_of_study, 2367 1640, major_field_of_study, 2367 4658, citytown, 33 7024, major_field_of_study, 2367 1480, major_field_of_study, 2367 1480, student, 522 1173, major_field_of_study, 2367 7723, campuses, 7723 7723, student, 12908 8581, major_field_of_study, 2367 Question: In what context are J._T._Walsh, Torino_F.C., and University_of_Bath connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "J._T._Walsh", "Torino_F.C.", "University_of_Bath" ], "valid_edges": [ [ "56th_Primetime_Emmy_Awards", "award_winner", "David_Hyde_Pierce" ], [ "Annabeth_Gish", "acted_in", "Nixon" ], [ "Annabeth_Gish", "award_nominee", "Anthony_Hopkins" ], [ "Annabeth_Gish", "award_nominee", "Bob_Hoskins" ], [ "Annabeth_Gish", "award_nominee", "David_Hyde_Pierce" ], [ "Annabeth_Gish", "award_nominee", "David_Paymer" ], [ "Annabeth_Gish", "award_nominee", "E._G._Marshall" ], [ "Annabeth_Gish", "award_nominee", "Ed_Harris" ], [ "Annabeth_Gish", "award_nominee", "Edward_Herrmann" ], [ "Annabeth_Gish", "award_nominee", "Fyvush_Finkel" ], [ "Annabeth_Gish", "award_nominee", "J._T._Walsh" ], [ "Annabeth_Gish", "award_nominee", "James_Woods" ], [ "Annabeth_Gish", "award_nominee", "Joan_Allen" ], [ "Annabeth_Gish", "award_nominee", "Kevin_Dunn" ], [ "Annabeth_Gish", "award_nominee", "Larry_Hagman" ], [ "Annabeth_Gish", "award_nominee", "Madeline_Kahn" ], [ "Annabeth_Gish", "award_nominee", 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"Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Female_Actor_in_a_Miniseries_or_Television_Movie" ], [ "Mary_Steenburgen", "award_nominee", "Annabeth_Gish" ], [ "Mary_Steenburgen", "award_nominee", "Anthony_Hopkins" ], [ "Mary_Steenburgen", "award_nominee", "David_Hyde_Pierce" ], [ "Mary_Steenburgen", "award_nominee", "David_Paymer" ], [ "Mary_Steenburgen", "award_nominee", "E._G._Marshall" ], [ "Mary_Steenburgen", "award_nominee", "Fyvush_Finkel" ], [ "Mary_Steenburgen", "award_nominee", "J._T._Walsh" ], [ "Mary_Steenburgen", "award_nominee", "James_Woods" ], [ "Mary_Steenburgen", "award_nominee", "Joan_Allen" ], [ "Mary_Steenburgen", "award_nominee", "Kevin_Dunn" ], [ "Mary_Steenburgen", "award_nominee", "Madeline_Kahn" ], [ "Mary_Steenburgen", "award_nominee", "Paul_Sorvino" ], [ "Mary_Steenburgen", "award_nominee", "Powers_Boothe" ], [ "Mary_Steenburgen", "nominated_for", "Nixon" ], [ "Mary_Steenburgen", "spouse", "Ted_Danson" ], [ "Monash_University", "major_field_of_study", "Education" ], [ "Nixon", "award_winner", "Joan_Allen" ], [ "Northern_Illinois_University", "major_field_of_study", "Education" ], [ "Northern_Illinois_University", "student", "Joan_Allen" ], [ "Paul_Sorvino", "acted_in", "Nixon" ], [ "Paul_Sorvino", "award_nominee", "Anthony_Hopkins" ], [ "Paul_Sorvino", "award_nominee", "Bob_Hoskins" ], [ "Paul_Sorvino", "award_nominee", "David_Hyde_Pierce" ], [ "Paul_Sorvino", "award_nominee", "E._G._Marshall" ], [ "Paul_Sorvino", "award_nominee", "Ed_Harris" ], [ "Paul_Sorvino", "award_nominee", "Edward_Herrmann" ], [ "Paul_Sorvino", "award_nominee", "Fyvush_Finkel" ], [ "Paul_Sorvino", "award_nominee", "J._T._Walsh" ], [ "Paul_Sorvino", "award_nominee", "Joan_Allen" ], [ "Paul_Sorvino", "award_nominee", "Kevin_Dunn" ], [ "Paul_Sorvino", "award_nominee", "Larry_Hagman" ], [ "Paul_Sorvino", "award_nominee", "Madeline_Kahn" ], [ "Paul_Sorvino", "award_nominee", "Mary_Steenburgen" ], [ "Paul_Sorvino", "award_nominee", "Powers_Boothe" ], [ "Paul_Sorvino", "award_nominee", "Tony_Goldwyn" ], [ "Paul_Sorvino", "nominated_for", "Nixon" ], [ "PhD", "institution", "University_of_Rhode_Island" ], [ "PhD", "major_field_of_study", "Education" ], [ "Powers_Boothe", "acted_in", "Nixon" ], [ "Powers_Boothe", "award_nominee", "Annabeth_Gish" ], [ "Powers_Boothe", "award_nominee", "Anthony_Hopkins" ], [ "Powers_Boothe", "award_nominee", "Bob_Hoskins" ], [ "Powers_Boothe", "award_nominee", "David_Hyde_Pierce" ], [ "Powers_Boothe", "award_nominee", "David_Paymer" ], [ "Powers_Boothe", "award_nominee", "Ed_Harris" ], [ "Powers_Boothe", "award_nominee", "Edward_Herrmann" ], [ "Powers_Boothe", "award_nominee", "Fyvush_Finkel" ], [ "Powers_Boothe", "award_nominee", "J._T._Walsh" ], [ "Powers_Boothe", "award_nominee", "Joan_Allen" ], [ "Powers_Boothe", "award_nominee", "Kevin_Dunn" ], [ "Powers_Boothe", "award_nominee", "Madeline_Kahn" ], [ "Powers_Boothe", "award_nominee", "Mary_Steenburgen" ], [ "Powers_Boothe", "award_nominee", "Paul_Sorvino" ], [ "Powers_Boothe", "award_nominee", "Tony_Goldwyn" ], [ "Powers_Boothe", "nominated_for", "Nixon" ], [ "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Drama_Series", "award_winner", "Edward_Herrmann" ], [ "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series", "award_winner", "E._G._Marshall" ], [ "Primetime_Emmy_Award_for_Outstanding_Supporting_Actor_-_Miniseries_or_a_Movie", "award_winner", "David_Strathairn" ], [ "Primetime_Emmy_Award_for_Outstanding_Supporting_Actor_-_Miniseries_or_a_Movie", "ceremony", "56th_Primetime_Emmy_Awards" ], [ "Rent", "featured_film_locations", "San_Diego" ], [ "Rent", "featured_film_locations", "San_Francisco" ], [ "San_Diego", "contains", "University_of_California,_San_Diego" ], [ "San_Diego", "dog_breed", "Bulldog" ], [ "San_Diego", "dog_breed", "German_Shepherd_Dog" ], [ "San_Diego", "dog_breed", "Golden_Retriever" ], [ "San_Diego", "dog_breed", "Labrador_Retriever" ], [ "San_Diego", "dog_breed", "Yorkshire_Terrier" ], [ "San_Diego", "mode_of_transportation", "Air_travel" ], [ "San_Diego", "mode_of_transportation", "Bus" ], [ "San_Diego", "mode_of_transportation", "Train" ], [ "San_Diego", "month", "April" ], [ "San_Diego", "month", "August" ], [ "San_Diego", "month", "December" ], [ "San_Diego", "month", "February" ], [ "San_Diego", "month", "January" ], [ "San_Diego", "month", "July" ], [ "San_Diego", "month", "June" ], [ "San_Diego", "month", "March" ], [ "San_Diego", "month", "May" ], [ "San_Diego", "month", "November" ], [ "San_Diego", "month", "October" ], [ "San_Diego", "month", "September" ], [ "San_Diego", "place", "San_Diego" ], [ "San_Francisco", "contains", "San_Francisco_State_University" ], [ "San_Francisco", "contains", "University_of_California,_San_Francisco" ], [ "San_Francisco", "county_seat", "San_Francisco" ], [ "San_Francisco", "dog_breed", "Bulldog" ], [ "San_Francisco", "dog_breed", "German_Shepherd_Dog" ], [ "San_Francisco", "dog_breed", "Golden_Retriever" ], [ "San_Francisco", "dog_breed", "Labrador_Retriever" ], [ "San_Francisco", "dog_breed", "Yorkshire_Terrier" ], [ "San_Francisco", "mode_of_transportation", "Air_travel" ], [ "San_Francisco", "mode_of_transportation", "Bus" ], [ "San_Francisco", "mode_of_transportation", "Train" ], [ "San_Francisco", "month", "April" ], [ "San_Francisco", "month", "August" ], [ "San_Francisco", "month", "December" ], [ "San_Francisco", "month", "February" ], [ "San_Francisco", "month", "January" ], [ "San_Francisco", "month", "July" ], [ "San_Francisco", "month", "June" ], [ "San_Francisco", "month", "March" ], [ "San_Francisco", "month", "May" ], [ "San_Francisco", "month", "November" ], [ "San_Francisco", "month", "October" ], [ "San_Francisco", "month", "September" ], [ "San_Francisco_State_University", "citytown", "San_Francisco" ], [ "San_Francisco_State_University", "major_field_of_study", "Education" ], [ "Ted_Danson", "place_of_birth", "San_Diego" ], [ "The_Rock", "featured_film_locations", "San_Francisco" ], [ "Tony_Goldwyn", "award_nominee", "Annabeth_Gish" ], [ "Tony_Goldwyn", "award_nominee", "Anthony_Hopkins" ], [ "Tony_Goldwyn", "award_nominee", "Bob_Hoskins" ], [ "Tony_Goldwyn", "award_nominee", "David_Hyde_Pierce" ], [ "Tony_Goldwyn", "award_nominee", "David_Paymer" ], [ "Tony_Goldwyn", "award_nominee", "E._G._Marshall" ], [ "Tony_Goldwyn", "award_nominee", "Ed_Harris" ], [ "Tony_Goldwyn", "award_nominee", "Edward_Herrmann" ], [ "Tony_Goldwyn", "award_nominee", "Fyvush_Finkel" ], [ "Tony_Goldwyn", "award_nominee", "J._T._Walsh" ], [ "Tony_Goldwyn", "award_nominee", "James_Woods" ], [ "Tony_Goldwyn", "award_nominee", "Kevin_Dunn" ], [ "Tony_Goldwyn", "award_nominee", "Larry_Hagman" ], [ "Tony_Goldwyn", "award_nominee", "Mary_Steenburgen" ], [ "Tony_Goldwyn", "award_nominee", "Paul_Sorvino" ], [ "Tony_Goldwyn", "award_nominee", "Powers_Boothe" ], [ "Tony_Goldwyn", "nominated_for", "Nixon" ], [ "Turin", "teams", "Torino_F.C." ], [ "University_of_Bath", "campuses", "University_of_Bath" ], [ "University_of_Bath", "educational_institution", "University_of_Bath" ], [ "University_of_Bath", "major_field_of_study", "Education" ], [ "University_of_California,_Berkeley", "major_field_of_study", "Education" ], [ "University_of_California,_Los_Angeles", "major_field_of_study", "Education" ], [ "University_of_California,_San_Francisco", "citytown", "San_Francisco" ], [ "University_of_California,_Santa_Barbara", "major_field_of_study", "Education" ], [ "University_of_Michigan", "major_field_of_study", "Education" ], [ "University_of_Michigan", "student", "David_Paymer" ], [ "University_of_Mississippi", "major_field_of_study", "Education" ], [ "University_of_Rhode_Island", "campuses", "University_of_Rhode_Island" ], [ "University_of_Rhode_Island", "student", "J._T._Walsh" ], [ "University_of_Sydney", "major_field_of_study", "Education" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 12884, American_English 7500, Anna_Faris 4788, Barack_Obama 5058, Democratic_Party 13121, English_American 3095, Gordon_Brown 9243, Green 12590, Historical_fiction 8167, Ironclad 2066, Lyndon_B._Johnson 2008, Polytechnic_Institute_of_New_York_University 11514, The_Devil's_Double 4366, The_Dictator 1877, University_of_Edinburgh src, edge_attr, dst 7500, acted_in, 4366 4788, participant, 3095 5058, party_politician, 4788 5058, party_politician, 2066 13121, languages_spoken, 12884 13121, people, 7500 13121, people, 4788 13121, people, 2066 3095, participant, 4788 8167, genre, 12590 8167, language, 12884 2008, campuses, 2008 2008, colors, 9243 2008, educational_institution, 2008 11514, genre, 12590 11514, language, 12884 4366, person, 4788 1877, colors, 9243 1877, student, 3095 Question: How are Barack_Obama, Ironclad, and Polytechnic_Institute_of_New_York_University related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Barack_Obama", "Ironclad", "Polytechnic_Institute_of_New_York_University" ], "valid_edges": [ [ "Anna_Faris", "acted_in", "The_Dictator" ], [ "Barack_Obama", "participant", "Gordon_Brown" ], [ "Democratic_Party", "party_politician", "Barack_Obama" ], [ "Democratic_Party", "party_politician", "Lyndon_B._Johnson" ], [ "English_American", "languages_spoken", "American_English" ], [ "English_American", "people", "Anna_Faris" ], [ "English_American", "people", "Barack_Obama" ], [ "English_American", "people", "Lyndon_B._Johnson" ], [ "Gordon_Brown", "participant", "Barack_Obama" ], [ "Ironclad", "genre", "Historical_fiction" ], [ "Ironclad", "language", "American_English" ], [ "Polytechnic_Institute_of_New_York_University", "campuses", "Polytechnic_Institute_of_New_York_University" ], [ "Polytechnic_Institute_of_New_York_University", "colors", "Green" ], [ "Polytechnic_Institute_of_New_York_University", "educational_institution", "Polytechnic_Institute_of_New_York_University" ], [ "The_Devil's_Double", "genre", "Historical_fiction" ], [ "The_Devil's_Double", "language", "American_English" ], [ "The_Dictator", "person", "Barack_Obama" ], [ "University_of_Edinburgh", "colors", "Green" ], [ "University_of_Edinburgh", "student", "Gordon_Brown" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 9983, 65th_Golden_Globe_Awards 984, Adrian_Grenier 7112, Crusades 497, Entourage 11602, Harry_Gregson-Williams 6123, Jeremy_Piven 3162, Jon_Hamm 3209, Kingdom_of_Heaven 126, Native_Americans_in_the_United_States 2877, Shrek_Forever_After 8332, Sucker_Punch 10176, Vanessa_Hudgens src, edge_attr, dst 9983, award_winner, 6123 9983, award_winner, 3162 9983, honored_for, 497 984, award_nominee, 6123 984, nominated_for, 497 7112, films, 3209 497, actor, 984 6123, award_nominee, 984 3162, acted_in, 2877 3162, acted_in, 8332 3209, award_winner, 11602 126, people, 984 126, people, 10176 2877, film_music, 11602 10176, acted_in, 8332 Question: In what context are Crusades, Jon_Hamm, and Native_Americans_in_the_United_States connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Crusades", "Jon_Hamm", "Native_Americans_in_the_United_States" ], "valid_edges": [ [ "65th_Golden_Globe_Awards", "award_winner", "Jeremy_Piven" ], [ "65th_Golden_Globe_Awards", "award_winner", "Jon_Hamm" ], [ "65th_Golden_Globe_Awards", "honored_for", "Entourage" ], [ "Adrian_Grenier", "award_nominee", "Jeremy_Piven" ], [ "Adrian_Grenier", "nominated_for", "Entourage" ], [ "Crusades", "films", "Kingdom_of_Heaven" ], [ "Entourage", "actor", "Adrian_Grenier" ], [ "Jeremy_Piven", "award_nominee", "Adrian_Grenier" ], [ "Jon_Hamm", "acted_in", "Shrek_Forever_After" ], [ "Jon_Hamm", "acted_in", "Sucker_Punch" ], [ "Kingdom_of_Heaven", "award_winner", "Harry_Gregson-Williams" ], [ "Native_Americans_in_the_United_States", "people", "Adrian_Grenier" ], [ "Native_Americans_in_the_United_States", "people", "Vanessa_Hudgens" ], [ "Shrek_Forever_After", "film_music", "Harry_Gregson-Williams" ], [ "Vanessa_Hudgens", "acted_in", "Sucker_Punch" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 5049, Art_Director 3544, Breakfast_on_Pluto 10903, Brendan_Gleeson 10139, Brian_Helgeland 7279, Bruce_Berman 5487, Bryan_Ferry 12912, Cast_Away 13820, Conspiracy_Theory 28, Easton 9800, Green_Zone 8095, House_of_Wax 398, Joel_Silver 1873, John_Ottman 3209, Kingdom_of_Heaven 193, Lafayette_College 2981, Michael_Collins 11410, Mission:_Impossible_II 6957, Neil_Jordan 12774, Newcastle_University 11902, Stephen_Rea 5806, Stephen_Woolley 9722, The_Matrix_Reloaded 9345, The_Village 9371, Tom_Johnson 14096, Unknown src, edge_attr, dst 3544, crewmember, 9371 3544, film_crew_role, 5049 3544, produced_by, 6957 3544, produced_by, 5806 3544, written_by, 6957 10903, acted_in, 3544 10903, acted_in, 9800 10903, acted_in, 3209 10903, acted_in, 2981 10903, acted_in, 11410 10903, acted_in, 9345 10139, nominated_for, 13820 5487, acted_in, 3544 12912, crewmember, 9371 12912, film_crew_role, 5049 13820, film_crew_role, 5049 13820, produced_by, 398 13820, written_by, 10139 28, contains, 193 28, place, 28 9800, film_crew_role, 5049 9800, written_by, 10139 8095, executive_produced_by, 7279 8095, film_crew_role, 5049 8095, film_music, 1873 398, nominated_for, 8095 3209, film_crew_role, 5049 193, campuses, 193 193, citytown, 28 193, educational_institution, 193 193, student, 398 2981, award_winner, 6957 2981, film_crew_role, 5049 2981, produced_by, 5806 2981, written_by, 6957 11410, film_crew_role, 5049 6957, film, 3544 6957, film, 2981 12774, campuses, 12774 12774, educational_institution, 12774 12774, student, 5487 11902, acted_in, 3544 11902, acted_in, 2981 9722, executive_produced_by, 7279 9722, film_crew_role, 5049 9722, produced_by, 398 9345, film_crew_role, 5049 9371, nominated_for, 12912 14096, film_crew_role, 5049 14096, film_music, 1873 14096, produced_by, 398 Question: For what reason are Art_Director, Easton, and Newcastle_University associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Art_Director", "Easton", "Newcastle_University" ], "valid_edges": [ [ "Breakfast_on_Pluto", "crewmember", "Tom_Johnson" ], [ "Breakfast_on_Pluto", "film_crew_role", "Art_Director" ], [ "Breakfast_on_Pluto", "produced_by", "Neil_Jordan" ], [ "Breakfast_on_Pluto", "produced_by", "Stephen_Woolley" ], [ "Breakfast_on_Pluto", "written_by", "Neil_Jordan" ], [ "Brendan_Gleeson", "acted_in", "Breakfast_on_Pluto" ], [ "Brendan_Gleeson", "acted_in", "Green_Zone" ], [ "Brendan_Gleeson", "acted_in", "Kingdom_of_Heaven" ], [ "Brendan_Gleeson", "acted_in", "Michael_Collins" ], [ "Brendan_Gleeson", "acted_in", "Mission:_Impossible_II" ], [ "Brendan_Gleeson", "acted_in", "The_Village" ], [ "Brian_Helgeland", "nominated_for", "Conspiracy_Theory" ], [ "Bryan_Ferry", "acted_in", "Breakfast_on_Pluto" ], [ "Cast_Away", "crewmember", "Tom_Johnson" ], [ "Cast_Away", "film_crew_role", "Art_Director" ], [ "Conspiracy_Theory", "film_crew_role", "Art_Director" ], [ "Conspiracy_Theory", "produced_by", "Joel_Silver" ], [ "Conspiracy_Theory", "written_by", "Brian_Helgeland" ], [ "Easton", "contains", "Lafayette_College" ], [ "Easton", "place", "Easton" ], [ "Green_Zone", "film_crew_role", "Art_Director" ], [ "Green_Zone", "written_by", "Brian_Helgeland" ], [ "House_of_Wax", "executive_produced_by", "Bruce_Berman" ], [ "House_of_Wax", "film_crew_role", "Art_Director" ], [ "House_of_Wax", "film_music", "John_Ottman" ], [ "Joel_Silver", "nominated_for", "House_of_Wax" ], [ "Kingdom_of_Heaven", "film_crew_role", "Art_Director" ], [ "Lafayette_College", "campuses", "Lafayette_College" ], [ "Lafayette_College", "citytown", "Easton" ], [ "Lafayette_College", "educational_institution", "Lafayette_College" ], [ "Lafayette_College", "student", "Joel_Silver" ], [ "Michael_Collins", "award_winner", "Neil_Jordan" ], [ "Michael_Collins", "film_crew_role", "Art_Director" ], [ "Michael_Collins", "produced_by", "Stephen_Woolley" ], [ "Michael_Collins", "written_by", "Neil_Jordan" ], [ "Mission:_Impossible_II", "film_crew_role", "Art_Director" ], [ "Neil_Jordan", "film", "Breakfast_on_Pluto" ], [ "Neil_Jordan", "film", "Michael_Collins" ], [ "Newcastle_University", "campuses", "Newcastle_University" ], [ "Newcastle_University", "educational_institution", "Newcastle_University" ], [ "Newcastle_University", "student", "Bryan_Ferry" ], [ "Stephen_Rea", "acted_in", "Breakfast_on_Pluto" ], [ "Stephen_Rea", "acted_in", "Michael_Collins" ], [ "The_Matrix_Reloaded", "executive_produced_by", "Bruce_Berman" ], [ "The_Matrix_Reloaded", "film_crew_role", "Art_Director" ], [ "The_Matrix_Reloaded", "produced_by", "Joel_Silver" ], [ "The_Village", "film_crew_role", "Art_Director" ], [ "Tom_Johnson", "nominated_for", "Cast_Away" ], [ "Unknown", "film_crew_role", "Art_Director" ], [ "Unknown", "film_music", "John_Ottman" ], [ "Unknown", "produced_by", "Joel_Silver" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 3319, 12th_Screen_Actors_Guild_Awards 14241, A_Serious_Man 6162, Ang_Lee 13809, Brokeback_Mountain 465, Dakota_Fanning 6593, Darren_Aronofsky 1836, Dominica 5896, Ethan_Coen 9405, Fargo 11335, German_American 6506, Independent_Spirit_Award_for_Best_Director 11606, Jared_Leto 6591, Joel_Coen 11875, London_Film_Critics_Circle_Award_for_Director_of_the_Year 411, MTV_Movie_Award_for_Best_Scared-As-S**t_Performance 1414, Nine_Lives 8594, North_America-US 8099, Paris_Hilton 385, Rachel_Weisz 11364, Requiem_for_a_Dream 12848, Robert_Altman 5386, Sean_Hayes 11090, The_Cat_in_the_Hat src, edge_attr, dst 3319, award_winner, 385 3319, award_winner, 5386 14241, film_release_region, 8594 6162, award, 6506 13809, award_honor_award, 6506 13809, award_honor_award, 11875 465, acted_in, 1414 465, acted_in, 11090 465, award, 411 465, nominated_for, 1414 6593, award, 6506 6593, award, 11875 6593, film, 11364 6593, nominated_for, 11364 6593, spouse, 385 5896, award, 6506 9405, award_honor_award, 6506 9405, award_honor_award, 11875 11335, people, 465 11335, people, 8099 6506, award_winner, 6162 6506, award_winner, 6593 6506, award_winner, 6591 6506, nominated_for, 14241 6506, nominated_for, 1414 6506, nominated_for, 11364 11606, acted_in, 11364 11606, participant, 8099 6591, award, 6506 11875, award_winner, 6162 11875, award_winner, 5896 11875, award_winner, 6591 11875, award_winner, 12848 411, award_winner, 465 8594, countries_within, 1836 8099, acted_in, 11090 8099, award, 411 8099, participant, 11606 11364, written_by, 6593 12848, award, 6506 5386, acted_in, 11090 Question: In what context are Darren_Aronofsky, Dominica, and The_Cat_in_the_Hat connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Darren_Aronofsky", "Dominica", "The_Cat_in_the_Hat" ], "valid_edges": [ [ "12th_Screen_Actors_Guild_Awards", "award_winner", "Rachel_Weisz" ], [ "12th_Screen_Actors_Guild_Awards", "award_winner", "Sean_Hayes" ], [ "A_Serious_Man", "film_release_region", "North_America-US" ], [ "Ang_Lee", "award", "Independent_Spirit_Award_for_Best_Director" ], [ "Brokeback_Mountain", "award_honor_award", "Independent_Spirit_Award_for_Best_Director" ], [ "Brokeback_Mountain", "award_honor_award", "London_Film_Critics_Circle_Award_for_Director_of_the_Year" ], [ "Dakota_Fanning", "acted_in", "Nine_Lives" ], [ "Dakota_Fanning", "acted_in", "The_Cat_in_the_Hat" ], [ "Dakota_Fanning", "award", "MTV_Movie_Award_for_Best_Scared-As-S**t_Performance" ], [ "Dakota_Fanning", "nominated_for", "Nine_Lives" ], [ "Darren_Aronofsky", "award", "Independent_Spirit_Award_for_Best_Director" ], [ "Darren_Aronofsky", "award", "London_Film_Critics_Circle_Award_for_Director_of_the_Year" ], [ "Darren_Aronofsky", "film", "Requiem_for_a_Dream" ], [ "Darren_Aronofsky", "nominated_for", "Requiem_for_a_Dream" ], [ "Darren_Aronofsky", "spouse", "Rachel_Weisz" ], [ "Ethan_Coen", "award", "Independent_Spirit_Award_for_Best_Director" ], [ "Fargo", "award_honor_award", "Independent_Spirit_Award_for_Best_Director" ], [ "Fargo", "award_honor_award", "London_Film_Critics_Circle_Award_for_Director_of_the_Year" ], [ "German_American", "people", "Dakota_Fanning" ], [ "German_American", "people", "Paris_Hilton" ], [ "Independent_Spirit_Award_for_Best_Director", "award_winner", "Ang_Lee" ], [ "Independent_Spirit_Award_for_Best_Director", "award_winner", "Darren_Aronofsky" ], [ "Independent_Spirit_Award_for_Best_Director", "award_winner", "Joel_Coen" ], [ "Independent_Spirit_Award_for_Best_Director", "nominated_for", "A_Serious_Man" ], [ "Independent_Spirit_Award_for_Best_Director", "nominated_for", "Nine_Lives" ], [ "Independent_Spirit_Award_for_Best_Director", "nominated_for", "Requiem_for_a_Dream" ], [ "Jared_Leto", "acted_in", "Requiem_for_a_Dream" ], [ "Jared_Leto", "participant", "Paris_Hilton" ], [ "Joel_Coen", "award", "Independent_Spirit_Award_for_Best_Director" ], [ "London_Film_Critics_Circle_Award_for_Director_of_the_Year", "award_winner", "Ang_Lee" ], [ "London_Film_Critics_Circle_Award_for_Director_of_the_Year", "award_winner", "Ethan_Coen" ], [ "London_Film_Critics_Circle_Award_for_Director_of_the_Year", "award_winner", "Joel_Coen" ], [ "London_Film_Critics_Circle_Award_for_Director_of_the_Year", "award_winner", "Robert_Altman" ], [ "MTV_Movie_Award_for_Best_Scared-As-S**t_Performance", "award_winner", "Dakota_Fanning" ], [ "North_America-US", "countries_within", "Dominica" ], [ "Paris_Hilton", "acted_in", "The_Cat_in_the_Hat" ], [ "Paris_Hilton", "award", "MTV_Movie_Award_for_Best_Scared-As-S**t_Performance" ], [ "Paris_Hilton", "participant", "Jared_Leto" ], [ "Requiem_for_a_Dream", "written_by", "Darren_Aronofsky" ], [ "Robert_Altman", "award", "Independent_Spirit_Award_for_Best_Director" ], [ "Sean_Hayes", "acted_in", "The_Cat_in_the_Hat" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 2810, Hebrew_Language 9887, Judy_Garland 3950, Lena_Horne 12322, Lily_Tomlin 6320, Meet_the_Fockers 13343, Pin-up_girl-GB 6672, Shelley_Winters 1823, Special_Tony_Award 2394, The_Poseidon_Adventure 579, Tim_Blake_Nelson src, edge_attr, dst 9887, profession, 13343 3950, profession, 13343 6320, language, 2810 6672, acted_in, 2394 6672, nominated_for, 2394 6672, profession, 13343 1823, award_winner, 9887 1823, award_winner, 3950 1823, award_winner, 12322 2394, award_winner, 6672 2394, language, 2810 579, acted_in, 6320 Question: How are Lily_Tomlin, Shelley_Winters, and Tim_Blake_Nelson related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Lily_Tomlin", "Shelley_Winters", "Tim_Blake_Nelson" ], "valid_edges": [ [ "Judy_Garland", "profession", "Pin-up_girl-GB" ], [ "Lena_Horne", "profession", "Pin-up_girl-GB" ], [ "Meet_the_Fockers", "language", "Hebrew_Language" ], [ "Shelley_Winters", "acted_in", "The_Poseidon_Adventure" ], [ "Shelley_Winters", "nominated_for", "The_Poseidon_Adventure" ], [ "Shelley_Winters", "profession", "Pin-up_girl-GB" ], [ "Special_Tony_Award", "award_winner", "Judy_Garland" ], [ "Special_Tony_Award", "award_winner", "Lena_Horne" ], [ "Special_Tony_Award", "award_winner", "Lily_Tomlin" ], [ "The_Poseidon_Adventure", "award_winner", "Shelley_Winters" ], [ "The_Poseidon_Adventure", "language", "Hebrew_Language" ], [ "Tim_Blake_Nelson", "acted_in", "Meet_the_Fockers" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 229, Bill_Hicks 12221, Bootsy_Collins 10805, Cincinnati 8544, Funkadelic 833, Hamilton_County 1298, La_Dolce_Vita 8016, Marcello_Mastroianni 6528, Nico 3995, Pancreatic_cancer 1592, Radiohead 12820, Talking_Heads 5308, The_Velvet_Underground src, edge_attr, dst 12221, group, 8544 12221, location, 10805 12221, place_of_birth, 10805 10805, county, 833 10805, place, 10805 833, contains, 10805 833, county_seat, 10805 1298, award_winner, 8016 8016, acted_in, 1298 6528, acted_in, 1298 6528, group, 5308 3995, people, 229 3995, people, 8016 1592, influenced_by, 229 1592, influenced_by, 12820 12820, influenced_by, 8544 12820, influenced_by, 5308 Question: How are Hamilton_County, Marcello_Mastroianni, and Talking_Heads related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Hamilton_County", "Marcello_Mastroianni", "Talking_Heads" ], "valid_edges": [ [ "Bootsy_Collins", "group", "Funkadelic" ], [ "Bootsy_Collins", "location", "Cincinnati" ], [ "Bootsy_Collins", "place_of_birth", "Cincinnati" ], [ "Cincinnati", "county", "Hamilton_County" ], [ "Cincinnati", "place", "Cincinnati" ], [ "Hamilton_County", "contains", "Cincinnati" ], [ "Hamilton_County", "county_seat", "Cincinnati" ], [ "La_Dolce_Vita", "award_winner", "Marcello_Mastroianni" ], [ "Marcello_Mastroianni", "acted_in", "La_Dolce_Vita" ], [ "Nico", "acted_in", "La_Dolce_Vita" ], [ "Nico", "group", "The_Velvet_Underground" ], [ "Pancreatic_cancer", "people", "Bill_Hicks" ], [ "Pancreatic_cancer", "people", "Marcello_Mastroianni" ], [ "Radiohead", "influenced_by", "Bill_Hicks" ], [ "Radiohead", "influenced_by", "Talking_Heads" ], [ "Talking_Heads", "influenced_by", "Funkadelic" ], [ "Talking_Heads", "influenced_by", "The_Velvet_Underground" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 5174, Away_We_Go 10219, Concordia_University 1394, Fred_Willard 3024, Maggie_Gyllenhaal 2495, Maroon 62, Monster_House 818, Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series 12948, Virginia_Union_University 2163, Will_Arnett src, edge_attr, dst 10219, colors, 2495 10219, student, 2163 1394, acted_in, 62 1394, award, 818 3024, acted_in, 5174 3024, acted_in, 62 12948, campuses, 12948 12948, colors, 2495 12948, educational_institution, 12948 2163, award, 818 Question: For what reason are Away_We_Go, Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series, and Virginia_Union_University associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Away_We_Go", "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series", "Virginia_Union_University" ], "valid_edges": [ [ "Concordia_University", "colors", "Maroon" ], [ "Concordia_University", "student", "Will_Arnett" ], [ "Fred_Willard", "acted_in", "Monster_House" ], [ "Fred_Willard", "award", "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series" ], [ "Maggie_Gyllenhaal", "acted_in", "Away_We_Go" ], [ "Maggie_Gyllenhaal", "acted_in", "Monster_House" ], [ "Virginia_Union_University", "campuses", "Virginia_Union_University" ], [ "Virginia_Union_University", "colors", "Maroon" ], [ "Virginia_Union_University", "educational_institution", "Virginia_Union_University" ], [ "Will_Arnett", "award", "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 10137, Bill_Maher 11463, Bob_Hope 7511, CBC_Television 11954, Canadian_Broadcasting_Corporation 5979, Carroll_O'Connor 10898, Chico 13160, Colin_Powell 10819, Councillor 3674, Culver_City 558, Dick_Cheney 11947, Episcopal_Church 5252, Gannett_Company 9795, George_H._W._Bush 13755, Gulf_War 5840, Jack_Benny 6434, Johnny_Carson 3499, Lucille_Ball 9945, McLean 5354, National_Film_Board_of_Canada 11019, Peabody_Award 1980, Presidential_Medal_of_Freedom 8005, Public_Broadcasting_Service 1366, Republican_Party 3594, Saddam_Hussein 12542, Soldier-GB 4039, Steve_Allen 14013, The_New_York_Times 9749, The_Tudors-GB 12910, United_States_Department_of_Defense 7451, Why_We_Fight src, edge_attr, dst 10137, influenced_by, 6434 10137, influenced_by, 4039 11463, participant, 3499 7511, award_winner, 11954 7511, program, 9749 11954, award_winner, 7511 11954, award_winner, 5354 11954, award_winner, 8005 11954, award_winner, 14013 11954, program, 9749 5979, place_of_death, 3674 10898, place, 10898 13160, company, 12910 13160, location, 9945 13160, profession, 12542 13160, religion, 11947 10819, jurisdiction_of_office, 10898 10819, jurisdiction_of_office, 3674 558, company, 12910 5252, citytown, 9945 9795, profession, 12542 9795, religion, 11947 13755, entity_involved, 13160 13755, entity_involved, 558 13755, entity_involved, 9795 13755, entity_involved, 3594 5840, participant, 3499 5840, place_of_burial, 3674 6434, influenced_by, 11463 6434, influenced_by, 5840 6434, influenced_by, 4039 3499, participant, 11463 3499, participant, 5840 5354, award_winner, 11954 11019, award_winner, 11463 11019, award_winner, 7511 11019, award_winner, 11954 11019, award_winner, 5979 11019, award_winner, 5252 11019, award_winner, 5840 11019, award_winner, 6434 11019, award_winner, 5354 11019, award_winner, 8005 11019, award_winner, 4039 11019, award_winner, 14013 1980, award_winner, 11463 1980, award_winner, 13160 1980, award_winner, 9795 1980, award_winner, 6434 8005, award_winner, 11954 8005, award_winner, 14013 1366, party_politician, 13160 1366, party_politician, 558 1366, party_politician, 9795 14013, award_winner, 8005 7451, award_honor_award, 11019 7451, award_winner, 7511 7451, award_winner, 11954 7451, person, 558 7451, person, 3594 Question: How are Chico, Gulf_War, and Peabody_Award related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Chico", "Gulf_War", "Peabody_Award" ], "valid_edges": [ [ "Bill_Maher", "influenced_by", "Johnny_Carson" ], [ "Bill_Maher", "influenced_by", "Steve_Allen" ], [ "Bob_Hope", "participant", "Lucille_Ball" ], [ "CBC_Television", "award_winner", "Canadian_Broadcasting_Corporation" ], [ "CBC_Television", "program", "The_Tudors-GB" ], [ "Canadian_Broadcasting_Corporation", "award_winner", "CBC_Television" ], [ "Canadian_Broadcasting_Corporation", "award_winner", "National_Film_Board_of_Canada" ], [ "Canadian_Broadcasting_Corporation", "award_winner", "Public_Broadcasting_Service" ], [ "Canadian_Broadcasting_Corporation", "award_winner", "The_New_York_Times" ], [ "Canadian_Broadcasting_Corporation", "program", "The_Tudors-GB" ], [ "Carroll_O'Connor", "place_of_death", "Culver_City" ], [ "Chico", "place", "Chico" ], [ "Colin_Powell", "company", "United_States_Department_of_Defense" ], [ "Colin_Powell", "location", "McLean" ], [ "Colin_Powell", "profession", "Soldier-GB" ], [ "Colin_Powell", "religion", "Episcopal_Church" ], [ "Councillor", "jurisdiction_of_office", "Chico" ], [ "Councillor", "jurisdiction_of_office", "Culver_City" ], [ "Dick_Cheney", "company", "United_States_Department_of_Defense" ], [ "Gannett_Company", "citytown", "McLean" ], [ "George_H._W._Bush", "profession", "Soldier-GB" ], [ "George_H._W._Bush", "religion", "Episcopal_Church" ], [ "Gulf_War", "entity_involved", "Colin_Powell" ], [ "Gulf_War", "entity_involved", "Dick_Cheney" ], [ "Gulf_War", "entity_involved", "George_H._W._Bush" ], [ "Gulf_War", "entity_involved", "Saddam_Hussein" ], [ "Jack_Benny", "participant", "Lucille_Ball" ], [ "Jack_Benny", "place_of_burial", "Culver_City" ], [ "Johnny_Carson", "influenced_by", "Bob_Hope" ], [ "Johnny_Carson", "influenced_by", "Jack_Benny" ], [ "Johnny_Carson", "influenced_by", "Steve_Allen" ], [ "Lucille_Ball", "participant", "Bob_Hope" ], [ "Lucille_Ball", "participant", "Jack_Benny" ], [ "National_Film_Board_of_Canada", "award_winner", "Canadian_Broadcasting_Corporation" ], [ "Peabody_Award", "award_winner", "Bob_Hope" ], [ "Peabody_Award", "award_winner", "CBC_Television" ], [ "Peabody_Award", "award_winner", "Canadian_Broadcasting_Corporation" ], [ "Peabody_Award", "award_winner", "Carroll_O'Connor" ], [ "Peabody_Award", "award_winner", "Gannett_Company" ], [ "Peabody_Award", "award_winner", "Jack_Benny" ], [ "Peabody_Award", "award_winner", "Johnny_Carson" ], [ "Peabody_Award", "award_winner", "National_Film_Board_of_Canada" ], [ "Peabody_Award", "award_winner", "Public_Broadcasting_Service" ], [ "Peabody_Award", "award_winner", "Steve_Allen" ], [ "Peabody_Award", "award_winner", "The_New_York_Times" ], [ "Presidential_Medal_of_Freedom", "award_winner", "Bob_Hope" ], [ "Presidential_Medal_of_Freedom", "award_winner", "Colin_Powell" ], [ "Presidential_Medal_of_Freedom", "award_winner", "George_H._W._Bush" ], [ "Presidential_Medal_of_Freedom", "award_winner", "Johnny_Carson" ], [ "Public_Broadcasting_Service", "award_winner", "Canadian_Broadcasting_Corporation" ], [ "Public_Broadcasting_Service", "award_winner", "The_New_York_Times" ], [ "Republican_Party", "party_politician", "Colin_Powell" ], [ "Republican_Party", "party_politician", "Dick_Cheney" ], [ "Republican_Party", "party_politician", "George_H._W._Bush" ], [ "The_New_York_Times", "award_winner", "Public_Broadcasting_Service" ], [ "Why_We_Fight", "award_honor_award", "Peabody_Award" ], [ "Why_We_Fight", "award_winner", "CBC_Television" ], [ "Why_We_Fight", "award_winner", "Canadian_Broadcasting_Corporation" ], [ "Why_We_Fight", "person", "Dick_Cheney" ], [ "Why_We_Fight", "person", "Saddam_Hussein" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 9710, A_Single_Man 3689, Chris_Weitz 9064, Drugstore_Cowboy 8512, F._Scott_Fitzgerald 10251, Independent_Spirit_Award_for_Best_Male_Lead 10832, James_LeGros 12406, Master_of_Philosophy 7709, Michael_Chabon 7718, The_Curious_Case_of_Benjamin_Button 12509, Trinity_College,_Cambridge 7609, University_of_California,_Irvine src, edge_attr, dst 9710, produced_by, 3689 3689, nominated_for, 9710 9064, award_honor_award, 10251 10251, nominated_for, 9710 10251, nominated_for, 9064 10832, acted_in, 9064 12406, institution, 12509 12406, institution, 7609 7709, influenced_by, 8512 7718, story_by, 8512 12509, educational_institution, 12509 12509, student, 3689 7609, student, 10832 7609, student, 7709 Question: In what context are Independent_Spirit_Award_for_Best_Male_Lead, Master_of_Philosophy, and The_Curious_Case_of_Benjamin_Button connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Independent_Spirit_Award_for_Best_Male_Lead", "Master_of_Philosophy", "The_Curious_Case_of_Benjamin_Button" ], "valid_edges": [ [ "A_Single_Man", "produced_by", "Chris_Weitz" ], [ "Chris_Weitz", "nominated_for", "A_Single_Man" ], [ "Drugstore_Cowboy", "award_honor_award", "Independent_Spirit_Award_for_Best_Male_Lead" ], [ "Independent_Spirit_Award_for_Best_Male_Lead", "nominated_for", "A_Single_Man" ], [ "Independent_Spirit_Award_for_Best_Male_Lead", "nominated_for", "Drugstore_Cowboy" ], [ "James_LeGros", "acted_in", "Drugstore_Cowboy" ], [ "Master_of_Philosophy", "institution", "Trinity_College,_Cambridge" ], [ "Master_of_Philosophy", "institution", "University_of_California,_Irvine" ], [ "Michael_Chabon", "influenced_by", "F._Scott_Fitzgerald" ], [ "The_Curious_Case_of_Benjamin_Button", "story_by", "F._Scott_Fitzgerald" ], [ "Trinity_College,_Cambridge", "educational_institution", "Trinity_College,_Cambridge" ], [ "Trinity_College,_Cambridge", "student", "Chris_Weitz" ], [ "University_of_California,_Irvine", "student", "James_LeGros" ], [ "University_of_California,_Irvine", "student", "Michael_Chabon" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 3270, 41st_Annual_Grammy_Awards 2905, 43rd_Annual_Grammy_Awards 13895, 49th_Annual_Grammy_Awards 11597, 51st_Annual_Grammy_Awards-US 4652, A.I._Artificial_Intelligence 7552, Alan_Bergman 11864, Amblin_Entertainment 6980, Amistad 3198, BFCA_Critics'_Choice_Award_for_Best_Composer 13653, Black_Swan 11376, Catch_Me_If_You_Can 8584, Dave_Grusin 2017, Deep_Impact 11485, E.T._the_Extra-Terrestrial 12751, Elizabeth_Banks 5511, Empire_of_the_Sun 2873, Fields_Medal 6809, Gladiator 7807, Government_College_University 2809, Grammy_Award_for_Best_Score_Soundtrack_for_Visual_Media 5493, Heather_Graham 6001, Henry_Mancini 3552, Hook 8057, JFK 5428, James_Horner 8346, John_Williams 12532, Jurassic_Park 10877, Lincoln 2350, Marilyn_Bergman 4262, Mark_Wahlberg 885, Martin_Sheen 7957, Mathematics 1594, Memoirs_of_a_Geisha 11928, Men_in_Black 13504, Men_in_Black_3 13796, Men_in_Black_II 5355, Minority_Report 1777, Munich 12782, Pakistan 3883, Pashto_language 11646, Randy_Newman 13300, Saving_Private_Ryan 5728, Small_Soldiers 723, The_Hunger_Games 6557, The_Mask_of_Zorro 8262, The_Terminal 9659, Thomas_Newman 1541, Twister 1640, University_of_California,_Los_Angeles 7587, University_of_Pennsylvania 1340, Walter_F._Parkes 11237, War_Horse 3281, War_of_the_Worlds 8959, White_American 306, William_H._Macy 819, Yale_University src, edge_attr, dst 3270, award_winner, 8346 2905, award_winner, 8346 13895, award_winner, 8346 11597, award_winner, 8346 4652, executive_produced_by, 1340 4652, film_music, 8346 4652, production_companies, 11864 7552, award, 2809 7552, award_nominee, 8346 6980, executive_produced_by, 1340 6980, film_music, 8346 3198, award_winner, 8346 3198, nominated_for, 4652 3198, nominated_for, 13653 3198, nominated_for, 11376 3198, nominated_for, 10877 3198, nominated_for, 1594 3198, nominated_for, 5355 3198, nominated_for, 13300 3198, nominated_for, 11237 13653, film_release_region, 12782 11376, award_winner, 8346 11376, film_music, 8346 11376, honored_for, 5355 11376, produced_by, 1340 11376, production_companies, 11864 8584, award, 2809 8584, award_winner, 8346 2017, executive_produced_by, 1340 2017, production_companies, 11864 11485, award_honor_award, 2809 11485, award_winner, 8346 11485, film_music, 8346 11485, production_companies, 11864 12751, acted_in, 11376 12751, award_nominee, 4262 12751, award_nominee, 306 12751, nominated_for, 723 5511, award_winner, 8346 5511, film_music, 8346 5511, production_companies, 11864 2873, disciplines_or_subjects, 7957 6809, award_honor_award, 3198 6809, executive_produced_by, 1340 7807, major_field_of_study, 7957 2809, award_winner, 8584 2809, award_winner, 6001 2809, award_winner, 5428 2809, award_winner, 8346 2809, award_winner, 2350 2809, award_winner, 11646 2809, award_winner, 9659 2809, ceremony, 3270 2809, ceremony, 2905 2809, ceremony, 13895 2809, ceremony, 11597 2809, nominated_for, 11376 5493, award_nominee, 885 3552, film_music, 8346 3552, production_companies, 11864 5428, award, 3198 5428, award, 2809 8346, award, 3198 8346, award, 2809 8346, award_nominee, 7552 8346, award_nominee, 2350 8346, award_winner, 8584 8346, award_winner, 6001 8346, award_winner, 11646 8346, nominated_for, 4652 8346, nominated_for, 6980 8346, nominated_for, 11376 8346, nominated_for, 11485 8346, nominated_for, 5511 8346, nominated_for, 8057 8346, nominated_for, 1594 8346, nominated_for, 5355 8346, nominated_for, 1777 8346, nominated_for, 13300 8346, nominated_for, 8262 8346, nominated_for, 11237 12532, film_music, 8346 12532, production_companies, 11864 10877, award_honor_award, 3198 10877, award_winner, 8346 10877, film_music, 8346 10877, production_companies, 11864 2350, award, 2809 4262, award_nominee, 12751 4262, award_nominee, 885 4262, award_winner, 885 885, acted_in, 11376 885, acted_in, 8057 885, award_nominee, 5493 1594, award_winner, 8346 1594, film_music, 8346 1594, production_companies, 11864 11928, produced_by, 1340 11928, production_companies, 11864 13504, film_release_region, 12782 13504, produced_by, 1340 13504, production_companies, 11864 13796, produced_by, 1340 13796, production_companies, 11864 5355, award_honor_award, 3198 5355, award_winner, 8346 5355, film_music, 8346 5355, honored_for, 11376 5355, nominated_for, 11376 5355, produced_by, 1340 5355, production_companies, 11864 1777, film_music, 8346 1777, production_companies, 11864 12782, contains, 7807 3883, countries_spoken_in, 12782 11646, award, 3198 11646, award, 2809 11646, award_winner, 8346 13300, award_honor_award, 3198 13300, film_music, 8346 13300, production_companies, 11864 5728, executive_produced_by, 1340 5728, production_companies, 11864 723, award_winner, 12751 723, film_release_region, 12782 6557, executive_produced_by, 1340 6557, production_companies, 11864 8262, award_winner, 8346 8262, film_music, 8346 8262, produced_by, 1340 8262, production_companies, 11864 9659, award, 3198 9659, award, 2809 1541, executive_produced_by, 1340 1541, production_companies, 11864 1640, major_field_of_study, 7957 1640, student, 8346 7587, major_field_of_study, 7957 7587, student, 12751 1340, nominated_for, 11928 11237, film_music, 8346 11237, production_companies, 11864 3281, film_music, 8346 3281, production_companies, 11864 8959, languages_spoken, 3883 8959, people, 5493 8959, people, 8346 8959, people, 306 306, award_nominee, 885 819, major_field_of_study, 7957 819, student, 1340 Question: In what context are Catch_Me_If_You_Can, Fields_Medal, and Pashto_language connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Catch_Me_If_You_Can", "Fields_Medal", "Pashto_language" ], "valid_edges": [ [ "41st_Annual_Grammy_Awards", "award_winner", "John_Williams" ], [ "43rd_Annual_Grammy_Awards", "award_winner", "John_Williams" ], [ "49th_Annual_Grammy_Awards", "award_winner", "John_Williams" ], [ "51st_Annual_Grammy_Awards-US", "award_winner", "John_Williams" ], [ "A.I._Artificial_Intelligence", "executive_produced_by", "Walter_F._Parkes" ], [ "A.I._Artificial_Intelligence", "film_music", "John_Williams" ], [ "A.I._Artificial_Intelligence", "production_companies", "Amblin_Entertainment" ], [ "Alan_Bergman", "award", "Grammy_Award_for_Best_Score_Soundtrack_for_Visual_Media" ], [ "Alan_Bergman", "award_nominee", "John_Williams" ], [ "Amistad", "executive_produced_by", "Walter_F._Parkes" ], [ "Amistad", "film_music", "John_Williams" ], [ "BFCA_Critics'_Choice_Award_for_Best_Composer", "award_winner", "John_Williams" ], [ "BFCA_Critics'_Choice_Award_for_Best_Composer", "nominated_for", "A.I._Artificial_Intelligence" ], [ "BFCA_Critics'_Choice_Award_for_Best_Composer", "nominated_for", "Black_Swan" ], [ "BFCA_Critics'_Choice_Award_for_Best_Composer", "nominated_for", "Catch_Me_If_You_Can" ], [ "BFCA_Critics'_Choice_Award_for_Best_Composer", "nominated_for", "Lincoln" ], [ "BFCA_Critics'_Choice_Award_for_Best_Composer", "nominated_for", "Memoirs_of_a_Geisha" ], [ "BFCA_Critics'_Choice_Award_for_Best_Composer", "nominated_for", "Minority_Report" ], [ "BFCA_Critics'_Choice_Award_for_Best_Composer", "nominated_for", "Saving_Private_Ryan" ], [ "BFCA_Critics'_Choice_Award_for_Best_Composer", "nominated_for", "War_Horse" ], [ "Black_Swan", "film_release_region", "Pakistan" ], [ "Catch_Me_If_You_Can", "award_winner", "John_Williams" ], [ "Catch_Me_If_You_Can", "film_music", "John_Williams" ], [ "Catch_Me_If_You_Can", "honored_for", "Minority_Report" ], [ "Catch_Me_If_You_Can", "produced_by", "Walter_F._Parkes" ], [ "Catch_Me_If_You_Can", "production_companies", "Amblin_Entertainment" ], [ "Dave_Grusin", "award", "Grammy_Award_for_Best_Score_Soundtrack_for_Visual_Media" ], [ "Dave_Grusin", "award_winner", "John_Williams" ], [ "Deep_Impact", "executive_produced_by", "Walter_F._Parkes" ], [ "Deep_Impact", "production_companies", "Amblin_Entertainment" ], [ "E.T._the_Extra-Terrestrial", "award_honor_award", "Grammy_Award_for_Best_Score_Soundtrack_for_Visual_Media" ], [ "E.T._the_Extra-Terrestrial", "award_winner", "John_Williams" ], [ "E.T._the_Extra-Terrestrial", "film_music", "John_Williams" ], [ "E.T._the_Extra-Terrestrial", "production_companies", "Amblin_Entertainment" ], [ "Elizabeth_Banks", "acted_in", "Catch_Me_If_You_Can" ], [ "Elizabeth_Banks", "award_nominee", "Mark_Wahlberg" ], [ "Elizabeth_Banks", "award_nominee", "William_H._Macy" ], [ "Elizabeth_Banks", "nominated_for", "The_Hunger_Games" ], [ "Empire_of_the_Sun", "award_winner", "John_Williams" ], [ "Empire_of_the_Sun", "film_music", "John_Williams" ], [ "Empire_of_the_Sun", "production_companies", "Amblin_Entertainment" ], [ "Fields_Medal", "disciplines_or_subjects", "Mathematics" ], [ "Gladiator", "award_honor_award", "BFCA_Critics'_Choice_Award_for_Best_Composer" ], [ "Gladiator", "executive_produced_by", "Walter_F._Parkes" ], [ "Government_College_University", "major_field_of_study", "Mathematics" ], [ "Grammy_Award_for_Best_Score_Soundtrack_for_Visual_Media", "award_winner", "Dave_Grusin" ], [ "Grammy_Award_for_Best_Score_Soundtrack_for_Visual_Media", "award_winner", "Henry_Mancini" ], [ "Grammy_Award_for_Best_Score_Soundtrack_for_Visual_Media", "award_winner", "James_Horner" ], [ "Grammy_Award_for_Best_Score_Soundtrack_for_Visual_Media", "award_winner", "John_Williams" ], [ "Grammy_Award_for_Best_Score_Soundtrack_for_Visual_Media", "award_winner", "Marilyn_Bergman" ], [ "Grammy_Award_for_Best_Score_Soundtrack_for_Visual_Media", "award_winner", "Randy_Newman" ], [ "Grammy_Award_for_Best_Score_Soundtrack_for_Visual_Media", "award_winner", "Thomas_Newman" ], [ "Grammy_Award_for_Best_Score_Soundtrack_for_Visual_Media", "ceremony", "41st_Annual_Grammy_Awards" ], [ "Grammy_Award_for_Best_Score_Soundtrack_for_Visual_Media", "ceremony", "43rd_Annual_Grammy_Awards" ], [ "Grammy_Award_for_Best_Score_Soundtrack_for_Visual_Media", "ceremony", "49th_Annual_Grammy_Awards" ], [ "Grammy_Award_for_Best_Score_Soundtrack_for_Visual_Media", "ceremony", "51st_Annual_Grammy_Awards-US" ], [ "Grammy_Award_for_Best_Score_Soundtrack_for_Visual_Media", "nominated_for", "Catch_Me_If_You_Can" ], [ "Heather_Graham", "award_nominee", "Martin_Sheen" ], [ "Hook", "film_music", "John_Williams" ], [ "Hook", "production_companies", "Amblin_Entertainment" ], [ "James_Horner", "award", "BFCA_Critics'_Choice_Award_for_Best_Composer" ], [ "James_Horner", "award", "Grammy_Award_for_Best_Score_Soundtrack_for_Visual_Media" ], [ "John_Williams", "award", "BFCA_Critics'_Choice_Award_for_Best_Composer" ], [ "John_Williams", "award", "Grammy_Award_for_Best_Score_Soundtrack_for_Visual_Media" ], [ "John_Williams", "award_nominee", "Alan_Bergman" ], [ "John_Williams", "award_nominee", "Marilyn_Bergman" ], [ "John_Williams", "award_winner", "Dave_Grusin" ], [ "John_Williams", "award_winner", "Henry_Mancini" ], [ "John_Williams", "award_winner", "Randy_Newman" ], [ "John_Williams", "nominated_for", "A.I._Artificial_Intelligence" ], [ "John_Williams", "nominated_for", "Amistad" ], [ "John_Williams", "nominated_for", "Catch_Me_If_You_Can" ], [ "John_Williams", "nominated_for", "E.T._the_Extra-Terrestrial" ], [ "John_Williams", "nominated_for", "Empire_of_the_Sun" ], [ "John_Williams", "nominated_for", "JFK" ], [ "John_Williams", "nominated_for", "Memoirs_of_a_Geisha" ], [ "John_Williams", "nominated_for", "Minority_Report" ], [ "John_Williams", "nominated_for", "Munich" ], [ "John_Williams", "nominated_for", "Saving_Private_Ryan" ], [ "John_Williams", "nominated_for", "The_Terminal" ], [ "John_Williams", "nominated_for", "War_Horse" ], [ "Jurassic_Park", "film_music", "John_Williams" ], [ "Jurassic_Park", "production_companies", "Amblin_Entertainment" ], [ "Lincoln", "award_honor_award", "BFCA_Critics'_Choice_Award_for_Best_Composer" ], [ "Lincoln", "award_winner", "John_Williams" ], [ "Lincoln", "film_music", "John_Williams" ], [ "Lincoln", "production_companies", "Amblin_Entertainment" ], [ "Marilyn_Bergman", "award", "Grammy_Award_for_Best_Score_Soundtrack_for_Visual_Media" ], [ "Mark_Wahlberg", "award_nominee", "Elizabeth_Banks" ], [ "Mark_Wahlberg", "award_nominee", "Martin_Sheen" ], [ "Mark_Wahlberg", "award_winner", "Martin_Sheen" ], [ "Martin_Sheen", "acted_in", "Catch_Me_If_You_Can" ], [ "Martin_Sheen", "acted_in", "JFK" ], [ "Martin_Sheen", "award_nominee", "Heather_Graham" ], [ "Memoirs_of_a_Geisha", "award_winner", "John_Williams" ], [ "Memoirs_of_a_Geisha", "film_music", "John_Williams" ], [ "Memoirs_of_a_Geisha", "production_companies", "Amblin_Entertainment" ], [ "Men_in_Black", "produced_by", "Walter_F._Parkes" ], [ "Men_in_Black", "production_companies", "Amblin_Entertainment" ], [ "Men_in_Black_3", "film_release_region", "Pakistan" ], [ "Men_in_Black_3", "produced_by", "Walter_F._Parkes" ], [ "Men_in_Black_3", "production_companies", "Amblin_Entertainment" ], [ "Men_in_Black_II", "produced_by", "Walter_F._Parkes" ], [ "Men_in_Black_II", "production_companies", "Amblin_Entertainment" ], [ "Minority_Report", "award_honor_award", "BFCA_Critics'_Choice_Award_for_Best_Composer" ], [ "Minority_Report", "award_winner", "John_Williams" ], [ "Minority_Report", "film_music", "John_Williams" ], [ "Minority_Report", "honored_for", "Catch_Me_If_You_Can" ], [ "Minority_Report", "nominated_for", "Catch_Me_If_You_Can" ], [ "Minority_Report", "produced_by", "Walter_F._Parkes" ], [ "Minority_Report", "production_companies", "Amblin_Entertainment" ], [ "Munich", "film_music", "John_Williams" ], [ "Munich", "production_companies", "Amblin_Entertainment" ], [ "Pakistan", "contains", "Government_College_University" ], [ "Pashto_language", "countries_spoken_in", "Pakistan" ], [ "Randy_Newman", "award", "BFCA_Critics'_Choice_Award_for_Best_Composer" ], [ "Randy_Newman", "award", "Grammy_Award_for_Best_Score_Soundtrack_for_Visual_Media" ], [ "Randy_Newman", "award_winner", "John_Williams" ], [ "Saving_Private_Ryan", "award_honor_award", "BFCA_Critics'_Choice_Award_for_Best_Composer" ], [ "Saving_Private_Ryan", "film_music", "John_Williams" ], [ "Saving_Private_Ryan", "production_companies", "Amblin_Entertainment" ], [ "Small_Soldiers", "executive_produced_by", "Walter_F._Parkes" ], [ "Small_Soldiers", "production_companies", "Amblin_Entertainment" ], [ "The_Hunger_Games", "award_winner", "Elizabeth_Banks" ], [ "The_Hunger_Games", "film_release_region", "Pakistan" ], [ "The_Mask_of_Zorro", "executive_produced_by", "Walter_F._Parkes" ], [ "The_Mask_of_Zorro", "production_companies", "Amblin_Entertainment" ], [ "The_Terminal", "award_winner", "John_Williams" ], [ "The_Terminal", "film_music", "John_Williams" ], [ "The_Terminal", "produced_by", "Walter_F._Parkes" ], [ "The_Terminal", "production_companies", "Amblin_Entertainment" ], [ "Thomas_Newman", "award", "BFCA_Critics'_Choice_Award_for_Best_Composer" ], [ "Thomas_Newman", "award", "Grammy_Award_for_Best_Score_Soundtrack_for_Visual_Media" ], [ "Twister", "executive_produced_by", "Walter_F._Parkes" ], [ "Twister", "production_companies", "Amblin_Entertainment" ], [ "University_of_California,_Los_Angeles", "major_field_of_study", "Mathematics" ], [ "University_of_California,_Los_Angeles", "student", "John_Williams" ], [ "University_of_Pennsylvania", "major_field_of_study", "Mathematics" ], [ "University_of_Pennsylvania", "student", "Elizabeth_Banks" ], [ "Walter_F._Parkes", "nominated_for", "Men_in_Black" ], [ "War_Horse", "film_music", "John_Williams" ], [ "War_Horse", "production_companies", "Amblin_Entertainment" ], [ "War_of_the_Worlds", "film_music", "John_Williams" ], [ "War_of_the_Worlds", "production_companies", "Amblin_Entertainment" ], [ "White_American", "languages_spoken", "Pashto_language" ], [ "White_American", "people", "Heather_Graham" ], [ "White_American", "people", "John_Williams" ], [ "White_American", "people", "William_H._Macy" ], [ "William_H._Macy", "award_nominee", "Martin_Sheen" ], [ "Yale_University", "major_field_of_study", "Mathematics" ], [ "Yale_University", "student", "Walter_F._Parkes" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 7050, 1995_Major_League_Baseball_Draft 2864, 1997_Major_League_Baseball_Draft 7286, 2000_Major_League_Baseball_season 7022, 2002_Major_League_Baseball_Draft 9417, 2003_Major_League_Baseball_Draft 4772, 2003_Major_League_Baseball_season 9239, 2004_Major_League_Baseball_season 433, 2005_Major_League_Baseball_season 10242, 2006_Major_League_Baseball_Draft 12160, 2006_Major_League_Baseball_season 12586, 2007_Major_League_Baseball_Draft 12383, 2007_Major_League_Baseball_season 6578, 2008_Major_League_Baseball_season 3644, Algeria 5744, Algeria_national_football_team 11394, Arabic_Language 7494, Baseball 5031, California_State_University,_Fullerton 14112, Catcher 1188, FC_Nantes 9193, Infielder 13800, Left_fielder 7143, Miami_Marlins 2432, National_League 4456, Outfielder 12747, Pitcher 4542, San_Francisco_Giants 414, Stephen_Root 6002, The_Path_to_9/11 221, University_of_Florida src, edge_attr, dst 3644, official_language, 11394 3644, teams, 5744 5744, current_club, 1188 11394, countries_spoken_in, 3644 14112, team, 7143 14112, team, 4542 9193, team, 7143 9193, team, 4542 13800, team, 7143 13800, team, 4542 7143, draft, 7050 7143, draft, 2864 7143, draft, 7022 7143, draft, 9417 7143, draft, 10242 7143, draft, 12586 7143, position, 14112 7143, position, 9193 7143, position, 4456 7143, position, 12747 7143, school, 5031 7143, school, 221 7143, season, 7286 7143, season, 4772 7143, season, 9239 7143, season, 433 7143, season, 12160 7143, season, 12383 7143, season, 6578 7143, sport, 7494 2432, team, 7143 2432, team, 4542 4456, team, 7143 4456, team, 4542 12747, team, 7143 12747, team, 4542 4542, draft, 7050 4542, draft, 2864 4542, draft, 7022 4542, draft, 9417 4542, draft, 10242 4542, draft, 12586 4542, position, 14112 4542, position, 9193 4542, position, 13800 4542, position, 4456 4542, position, 12747 4542, school, 5031 4542, season, 7286 4542, season, 4772 4542, season, 9239 4542, season, 433 4542, season, 12160 4542, season, 12383 4542, season, 6578 4542, sport, 7494 414, acted_in, 6002 6002, actor, 414 6002, language, 11394 221, student, 414 Question: In what context are FC_Nantes, Left_fielder, and The_Path_to_9/11 connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "FC_Nantes", "Left_fielder", "The_Path_to_9/11" ], "valid_edges": [ [ "Algeria", "official_language", "Arabic_Language" ], [ "Algeria", "teams", "Algeria_national_football_team" ], [ "Algeria_national_football_team", "current_club", "FC_Nantes" ], [ "Arabic_Language", "countries_spoken_in", "Algeria" ], [ "Catcher", "team", "Miami_Marlins" ], [ "Catcher", "team", "San_Francisco_Giants" ], [ "Infielder", "team", "Miami_Marlins" ], [ "Infielder", "team", "San_Francisco_Giants" ], [ "Left_fielder", "team", "Miami_Marlins" ], [ "Left_fielder", "team", "San_Francisco_Giants" ], [ "Miami_Marlins", "draft", "1995_Major_League_Baseball_Draft" ], [ "Miami_Marlins", "draft", "1997_Major_League_Baseball_Draft" ], [ "Miami_Marlins", "draft", "2002_Major_League_Baseball_Draft" ], [ "Miami_Marlins", "draft", "2003_Major_League_Baseball_Draft" ], [ "Miami_Marlins", "draft", "2006_Major_League_Baseball_Draft" ], [ "Miami_Marlins", "draft", "2007_Major_League_Baseball_Draft" ], [ "Miami_Marlins", "position", "Catcher" ], [ "Miami_Marlins", "position", "Infielder" ], [ "Miami_Marlins", "position", "Outfielder" ], [ "Miami_Marlins", "position", "Pitcher" ], [ "Miami_Marlins", "school", "California_State_University,_Fullerton" ], [ "Miami_Marlins", "school", "University_of_Florida" ], [ "Miami_Marlins", "season", "2000_Major_League_Baseball_season" ], [ "Miami_Marlins", "season", "2003_Major_League_Baseball_season" ], [ "Miami_Marlins", "season", "2004_Major_League_Baseball_season" ], [ "Miami_Marlins", "season", "2005_Major_League_Baseball_season" ], [ "Miami_Marlins", "season", "2006_Major_League_Baseball_season" ], [ "Miami_Marlins", "season", "2007_Major_League_Baseball_season" ], [ "Miami_Marlins", "season", "2008_Major_League_Baseball_season" ], [ "Miami_Marlins", "sport", "Baseball" ], [ "National_League", "team", "Miami_Marlins" ], [ "National_League", "team", "San_Francisco_Giants" ], [ "Outfielder", "team", "Miami_Marlins" ], [ "Outfielder", "team", "San_Francisco_Giants" ], [ "Pitcher", "team", "Miami_Marlins" ], [ "Pitcher", "team", "San_Francisco_Giants" ], [ "San_Francisco_Giants", "draft", "1995_Major_League_Baseball_Draft" ], [ "San_Francisco_Giants", "draft", "1997_Major_League_Baseball_Draft" ], [ "San_Francisco_Giants", "draft", "2002_Major_League_Baseball_Draft" ], [ "San_Francisco_Giants", "draft", "2003_Major_League_Baseball_Draft" ], [ "San_Francisco_Giants", "draft", "2006_Major_League_Baseball_Draft" ], [ "San_Francisco_Giants", "draft", "2007_Major_League_Baseball_Draft" ], [ "San_Francisco_Giants", "position", "Catcher" ], [ "San_Francisco_Giants", "position", "Infielder" ], [ "San_Francisco_Giants", "position", "Left_fielder" ], [ "San_Francisco_Giants", "position", "Outfielder" ], [ "San_Francisco_Giants", "position", "Pitcher" ], [ "San_Francisco_Giants", "school", "California_State_University,_Fullerton" ], [ "San_Francisco_Giants", "season", "2000_Major_League_Baseball_season" ], [ "San_Francisco_Giants", "season", "2003_Major_League_Baseball_season" ], [ "San_Francisco_Giants", "season", "2004_Major_League_Baseball_season" ], [ "San_Francisco_Giants", "season", "2005_Major_League_Baseball_season" ], [ "San_Francisco_Giants", "season", "2006_Major_League_Baseball_season" ], [ "San_Francisco_Giants", "season", "2007_Major_League_Baseball_season" ], [ "San_Francisco_Giants", "season", "2008_Major_League_Baseball_season" ], [ "San_Francisco_Giants", "sport", "Baseball" ], [ "Stephen_Root", "acted_in", "The_Path_to_9/11" ], [ "The_Path_to_9/11", "actor", "Stephen_Root" ], [ "The_Path_to_9/11", "language", "Arabic_Language" ], [ "University_of_Florida", "student", "Stephen_Root" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 5336, Angola 5996, Azerbaijan 12708, Barnsley_F.C. 9174, Beef 5695, Canoe_Sprint 8481, Kevin_Betsy 12361, Montenegro 3832, Myanmar 4869, Republic 1802, Senegal 4310, Seychelles 2413, Sri_Lanka 3760, Tunisia 2869, Uzbekistan 11776, Water src, edge_attr, dst 5336, form_of_government, 4869 5996, form_of_government, 4869 9174, food_nutrient, 11776 5695, country, 5336 5695, country, 5996 5695, country, 12361 5695, country, 3832 5695, country, 1802 5695, country, 4310 5695, country, 3760 5695, country, 2869 8481, nationality, 4310 8481, team, 12708 12361, form_of_government, 4869 3832, form_of_government, 4869 1802, form_of_government, 4869 4310, form_of_government, 4869 2413, form_of_government, 4869 3760, form_of_government, 4869 2869, form_of_government, 4869 11776, featured_film_locations, 2413 Question: How are Barnsley_F.C., Beef, and Montenegro related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Barnsley_F.C.", "Beef", "Montenegro" ], "valid_edges": [ [ "Angola", "form_of_government", "Republic" ], [ "Azerbaijan", "form_of_government", "Republic" ], [ "Beef", "food_nutrient", "Water" ], [ "Canoe_Sprint", "country", "Angola" ], [ "Canoe_Sprint", "country", "Azerbaijan" ], [ "Canoe_Sprint", "country", "Montenegro" ], [ "Canoe_Sprint", "country", "Myanmar" ], [ "Canoe_Sprint", "country", "Senegal" ], [ "Canoe_Sprint", "country", "Seychelles" ], [ "Canoe_Sprint", "country", "Tunisia" ], [ "Canoe_Sprint", "country", "Uzbekistan" ], [ "Kevin_Betsy", "nationality", "Seychelles" ], [ "Kevin_Betsy", "team", "Barnsley_F.C." ], [ "Montenegro", "form_of_government", "Republic" ], [ "Myanmar", "form_of_government", "Republic" ], [ "Senegal", "form_of_government", "Republic" ], [ "Seychelles", "form_of_government", "Republic" ], [ "Sri_Lanka", "form_of_government", "Republic" ], [ "Tunisia", "form_of_government", "Republic" ], [ "Uzbekistan", "form_of_government", "Republic" ], [ "Water", "featured_film_locations", "Sri_Lanka" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 2905, 43rd_Annual_Grammy_Awards 7209, 46th_Annual_Grammy_Awards 5273, 50th_Annual_Grammy_Awards-US 4840, A_Star_Is_Born 7552, Alan_Bergman 10174, Anna_Karenina 14126, Argo 236, Artist-GB 13421, BAFTA_Award_for_Best_Film_Music 12395, Bandleader 11901, Beauty_and_the_Beast 11081, Big_Fish 11497, Billy_Preston 11622, Blues 10426, Bob_Dylan 3768, Bulgaria 3101, Bulgaria_national_football_team 10502, Cloud_Atlas 2604, Country 12447, Earl_Scruggs 1499, Eric_Clapton 4490, Film_score 237, Folk_music 7837, George_Fenton 14084, George_Harrison 9986, Golden_Globe_Award_for_Best_Original_Score 5499, Gospel_music 10490, Grammy_Award_for_Album_of_the_Year 1878, Grammy_Award_for_Best_Country_Collaboration_with_Vocals 123, Grammy_Award_for_Best_Country_Instrumental_Performance 389, Grammy_Award_for_Best_Country_Performance_by_a_Duo_or_Group_with_Vocal 12456, Grammy_Award_for_Best_Male_Country_Vocal_Performance 13185, Grammy_Award_for_Best_Pop_Collaboration_with_Vocals 134, Grammy_Award_for_Best_Pop_Instrumental_Performance 3441, Grammy_Award_for_Best_World_Music_Album 8007, Grammy_Award_for_Record_of_the_Year 9569, Grammy_Award_for_Song_of_the_Year 6954, Guitarist-GB 9353, Harold_Faltermeyer 3308, Inception 8346, John_Williams 13464, Johnny_Cash 12454, Klaus_Voormann 5312, L.A._Confidential 13958, Leon_Russell 13967, Life_of_Pi 3535, Marty_Stuart 3802, Merle_Haggard 10399, Michael_Kamen 649, Paul_Williams 3497, Phil_Spector 4003, Philip_Glass 2611, Ravi_Shankar 13136, Ricky_Skaggs 5876, Ringo_Starr 149, Ry_Cooder 1976, Session_musician 13722, Star_Wars_Episode_IV:_A_New_Hope 5209, The_Artist 5178, The_Lord_of_the_Rings:_The_Fellowship_of_the_Ring 11982, The_Lord_of_the_Rings:_The_Return_of_the_King 1715, The_Social_Network 9659, Thomas_Newman 6514, Vince_Gill 7034, Willie_Nelson src, edge_attr, dst 2905, award_winner, 1499 2905, award_winner, 8346 2905, award_winner, 13464 2905, award_winner, 10399 2905, award_winner, 13136 2905, award_winner, 9659 7209, award_winner, 13464 7209, award_winner, 13136 7209, award_winner, 149 7209, award_winner, 6514 5273, award_winner, 13464 5273, award_winner, 13136 5273, award_winner, 6514 4840, award_honor_award, 9986 4840, film_music, 13958 7552, award, 9986 7552, award_nominee, 13958 10174, film_release_region, 3768 14126, film_release_region, 3768 11901, award_honor_award, 9986 11901, film_release_region, 3768 11081, film_release_region, 3768 11497, award_nominee, 13958 11497, award_nominee, 2611 11497, award_winner, 13958 11622, artists, 13464 11622, artists, 149 10426, award_nominee, 13958 10426, award_nominee, 2611 10426, award_winner, 13958 3768, teams, 3101 10502, film_release_region, 3768 2604, artists, 10426 2604, artists, 12447 2604, artists, 13464 2604, artists, 13958 2604, artists, 3535 2604, artists, 3802 2604, artists, 13136 2604, artists, 149 2604, artists, 6514 2604, artists, 7034 2604, parent_genre, 11622 12447, award, 1878 12447, award, 123 12447, award_nominee, 3535 12447, award_nominee, 3802 12447, award_winner, 13958 12447, award_winner, 3802 12447, award_winner, 6514 12447, nominated_for, 13958 12447, nominated_for, 3535 12447, nominated_for, 6514 1499, award_nominee, 2611 1499, award_winner, 2611 4490, artists, 2611 4490, artists, 149 237, artists, 13464 237, artists, 13958 237, artists, 13136 237, artists, 149 7837, award, 9986 7837, award_nominee, 2611 14084, award_nominee, 13958 14084, award_nominee, 2611 14084, award_winner, 13958 14084, award_winner, 2611 9986, award_winner, 8346 9986, award_winner, 4003 9986, disciplines_or_subjects, 4490 9986, nominated_for, 4840 9986, nominated_for, 10174 9986, nominated_for, 14126 9986, nominated_for, 11081 9986, nominated_for, 10502 9986, nominated_for, 3308 9986, nominated_for, 5312 9986, nominated_for, 13967 9986, nominated_for, 5178 9986, nominated_for, 1715 5499, artists, 11497 5499, artists, 10426 5499, artists, 12447 5499, artists, 13464 5499, artists, 3535 5499, artists, 13136 5499, artists, 149 10490, award_winner, 13958 10490, award_winner, 2611 10490, ceremony, 2905 1878, award_winner, 12447 1878, award_winner, 3535 1878, award_winner, 3802 1878, award_winner, 13136 1878, award_winner, 6514 1878, award_winner, 7034 1878, ceremony, 2905 1878, ceremony, 7209 1878, ceremony, 5273 123, award_winner, 12447 123, award_winner, 13958 123, award_winner, 3535 123, award_winner, 13136 123, award_winner, 6514 123, ceremony, 2905 123, ceremony, 7209 123, ceremony, 5273 123, nominated_for, 12447 123, nominated_for, 13958 123, nominated_for, 3535 389, ceremony, 2905 12456, award_winner, 13464 12456, award_winner, 3802 12456, award_winner, 6514 12456, ceremony, 2905 13185, ceremony, 2905 134, ceremony, 2905 3441, award_winner, 2611 3441, award_winner, 149 3441, ceremony, 2905 8007, ceremony, 2905 9569, ceremony, 2905 9353, award, 9986 9353, award, 123 3308, film_release_region, 3768 8346, award, 9986 13464, award, 10490 13464, award, 1878 13464, award, 389 13464, award, 13185 13464, award, 8007 13464, award_nominee, 3535 13464, award_nominee, 13136 13464, award_nominee, 7034 12454, award_nominee, 13958 12454, award_nominee, 2611 12454, award_winner, 13958 12454, award_winner, 2611 5312, film_release_region, 3768 13958, award, 13421 13958, award, 389 13958, award, 13185 13958, award, 9569 13958, award_nominee, 11497 13958, award_nominee, 10426 13958, award_nominee, 1499 13958, award_nominee, 14084 13958, award_nominee, 12454 13958, award_nominee, 2611 13958, award_nominee, 5876 13958, award_winner, 10426 13958, award_winner, 12447 13958, award_winner, 1499 13958, award_winner, 14084 13958, award_winner, 12454 13958, award_winner, 3535 13958, award_winner, 3497 13958, award_winner, 2611 13958, award_winner, 6514 13958, nominated_for, 4840 13958, nominated_for, 12447 13958, nominated_for, 3535 13958, nominated_for, 6514 13958, profession, 1976 13967, award_honor_award, 9986 13967, film_release_region, 3768 3535, award, 9986 3535, award, 1878 3535, award, 123 3535, award_nominee, 12447 3535, award_nominee, 13464 3535, award_nominee, 3802 3535, award_nominee, 13136 3535, award_winner, 12447 3535, award_winner, 13958 3535, award_winner, 3802 3535, award_winner, 13136 3535, award_winner, 6514 3535, nominated_for, 12447 3535, nominated_for, 6514 3802, award, 1878 3802, award, 389 3802, award_nominee, 3535 3802, award_nominee, 13136 3802, award_nominee, 7034 3802, award_winner, 12447 3802, award_winner, 3535 3802, award_winner, 13136 3802, profession, 6954 10399, award, 9986 649, award, 9986 649, award_nominee, 13958 3497, award_nominee, 2611 3497, award_winner, 13958 3497, award_winner, 2611 4003, award, 9986 4003, influenced_by, 2611 2611, award, 13421 2611, award, 3441 2611, award_nominee, 10426 2611, award_nominee, 1499 2611, award_nominee, 7837 2611, award_nominee, 14084 2611, award_nominee, 13958 2611, award_nominee, 3497 2611, award_winner, 11497 2611, award_winner, 1499 2611, award_winner, 14084 2611, award_winner, 12454 2611, award_winner, 13958 2611, award_winner, 3497 2611, award_winner, 5876 13136, award, 389 13136, award, 12456 13136, award_nominee, 12447 13136, award_nominee, 13464 13136, award_nominee, 3535 13136, award_nominee, 3802 13136, award_winner, 3535 13136, award_winner, 3802 13136, award_winner, 6514 13136, profession, 236 13136, profession, 12395 13136, profession, 1976 5876, award, 1878 5876, award_nominee, 13958 5876, award_nominee, 2611 5876, award_winner, 13958 5876, award_winner, 2611 149, award, 13421 149, award, 134 149, profession, 12395 149, profession, 6954 149, profession, 1976 13722, award_honor_award, 9986 13722, film_release_region, 3768 5209, award_honor_award, 9986 5209, film_release_region, 3768 5178, film_release_region, 3768 11982, award_honor_award, 9986 11982, film_release_region, 3768 1715, award_honor_award, 9986 1715, film_release_region, 3768 9659, award, 9986 6514, award, 10490 6514, award, 1878 6514, award, 123 6514, award, 12456 6514, award_winner, 12447 6514, award_winner, 13958 6514, award_winner, 13136 6514, nominated_for, 12447 6514, nominated_for, 13958 6514, nominated_for, 3535 6514, profession, 236 6514, profession, 6954 7034, award, 1878 7034, award_nominee, 13464 7034, award_nominee, 13958 7034, award_nominee, 3802 Question: For what reason are Bulgaria_national_football_team, Grammy_Award_for_Best_World_Music_Album, and Marty_Stuart associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Bulgaria_national_football_team", "Grammy_Award_for_Best_World_Music_Album", "Marty_Stuart" ], "valid_edges": [ [ "43rd_Annual_Grammy_Awards", "award_winner", "Eric_Clapton" ], [ "43rd_Annual_Grammy_Awards", "award_winner", "John_Williams" ], [ "43rd_Annual_Grammy_Awards", "award_winner", "Johnny_Cash" ], [ "43rd_Annual_Grammy_Awards", "award_winner", "Michael_Kamen" ], [ "43rd_Annual_Grammy_Awards", "award_winner", "Ricky_Skaggs" ], [ "43rd_Annual_Grammy_Awards", "award_winner", "Thomas_Newman" ], [ "46th_Annual_Grammy_Awards", "award_winner", "Johnny_Cash" ], [ "46th_Annual_Grammy_Awards", "award_winner", "Ricky_Skaggs" ], [ "46th_Annual_Grammy_Awards", "award_winner", "Ry_Cooder" ], [ "46th_Annual_Grammy_Awards", "award_winner", "Vince_Gill" ], [ "50th_Annual_Grammy_Awards-US", "award_winner", "Johnny_Cash" ], [ "50th_Annual_Grammy_Awards-US", "award_winner", "Ricky_Skaggs" ], [ "50th_Annual_Grammy_Awards-US", "award_winner", "Vince_Gill" ], [ "A_Star_Is_Born", "award_honor_award", "Golden_Globe_Award_for_Best_Original_Score" ], [ "A_Star_Is_Born", "film_music", "Leon_Russell" ], [ "Alan_Bergman", "award", "Golden_Globe_Award_for_Best_Original_Score" ], [ "Alan_Bergman", "award_nominee", "Leon_Russell" ], [ "Anna_Karenina", "film_release_region", "Bulgaria" ], [ "Argo", "film_release_region", "Bulgaria" ], [ "Beauty_and_the_Beast", "award_honor_award", "Golden_Globe_Award_for_Best_Original_Score" ], [ "Beauty_and_the_Beast", "film_release_region", "Bulgaria" ], [ "Big_Fish", "film_release_region", "Bulgaria" ], [ "Billy_Preston", "award_nominee", "Leon_Russell" ], [ "Billy_Preston", "award_nominee", "Ravi_Shankar" ], [ "Billy_Preston", "award_winner", "Leon_Russell" ], [ "Blues", "artists", "Johnny_Cash" ], [ "Blues", "artists", "Ry_Cooder" ], [ "Bob_Dylan", "award_nominee", "Leon_Russell" ], [ "Bob_Dylan", "award_nominee", "Ravi_Shankar" ], [ "Bob_Dylan", "award_winner", "Leon_Russell" ], [ "Bulgaria", "teams", "Bulgaria_national_football_team" ], [ "Cloud_Atlas", "film_release_region", "Bulgaria" ], [ "Country", "artists", "Bob_Dylan" ], [ "Country", "artists", "Earl_Scruggs" ], [ "Country", "artists", "Johnny_Cash" ], [ "Country", "artists", "Leon_Russell" ], [ "Country", "artists", "Marty_Stuart" ], [ "Country", "artists", "Merle_Haggard" ], [ "Country", "artists", "Ricky_Skaggs" ], [ "Country", "artists", "Ry_Cooder" ], [ "Country", "artists", "Vince_Gill" ], [ "Country", "artists", "Willie_Nelson" ], [ "Country", "parent_genre", "Blues" ], [ "Earl_Scruggs", "award", "Grammy_Award_for_Best_Country_Collaboration_with_Vocals" ], [ "Earl_Scruggs", "award", "Grammy_Award_for_Best_Country_Instrumental_Performance" ], [ "Earl_Scruggs", "award_nominee", "Marty_Stuart" ], [ "Earl_Scruggs", "award_nominee", "Merle_Haggard" ], [ "Earl_Scruggs", "award_winner", "Leon_Russell" ], [ "Earl_Scruggs", "award_winner", "Merle_Haggard" ], [ "Earl_Scruggs", "award_winner", "Vince_Gill" ], [ "Earl_Scruggs", "nominated_for", "Leon_Russell" ], [ "Earl_Scruggs", "nominated_for", "Marty_Stuart" ], [ "Earl_Scruggs", "nominated_for", "Vince_Gill" ], [ "Eric_Clapton", "award_nominee", "Ravi_Shankar" ], [ "Eric_Clapton", "award_winner", "Ravi_Shankar" ], [ "Film_score", "artists", "Ravi_Shankar" ], [ "Film_score", "artists", "Ry_Cooder" ], [ "Folk_music", "artists", "Johnny_Cash" ], [ "Folk_music", "artists", "Leon_Russell" ], [ "Folk_music", "artists", "Ricky_Skaggs" ], [ "Folk_music", "artists", "Ry_Cooder" ], [ "George_Fenton", "award", "Golden_Globe_Award_for_Best_Original_Score" ], [ "George_Fenton", "award_nominee", "Ravi_Shankar" ], [ "George_Harrison", "award_nominee", "Leon_Russell" ], [ "George_Harrison", "award_nominee", "Ravi_Shankar" ], [ "George_Harrison", "award_winner", "Leon_Russell" ], [ "George_Harrison", "award_winner", "Ravi_Shankar" ], [ "Golden_Globe_Award_for_Best_Original_Score", "award_winner", "John_Williams" ], [ "Golden_Globe_Award_for_Best_Original_Score", "award_winner", "Philip_Glass" ], [ "Golden_Globe_Award_for_Best_Original_Score", "disciplines_or_subjects", "Film_score" ], [ "Golden_Globe_Award_for_Best_Original_Score", "nominated_for", "A_Star_Is_Born" ], [ "Golden_Globe_Award_for_Best_Original_Score", "nominated_for", "Anna_Karenina" ], [ "Golden_Globe_Award_for_Best_Original_Score", "nominated_for", "Argo" ], [ "Golden_Globe_Award_for_Best_Original_Score", "nominated_for", "Big_Fish" ], [ "Golden_Globe_Award_for_Best_Original_Score", "nominated_for", "Cloud_Atlas" ], [ "Golden_Globe_Award_for_Best_Original_Score", "nominated_for", "Inception" ], [ "Golden_Globe_Award_for_Best_Original_Score", "nominated_for", "L.A._Confidential" ], [ "Golden_Globe_Award_for_Best_Original_Score", "nominated_for", "Life_of_Pi" ], [ "Golden_Globe_Award_for_Best_Original_Score", "nominated_for", "The_Lord_of_the_Rings:_The_Fellowship_of_the_Ring" ], [ "Golden_Globe_Award_for_Best_Original_Score", "nominated_for", "The_Social_Network" ], [ "Gospel_music", "artists", "Billy_Preston" ], [ "Gospel_music", "artists", "Bob_Dylan" ], [ "Gospel_music", "artists", "Earl_Scruggs" ], [ "Gospel_music", "artists", "Johnny_Cash" ], [ "Gospel_music", "artists", "Marty_Stuart" ], [ "Gospel_music", "artists", "Ricky_Skaggs" ], [ "Gospel_music", "artists", "Ry_Cooder" ], [ "Grammy_Award_for_Album_of_the_Year", "award_winner", "Leon_Russell" ], [ "Grammy_Award_for_Album_of_the_Year", "award_winner", "Ravi_Shankar" ], [ "Grammy_Award_for_Album_of_the_Year", "ceremony", "43rd_Annual_Grammy_Awards" ], [ "Grammy_Award_for_Best_Country_Collaboration_with_Vocals", "award_winner", "Earl_Scruggs" ], [ "Grammy_Award_for_Best_Country_Collaboration_with_Vocals", "award_winner", "Marty_Stuart" ], [ "Grammy_Award_for_Best_Country_Collaboration_with_Vocals", "award_winner", "Merle_Haggard" ], [ "Grammy_Award_for_Best_Country_Collaboration_with_Vocals", "award_winner", "Ricky_Skaggs" ], [ "Grammy_Award_for_Best_Country_Collaboration_with_Vocals", "award_winner", "Vince_Gill" ], [ "Grammy_Award_for_Best_Country_Collaboration_with_Vocals", "award_winner", "Willie_Nelson" ], [ "Grammy_Award_for_Best_Country_Collaboration_with_Vocals", "ceremony", "43rd_Annual_Grammy_Awards" ], [ "Grammy_Award_for_Best_Country_Collaboration_with_Vocals", "ceremony", "46th_Annual_Grammy_Awards" ], [ "Grammy_Award_for_Best_Country_Collaboration_with_Vocals", "ceremony", "50th_Annual_Grammy_Awards-US" ], [ "Grammy_Award_for_Best_Country_Instrumental_Performance", "award_winner", "Earl_Scruggs" ], [ "Grammy_Award_for_Best_Country_Instrumental_Performance", "award_winner", "Leon_Russell" ], [ "Grammy_Award_for_Best_Country_Instrumental_Performance", "award_winner", "Marty_Stuart" ], [ "Grammy_Award_for_Best_Country_Instrumental_Performance", "award_winner", "Ricky_Skaggs" ], [ "Grammy_Award_for_Best_Country_Instrumental_Performance", "award_winner", "Vince_Gill" ], [ "Grammy_Award_for_Best_Country_Instrumental_Performance", "ceremony", "43rd_Annual_Grammy_Awards" ], [ "Grammy_Award_for_Best_Country_Instrumental_Performance", "ceremony", "46th_Annual_Grammy_Awards" ], [ "Grammy_Award_for_Best_Country_Instrumental_Performance", "ceremony", "50th_Annual_Grammy_Awards-US" ], [ "Grammy_Award_for_Best_Country_Instrumental_Performance", "nominated_for", "Earl_Scruggs" ], [ "Grammy_Award_for_Best_Country_Instrumental_Performance", "nominated_for", "Leon_Russell" ], [ "Grammy_Award_for_Best_Country_Instrumental_Performance", "nominated_for", "Marty_Stuart" ], [ "Grammy_Award_for_Best_Country_Performance_by_a_Duo_or_Group_with_Vocal", "ceremony", "43rd_Annual_Grammy_Awards" ], [ "Grammy_Award_for_Best_Male_Country_Vocal_Performance", "award_winner", "Johnny_Cash" ], [ "Grammy_Award_for_Best_Male_Country_Vocal_Performance", "award_winner", "Merle_Haggard" ], [ "Grammy_Award_for_Best_Male_Country_Vocal_Performance", "award_winner", "Vince_Gill" ], [ "Grammy_Award_for_Best_Male_Country_Vocal_Performance", "ceremony", "43rd_Annual_Grammy_Awards" ], [ "Grammy_Award_for_Best_Pop_Collaboration_with_Vocals", "ceremony", "43rd_Annual_Grammy_Awards" ], [ "Grammy_Award_for_Best_Pop_Instrumental_Performance", "ceremony", "43rd_Annual_Grammy_Awards" ], [ "Grammy_Award_for_Best_World_Music_Album", "award_winner", "Ravi_Shankar" ], [ "Grammy_Award_for_Best_World_Music_Album", "award_winner", "Ry_Cooder" ], [ "Grammy_Award_for_Best_World_Music_Album", "ceremony", "43rd_Annual_Grammy_Awards" ], [ "Grammy_Award_for_Record_of_the_Year", "ceremony", "43rd_Annual_Grammy_Awards" ], [ "Grammy_Award_for_Song_of_the_Year", "ceremony", "43rd_Annual_Grammy_Awards" ], [ "Harold_Faltermeyer", "award", "Golden_Globe_Award_for_Best_Original_Score" ], [ "Harold_Faltermeyer", "award", "Grammy_Award_for_Best_Country_Instrumental_Performance" ], [ "Inception", "film_release_region", "Bulgaria" ], [ "John_Williams", "award", "Golden_Globe_Award_for_Best_Original_Score" ], [ "Johnny_Cash", "award", "Grammy_Award_for_Album_of_the_Year" ], [ "Johnny_Cash", "award", "Grammy_Award_for_Best_Country_Collaboration_with_Vocals" ], [ "Johnny_Cash", "award", "Grammy_Award_for_Best_Country_Performance_by_a_Duo_or_Group_with_Vocal" ], [ "Johnny_Cash", "award", "Grammy_Award_for_Best_Pop_Collaboration_with_Vocals" ], [ "Johnny_Cash", "award", "Grammy_Award_for_Record_of_the_Year" ], [ "Johnny_Cash", "award_nominee", "Marty_Stuart" ], [ "Johnny_Cash", "award_nominee", "Ricky_Skaggs" ], [ "Johnny_Cash", "award_nominee", "Willie_Nelson" ], [ "Klaus_Voormann", "award_nominee", "Leon_Russell" ], [ "Klaus_Voormann", "award_nominee", "Ravi_Shankar" ], [ "Klaus_Voormann", "award_winner", "Leon_Russell" ], [ "Klaus_Voormann", "award_winner", "Ravi_Shankar" ], [ "L.A._Confidential", "film_release_region", "Bulgaria" ], [ "Leon_Russell", "award", "BAFTA_Award_for_Best_Film_Music" ], [ "Leon_Russell", "award", "Grammy_Award_for_Best_Country_Performance_by_a_Duo_or_Group_with_Vocal" ], [ "Leon_Russell", "award", "Grammy_Award_for_Best_Pop_Collaboration_with_Vocals" ], [ "Leon_Russell", "award", "Grammy_Award_for_Song_of_the_Year" ], [ "Leon_Russell", "award_nominee", "Billy_Preston" ], [ "Leon_Russell", "award_nominee", "Bob_Dylan" ], [ "Leon_Russell", "award_nominee", "Eric_Clapton" ], [ "Leon_Russell", "award_nominee", "George_Harrison" ], [ "Leon_Russell", "award_nominee", "Klaus_Voormann" ], [ "Leon_Russell", "award_nominee", "Ravi_Shankar" ], [ "Leon_Russell", "award_nominee", "Ringo_Starr" ], [ "Leon_Russell", "award_winner", "Bob_Dylan" ], [ "Leon_Russell", "award_winner", "Earl_Scruggs" ], [ "Leon_Russell", "award_winner", "Eric_Clapton" ], [ "Leon_Russell", "award_winner", "George_Harrison" ], [ "Leon_Russell", "award_winner", "Klaus_Voormann" ], [ "Leon_Russell", "award_winner", "Marty_Stuart" ], [ "Leon_Russell", "award_winner", "Phil_Spector" ], [ "Leon_Russell", "award_winner", "Ravi_Shankar" ], [ "Leon_Russell", "award_winner", "Vince_Gill" ], [ "Leon_Russell", "nominated_for", "A_Star_Is_Born" ], [ "Leon_Russell", "nominated_for", "Earl_Scruggs" ], [ "Leon_Russell", "nominated_for", "Marty_Stuart" ], [ "Leon_Russell", "nominated_for", "Vince_Gill" ], [ "Leon_Russell", "profession", "Session_musician" ], [ "Life_of_Pi", "award_honor_award", "Golden_Globe_Award_for_Best_Original_Score" ], [ "Life_of_Pi", "film_release_region", "Bulgaria" ], [ "Marty_Stuart", "award", "Golden_Globe_Award_for_Best_Original_Score" ], [ "Marty_Stuart", "award", "Grammy_Award_for_Best_Country_Collaboration_with_Vocals" ], [ "Marty_Stuart", "award", "Grammy_Award_for_Best_Country_Instrumental_Performance" ], [ "Marty_Stuart", "award_nominee", "Earl_Scruggs" ], [ "Marty_Stuart", "award_nominee", "Johnny_Cash" ], [ "Marty_Stuart", "award_nominee", "Merle_Haggard" ], [ "Marty_Stuart", "award_nominee", "Ricky_Skaggs" ], [ "Marty_Stuart", "award_winner", "Earl_Scruggs" ], [ "Marty_Stuart", "award_winner", "Leon_Russell" ], [ "Marty_Stuart", "award_winner", "Merle_Haggard" ], [ "Marty_Stuart", "award_winner", "Ricky_Skaggs" ], [ "Marty_Stuart", "award_winner", "Vince_Gill" ], [ "Marty_Stuart", "nominated_for", "Earl_Scruggs" ], [ "Marty_Stuart", "nominated_for", "Vince_Gill" ], [ "Merle_Haggard", "award", "Grammy_Award_for_Best_Country_Collaboration_with_Vocals" ], [ "Merle_Haggard", "award", "Grammy_Award_for_Best_Country_Performance_by_a_Duo_or_Group_with_Vocal" ], [ "Merle_Haggard", "award_nominee", "Marty_Stuart" ], [ "Merle_Haggard", "award_nominee", "Ricky_Skaggs" ], [ "Merle_Haggard", "award_nominee", "Willie_Nelson" ], [ "Merle_Haggard", "award_winner", "Earl_Scruggs" ], [ "Merle_Haggard", "award_winner", "Marty_Stuart" ], [ "Merle_Haggard", "award_winner", "Ricky_Skaggs" ], [ "Merle_Haggard", "profession", "Guitarist-GB" ], [ "Michael_Kamen", "award", "Golden_Globe_Award_for_Best_Original_Score" ], [ "Paul_Williams", "award", "Golden_Globe_Award_for_Best_Original_Score" ], [ "Paul_Williams", "award_nominee", "Leon_Russell" ], [ "Phil_Spector", "award_nominee", "Ravi_Shankar" ], [ "Phil_Spector", "award_winner", "Leon_Russell" ], [ "Phil_Spector", "award_winner", "Ravi_Shankar" ], [ "Philip_Glass", "award", "Golden_Globe_Award_for_Best_Original_Score" ], [ "Philip_Glass", "influenced_by", "Ravi_Shankar" ], [ "Ravi_Shankar", "award", "BAFTA_Award_for_Best_Film_Music" ], [ "Ravi_Shankar", "award", "Grammy_Award_for_Best_World_Music_Album" ], [ "Ravi_Shankar", "award_nominee", "Bob_Dylan" ], [ "Ravi_Shankar", "award_nominee", "Eric_Clapton" ], [ "Ravi_Shankar", "award_nominee", "George_Fenton" ], [ "Ravi_Shankar", "award_nominee", "George_Harrison" ], [ "Ravi_Shankar", "award_nominee", "Leon_Russell" ], [ "Ravi_Shankar", "award_nominee", "Phil_Spector" ], [ "Ravi_Shankar", "award_winner", "Billy_Preston" ], [ "Ravi_Shankar", "award_winner", "Eric_Clapton" ], [ "Ravi_Shankar", "award_winner", "George_Harrison" ], [ "Ravi_Shankar", "award_winner", "Klaus_Voormann" ], [ "Ravi_Shankar", "award_winner", "Leon_Russell" ], [ "Ravi_Shankar", "award_winner", "Phil_Spector" ], [ "Ravi_Shankar", "award_winner", "Ringo_Starr" ], [ "Ricky_Skaggs", "award", "Grammy_Award_for_Best_Country_Performance_by_a_Duo_or_Group_with_Vocal" ], [ "Ricky_Skaggs", "award", "Grammy_Award_for_Best_Male_Country_Vocal_Performance" ], [ "Ricky_Skaggs", "award_nominee", "Earl_Scruggs" ], [ "Ricky_Skaggs", "award_nominee", "Johnny_Cash" ], [ "Ricky_Skaggs", "award_nominee", "Marty_Stuart" ], [ "Ricky_Skaggs", "award_nominee", "Merle_Haggard" ], [ "Ricky_Skaggs", "award_winner", "Marty_Stuart" ], [ "Ricky_Skaggs", "award_winner", "Merle_Haggard" ], [ "Ricky_Skaggs", "award_winner", "Vince_Gill" ], [ "Ricky_Skaggs", "profession", "Artist-GB" ], [ "Ricky_Skaggs", "profession", "Bandleader" ], [ "Ricky_Skaggs", "profession", "Session_musician" ], [ "Ringo_Starr", "award", "Grammy_Award_for_Best_Country_Collaboration_with_Vocals" ], [ "Ringo_Starr", "award_nominee", "Leon_Russell" ], [ "Ringo_Starr", "award_nominee", "Ravi_Shankar" ], [ "Ringo_Starr", "award_winner", "Leon_Russell" ], [ "Ringo_Starr", "award_winner", "Ravi_Shankar" ], [ "Ry_Cooder", "award", "BAFTA_Award_for_Best_Film_Music" ], [ "Ry_Cooder", "award", "Grammy_Award_for_Best_Pop_Instrumental_Performance" ], [ "Ry_Cooder", "profession", "Bandleader" ], [ "Ry_Cooder", "profession", "Guitarist-GB" ], [ "Ry_Cooder", "profession", "Session_musician" ], [ "Star_Wars_Episode_IV:_A_New_Hope", "award_honor_award", "Golden_Globe_Award_for_Best_Original_Score" ], [ "Star_Wars_Episode_IV:_A_New_Hope", "film_release_region", "Bulgaria" ], [ "The_Artist", "award_honor_award", "Golden_Globe_Award_for_Best_Original_Score" ], [ "The_Artist", "film_release_region", "Bulgaria" ], [ "The_Lord_of_the_Rings:_The_Fellowship_of_the_Ring", "film_release_region", "Bulgaria" ], [ "The_Lord_of_the_Rings:_The_Return_of_the_King", "award_honor_award", "Golden_Globe_Award_for_Best_Original_Score" ], [ "The_Lord_of_the_Rings:_The_Return_of_the_King", "film_release_region", "Bulgaria" ], [ "The_Social_Network", "award_honor_award", "Golden_Globe_Award_for_Best_Original_Score" ], [ "The_Social_Network", "film_release_region", "Bulgaria" ], [ "Thomas_Newman", "award", "Golden_Globe_Award_for_Best_Original_Score" ], [ "Vince_Gill", "award", "Grammy_Award_for_Album_of_the_Year" ], [ "Vince_Gill", "award", "Grammy_Award_for_Best_Country_Collaboration_with_Vocals" ], [ "Vince_Gill", "award", "Grammy_Award_for_Best_Country_Instrumental_Performance" ], [ "Vince_Gill", "award", "Grammy_Award_for_Best_Male_Country_Vocal_Performance" ], [ "Vince_Gill", "award_winner", "Earl_Scruggs" ], [ "Vince_Gill", "award_winner", "Leon_Russell" ], [ "Vince_Gill", "award_winner", "Ricky_Skaggs" ], [ "Vince_Gill", "nominated_for", "Earl_Scruggs" ], [ "Vince_Gill", "nominated_for", "Leon_Russell" ], [ "Vince_Gill", "nominated_for", "Marty_Stuart" ], [ "Vince_Gill", "profession", "Artist-GB" ], [ "Vince_Gill", "profession", "Guitarist-GB" ], [ "Willie_Nelson", "award", "Grammy_Award_for_Best_Country_Collaboration_with_Vocals" ], [ "Willie_Nelson", "award_nominee", "Johnny_Cash" ], [ "Willie_Nelson", "award_nominee", "Leon_Russell" ], [ "Willie_Nelson", "award_nominee", "Merle_Haggard" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 583, 46th_Academy_Awards 2885, Chris_Newman 100, Joshua_Logan 3324, Om_Shivpuri 7676, Oscar_Hammerstein_II 2009, Ray_Walston 9763, Sophie's_Choice 11127, South_Pacific 14004, The_Sting 6117, Theatre_Director src, edge_attr, dst 583, award_winner, 2885 583, honored_for, 14004 100, film, 11127 100, profession, 6117 3324, profession, 6117 7676, profession, 6117 2009, acted_in, 11127 2009, acted_in, 14004 9763, crewmember, 2885 11127, story_by, 100 11127, story_by, 7676 Question: How are Om_Shivpuri, Ray_Walston, and Sophie's_Choice related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Om_Shivpuri", "Ray_Walston", "Sophie's_Choice" ], "valid_edges": [ [ "46th_Academy_Awards", "award_winner", "Chris_Newman" ], [ "46th_Academy_Awards", "honored_for", "The_Sting" ], [ "Joshua_Logan", "film", "South_Pacific" ], [ "Joshua_Logan", "profession", "Theatre_Director" ], [ "Om_Shivpuri", "profession", "Theatre_Director" ], [ "Oscar_Hammerstein_II", "profession", "Theatre_Director" ], [ "Ray_Walston", "acted_in", "South_Pacific" ], [ "Ray_Walston", "acted_in", "The_Sting" ], [ "Sophie's_Choice", "crewmember", "Chris_Newman" ], [ "South_Pacific", "story_by", "Joshua_Logan" ], [ "South_Pacific", "story_by", "Oscar_Hammerstein_II" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 13341, All_About_Steve 1723, Asian_American 12962, Cary-Hiroyuki_Tagawa 5488, Christophe_Beck 11484, Diabetes_mellitus 6430, Elektra 11965, Japanese_American 12031, Mako_Iwamatsu 5964, Ted_Field 6898, Waylon_Jennings src, edge_attr, dst 13341, executive_produced_by, 5964 13341, film_music, 5488 1723, people, 12962 1723, people, 12031 12962, acted_in, 6430 11484, people, 6898 11484, risk_factors, 1723 6430, film_music, 5488 11965, people, 12962 11965, people, 12031 Question: For what reason are Cary-Hiroyuki_Tagawa, Ted_Field, and Waylon_Jennings associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Cary-Hiroyuki_Tagawa", "Ted_Field", "Waylon_Jennings" ], "valid_edges": [ [ "All_About_Steve", "executive_produced_by", "Ted_Field" ], [ "All_About_Steve", "film_music", "Christophe_Beck" ], [ "Asian_American", "people", "Cary-Hiroyuki_Tagawa" ], [ "Asian_American", "people", "Mako_Iwamatsu" ], [ "Cary-Hiroyuki_Tagawa", "acted_in", "Elektra" ], [ "Diabetes_mellitus", "people", "Waylon_Jennings" ], [ "Diabetes_mellitus", "risk_factors", "Asian_American" ], [ "Elektra", "film_music", "Christophe_Beck" ], [ "Japanese_American", "people", "Cary-Hiroyuki_Tagawa" ], [ "Japanese_American", "people", "Mako_Iwamatsu" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 9468, 100th_United_States_Congress 10647, 101st_United_States_Congress 3887, 102nd_United_States_Congress 7474, 103rd_United_States_Congress 75, 104th_United_States_Congress 616, 105th_United_States_Congress 13998, 106th_United_States_Congress 11768, 107th_United_States_Congress 825, Alabama 1241, Arizona_State_University 10196, Daniel_Inouye 1491, David_Spade 11712, Florence 56, John_Hughes 8366, Julie_Bowen 4883, Kingdom_of_Italy 4953, Lansing 303, Matthew_Lillard 14102, Medal_of_Honor 7662, Methodism 6082, Rose_McGowan 13871, Sergeant_York 8688, World_War_I src, edge_attr, dst 9468, district_represented, 825 10647, district_represented, 825 3887, district_represented, 825 7474, district_represented, 825 75, district_represented, 825 616, district_represented, 825 13998, district_represented, 825 11768, district_represented, 825 825, contains, 11712 825, religion, 7662 1241, student, 1491 1241, student, 56 10196, legislative_sessions, 9468 10196, legislative_sessions, 10647 10196, legislative_sessions, 3887 10196, legislative_sessions, 7474 10196, legislative_sessions, 75 10196, legislative_sessions, 616 10196, legislative_sessions, 13998 10196, legislative_sessions, 11768 10196, religion, 7662 1491, participant, 8366 11712, place, 11712 56, location, 4953 56, nominated_for, 13871 8366, location, 11712 8366, participant, 1491 4883, capital, 11712 4953, place, 4953 303, place_of_birth, 4953 14102, award_winner, 10196 6082, participant, 303 6082, place_of_birth, 11712 8688, combatants, 4883 8688, films, 13871 Question: In what context are Florence, John_Hughes, and Medal_of_Honor connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Florence", "John_Hughes", "Medal_of_Honor" ], "valid_edges": [ [ "100th_United_States_Congress", "district_represented", "Alabama" ], [ "101st_United_States_Congress", "district_represented", "Alabama" ], [ "102nd_United_States_Congress", "district_represented", "Alabama" ], [ "103rd_United_States_Congress", "district_represented", "Alabama" ], [ "104th_United_States_Congress", "district_represented", "Alabama" ], [ "105th_United_States_Congress", "district_represented", "Alabama" ], [ "106th_United_States_Congress", "district_represented", "Alabama" ], [ "107th_United_States_Congress", "district_represented", "Alabama" ], [ "Alabama", "contains", "Florence" ], [ "Alabama", "religion", "Methodism" ], [ "Arizona_State_University", "student", "David_Spade" ], [ "Arizona_State_University", "student", "John_Hughes" ], [ "Daniel_Inouye", "legislative_sessions", "100th_United_States_Congress" ], [ "Daniel_Inouye", "legislative_sessions", "101st_United_States_Congress" ], [ "Daniel_Inouye", "legislative_sessions", "102nd_United_States_Congress" ], [ "Daniel_Inouye", "legislative_sessions", "103rd_United_States_Congress" ], [ "Daniel_Inouye", "legislative_sessions", "104th_United_States_Congress" ], [ "Daniel_Inouye", "legislative_sessions", "105th_United_States_Congress" ], [ "Daniel_Inouye", "legislative_sessions", "106th_United_States_Congress" ], [ "Daniel_Inouye", "legislative_sessions", "107th_United_States_Congress" ], [ "Daniel_Inouye", "religion", "Methodism" ], [ "David_Spade", "participant", "Julie_Bowen" ], [ "Florence", "place", "Florence" ], [ "John_Hughes", "location", "Lansing" ], [ "John_Hughes", "nominated_for", "Sergeant_York" ], [ "Julie_Bowen", "location", "Florence" ], [ "Julie_Bowen", "participant", "David_Spade" ], [ "Kingdom_of_Italy", "capital", "Florence" ], [ "Lansing", "place", "Lansing" ], [ "Matthew_Lillard", "place_of_birth", "Lansing" ], [ "Medal_of_Honor", "award_winner", "Daniel_Inouye" ], [ "Rose_McGowan", "participant", "Matthew_Lillard" ], [ "Rose_McGowan", "place_of_birth", "Florence" ], [ "World_War_I", "combatants", "Kingdom_of_Italy" ], [ "World_War_I", "films", "Sergeant_York" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 6673, 113th_United_States_Congress 2931, Albert_Einstein 8983, David_Hilbert 10710, Dmitri_Shostakovich 5040, Isaac_Newton 10649, Kansas 6738, Leonhard_Euler 6863, Mathematician 5276, Nikolai_Rimsky-Korsakov 5503, Opera 4522, Saint_Petersburg 9323, Scientist-GB 2787, Wichita_State_University src, edge_attr, dst 6673, district_represented, 10649 2931, influenced_by, 5040 2931, peers, 8983 2931, profession, 6863 2931, profession, 9323 8983, peers, 2931 8983, profession, 6863 10710, location, 4522 10710, place_of_birth, 4522 5040, profession, 6863 10649, contains, 2787 6738, place_of_death, 4522 6738, profession, 6863 6863, specialization_of, 9323 5276, place_of_death, 4522 5503, artists, 10710 5503, artists, 5276 2787, major_field_of_study, 5503 2787, state_province_region, 10649 Question: How are 113th_United_States_Congress, David_Hilbert, and Nikolai_Rimsky-Korsakov related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "113th_United_States_Congress", "David_Hilbert", "Nikolai_Rimsky-Korsakov" ], "valid_edges": [ [ "113th_United_States_Congress", "district_represented", "Kansas" ], [ "Albert_Einstein", "influenced_by", "Isaac_Newton" ], [ "Albert_Einstein", "peers", "David_Hilbert" ], [ "Albert_Einstein", "profession", "Mathematician" ], [ "Albert_Einstein", "profession", "Scientist-GB" ], [ "David_Hilbert", "peers", "Albert_Einstein" ], [ "David_Hilbert", "profession", "Mathematician" ], [ "Dmitri_Shostakovich", "location", "Saint_Petersburg" ], [ "Dmitri_Shostakovich", "place_of_birth", "Saint_Petersburg" ], [ "Isaac_Newton", "profession", "Mathematician" ], [ "Kansas", "contains", "Wichita_State_University" ], [ "Leonhard_Euler", "place_of_death", "Saint_Petersburg" ], [ "Leonhard_Euler", "profession", "Mathematician" ], [ "Mathematician", "specialization_of", "Scientist-GB" ], [ "Nikolai_Rimsky-Korsakov", "place_of_death", "Saint_Petersburg" ], [ "Opera", "artists", "Dmitri_Shostakovich" ], [ "Opera", "artists", "Nikolai_Rimsky-Korsakov" ], [ "Wichita_State_University", "major_field_of_study", "Opera" ], [ "Wichita_State_University", "state_province_region", "Kansas" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 7340, Anthropology 10896, Applied_mathematics 3923, Architecture 470, Art 14052, Astronomy 379, Biochemistry 6134, Biology 8484, Business 1413, Chemical_Engineering 10961, Chemistry 14001, Communication 11492, Computer_Engineering 11116, Computer_Science 7293, Criminology 6191, Dance-GB 10757, Doctorate 7942, Ecology 1412, Economic_history 10882, Economics 2367, Education 3085, Engineering-GB 9145, English_Literature 4354, Evolution 9178, Finance 4570, Folklore 9285, Geology 3059, Government 4806, History 11380, Industrial_engineering 8529, International_relations 12442, Law 614, Library_of_Congress_Classification 13390, Linguistics 9252, Literature 6457, Management 2261, Marketing-GB 7568, Master's_Degree 422, Master_of_Arts 7957, Mathematics 8705, Mechanical_Engineering 8615, Medicine 10225, Music 3241, Noam_Chomsky 6677, Panjab_University,_Chandigarh 7193, Pennsylvania 12196, Philosophy 12536, Physics 2248, Political_Science 9721, Political_philosophy 5284, Psychology 8821, Public_administration 1398, Public_health 12740, Renewable_energy 2154, Richard_Rorty 6051, Social_science 1719, Sociology 11406, Statistics 2010, Topology 7587, University_of_Pennsylvania 3277, William_Henry_Harrison src, edge_attr, dst 7340, taxonomy, 614 10896, taxonomy, 614 3923, taxonomy, 614 470, taxonomy, 614 14052, taxonomy, 614 379, taxonomy, 614 6134, taxonomy, 614 8484, taxonomy, 614 1413, taxonomy, 614 10961, taxonomy, 614 11492, taxonomy, 614 11116, taxonomy, 614 7293, taxonomy, 614 6191, taxonomy, 614 10757, institution, 6677 10757, institution, 7587 10757, major_field_of_study, 7340 10757, major_field_of_study, 10896 10757, major_field_of_study, 3923 10757, major_field_of_study, 470 10757, major_field_of_study, 14052 10757, major_field_of_study, 379 10757, major_field_of_study, 6134 10757, major_field_of_study, 8484 10757, major_field_of_study, 1413 10757, major_field_of_study, 10961 10757, major_field_of_study, 14001 10757, major_field_of_study, 11492 10757, major_field_of_study, 11116 10757, major_field_of_study, 7293 10757, major_field_of_study, 6191 10757, major_field_of_study, 7942 10757, major_field_of_study, 1412 10757, major_field_of_study, 10882 10757, major_field_of_study, 2367 10757, major_field_of_study, 3085 10757, major_field_of_study, 9145 10757, major_field_of_study, 4354 10757, major_field_of_study, 9178 10757, major_field_of_study, 4570 10757, major_field_of_study, 9285 10757, major_field_of_study, 3059 10757, major_field_of_study, 4806 10757, major_field_of_study, 11380 10757, major_field_of_study, 8529 10757, major_field_of_study, 12442 10757, major_field_of_study, 13390 10757, major_field_of_study, 9252 10757, major_field_of_study, 6457 10757, major_field_of_study, 2261 10757, major_field_of_study, 7957 10757, major_field_of_study, 8705 10757, major_field_of_study, 8615 10757, major_field_of_study, 10225 10757, major_field_of_study, 12196 10757, major_field_of_study, 12536 10757, major_field_of_study, 2248 10757, major_field_of_study, 9721 10757, major_field_of_study, 5284 10757, major_field_of_study, 8821 10757, major_field_of_study, 1398 10757, major_field_of_study, 6051 10757, major_field_of_study, 1719 10757, major_field_of_study, 11406 10757, major_field_of_study, 2010 10757, student, 3241 10757, student, 2154 7942, taxonomy, 614 1412, taxonomy, 614 10882, taxonomy, 614 2367, taxonomy, 614 3085, taxonomy, 614 9145, taxonomy, 614 4354, taxonomy, 614 9178, taxonomy, 614 4570, taxonomy, 614 9285, taxonomy, 614 3059, taxonomy, 614 4806, taxonomy, 614 11380, taxonomy, 614 8529, taxonomy, 614 12442, taxonomy, 614 13390, taxonomy, 614 9252, taxonomy, 614 2261, taxonomy, 614 7568, institution, 6677 7568, institution, 7587 7568, major_field_of_study, 7340 7568, major_field_of_study, 10896 7568, major_field_of_study, 3923 7568, major_field_of_study, 470 7568, major_field_of_study, 6134 7568, major_field_of_study, 8484 7568, major_field_of_study, 1413 7568, major_field_of_study, 10961 7568, major_field_of_study, 14001 7568, major_field_of_study, 11492 7568, major_field_of_study, 11116 7568, major_field_of_study, 7293 7568, major_field_of_study, 7942 7568, major_field_of_study, 10882 7568, major_field_of_study, 2367 7568, major_field_of_study, 3085 7568, major_field_of_study, 9145 7568, major_field_of_study, 9178 7568, major_field_of_study, 9285 7568, major_field_of_study, 3059 7568, major_field_of_study, 4806 7568, major_field_of_study, 11380 7568, major_field_of_study, 8529 7568, major_field_of_study, 12442 7568, major_field_of_study, 13390 7568, major_field_of_study, 9252 7568, major_field_of_study, 6457 7568, major_field_of_study, 2261 7568, major_field_of_study, 7957 7568, major_field_of_study, 8705 7568, major_field_of_study, 8615 7568, major_field_of_study, 10225 7568, major_field_of_study, 12196 7568, major_field_of_study, 12536 7568, major_field_of_study, 2248 7568, major_field_of_study, 5284 7568, major_field_of_study, 8821 7568, major_field_of_study, 1398 7568, major_field_of_study, 6051 7568, major_field_of_study, 1719 7568, major_field_of_study, 11406 422, institution, 6677 422, institution, 7587 422, major_field_of_study, 7340 422, major_field_of_study, 10896 422, major_field_of_study, 3923 422, major_field_of_study, 470 422, major_field_of_study, 14052 422, major_field_of_study, 379 422, major_field_of_study, 6134 422, major_field_of_study, 10961 422, major_field_of_study, 14001 422, major_field_of_study, 11116 422, major_field_of_study, 10882 422, major_field_of_study, 2367 422, major_field_of_study, 9145 422, major_field_of_study, 9178 422, major_field_of_study, 9285 422, major_field_of_study, 3059 422, major_field_of_study, 4806 422, major_field_of_study, 8529 422, major_field_of_study, 12442 422, major_field_of_study, 13390 422, major_field_of_study, 9252 422, major_field_of_study, 6457 422, major_field_of_study, 2261 422, major_field_of_study, 7957 422, major_field_of_study, 8705 422, major_field_of_study, 12196 422, major_field_of_study, 12536 422, major_field_of_study, 2248 422, major_field_of_study, 9721 422, major_field_of_study, 5284 422, major_field_of_study, 8821 422, major_field_of_study, 1398 422, major_field_of_study, 6051 422, major_field_of_study, 1719 422, major_field_of_study, 11406 422, student, 3241 422, student, 2154 7957, taxonomy, 614 8705, taxonomy, 614 8615, taxonomy, 614 10225, taxonomy, 614 7193, contains, 7587 7193, taxonomy, 614 12196, taxonomy, 614 12536, taxonomy, 614 2248, taxonomy, 614 9721, taxonomy, 614 5284, taxonomy, 614 8821, taxonomy, 614 1398, taxonomy, 614 12740, taxonomy, 614 6051, taxonomy, 614 1719, taxonomy, 614 11406, taxonomy, 614 2010, taxonomy, 614 7587, campuses, 7587 7587, major_field_of_study, 7340 7587, major_field_of_study, 10896 7587, major_field_of_study, 3923 7587, major_field_of_study, 6134 7587, major_field_of_study, 10961 7587, major_field_of_study, 14001 7587, major_field_of_study, 11116 7587, major_field_of_study, 10882 7587, major_field_of_study, 3085 7587, major_field_of_study, 9145 7587, major_field_of_study, 4570 7587, major_field_of_study, 4806 7587, major_field_of_study, 8529 7587, major_field_of_study, 13390 7587, major_field_of_study, 6457 7587, major_field_of_study, 7957 7587, major_field_of_study, 8705 7587, major_field_of_study, 12196 7587, major_field_of_study, 12536 7587, major_field_of_study, 2248 7587, major_field_of_study, 5284 7587, major_field_of_study, 1719 7587, student, 3241 7587, student, 3277 3277, taxonomy, 614 Question: How are Mechanical_Engineering, Renewable_energy, and Richard_Rorty related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Mechanical_Engineering", "Renewable_energy", "Richard_Rorty" ], "valid_edges": [ [ "Anthropology", "taxonomy", "Library_of_Congress_Classification" ], [ "Applied_mathematics", "taxonomy", "Library_of_Congress_Classification" ], [ "Architecture", "taxonomy", "Library_of_Congress_Classification" ], [ "Art", "taxonomy", "Library_of_Congress_Classification" ], [ "Astronomy", "taxonomy", "Library_of_Congress_Classification" ], [ "Biochemistry", "taxonomy", "Library_of_Congress_Classification" ], [ "Biology", "taxonomy", "Library_of_Congress_Classification" ], [ "Business", "taxonomy", "Library_of_Congress_Classification" ], [ "Chemical_Engineering", "taxonomy", "Library_of_Congress_Classification" ], [ "Chemistry", "taxonomy", "Library_of_Congress_Classification" ], [ "Computer_Engineering", "taxonomy", "Library_of_Congress_Classification" ], [ "Computer_Science", "taxonomy", "Library_of_Congress_Classification" ], [ "Criminology", "taxonomy", "Library_of_Congress_Classification" ], [ "Dance-GB", "taxonomy", "Library_of_Congress_Classification" ], [ "Doctorate", "institution", "Panjab_University,_Chandigarh" ], [ "Doctorate", "institution", "University_of_Pennsylvania" ], [ "Doctorate", "major_field_of_study", "Anthropology" ], [ "Doctorate", "major_field_of_study", "Applied_mathematics" ], [ "Doctorate", "major_field_of_study", "Architecture" ], [ "Doctorate", "major_field_of_study", "Art" ], [ "Doctorate", "major_field_of_study", "Astronomy" ], [ "Doctorate", "major_field_of_study", "Biochemistry" ], [ "Doctorate", "major_field_of_study", "Biology" ], [ "Doctorate", "major_field_of_study", "Business" ], [ "Doctorate", "major_field_of_study", "Chemical_Engineering" ], [ "Doctorate", "major_field_of_study", "Chemistry" ], [ "Doctorate", "major_field_of_study", "Communication" ], [ "Doctorate", "major_field_of_study", "Computer_Engineering" ], [ "Doctorate", "major_field_of_study", "Computer_Science" ], [ "Doctorate", "major_field_of_study", "Criminology" ], [ "Doctorate", "major_field_of_study", "Dance-GB" ], [ "Doctorate", "major_field_of_study", "Ecology" ], [ "Doctorate", "major_field_of_study", "Economic_history" ], [ "Doctorate", "major_field_of_study", "Economics" ], [ "Doctorate", "major_field_of_study", "Education" ], [ "Doctorate", "major_field_of_study", "Engineering-GB" ], [ "Doctorate", "major_field_of_study", "English_Literature" ], [ "Doctorate", "major_field_of_study", "Evolution" ], [ "Doctorate", "major_field_of_study", "Finance" ], [ "Doctorate", "major_field_of_study", "Folklore" ], [ "Doctorate", "major_field_of_study", "Geology" ], [ "Doctorate", "major_field_of_study", "Government" ], [ "Doctorate", "major_field_of_study", "History" ], [ "Doctorate", "major_field_of_study", "Industrial_engineering" ], [ "Doctorate", "major_field_of_study", "International_relations" ], [ "Doctorate", "major_field_of_study", "Law" ], [ "Doctorate", "major_field_of_study", "Linguistics" ], [ "Doctorate", "major_field_of_study", "Literature" ], [ "Doctorate", "major_field_of_study", "Management" ], [ "Doctorate", "major_field_of_study", "Marketing-GB" ], [ "Doctorate", "major_field_of_study", "Mathematics" ], [ "Doctorate", "major_field_of_study", "Mechanical_Engineering" ], [ "Doctorate", "major_field_of_study", "Medicine" ], [ "Doctorate", "major_field_of_study", "Music" ], [ "Doctorate", "major_field_of_study", "Philosophy" ], [ "Doctorate", "major_field_of_study", "Physics" ], [ "Doctorate", "major_field_of_study", "Political_Science" ], [ "Doctorate", "major_field_of_study", "Political_philosophy" ], [ "Doctorate", "major_field_of_study", "Psychology" ], [ "Doctorate", "major_field_of_study", "Public_administration" ], [ "Doctorate", "major_field_of_study", "Public_health" ], [ "Doctorate", "major_field_of_study", "Social_science" ], [ "Doctorate", "major_field_of_study", "Sociology" ], [ "Doctorate", "major_field_of_study", "Statistics" ], [ "Doctorate", "major_field_of_study", "Topology" ], [ "Doctorate", "student", "Noam_Chomsky" ], [ "Doctorate", "student", "Richard_Rorty" ], [ "Ecology", "taxonomy", "Library_of_Congress_Classification" ], [ "Economic_history", "taxonomy", "Library_of_Congress_Classification" ], [ "Economics", "taxonomy", "Library_of_Congress_Classification" ], [ "Education", "taxonomy", "Library_of_Congress_Classification" ], [ "Engineering-GB", "taxonomy", "Library_of_Congress_Classification" ], [ "English_Literature", "taxonomy", "Library_of_Congress_Classification" ], [ "Evolution", "taxonomy", "Library_of_Congress_Classification" ], [ "Finance", "taxonomy", "Library_of_Congress_Classification" ], [ "Folklore", "taxonomy", "Library_of_Congress_Classification" ], [ "Geology", "taxonomy", "Library_of_Congress_Classification" ], [ "Government", "taxonomy", "Library_of_Congress_Classification" ], [ "History", "taxonomy", "Library_of_Congress_Classification" ], [ "Industrial_engineering", "taxonomy", "Library_of_Congress_Classification" ], [ "International_relations", "taxonomy", "Library_of_Congress_Classification" ], [ "Law", "taxonomy", "Library_of_Congress_Classification" ], [ "Linguistics", "taxonomy", "Library_of_Congress_Classification" ], [ "Literature", "taxonomy", "Library_of_Congress_Classification" ], [ "Marketing-GB", "taxonomy", "Library_of_Congress_Classification" ], [ "Master's_Degree", "institution", "Panjab_University,_Chandigarh" ], [ "Master's_Degree", "institution", "University_of_Pennsylvania" ], [ "Master's_Degree", "major_field_of_study", "Anthropology" ], [ "Master's_Degree", "major_field_of_study", "Applied_mathematics" ], [ "Master's_Degree", "major_field_of_study", "Architecture" ], [ "Master's_Degree", "major_field_of_study", "Art" ], [ "Master's_Degree", "major_field_of_study", "Biology" ], [ "Master's_Degree", "major_field_of_study", "Business" ], [ "Master's_Degree", "major_field_of_study", "Chemical_Engineering" ], [ "Master's_Degree", "major_field_of_study", "Chemistry" ], [ "Master's_Degree", "major_field_of_study", "Communication" ], [ "Master's_Degree", "major_field_of_study", "Computer_Engineering" ], [ "Master's_Degree", "major_field_of_study", "Computer_Science" ], [ "Master's_Degree", "major_field_of_study", "Criminology" ], [ "Master's_Degree", "major_field_of_study", "Ecology" ], [ "Master's_Degree", "major_field_of_study", "Economics" ], [ "Master's_Degree", "major_field_of_study", "Education" ], [ "Master's_Degree", "major_field_of_study", "Engineering-GB" ], [ "Master's_Degree", "major_field_of_study", "English_Literature" ], [ "Master's_Degree", "major_field_of_study", "Finance" ], [ "Master's_Degree", "major_field_of_study", "Geology" ], [ "Master's_Degree", "major_field_of_study", "Government" ], [ "Master's_Degree", "major_field_of_study", "History" ], [ "Master's_Degree", "major_field_of_study", "Industrial_engineering" ], [ "Master's_Degree", "major_field_of_study", "International_relations" ], [ "Master's_Degree", "major_field_of_study", "Law" ], [ "Master's_Degree", "major_field_of_study", "Linguistics" ], [ "Master's_Degree", "major_field_of_study", "Literature" ], [ "Master's_Degree", "major_field_of_study", "Management" ], [ "Master's_Degree", "major_field_of_study", "Marketing-GB" ], [ "Master's_Degree", "major_field_of_study", "Mathematics" ], [ "Master's_Degree", "major_field_of_study", "Mechanical_Engineering" ], [ "Master's_Degree", "major_field_of_study", "Medicine" ], [ "Master's_Degree", "major_field_of_study", "Music" ], [ "Master's_Degree", "major_field_of_study", "Philosophy" ], [ "Master's_Degree", "major_field_of_study", "Physics" ], [ "Master's_Degree", "major_field_of_study", "Political_Science" ], [ "Master's_Degree", "major_field_of_study", "Psychology" ], [ "Master's_Degree", "major_field_of_study", "Public_administration" ], [ "Master's_Degree", "major_field_of_study", "Public_health" ], [ "Master's_Degree", "major_field_of_study", "Social_science" ], [ "Master's_Degree", "major_field_of_study", "Sociology" ], [ "Master's_Degree", "major_field_of_study", "Statistics" ], [ "Master_of_Arts", "institution", "Panjab_University,_Chandigarh" ], [ "Master_of_Arts", "institution", "University_of_Pennsylvania" ], [ "Master_of_Arts", "major_field_of_study", "Anthropology" ], [ "Master_of_Arts", "major_field_of_study", "Applied_mathematics" ], [ "Master_of_Arts", "major_field_of_study", "Architecture" ], [ "Master_of_Arts", "major_field_of_study", "Art" ], [ "Master_of_Arts", "major_field_of_study", "Astronomy" ], [ "Master_of_Arts", "major_field_of_study", "Biochemistry" ], [ "Master_of_Arts", "major_field_of_study", "Biology" ], [ "Master_of_Arts", "major_field_of_study", "Chemistry" ], [ "Master_of_Arts", "major_field_of_study", "Communication" ], [ "Master_of_Arts", "major_field_of_study", "Computer_Science" ], [ "Master_of_Arts", "major_field_of_study", "Economics" ], [ "Master_of_Arts", "major_field_of_study", "Education" ], [ "Master_of_Arts", "major_field_of_study", "English_Literature" ], [ "Master_of_Arts", "major_field_of_study", "Finance" ], [ "Master_of_Arts", "major_field_of_study", "Geology" ], [ "Master_of_Arts", "major_field_of_study", "Government" ], [ "Master_of_Arts", "major_field_of_study", "History" ], [ "Master_of_Arts", "major_field_of_study", "International_relations" ], [ "Master_of_Arts", "major_field_of_study", "Law" ], [ "Master_of_Arts", "major_field_of_study", "Linguistics" ], [ "Master_of_Arts", "major_field_of_study", "Literature" ], [ "Master_of_Arts", "major_field_of_study", "Management" ], [ "Master_of_Arts", "major_field_of_study", "Marketing-GB" ], [ "Master_of_Arts", "major_field_of_study", "Mathematics" ], [ "Master_of_Arts", "major_field_of_study", "Mechanical_Engineering" ], [ "Master_of_Arts", "major_field_of_study", "Philosophy" ], [ "Master_of_Arts", "major_field_of_study", "Physics" ], [ "Master_of_Arts", "major_field_of_study", "Political_Science" ], [ "Master_of_Arts", "major_field_of_study", "Political_philosophy" ], [ "Master_of_Arts", "major_field_of_study", "Psychology" ], [ "Master_of_Arts", "major_field_of_study", "Public_administration" ], [ "Master_of_Arts", "major_field_of_study", "Public_health" ], [ "Master_of_Arts", "major_field_of_study", "Social_science" ], [ "Master_of_Arts", "major_field_of_study", "Sociology" ], [ "Master_of_Arts", "major_field_of_study", "Statistics" ], [ "Master_of_Arts", "student", "Noam_Chomsky" ], [ "Master_of_Arts", "student", "Richard_Rorty" ], [ "Mathematics", "taxonomy", "Library_of_Congress_Classification" ], [ "Mechanical_Engineering", "taxonomy", "Library_of_Congress_Classification" ], [ "Medicine", "taxonomy", "Library_of_Congress_Classification" ], [ "Music", "taxonomy", "Library_of_Congress_Classification" ], [ "Pennsylvania", "contains", "University_of_Pennsylvania" ], [ "Pennsylvania", "taxonomy", "Library_of_Congress_Classification" ], [ "Philosophy", "taxonomy", "Library_of_Congress_Classification" ], [ "Physics", "taxonomy", "Library_of_Congress_Classification" ], [ "Political_Science", "taxonomy", "Library_of_Congress_Classification" ], [ "Political_philosophy", "taxonomy", "Library_of_Congress_Classification" ], [ "Psychology", "taxonomy", "Library_of_Congress_Classification" ], [ "Public_administration", "taxonomy", "Library_of_Congress_Classification" ], [ "Public_health", "taxonomy", "Library_of_Congress_Classification" ], [ "Renewable_energy", "taxonomy", "Library_of_Congress_Classification" ], [ "Social_science", "taxonomy", "Library_of_Congress_Classification" ], [ "Sociology", "taxonomy", "Library_of_Congress_Classification" ], [ "Statistics", "taxonomy", "Library_of_Congress_Classification" ], [ "Topology", "taxonomy", "Library_of_Congress_Classification" ], [ "University_of_Pennsylvania", "campuses", "University_of_Pennsylvania" ], [ "University_of_Pennsylvania", "major_field_of_study", "Anthropology" ], [ "University_of_Pennsylvania", "major_field_of_study", "Applied_mathematics" ], [ "University_of_Pennsylvania", "major_field_of_study", "Architecture" ], [ "University_of_Pennsylvania", "major_field_of_study", "Biology" ], [ "University_of_Pennsylvania", "major_field_of_study", "Chemistry" ], [ "University_of_Pennsylvania", "major_field_of_study", "Communication" ], [ "University_of_Pennsylvania", "major_field_of_study", "Computer_Science" ], [ "University_of_Pennsylvania", "major_field_of_study", "Economics" ], [ "University_of_Pennsylvania", "major_field_of_study", "Engineering-GB" ], [ "University_of_Pennsylvania", "major_field_of_study", "English_Literature" ], [ "University_of_Pennsylvania", "major_field_of_study", "Folklore" ], [ "University_of_Pennsylvania", "major_field_of_study", "History" ], [ "University_of_Pennsylvania", "major_field_of_study", "International_relations" ], [ "University_of_Pennsylvania", "major_field_of_study", "Linguistics" ], [ "University_of_Pennsylvania", "major_field_of_study", "Management" ], [ "University_of_Pennsylvania", "major_field_of_study", "Mathematics" ], [ "University_of_Pennsylvania", "major_field_of_study", "Mechanical_Engineering" ], [ "University_of_Pennsylvania", "major_field_of_study", "Philosophy" ], [ "University_of_Pennsylvania", "major_field_of_study", "Physics" ], [ "University_of_Pennsylvania", "major_field_of_study", "Political_Science" ], [ "University_of_Pennsylvania", "major_field_of_study", "Psychology" ], [ "University_of_Pennsylvania", "major_field_of_study", "Sociology" ], [ "University_of_Pennsylvania", "student", "Noam_Chomsky" ], [ "University_of_Pennsylvania", "student", "William_Henry_Harrison" ], [ "William_Henry_Harrison", "taxonomy", "Library_of_Congress_Classification" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 12828, 11th_Satellite_Awards 446, 2012_Summer_Olympics 13265, 56th_Primetime_Emmy_Awards 9261, A_Separation 4452, African,_Caribbean_&_Pacific_Group_of_States 10538, African_Development_Bank 795, African_Union 11131, Air_travel 7330, Albania 3563, Albanian_language 395, Alpine_skiing 9618, Americas 5959, Anthony_Anderson 906, Archery 11624, Atlantic_Ocean 300, Bermuda 3189, Boston_Legal 9412, Candice_Bergen 12649, Canoe_Slalom 10168, Cedric_the_Entertainer 7359, Commonwealth_of_Nations 11623, Constitutional_monarchy 13151, Council_of_Europe 10349, Cuba 12402, Cyprus 6301, Date_Night 7059, Elias_Koteas 4629, European_Union_Member_States 6687, Footloose 12090, Gabrielle_Union 6102, Greek_Language 2810, Hebrew_Language 10714, Howard_University 2979, Hustle_&_Flow 10393, Isaac_Hayes 10201, Isaiah_Washington 12849, James_Spader 10533, Jared_Harris 1025, Jason_Flemyng 6887, John_Larroquette 9281, Julia_Ormond 8366, Julie_Bowen 11844, Kosovo 652, Larry_Crowne 10179, League_of_Nations 4659, Luxembourg 4872, Madagascar 7978, Madagascar:_Escape_2_Africa 8757, Malta 2741, Marrakesh 12304, Mediterranean_Sea 5210, Mike_Epps 7670, Milan 1057, Monarch-GB 13811, Montreal 12041, Morocco 8835, On_the_Road 481, Oscar_Nunez 2851, Ottoman_wars_in_Europe 6371, Palestinian_National_Authority 6642, Parliamentary_system 10418, Premier 6806, Presidential_system 3394, Province_of_Milan 4869, Republic 11920, Republic_of_Macedonia 2959, Resident_Evil:_Apocalypse 9681, Road_running 8706, Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Female_Actor_in_a_Comedy_Series 10294, Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series 4989, Sierra_Leone 6259, Smokin'_Aces 8378, StudioCanal 10860, Table_tennis 7017, Talk_to_Me 6499, Taraji_P._Henson 4038, Tennis 945, Terrence_Howard 6015, The_Red_Violin 4962, Think_Like_A_Man 8912, Tilda_Swinton 4045, Train 5498, Turkish_Language 4766, Unitary_state 13150, Vondie_Curtis-Hall 1711, William_Fichtner 3390, William_Shatner 899, Young_Adam src, edge_attr, dst 12828, award_winner, 5959 12828, award_winner, 12849 12828, honored_for, 3189 446, sports, 906 446, sports, 12649 446, sports, 10860 446, sports, 4038 13265, award_winner, 12849 13265, award_winner, 3390 9261, film_release_region, 4659 9261, film_release_region, 11920 7330, adjoins, 11844 7330, form_of_government, 6642 7330, official_language, 3563 7330, olympics, 446 7330, organization, 13151 7330, organization, 10179 7330, split_to, 7330 3563, countries_spoken_in, 7330 3563, countries_spoken_in, 11920 395, country, 12402 395, country, 12041 395, country, 11920 9618, contains, 300 9618, contains, 10349 5959, acted_in, 2979 5959, award_nominee, 10393 5959, award_nominee, 6499 5959, award_nominee, 945 906, country, 10349 906, country, 12402 906, country, 4659 906, olympics, 446 11624, adjoins, 4989 11624, contains, 300 300, form_of_government, 11623 300, form_of_government, 6642 300, olympics, 446 3189, actor, 9412 3189, actor, 12849 3189, actor, 6887 3189, actor, 8366 3189, actor, 3390 3189, award_winner, 12849 3189, award_winner, 3390 9412, award, 8706 9412, award_nominee, 12849 9412, award_nominee, 6887 9412, award_nominee, 3390 9412, nominated_for, 3189 12649, country, 12041 12649, country, 11920 10168, acted_in, 652 10168, acted_in, 4872 10168, acted_in, 7978 10168, acted_in, 7017 10168, award_nominee, 5210 10168, award_nominee, 6499 10168, award_nominee, 13150 10168, award_winner, 12090 10168, award_winner, 5210 10168, award_winner, 6499 10168, award_winner, 13150 10168, nominated_for, 7017 10349, form_of_government, 4869 10349, form_of_government, 4766 10349, olympics, 446 10349, organization, 4452 10349, organization, 10179 12402, form_of_government, 6806 12402, form_of_government, 4766 12402, official_language, 6102 12402, official_language, 5498 12402, olympics, 446 12402, organization, 7359 12402, organization, 13151 6301, language, 2810 7059, award_nominee, 10533 7059, award_nominee, 1025 7059, award_nominee, 9281 7059, award_nominee, 6499 7059, award_nominee, 8912 7059, languages, 6102 7059, location, 13811 7059, place_of_birth, 13811 4629, member_states, 12402 4629, member_states, 8757 6687, film_release_region, 12402 6687, film_release_region, 8757 12090, acted_in, 4962 12090, award_nominee, 10168 12090, award_winner, 10168 12090, participant, 945 6102, countries_spoken_in, 7330 2810, countries_spoken_in, 6371 10714, campuses, 10714 10714, educational_institution, 10714 10714, student, 5959 10714, student, 10201 10714, student, 6499 10393, acted_in, 2979 10393, award_nominee, 5959 10393, award_nominee, 6499 10393, award_nominee, 945 10393, nominated_for, 2979 12849, award, 10294 12849, award_nominee, 9412 12849, award_nominee, 8366 12849, award_nominee, 481 12849, award_nominee, 6499 12849, award_nominee, 3390 12849, nominated_for, 3189 10533, acted_in, 2959 10533, award_nominee, 7059 10533, award_nominee, 1025 10533, award_nominee, 6499 10533, award_nominee, 8912 1025, acted_in, 6015 1025, award_nominee, 7059 1025, award_nominee, 9281 1025, award_nominee, 6499 1025, award_nominee, 8912 6887, award_nominee, 9412 6887, award_nominee, 12849 6887, award_nominee, 6499 6887, award_nominee, 3390 6887, nominated_for, 3189 9281, award_nominee, 7059 9281, award_nominee, 10533 9281, award_nominee, 1025 9281, award_nominee, 6499 9281, award_nominee, 8912 8366, award, 8706 8366, award_nominee, 9412 8366, award_nominee, 12849 8366, award_nominee, 6887 8366, award_nominee, 6499 8366, award_nominee, 3390 8366, nominated_for, 3189 11844, adjoins, 11920 652, production_companies, 8378 4659, capital, 4659 4659, contains, 4659 4659, form_of_government, 11623 4659, form_of_government, 6642 4659, form_of_government, 4766 4659, mode_of_transportation, 11131 4659, mode_of_transportation, 4045 4659, olympics, 446 4659, organization, 4629 4659, organization, 10179 4659, organizations_founded, 13151 4872, olympics, 446 4872, organization, 4452 4872, organization, 10538 4872, organization, 795 7978, prequel, 4872 8757, olympics, 446 8757, organization, 7359 8757, organization, 13151 8757, organization, 4629 2741, vacationer, 9412 12304, contains, 12402 12304, contains, 8757 5210, acted_in, 2959 5210, acted_in, 7017 5210, award_nominee, 6499 5210, award_nominee, 13150 5210, award_winner, 10168 5210, award_winner, 6499 5210, award_winner, 13150 7670, administrative_division, 3394 7670, mode_of_transportation, 11131 7670, mode_of_transportation, 4045 1057, jurisdiction_of_office, 4659 1057, jurisdiction_of_office, 12041 12041, contains, 2741 12041, form_of_government, 11623 12041, form_of_government, 6642 12041, form_of_government, 4766 12041, olympics, 446 12041, organization, 10538 8835, film_release_region, 4659 8835, film_release_region, 11920 481, place_of_birth, 10349 2851, locations, 7330 2851, locations, 12402 2851, locations, 8757 6371, olympics, 446 10418, jurisdiction_of_office, 300 10418, jurisdiction_of_office, 10349 3394, capital, 7670 3394, contains, 7670 11920, adjoins, 7330 11920, adjoins, 11844 11920, olympics, 446 11920, organization, 13151 9681, country, 10349 9681, country, 12041 9681, olympics, 446 8706, nominated_for, 3189 10294, nominated_for, 3189 4989, adjoins, 11624 4989, form_of_government, 6806 4989, form_of_government, 4869 4989, form_of_government, 4766 4989, olympics, 446 4989, organization, 4452 4989, organization, 10538 4989, organization, 795 4989, organization, 7359 4989, vacationer, 10201 6259, production_companies, 8378 10860, country, 10349 10860, country, 4659 10860, country, 12041 10860, country, 4989 10860, olympics, 446 7017, award_winner, 10168 7017, award_winner, 5210 7017, award_winner, 6499 7017, award_winner, 13150 6499, acted_in, 6301 6499, acted_in, 2979 6499, acted_in, 652 6499, acted_in, 6259 6499, acted_in, 4962 6499, award_nominee, 5959 6499, award_nominee, 9412 6499, award_nominee, 10168 6499, award_nominee, 7059 6499, award_nominee, 10393 6499, award_nominee, 10533 6499, award_nominee, 1025 6499, award_nominee, 9281 6499, award_nominee, 8366 6499, award_nominee, 5210 6499, award_nominee, 945 6499, award_nominee, 8912 6499, award_nominee, 13150 6499, award_winner, 10168 6499, award_winner, 5210 6499, nominated_for, 3189 6499, nominated_for, 7017 4038, country, 12402 4038, country, 4659 945, acted_in, 2979 945, acted_in, 8835 945, award_nominee, 10393 945, award_nominee, 6499 945, award_nominee, 1711 945, award_winner, 1711 945, nominated_for, 2979 945, participant, 12090 6015, film_release_region, 8757 8912, acted_in, 899 8912, award_nominee, 7059 8912, award_nominee, 10533 8912, award_nominee, 1025 8912, award_nominee, 9281 8912, award_nominee, 6499 5498, countries_spoken_in, 12402 5498, countries_spoken_in, 11920 13150, acted_in, 7017 13150, award_nominee, 10168 13150, award_nominee, 5210 13150, award_nominee, 6499 13150, award_winner, 5210 13150, award_winner, 6499 13150, nominated_for, 7017 1711, acted_in, 6301 1711, award_winner, 945 3390, award, 10294 3390, award_nominee, 12849 3390, award_nominee, 6887 3390, award_nominee, 8366 3390, award_nominee, 6499 3390, location, 13811 3390, nominated_for, 3189 899, film_release_region, 300 899, film_release_region, 8757 Question: How are 2012_Summer_Olympics, Province_of_Milan, and Taraji_P._Henson related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "2012_Summer_Olympics", "Province_of_Milan", "Taraji_P._Henson" ], "valid_edges": [ [ "11th_Satellite_Awards", "award_winner", "Anthony_Anderson" ], [ "11th_Satellite_Awards", "award_winner", "James_Spader" ], [ "11th_Satellite_Awards", "honored_for", "Boston_Legal" ], [ "2012_Summer_Olympics", "sports", "Archery" ], [ "2012_Summer_Olympics", "sports", "Canoe_Slalom" ], [ "2012_Summer_Olympics", "sports", "Table_tennis" ], [ "2012_Summer_Olympics", "sports", "Tennis" ], [ "56th_Primetime_Emmy_Awards", "award_winner", "James_Spader" ], [ "56th_Primetime_Emmy_Awards", "award_winner", "William_Shatner" ], [ "A_Separation", "film_release_region", "Luxembourg" ], [ "A_Separation", "film_release_region", "Republic_of_Macedonia" ], [ "Albania", "adjoins", "Kosovo" ], [ "Albania", "form_of_government", "Parliamentary_system" ], [ "Albania", "official_language", "Albanian_language" ], [ "Albania", "olympics", "2012_Summer_Olympics" ], [ "Albania", "organization", "Council_of_Europe" ], [ "Albania", "organization", "League_of_Nations" ], [ "Albania", "split_to", "Albania" ], [ "Albanian_language", "countries_spoken_in", "Albania" ], [ "Albanian_language", "countries_spoken_in", "Republic_of_Macedonia" ], [ "Alpine_skiing", "country", "Cyprus" ], [ "Alpine_skiing", "country", "Morocco" ], [ "Alpine_skiing", "country", "Republic_of_Macedonia" ], [ "Americas", "contains", "Bermuda" ], [ "Americas", "contains", "Cuba" ], [ "Anthony_Anderson", "acted_in", "Hustle_&_Flow" ], [ "Anthony_Anderson", "award_nominee", "Isaac_Hayes" ], [ "Anthony_Anderson", "award_nominee", "Taraji_P._Henson" ], [ "Anthony_Anderson", "award_nominee", "Terrence_Howard" ], [ "Archery", "country", "Cuba" ], [ "Archery", "country", "Cyprus" ], [ "Archery", "country", "Luxembourg" ], [ "Archery", "olympics", "2012_Summer_Olympics" ], [ "Atlantic_Ocean", "adjoins", "Sierra_Leone" ], [ "Atlantic_Ocean", "contains", "Bermuda" ], [ "Bermuda", "form_of_government", "Constitutional_monarchy" ], [ "Bermuda", "form_of_government", "Parliamentary_system" ], [ "Bermuda", "olympics", "2012_Summer_Olympics" ], [ "Boston_Legal", "actor", "Candice_Bergen" ], [ "Boston_Legal", "actor", "James_Spader" ], [ "Boston_Legal", "actor", "John_Larroquette" ], [ "Boston_Legal", "actor", "Julie_Bowen" ], [ "Boston_Legal", "actor", "William_Shatner" ], [ "Boston_Legal", "award_winner", "James_Spader" ], [ "Boston_Legal", "award_winner", "William_Shatner" ], [ "Candice_Bergen", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Female_Actor_in_a_Comedy_Series" ], [ "Candice_Bergen", "award_nominee", "James_Spader" ], [ "Candice_Bergen", "award_nominee", "John_Larroquette" ], [ "Candice_Bergen", "award_nominee", "William_Shatner" ], [ "Candice_Bergen", "nominated_for", "Boston_Legal" ], [ "Canoe_Slalom", "country", "Morocco" ], [ "Canoe_Slalom", "country", "Republic_of_Macedonia" ], [ "Cedric_the_Entertainer", "acted_in", "Larry_Crowne" ], [ "Cedric_the_Entertainer", "acted_in", "Madagascar" ], [ "Cedric_the_Entertainer", "acted_in", "Madagascar:_Escape_2_Africa" ], [ "Cedric_the_Entertainer", "acted_in", "Talk_to_Me" ], [ "Cedric_the_Entertainer", "award_nominee", "Mike_Epps" ], [ "Cedric_the_Entertainer", "award_nominee", "Taraji_P._Henson" ], [ "Cedric_the_Entertainer", "award_nominee", "Vondie_Curtis-Hall" ], [ "Cedric_the_Entertainer", "award_winner", "Gabrielle_Union" ], [ "Cedric_the_Entertainer", "award_winner", "Mike_Epps" ], [ "Cedric_the_Entertainer", "award_winner", "Taraji_P._Henson" ], [ "Cedric_the_Entertainer", "award_winner", "Vondie_Curtis-Hall" ], [ "Cedric_the_Entertainer", "nominated_for", "Talk_to_Me" ], [ "Cuba", "form_of_government", "Republic" ], [ "Cuba", "form_of_government", "Unitary_state" ], [ "Cuba", "olympics", "2012_Summer_Olympics" ], [ "Cuba", "organization", "African,_Caribbean_&_Pacific_Group_of_States" ], [ "Cuba", "organization", "League_of_Nations" ], [ "Cyprus", "form_of_government", "Presidential_system" ], [ "Cyprus", "form_of_government", "Unitary_state" ], [ "Cyprus", "official_language", "Greek_Language" ], [ "Cyprus", "official_language", "Turkish_Language" ], [ "Cyprus", "olympics", "2012_Summer_Olympics" ], [ "Cyprus", "organization", "Commonwealth_of_Nations" ], [ "Cyprus", "organization", "Council_of_Europe" ], [ "Date_Night", "language", "Hebrew_Language" ], [ "Elias_Koteas", "award_nominee", "Jared_Harris" ], [ "Elias_Koteas", "award_nominee", "Jason_Flemyng" ], [ "Elias_Koteas", "award_nominee", "Julia_Ormond" ], [ "Elias_Koteas", "award_nominee", "Taraji_P._Henson" ], [ "Elias_Koteas", "award_nominee", "Tilda_Swinton" ], [ "Elias_Koteas", "languages", "Greek_Language" ], [ "Elias_Koteas", "location", "Montreal" ], [ "Elias_Koteas", "place_of_birth", "Montreal" ], [ "European_Union_Member_States", "member_states", "Cyprus" ], [ "European_Union_Member_States", "member_states", "Malta" ], [ "Footloose", "film_release_region", "Cyprus" ], [ "Footloose", "film_release_region", "Malta" ], [ "Gabrielle_Union", "acted_in", "Think_Like_A_Man" ], [ "Gabrielle_Union", "award_nominee", "Cedric_the_Entertainer" ], [ "Gabrielle_Union", "award_winner", "Cedric_the_Entertainer" ], [ "Gabrielle_Union", "participant", "Terrence_Howard" ], [ "Greek_Language", "countries_spoken_in", "Albania" ], [ "Hebrew_Language", "countries_spoken_in", "Palestinian_National_Authority" ], [ "Howard_University", "campuses", "Howard_University" ], [ "Howard_University", "educational_institution", "Howard_University" ], [ "Howard_University", "student", "Anthony_Anderson" ], [ "Howard_University", "student", "Isaiah_Washington" ], [ "Howard_University", "student", "Taraji_P._Henson" ], [ "Isaac_Hayes", "acted_in", "Hustle_&_Flow" ], [ "Isaac_Hayes", "award_nominee", "Anthony_Anderson" ], [ "Isaac_Hayes", "award_nominee", "Taraji_P._Henson" ], [ "Isaac_Hayes", "award_nominee", "Terrence_Howard" ], [ "Isaac_Hayes", "nominated_for", "Hustle_&_Flow" ], [ "James_Spader", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "James_Spader", "award_nominee", "Candice_Bergen" ], [ "James_Spader", "award_nominee", "Julie_Bowen" ], [ "James_Spader", "award_nominee", "Oscar_Nunez" ], [ "James_Spader", "award_nominee", "Taraji_P._Henson" ], [ "James_Spader", "award_nominee", "William_Shatner" ], [ "James_Spader", "nominated_for", "Boston_Legal" ], [ "Jared_Harris", "acted_in", "Resident_Evil:_Apocalypse" ], [ "Jared_Harris", "award_nominee", "Elias_Koteas" ], [ "Jared_Harris", "award_nominee", "Jason_Flemyng" ], [ "Jared_Harris", "award_nominee", "Taraji_P._Henson" ], [ "Jared_Harris", "award_nominee", "Tilda_Swinton" ], [ "Jason_Flemyng", "acted_in", "The_Red_Violin" ], [ "Jason_Flemyng", "award_nominee", "Elias_Koteas" ], [ "Jason_Flemyng", "award_nominee", "Julia_Ormond" ], [ "Jason_Flemyng", "award_nominee", "Taraji_P._Henson" ], [ "Jason_Flemyng", "award_nominee", "Tilda_Swinton" ], [ "John_Larroquette", "award_nominee", "Candice_Bergen" ], [ "John_Larroquette", "award_nominee", "James_Spader" ], [ "John_Larroquette", "award_nominee", "Taraji_P._Henson" ], [ "John_Larroquette", "award_nominee", "William_Shatner" ], [ "John_Larroquette", "nominated_for", "Boston_Legal" ], [ "Julia_Ormond", "award_nominee", "Elias_Koteas" ], [ "Julia_Ormond", "award_nominee", "Jared_Harris" ], [ "Julia_Ormond", "award_nominee", "Jason_Flemyng" ], [ "Julia_Ormond", "award_nominee", "Taraji_P._Henson" ], [ "Julia_Ormond", "award_nominee", "Tilda_Swinton" ], [ "Julie_Bowen", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Female_Actor_in_a_Comedy_Series" ], [ "Julie_Bowen", "award_nominee", "Candice_Bergen" ], [ "Julie_Bowen", "award_nominee", "James_Spader" ], [ "Julie_Bowen", "award_nominee", "John_Larroquette" ], [ "Julie_Bowen", "award_nominee", "Taraji_P._Henson" ], [ "Julie_Bowen", "award_nominee", "William_Shatner" ], [ "Julie_Bowen", "nominated_for", "Boston_Legal" ], [ "Kosovo", "adjoins", "Republic_of_Macedonia" ], [ "Larry_Crowne", "production_companies", "StudioCanal" ], [ "Luxembourg", "capital", "Luxembourg" ], [ "Luxembourg", "contains", "Luxembourg" ], [ "Luxembourg", "form_of_government", "Constitutional_monarchy" ], [ "Luxembourg", "form_of_government", "Parliamentary_system" ], [ "Luxembourg", "form_of_government", "Unitary_state" ], [ "Luxembourg", "mode_of_transportation", "Air_travel" ], [ "Luxembourg", "mode_of_transportation", "Train" ], [ "Luxembourg", "olympics", "2012_Summer_Olympics" ], [ "Luxembourg", "organization", "European_Union_Member_States" ], [ "Luxembourg", "organization", "League_of_Nations" ], [ "Luxembourg", "organizations_founded", "Council_of_Europe" ], [ "Madagascar", "olympics", "2012_Summer_Olympics" ], [ "Madagascar", "organization", "African,_Caribbean_&_Pacific_Group_of_States" ], [ "Madagascar", "organization", "African_Development_Bank" ], [ "Madagascar", "organization", "African_Union" ], [ "Madagascar:_Escape_2_Africa", "prequel", "Madagascar" ], [ "Malta", "olympics", "2012_Summer_Olympics" ], [ "Malta", "organization", "Commonwealth_of_Nations" ], [ "Malta", "organization", "Council_of_Europe" ], [ "Malta", "organization", "European_Union_Member_States" ], [ "Marrakesh", "vacationer", "Candice_Bergen" ], [ "Mediterranean_Sea", "contains", "Cyprus" ], [ "Mediterranean_Sea", "contains", "Malta" ], [ "Mike_Epps", "acted_in", "Resident_Evil:_Apocalypse" ], [ "Mike_Epps", "acted_in", "Talk_to_Me" ], [ "Mike_Epps", "award_nominee", "Taraji_P._Henson" ], [ "Mike_Epps", "award_nominee", "Vondie_Curtis-Hall" ], [ "Mike_Epps", "award_winner", "Cedric_the_Entertainer" ], [ "Mike_Epps", "award_winner", "Taraji_P._Henson" ], [ "Mike_Epps", "award_winner", "Vondie_Curtis-Hall" ], [ "Milan", "administrative_division", "Province_of_Milan" ], [ "Milan", "mode_of_transportation", "Air_travel" ], [ "Milan", "mode_of_transportation", "Train" ], [ "Monarch-GB", "jurisdiction_of_office", "Luxembourg" ], [ "Monarch-GB", "jurisdiction_of_office", "Morocco" ], [ "Morocco", "contains", "Marrakesh" ], [ "Morocco", "form_of_government", "Constitutional_monarchy" ], [ "Morocco", "form_of_government", "Parliamentary_system" ], [ "Morocco", "form_of_government", "Unitary_state" ], [ "Morocco", "olympics", "2012_Summer_Olympics" ], [ "Morocco", "organization", "African_Development_Bank" ], [ "On_the_Road", "film_release_region", "Luxembourg" ], [ "On_the_Road", "film_release_region", "Republic_of_Macedonia" ], [ "Oscar_Nunez", "place_of_birth", "Cuba" ], [ "Ottoman_wars_in_Europe", "locations", "Albania" ], [ "Ottoman_wars_in_Europe", "locations", "Cyprus" ], [ "Ottoman_wars_in_Europe", "locations", "Malta" ], [ "Palestinian_National_Authority", "olympics", "2012_Summer_Olympics" ], [ "Premier", "jurisdiction_of_office", "Bermuda" ], [ "Premier", "jurisdiction_of_office", "Cuba" ], [ "Province_of_Milan", "capital", "Milan" ], [ "Province_of_Milan", "contains", "Milan" ], [ "Republic_of_Macedonia", "adjoins", "Albania" ], [ "Republic_of_Macedonia", "adjoins", "Kosovo" ], [ "Republic_of_Macedonia", "olympics", "2012_Summer_Olympics" ], [ "Republic_of_Macedonia", "organization", "Council_of_Europe" ], [ "Road_running", "country", "Cuba" ], [ "Road_running", "country", "Morocco" ], [ "Road_running", "olympics", "2012_Summer_Olympics" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Female_Actor_in_a_Comedy_Series", "nominated_for", "Boston_Legal" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series", "nominated_for", "Boston_Legal" ], [ "Sierra_Leone", "adjoins", "Atlantic_Ocean" ], [ "Sierra_Leone", "form_of_government", "Presidential_system" ], [ "Sierra_Leone", "form_of_government", "Republic" ], [ "Sierra_Leone", "form_of_government", "Unitary_state" ], [ "Sierra_Leone", "olympics", "2012_Summer_Olympics" ], [ "Sierra_Leone", "organization", "African,_Caribbean_&_Pacific_Group_of_States" ], [ "Sierra_Leone", "organization", "African_Development_Bank" ], [ "Sierra_Leone", "organization", "African_Union" ], [ "Sierra_Leone", "organization", "Commonwealth_of_Nations" ], [ "Sierra_Leone", "vacationer", "Isaiah_Washington" ], [ "Smokin'_Aces", "production_companies", "StudioCanal" ], [ "Table_tennis", "country", "Cuba" ], [ "Table_tennis", "country", "Luxembourg" ], [ "Table_tennis", "country", "Morocco" ], [ "Table_tennis", "country", "Sierra_Leone" ], [ "Table_tennis", "olympics", "2012_Summer_Olympics" ], [ "Talk_to_Me", "award_winner", "Cedric_the_Entertainer" ], [ "Talk_to_Me", "award_winner", "Mike_Epps" ], [ "Talk_to_Me", "award_winner", "Taraji_P._Henson" ], [ "Talk_to_Me", "award_winner", "Vondie_Curtis-Hall" ], [ "Taraji_P._Henson", "acted_in", "Date_Night" ], [ "Taraji_P._Henson", "acted_in", "Hustle_&_Flow" ], [ "Taraji_P._Henson", "acted_in", "Larry_Crowne" ], [ "Taraji_P._Henson", "acted_in", "Smokin'_Aces" ], [ "Taraji_P._Henson", "acted_in", "Think_Like_A_Man" ], [ "Taraji_P._Henson", "award_nominee", "Anthony_Anderson" ], [ "Taraji_P._Henson", "award_nominee", "Candice_Bergen" ], [ "Taraji_P._Henson", "award_nominee", "Cedric_the_Entertainer" ], [ "Taraji_P._Henson", "award_nominee", "Elias_Koteas" ], [ "Taraji_P._Henson", "award_nominee", "Isaac_Hayes" ], [ "Taraji_P._Henson", "award_nominee", "Jared_Harris" ], [ "Taraji_P._Henson", "award_nominee", "Jason_Flemyng" ], [ "Taraji_P._Henson", "award_nominee", "Julia_Ormond" ], [ "Taraji_P._Henson", "award_nominee", "Julie_Bowen" ], [ "Taraji_P._Henson", "award_nominee", "Mike_Epps" ], [ "Taraji_P._Henson", "award_nominee", "Terrence_Howard" ], [ "Taraji_P._Henson", "award_nominee", "Tilda_Swinton" ], [ "Taraji_P._Henson", "award_nominee", "Vondie_Curtis-Hall" ], [ "Taraji_P._Henson", "award_winner", "Cedric_the_Entertainer" ], [ "Taraji_P._Henson", "award_winner", "Mike_Epps" ], [ "Taraji_P._Henson", "nominated_for", "Boston_Legal" ], [ "Taraji_P._Henson", "nominated_for", "Talk_to_Me" ], [ "Tennis", "country", "Cyprus" ], [ "Tennis", "country", "Luxembourg" ], [ "Terrence_Howard", "acted_in", "Hustle_&_Flow" ], [ "Terrence_Howard", "acted_in", "On_the_Road" ], [ "Terrence_Howard", "award_nominee", "Isaac_Hayes" ], [ "Terrence_Howard", "award_nominee", "Taraji_P._Henson" ], [ "Terrence_Howard", "award_nominee", "William_Fichtner" ], [ "Terrence_Howard", "award_winner", "William_Fichtner" ], [ "Terrence_Howard", "nominated_for", "Hustle_&_Flow" ], [ "Terrence_Howard", "participant", "Gabrielle_Union" ], [ "The_Red_Violin", "film_release_region", "Malta" ], [ "Tilda_Swinton", "acted_in", "Young_Adam" ], [ "Tilda_Swinton", "award_nominee", "Elias_Koteas" ], [ "Tilda_Swinton", "award_nominee", "Jared_Harris" ], [ "Tilda_Swinton", "award_nominee", "Jason_Flemyng" ], [ "Tilda_Swinton", "award_nominee", "Julia_Ormond" ], [ "Tilda_Swinton", "award_nominee", "Taraji_P._Henson" ], [ "Turkish_Language", "countries_spoken_in", "Cyprus" ], [ "Turkish_Language", "countries_spoken_in", "Republic_of_Macedonia" ], [ "Vondie_Curtis-Hall", "acted_in", "Talk_to_Me" ], [ "Vondie_Curtis-Hall", "award_nominee", "Cedric_the_Entertainer" ], [ "Vondie_Curtis-Hall", "award_nominee", "Mike_Epps" ], [ "Vondie_Curtis-Hall", "award_nominee", "Taraji_P._Henson" ], [ "Vondie_Curtis-Hall", "award_winner", "Mike_Epps" ], [ "Vondie_Curtis-Hall", "award_winner", "Taraji_P._Henson" ], [ "Vondie_Curtis-Hall", "nominated_for", "Talk_to_Me" ], [ "William_Fichtner", "acted_in", "Date_Night" ], [ "William_Fichtner", "award_winner", "Terrence_Howard" ], [ "William_Shatner", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "William_Shatner", "award_nominee", "James_Spader" ], [ "William_Shatner", "award_nominee", "John_Larroquette" ], [ "William_Shatner", "award_nominee", "Julie_Bowen" ], [ "William_Shatner", "award_nominee", "Taraji_P._Henson" ], [ "William_Shatner", "location", "Montreal" ], [ "William_Shatner", "nominated_for", "Boston_Legal" ], [ "Young_Adam", "film_release_region", "Bermuda" ], [ "Young_Adam", "film_release_region", "Malta" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 4739, Doctor_of_Medicine 6990, Entertainment 4805, Four_Weddings_and_a_Funeral 11066, GoldenEye 3850, Graeme_Revell 13585, John_Cale 5801, Lara_Croft:_Tomb_Raider 2064, Lara_Croft_Tomb_Raider:_The_Cradle_of_Life 13925, Lawrence_Gordon 5463, Lindy_Hemming 9560, Master_of_Laws 755, Mushroom_Group 2987, Rank_Organisation 674, Robbie_Coltrane 2586, Tulane_University 11108, University_of_Auckland 1877, University_of_Edinburgh 7495, University_of_London 13783, Welsh_people src, edge_attr, dst 4739, institution, 2586 4739, institution, 11108 4739, institution, 1877 4739, institution, 7495 4805, costume_design_by, 5463 11066, costume_design_by, 5463 5801, costume_design_by, 5463 5801, film_music, 3850 5801, produced_by, 13925 2064, costume_design_by, 5463 2064, prequel, 5801 2064, produced_by, 13925 9560, institution, 11108 9560, institution, 7495 755, industry, 6990 2987, film, 4805 2987, industry, 6990 674, acted_in, 11066 2586, educational_institution, 2586 2586, student, 13925 11108, campuses, 11108 11108, educational_institution, 11108 11108, student, 3850 1877, campuses, 1877 1877, student, 674 7495, campuses, 7495 7495, student, 13585 13783, people, 13585 13783, people, 5463 Question: In what context are Doctor_of_Medicine, Lindy_Hemming, and Mushroom_Group connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Doctor_of_Medicine", "Lindy_Hemming", "Mushroom_Group" ], "valid_edges": [ [ "Doctor_of_Medicine", "institution", "Tulane_University" ], [ "Doctor_of_Medicine", "institution", "University_of_Auckland" ], [ "Doctor_of_Medicine", "institution", "University_of_Edinburgh" ], [ "Doctor_of_Medicine", "institution", "University_of_London" ], [ "Four_Weddings_and_a_Funeral", "costume_design_by", "Lindy_Hemming" ], [ "GoldenEye", "costume_design_by", "Lindy_Hemming" ], [ "Lara_Croft:_Tomb_Raider", "costume_design_by", "Lindy_Hemming" ], [ "Lara_Croft:_Tomb_Raider", "film_music", "Graeme_Revell" ], [ "Lara_Croft:_Tomb_Raider", "produced_by", "Lawrence_Gordon" ], [ "Lara_Croft_Tomb_Raider:_The_Cradle_of_Life", "costume_design_by", "Lindy_Hemming" ], [ "Lara_Croft_Tomb_Raider:_The_Cradle_of_Life", "prequel", "Lara_Croft:_Tomb_Raider" ], [ "Lara_Croft_Tomb_Raider:_The_Cradle_of_Life", "produced_by", "Lawrence_Gordon" ], [ "Master_of_Laws", "institution", "University_of_Auckland" ], [ "Master_of_Laws", "institution", "University_of_London" ], [ "Mushroom_Group", "industry", "Entertainment" ], [ "Rank_Organisation", "film", "Four_Weddings_and_a_Funeral" ], [ "Rank_Organisation", "industry", "Entertainment" ], [ "Robbie_Coltrane", "acted_in", "GoldenEye" ], [ "Tulane_University", "educational_institution", "Tulane_University" ], [ "Tulane_University", "student", "Lawrence_Gordon" ], [ "University_of_Auckland", "campuses", "University_of_Auckland" ], [ "University_of_Auckland", "educational_institution", "University_of_Auckland" ], [ "University_of_Auckland", "student", "Graeme_Revell" ], [ "University_of_Edinburgh", "campuses", "University_of_Edinburgh" ], [ "University_of_Edinburgh", "student", "Robbie_Coltrane" ], [ "University_of_London", "campuses", "University_of_London" ], [ "University_of_London", "student", "John_Cale" ], [ "Welsh_people", "people", "John_Cale" ], [ "Welsh_people", "people", "Lindy_Hemming" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 9454, A_Pup_Named_Scooby-Doo 7401, American_Dad! 172, Animaniacs 3756, Animated_cartoon 8905, Animated_series 320, Avatar:_The_Last_Airbender 11279, Batman:_Gotham_Knight 11432, Ben_10 11418, Britpop 3301, Cartoon 2793, Cary_Elwes 10106, Dee_Bradley_Baker 11471, Disney's_House_of_Mouse 6297, Freakazoid! 6379, Futurama 2780, Grey_DeLisle 4441, Harrow_School 10024, James_Blunt 10092, Jason_Marsden 13518, Kevin_Michael_Richardson 6790, Kid_vs._Kat 12804, Nickelodeon 11186, Phineas_and_Ferb 8162, Porco_Rosso 2802, Porcupine_Tree 13029, Rugrats 5449, SpongeBob_SquarePants 6743, Star_Wars:_The_Clone_Wars 14213, Tara_Strong 6802, The_Fairly_OddParents 13982, The_Penguins_of_Madagascar 12561, Tiny_Toon_Adventures 11513, Tom_Kenny 13348, YTV src, edge_attr, dst 9454, genre, 3756 9454, genre, 8905 7401, actor, 10106 7401, genre, 3756 172, genre, 3756 320, actor, 10106 320, actor, 2780 320, award_winner, 12804 320, genre, 8905 11432, actor, 10106 11432, actor, 13518 11432, actor, 14213 11432, genre, 8905 11418, artists, 10024 11418, artists, 2802 3301, titles, 172 3301, titles, 11432 3301, titles, 6297 3301, titles, 5449 3301, titles, 6802 3301, titles, 12561 10106, acted_in, 6743 11471, actor, 2780 11471, actor, 10092 11471, genre, 3756 11471, genre, 8905 6297, genre, 3756 6297, genre, 8905 6379, genre, 3756 6379, genre, 8905 4441, campuses, 4441 4441, educational_institution, 4441 4441, student, 2793 4441, student, 10024 10092, acted_in, 11279 13518, acted_in, 11279 13518, acted_in, 6743 6790, actor, 2780 6790, actor, 13518 6790, actor, 14213 6790, actor, 11513 6790, genre, 8905 6790, genre, 3301 12804, program, 6790 12804, program, 13029 12804, program, 5449 12804, program, 6802 12804, program, 13982 12804, titles, 320 12804, titles, 5449 12804, titles, 6802 11186, actor, 10106 11186, genre, 3756 11186, genre, 8905 8162, actor, 2793 8162, actor, 10106 8162, actor, 13518 8162, actor, 11513 13029, actor, 14213 13029, genre, 3756 13029, genre, 8905 5449, actor, 10106 5449, actor, 11513 5449, genre, 8905 6802, actor, 10106 6802, actor, 2780 6802, actor, 10092 6802, actor, 13518 6802, actor, 14213 6802, actor, 11513 6802, genre, 3756 6802, genre, 8905 13982, actor, 13518 13982, actor, 14213 12561, genre, 3756 12561, genre, 8905 13348, program, 6790 13348, program, 5449 13348, program, 6802 Question: How are Cary_Elwes, Porcupine_Tree, and The_Fairly_OddParents related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Cary_Elwes", "Porcupine_Tree", "The_Fairly_OddParents" ], "valid_edges": [ [ "A_Pup_Named_Scooby-Doo", "genre", "Animated_cartoon" ], [ "A_Pup_Named_Scooby-Doo", "genre", "Animated_series" ], [ "American_Dad!", "actor", "Dee_Bradley_Baker" ], [ "American_Dad!", "genre", "Animated_cartoon" ], [ "Animaniacs", "genre", "Animated_cartoon" ], [ "Avatar:_The_Last_Airbender", "actor", "Dee_Bradley_Baker" ], [ "Avatar:_The_Last_Airbender", "actor", "Grey_DeLisle" ], [ "Avatar:_The_Last_Airbender", "award_winner", "Nickelodeon" ], [ "Avatar:_The_Last_Airbender", "genre", "Animated_series" ], [ "Ben_10", "actor", "Dee_Bradley_Baker" ], [ "Ben_10", "actor", "Kevin_Michael_Richardson" ], [ "Ben_10", "actor", "Tara_Strong" ], [ "Ben_10", "genre", "Animated_series" ], [ "Britpop", "artists", "James_Blunt" ], [ "Britpop", "artists", "Porcupine_Tree" ], [ "Cartoon", "titles", "Animaniacs" ], [ "Cartoon", "titles", "Ben_10" ], [ "Cartoon", "titles", "Freakazoid!" ], [ "Cartoon", "titles", "SpongeBob_SquarePants" ], [ "Cartoon", "titles", "The_Fairly_OddParents" ], [ "Cartoon", "titles", "Tiny_Toon_Adventures" ], [ "Dee_Bradley_Baker", "acted_in", "Star_Wars:_The_Clone_Wars" ], [ "Disney's_House_of_Mouse", "actor", "Grey_DeLisle" ], [ "Disney's_House_of_Mouse", "actor", "Jason_Marsden" ], [ "Disney's_House_of_Mouse", "genre", "Animated_cartoon" ], [ "Disney's_House_of_Mouse", "genre", "Animated_series" ], [ "Freakazoid!", "genre", "Animated_cartoon" ], [ "Freakazoid!", "genre", "Animated_series" ], [ "Futurama", "genre", "Animated_cartoon" ], [ "Futurama", "genre", "Animated_series" ], [ "Harrow_School", "campuses", "Harrow_School" ], [ "Harrow_School", "educational_institution", "Harrow_School" ], [ "Harrow_School", "student", "Cary_Elwes" ], [ "Harrow_School", "student", "James_Blunt" ], [ "Jason_Marsden", "acted_in", "Batman:_Gotham_Knight" ], [ "Kevin_Michael_Richardson", "acted_in", "Batman:_Gotham_Knight" ], [ "Kevin_Michael_Richardson", "acted_in", "Star_Wars:_The_Clone_Wars" ], [ "Kid_vs._Kat", "actor", "Grey_DeLisle" ], [ "Kid_vs._Kat", "actor", "Kevin_Michael_Richardson" ], [ "Kid_vs._Kat", "actor", "Tara_Strong" ], [ "Kid_vs._Kat", "actor", "Tom_Kenny" ], [ "Kid_vs._Kat", "genre", "Animated_series" ], [ "Kid_vs._Kat", "genre", "Cartoon" ], [ "Nickelodeon", "program", "Kid_vs._Kat" ], [ "Nickelodeon", "program", "Rugrats" ], [ "Nickelodeon", "program", "SpongeBob_SquarePants" ], [ "Nickelodeon", "program", "The_Fairly_OddParents" ], [ "Nickelodeon", "program", "The_Penguins_of_Madagascar" ], [ "Nickelodeon", "titles", "Avatar:_The_Last_Airbender" ], [ "Nickelodeon", "titles", "SpongeBob_SquarePants" ], [ "Nickelodeon", "titles", "The_Fairly_OddParents" ], [ "Phineas_and_Ferb", "actor", "Dee_Bradley_Baker" ], [ "Phineas_and_Ferb", "genre", "Animated_cartoon" ], [ "Phineas_and_Ferb", "genre", "Animated_series" ], [ "Porco_Rosso", "actor", "Cary_Elwes" ], [ "Porco_Rosso", "actor", "Dee_Bradley_Baker" ], [ "Porco_Rosso", "actor", "Kevin_Michael_Richardson" ], [ "Porco_Rosso", "actor", "Tom_Kenny" ], [ "Rugrats", "actor", "Tara_Strong" ], [ "Rugrats", "genre", "Animated_cartoon" ], [ "Rugrats", "genre", "Animated_series" ], [ "SpongeBob_SquarePants", "actor", "Dee_Bradley_Baker" ], [ "SpongeBob_SquarePants", "actor", "Tom_Kenny" ], [ "SpongeBob_SquarePants", "genre", "Animated_series" ], [ "The_Fairly_OddParents", "actor", "Dee_Bradley_Baker" ], [ "The_Fairly_OddParents", "actor", "Grey_DeLisle" ], [ "The_Fairly_OddParents", "actor", "Jason_Marsden" ], [ "The_Fairly_OddParents", "actor", "Kevin_Michael_Richardson" ], [ "The_Fairly_OddParents", "actor", "Tara_Strong" ], [ "The_Fairly_OddParents", "actor", "Tom_Kenny" ], [ "The_Fairly_OddParents", "genre", "Animated_cartoon" ], [ "The_Fairly_OddParents", "genre", "Animated_series" ], [ "The_Penguins_of_Madagascar", "actor", "Kevin_Michael_Richardson" ], [ "The_Penguins_of_Madagascar", "actor", "Tara_Strong" ], [ "Tiny_Toon_Adventures", "genre", "Animated_cartoon" ], [ "Tiny_Toon_Adventures", "genre", "Animated_series" ], [ "YTV", "program", "Kid_vs._Kat" ], [ "YTV", "program", "SpongeBob_SquarePants" ], [ "YTV", "program", "The_Fairly_OddParents" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 12857, 65th_Academy_Awards 7730, 69th_Academy_Awards 7963, 69th_Golden_Globe_Awards 4725, A.K._Hangal 3086, Afghanistan 3644, Algeria 107, Alok_Nath 3587, Amrish_Puri 2416, Andorra 5336, Angola 10174, Anna_Karenina 357, Anu_Malik 906, Archery 8817, Armenia 6682, Asian_Development_Bank 14128, Atonement 5996, Azerbaijan 12642, BAFTA_Award_for_Best_Makeup_&_Hair 7858, Bahrain 9442, Bangladesh 6340, Beetlejuice 5083, Belarus 170, Ben_Kingsley 6776, Berlin_International_Film_Festival 12414, Bhutan 1128, Bolivia 7678, Bram_Stoker's_Dracula 7078, British_Independent_Film_Award_for_Best_Actress 10377, Brunei 4784, Cambodia 8068, Central_African_Republic 2004, Charlie_and_the_Chocolate_Factory 5480, Congo 8451, Costa_Rica 10349, Cuba 12402, Cyprus 6955, Côte_d’Ivoire 4170, Danny_Elfman 10156, Dominican_Republic 4148, Ecuador 7976, El_Salvador 13243, Equatorial_Guinea 5930, Eric_Fellner 9838, Eurasia 10014, European_Film_Award_for_Best_Actress 1910, European_Film_Award_for_Best_Composer 10035, Focus_Features 12903, Gabon 12125, Gandhi 2287, Ghana 8645, Girl_with_a_Pearl_Earring 2436, Golden_Globe_Award_for_Best_Foreign_Language_Film 2422, Golden_Lion 5293, Greco-Roman_wrestling 6102, Greek_Language 3031, Guatemala 12590, Historical_fiction 876, Hope_and_Glory 3809, House_of_Flying_Daggers 5437, Howards_End 2183, Iran 6908, Iraq 13430, Ismail_Merchant 8477, Jim_Broadbent 2373, Jim_Clark 2989, Jordan 10929, Keira_Knightley 9130, Kyrgyzstan 9845, Laos 10952, Lebanon 9625, Leo_Tolstoy 68, Lesotho 7449, Liberia 6074, Liechtenstein 11875, London_Film_Critics_Circle_Award_for_Director_of_the_Year 6502, Los_Angeles_Film_Critics_Association_Award_for_Best_Actress 4659, Luxembourg 4150, Malawi 11586, Maldives 1030, Mali 8757, Malta 88, Matthew_W._Mungle 1612, Mike_Leigh 13570, Moldova 5608, Monaco 7491, Mongolia 12041, Morocco 3632, Moulin_Rouge! 10058, Mumbai 11125, My_Week_with_Marilyn 3832, Myanmar 2233, Nepal 10853, New_York_Film_Critics_Circle_Award_for_Best_Actress 8020, Nicaragua 2322, Nigeria 8195, North_Korea 3595, Oman 7822, Orlando 9949, Palau 10153, Papua_New_Guinea 1498, Paraguay 11424, Persian_Language 8354, Philippe_Rousselot 1760, Pirates_of_the_Caribbean:_Dead_Man's_Chest 6806, Presidential_system 12979, Qatar 6463, Ralph_Fiennes 6992, Remake 4869, Republic 6355, Richard_A._Baker 12864, Russian 13742, Rwanda 3929, Samoa 11145, San_Marino 57, Satellite_Award_for_Best_Costume_Design 10684, Saudi_Arabia 1544, Schindler's_List 4310, Seychelles 4989, Sierra_Leone 14027, Sony_Pictures_Classics 2413, Sri_Lanka 2824, Standard_Mandarin 10878, Stuart_Craig 9561, Sylvia_Sidney 10417, Syria 3718, Taekwondo 3015, Tajikistan 2101, The_English_Patient 3608, The_Iron_Lady 2884, The_Killing_Fields 11888, The_Weinstein_Company 13337, Tim_Bevan 3748, Tim_Burton 12379, Timor-Leste 4009, Topsy_Turvy 3760, Tunisia 6571, Turkmenistan 6513, UK_Film_Council 4766, Unitary_state 2445, United_Arab_Emirates 2869, Uzbekistan 4590, Vanessa_Redgrave 9432, Ve_Neill 7724, Vera_Drake 6204, Working_Title_Films 1279, World_War_II 9743, Yemen-US src, edge_attr, dst 12857, award_winner, 88 12857, honored_for, 7678 12857, honored_for, 5437 7730, award_winner, 6355 7730, honored_for, 2101 7963, honored_for, 11125 7963, honored_for, 3608 4725, place_of_death, 10058 3086, adjoins, 2183 3086, adjoins, 6571 3086, adjoins, 2869 3086, organization, 6682 3644, form_of_government, 6806 107, acted_in, 12125 107, place_of_birth, 10058 3587, acted_in, 12125 3587, place_of_death, 10058 2416, form_of_government, 4766 5336, form_of_government, 6806 5336, form_of_government, 4766 10174, film_release_region, 12402 10174, film_release_region, 10952 10174, produced_by, 13337 10174, production_companies, 6204 10174, story_by, 9625 357, place_of_birth, 10058 906, country, 9442 906, country, 5083 906, country, 12414 906, country, 8068 906, country, 10349 906, country, 12402 906, country, 6955 906, country, 7976 906, country, 2183 906, country, 6908 906, country, 4659 906, country, 13570 906, country, 7491 906, country, 3832 906, country, 8195 906, country, 3929 906, country, 11145 906, country, 2413 906, country, 3015 8817, form_of_government, 6806 14128, award_winner, 5930 14128, award_winner, 10929 14128, award_winner, 13337 14128, award_winner, 4590 14128, produced_by, 5930 14128, production_companies, 6204 5996, form_of_government, 6806 5996, form_of_government, 4766 12642, award_winner, 6355 12642, award_winner, 9432 12642, nominated_for, 10174 12642, nominated_for, 14128 12642, nominated_for, 6340 12642, nominated_for, 7678 12642, nominated_for, 2004 12642, nominated_for, 12125 12642, nominated_for, 8645 12642, nominated_for, 876 12642, nominated_for, 3809 12642, nominated_for, 5437 12642, nominated_for, 3632 12642, nominated_for, 11125 12642, nominated_for, 7822 12642, nominated_for, 1760 12642, nominated_for, 1544 12642, nominated_for, 2101 12642, nominated_for, 3608 12642, nominated_for, 2884 12642, nominated_for, 7724 9442, form_of_government, 4766 6340, award_winner, 9432 6340, film_music, 4170 5083, form_of_government, 6806 170, acted_in, 1544 170, nominated_for, 12125 170, nominated_for, 1544 12414, form_of_government, 4766 1128, form_of_government, 6806 1128, form_of_government, 4766 7678, award_winner, 88 7678, crewmember, 88 7678, language, 6102 7078, nominated_for, 8645 7078, nominated_for, 3608 10377, form_of_government, 4766 4784, films, 2884 4784, form_of_government, 4766 2004, award_winner, 4170 2004, film_music, 4170 2004, film_regional_debut_venue, 6776 2004, film_release_region, 2445 2004, genre, 6992 5480, form_of_government, 6806 8451, form_of_government, 6806 8451, form_of_government, 4766 10349, form_of_government, 4766 12402, form_of_government, 6806 12402, form_of_government, 4766 6955, form_of_government, 6806 4170, nominated_for, 2004 10156, form_of_government, 4766 4148, form_of_government, 6806 4148, form_of_government, 4766 7976, form_of_government, 6806 13243, form_of_government, 6806 13243, form_of_government, 4766 5930, nominated_for, 10174 5930, nominated_for, 14128 9838, contains, 3086 9838, contains, 2416 9838, contains, 8817 9838, contains, 5996 9838, contains, 7858 9838, contains, 9442 9838, contains, 5083 9838, contains, 12414 9838, contains, 10377 9838, contains, 4784 9838, contains, 12402 9838, contains, 2183 9838, contains, 6908 9838, contains, 2989 9838, contains, 9130 9838, contains, 9845 9838, contains, 10952 9838, contains, 6074 9838, contains, 4659 9838, contains, 11586 9838, contains, 8757 9838, contains, 13570 9838, contains, 5608 9838, contains, 7491 9838, contains, 3832 9838, contains, 2233 9838, contains, 8195 9838, contains, 3595 9838, contains, 12979 9838, contains, 11145 9838, contains, 10684 9838, contains, 2413 9838, contains, 10417 9838, contains, 3015 9838, contains, 12379 9838, contains, 6571 9838, contains, 2445 9838, contains, 2869 9838, contains, 9743 10014, nominated_for, 7822 10014, nominated_for, 2101 10014, nominated_for, 7724 1910, nominated_for, 14128 1910, nominated_for, 8645 10035, film, 10174 10035, film, 14128 10035, film, 3809 10035, film, 4009 12903, form_of_government, 6806 12125, award_winner, 170 12125, film_production_design_by, 10878 12125, genre, 12590 2287, form_of_government, 6806 2287, form_of_government, 4766 8645, film_country, 4659 8645, production_companies, 6513 2436, nominated_for, 12125 2436, nominated_for, 3809 2422, nominated_for, 4009 5293, country, 9130 5293, country, 2869 3031, form_of_government, 6806 3031, form_of_government, 4766 876, award_winner, 8354 876, cinematography, 8354 3809, film_release_region, 12402 3809, language, 2824 5437, award_honor_award, 6502 5437, award_honor_award, 10853 5437, produced_by, 13430 2183, adjoins, 3086 2183, form_of_government, 4766 2183, official_language, 11424 13430, nominated_for, 5437 13430, place_of_birth, 10058 8477, acted_in, 3632 8477, acted_in, 3608 8477, acted_in, 4009 8477, acted_in, 7724 2373, nominated_for, 2884 2373, nominated_for, 7724 2989, form_of_government, 4766 10929, acted_in, 10174 10929, acted_in, 14128 10929, acted_in, 1760 10929, nominated_for, 10174 10929, nominated_for, 14128 10929, nominated_for, 1760 9130, adjoins, 3015 9130, adjoins, 2869 9130, form_of_government, 6806 9130, form_of_government, 4869 9130, organization, 6682 10952, form_of_government, 4766 68, form_of_government, 4766 7449, form_of_government, 6806 7449, form_of_government, 4766 6074, form_of_government, 4766 4659, form_of_government, 4766 4150, form_of_government, 6806 4150, form_of_government, 4766 11586, form_of_government, 6806 1030, form_of_government, 4766 88, award, 12642 88, nominated_for, 7678 88, nominated_for, 1544 1612, film, 7724 1612, nominated_for, 4009 1612, nominated_for, 7724 5608, form_of_government, 4766 12041, form_of_government, 4766 3632, award_honor_award, 57 3632, award_winner, 8477 3632, film_music, 357 3632, genre, 6992 11125, film_release_region, 10952 11125, film_release_region, 8757 11125, film_release_region, 2445 11125, genre, 12590 11125, production_companies, 11888 3832, form_of_government, 6806 3832, form_of_government, 4766 8020, form_of_government, 6806 8020, form_of_government, 4766 2322, form_of_government, 6806 8195, form_of_government, 4766 3595, form_of_government, 4766 7822, award_honor_award, 12642 7822, place, 7822 9949, form_of_government, 6806 9949, form_of_government, 4766 10153, form_of_government, 4766 1498, form_of_government, 6806 1498, form_of_government, 4766 11424, countries_spoken_in, 3086 11424, countries_spoken_in, 7858 11424, countries_spoken_in, 2183 11424, countries_spoken_in, 6908 11424, countries_spoken_in, 3595 11424, countries_spoken_in, 3015 11424, countries_spoken_in, 2869 8354, nominated_for, 2004 8354, nominated_for, 876 1760, crewmember, 9432 1760, language, 6102 1760, language, 2824 6463, acted_in, 1544 6463, acted_in, 2101 6463, nominated_for, 2101 6355, award, 12642 6355, award_nominee, 9432 6355, award_winner, 9432 12864, geographic_distribution, 5996 12864, geographic_distribution, 5083 12864, geographic_distribution, 9130 12864, geographic_distribution, 3015 12864, geographic_distribution, 6571 12864, geographic_distribution, 2869 12864, people, 9625 12864, people, 1612 12864, people, 9561 13742, form_of_government, 6806 13742, form_of_government, 4766 3929, form_of_government, 4766 57, nominated_for, 10174 57, nominated_for, 14128 57, nominated_for, 3809 10684, form_of_government, 4766 1544, award_honor_award, 11875 4310, form_of_government, 6806 4310, form_of_government, 4766 4989, form_of_government, 6806 4989, form_of_government, 4766 14027, film, 3809 14027, film, 5437 14027, film, 7822 14027, nominated_for, 3809 2413, form_of_government, 4766 2824, titles, 3809 10878, nominated_for, 12125 10878, nominated_for, 2101 9561, acted_in, 6340 10417, form_of_government, 4766 3718, country, 3086 3718, country, 3644 3718, country, 8817 3718, country, 5996 3718, country, 9442 3718, country, 12414 3718, country, 4784 3718, country, 8068 3718, country, 5480 3718, country, 8451 3718, country, 10349 3718, country, 6955 3718, country, 10156 3718, country, 12903 3718, country, 3031 3718, country, 2183 3718, country, 2989 3718, country, 9130 3718, country, 9845 3718, country, 10952 3718, country, 68 3718, country, 1030 3718, country, 5608 3718, country, 12041 3718, country, 3832 3718, country, 2233 3718, country, 2322 3718, country, 10153 3718, country, 12979 3718, country, 3929 3718, country, 3015 3718, country, 3760 3718, country, 2445 3718, country, 2869 3718, country, 9743 3015, adjoins, 3086 3015, adjoins, 9130 3015, adjoins, 2869 3015, form_of_government, 6806 3015, form_of_government, 4766 3015, official_language, 11424 2101, award_honor_award, 10014 2101, film_production_design_by, 10878 3608, award_honor_award, 10853 3608, film_regional_debut_venue, 6776 3608, film_release_region, 8757 3608, production_companies, 6513 2884, award_honor_award, 11875 2884, award_winner, 2373 2884, edited_by, 2373 11888, film, 3608 13337, nominated_for, 14128 3748, film, 6340 3748, film, 2004 3748, nominated_for, 2004 12379, form_of_government, 4766 4009, award_honor_award, 12642 4009, award_winner, 8477 4009, award_winner, 1612 4009, written_by, 1612 3760, form_of_government, 4766 6571, adjoins, 3086 6571, adjoins, 2869 6571, form_of_government, 6806 2445, form_of_government, 6806 2869, adjoins, 3086 2869, adjoins, 3015 2869, adjoins, 6571 2869, form_of_government, 6806 2869, form_of_government, 4869 4590, acted_in, 14128 4590, acted_in, 5437 4590, nominated_for, 14128 4590, nominated_for, 5437 9432, award, 12642 9432, award_nominee, 6355 9432, award_winner, 6355 9432, nominated_for, 6340 9432, nominated_for, 1760 7724, award, 7078 7724, award_honor_award, 7078 7724, award_honor_award, 10014 7724, award_honor_award, 2422 7724, award_honor_award, 6502 7724, award_honor_award, 10853 7724, award_winner, 1612 7724, edited_by, 2373 7724, production_companies, 6513 1279, films, 14128 1279, films, 876 1279, films, 1544 1279, films, 2101 1279, locations, 9838 9743, form_of_government, 6806 9743, form_of_government, 4766 Question: In what context are A.K._Hangal, BAFTA_Award_for_Best_Makeup_&_Hair, and Tajikistan connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "A.K._Hangal", "BAFTA_Award_for_Best_Makeup_&_Hair", "Tajikistan" ], "valid_edges": [ [ "65th_Academy_Awards", "award_winner", "Matthew_W._Mungle" ], [ "65th_Academy_Awards", "honored_for", "Bram_Stoker's_Dracula" ], [ "65th_Academy_Awards", "honored_for", "Howards_End" ], [ "69th_Academy_Awards", "award_winner", "Richard_A._Baker" ], [ "69th_Academy_Awards", "honored_for", "The_English_Patient" ], [ "69th_Golden_Globe_Awards", "honored_for", "My_Week_with_Marilyn" ], [ "69th_Golden_Globe_Awards", "honored_for", "The_Iron_Lady" ], [ "A.K._Hangal", "place_of_death", "Mumbai" ], [ "Afghanistan", "adjoins", "Iran" ], [ "Afghanistan", "adjoins", "Turkmenistan" ], [ "Afghanistan", "adjoins", "Uzbekistan" ], [ "Afghanistan", "organization", "Asian_Development_Bank" ], [ "Algeria", "form_of_government", "Presidential_system" ], [ "Alok_Nath", "acted_in", "Gandhi" ], [ "Alok_Nath", "place_of_birth", "Mumbai" ], [ "Amrish_Puri", "acted_in", "Gandhi" ], [ "Amrish_Puri", "place_of_death", "Mumbai" ], [ "Andorra", "form_of_government", "Unitary_state" ], [ "Angola", "form_of_government", "Presidential_system" ], [ "Angola", "form_of_government", "Unitary_state" ], [ "Anna_Karenina", "film_release_region", "Cyprus" ], [ "Anna_Karenina", "film_release_region", "Lebanon" ], [ "Anna_Karenina", "produced_by", "Tim_Bevan" ], [ "Anna_Karenina", "production_companies", "Working_Title_Films" ], [ "Anna_Karenina", "story_by", "Leo_Tolstoy" ], [ "Anu_Malik", "place_of_birth", "Mumbai" ], [ "Archery", "country", "Bangladesh" ], [ "Archery", "country", "Belarus" ], [ "Archery", "country", "Bhutan" ], [ "Archery", "country", "Central_African_Republic" ], [ "Archery", "country", "Cuba" ], [ "Archery", "country", "Cyprus" ], [ "Archery", "country", "Côte_d’Ivoire" ], [ "Archery", "country", "El_Salvador" ], [ "Archery", "country", "Iran" ], [ "Archery", "country", "Iraq" ], [ "Archery", "country", "Luxembourg" ], [ "Archery", "country", "Moldova" ], [ "Archery", "country", "Mongolia" ], [ "Archery", "country", "Myanmar" ], [ "Archery", "country", "North_Korea" ], [ "Archery", "country", "Samoa" ], [ "Archery", "country", "San_Marino" ], [ "Archery", "country", "Sri_Lanka" ], [ "Archery", "country", "Tajikistan" ], [ "Armenia", "form_of_government", "Presidential_system" ], [ "Atonement", "award_winner", "Eric_Fellner" ], [ "Atonement", "award_winner", "Keira_Knightley" ], [ "Atonement", "award_winner", "Tim_Bevan" ], [ "Atonement", "award_winner", "Vanessa_Redgrave" ], [ "Atonement", "produced_by", "Eric_Fellner" ], [ "Atonement", "production_companies", "Working_Title_Films" ], [ "Azerbaijan", "form_of_government", "Presidential_system" ], [ "Azerbaijan", "form_of_government", "Unitary_state" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "award_winner", "Richard_A._Baker" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "award_winner", "Ve_Neill" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Anna_Karenina" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Atonement" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Beetlejuice" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Bram_Stoker's_Dracula" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Charlie_and_the_Chocolate_Factory" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Gandhi" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Girl_with_a_Pearl_Earring" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Hope_and_Glory" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "House_of_Flying_Daggers" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Howards_End" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Moulin_Rouge!" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "My_Week_with_Marilyn" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Orlando" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", 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"Bram_Stoker's_Dracula", "award_winner", "Matthew_W._Mungle" ], [ "Bram_Stoker's_Dracula", "crewmember", "Matthew_W._Mungle" ], [ "Bram_Stoker's_Dracula", "language", "Greek_Language" ], [ "British_Independent_Film_Award_for_Best_Actress", "nominated_for", "Girl_with_a_Pearl_Earring" ], [ "British_Independent_Film_Award_for_Best_Actress", "nominated_for", "The_Iron_Lady" ], [ "Brunei", "form_of_government", "Unitary_state" ], [ "Cambodia", "films", "The_Killing_Fields" ], [ "Cambodia", "form_of_government", "Unitary_state" ], [ "Charlie_and_the_Chocolate_Factory", "award_winner", "Danny_Elfman" ], [ "Charlie_and_the_Chocolate_Factory", "film_music", "Danny_Elfman" ], [ "Charlie_and_the_Chocolate_Factory", "film_regional_debut_venue", "Berlin_International_Film_Festival" ], [ "Charlie_and_the_Chocolate_Factory", "film_release_region", "United_Arab_Emirates" ], [ "Charlie_and_the_Chocolate_Factory", "genre", "Remake" ], [ "Congo", "form_of_government", "Presidential_system" ], [ "Costa_Rica", "form_of_government", "Presidential_system" ], [ "Costa_Rica", "form_of_government", "Unitary_state" ], [ "Cuba", "form_of_government", "Unitary_state" ], [ "Cyprus", "form_of_government", "Presidential_system" ], [ "Cyprus", "form_of_government", "Unitary_state" ], [ "Côte_d’Ivoire", "form_of_government", "Presidential_system" ], [ "Danny_Elfman", "nominated_for", "Charlie_and_the_Chocolate_Factory" ], [ "Dominican_Republic", "form_of_government", "Unitary_state" ], [ "Ecuador", "form_of_government", "Presidential_system" ], [ "Ecuador", "form_of_government", "Unitary_state" ], [ "El_Salvador", "form_of_government", "Presidential_system" ], [ "Equatorial_Guinea", "form_of_government", "Presidential_system" ], [ "Equatorial_Guinea", "form_of_government", "Unitary_state" ], [ "Eric_Fellner", "nominated_for", "Anna_Karenina" ], [ "Eric_Fellner", "nominated_for", "Atonement" ], [ "Eurasia", "contains", "Afghanistan" ], [ "Eurasia", "contains", "Andorra" ], [ "Eurasia", 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"Philippe_Rousselot" ], [ "Hope_and_Glory", "cinematography", "Philippe_Rousselot" ], [ "House_of_Flying_Daggers", "film_release_region", "Cyprus" ], [ "House_of_Flying_Daggers", "language", "Standard_Mandarin" ], [ "Howards_End", "award_honor_award", "Los_Angeles_Film_Critics_Association_Award_for_Best_Actress" ], [ "Howards_End", "award_honor_award", "New_York_Film_Critics_Circle_Award_for_Best_Actress" ], [ "Howards_End", "produced_by", "Ismail_Merchant" ], [ "Iran", "adjoins", "Afghanistan" ], [ "Iran", "form_of_government", "Unitary_state" ], [ "Iran", "official_language", "Persian_Language" ], [ "Ismail_Merchant", "nominated_for", "Howards_End" ], [ "Ismail_Merchant", "place_of_birth", "Mumbai" ], [ "Jim_Broadbent", "acted_in", "Moulin_Rouge!" ], [ "Jim_Broadbent", "acted_in", "The_Iron_Lady" ], [ "Jim_Broadbent", "acted_in", "Topsy_Turvy" ], [ "Jim_Broadbent", "acted_in", "Vera_Drake" ], [ "Jim_Clark", "nominated_for", "The_Killing_Fields" ], [ "Jim_Clark", "nominated_for", 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"Luxembourg", "form_of_government", "Unitary_state" ], [ "Malawi", "form_of_government", "Presidential_system" ], [ "Malawi", "form_of_government", "Unitary_state" ], [ "Maldives", "form_of_government", "Presidential_system" ], [ "Mali", "form_of_government", "Unitary_state" ], [ "Matthew_W._Mungle", "award", "BAFTA_Award_for_Best_Makeup_&_Hair" ], [ "Matthew_W._Mungle", "nominated_for", "Bram_Stoker's_Dracula" ], [ "Matthew_W._Mungle", "nominated_for", "Schindler's_List" ], [ "Mike_Leigh", "film", "Vera_Drake" ], [ "Mike_Leigh", "nominated_for", "Topsy_Turvy" ], [ "Mike_Leigh", "nominated_for", "Vera_Drake" ], [ "Monaco", "form_of_government", "Unitary_state" ], [ "Morocco", "form_of_government", "Unitary_state" ], [ "Moulin_Rouge!", "award_honor_award", "Satellite_Award_for_Best_Costume_Design" ], [ "Moulin_Rouge!", "award_winner", "Jim_Broadbent" ], [ "Moulin_Rouge!", "film_music", "Anu_Malik" ], [ "Moulin_Rouge!", "genre", "Remake" ], [ "My_Week_with_Marilyn", "film_release_region", "Lebanon" ], [ "My_Week_with_Marilyn", "film_release_region", "Malta" ], [ "My_Week_with_Marilyn", "film_release_region", "United_Arab_Emirates" ], [ "My_Week_with_Marilyn", "genre", "Historical_fiction" ], [ "My_Week_with_Marilyn", "production_companies", "The_Weinstein_Company" ], [ "Myanmar", "form_of_government", "Presidential_system" ], [ "Myanmar", "form_of_government", "Unitary_state" ], [ "Nicaragua", "form_of_government", "Presidential_system" ], [ "Nicaragua", "form_of_government", "Unitary_state" ], [ "Nigeria", "form_of_government", "Presidential_system" ], [ "North_Korea", "form_of_government", "Unitary_state" ], [ "Oman", "form_of_government", "Unitary_state" ], [ "Orlando", "award_honor_award", "BAFTA_Award_for_Best_Makeup_&_Hair" ], [ "Orlando", "place", "Orlando" ], [ "Palau", "form_of_government", "Presidential_system" ], [ "Palau", "form_of_government", "Unitary_state" ], [ "Papua_New_Guinea", "form_of_government", "Unitary_state" ], [ "Paraguay", "form_of_government", "Presidential_system" ], [ "Paraguay", "form_of_government", "Unitary_state" ], [ "Persian_Language", "countries_spoken_in", "Afghanistan" ], [ "Persian_Language", "countries_spoken_in", "Bahrain" ], [ "Persian_Language", "countries_spoken_in", "Iran" ], [ "Persian_Language", "countries_spoken_in", "Iraq" ], [ "Persian_Language", "countries_spoken_in", "Oman" ], [ "Persian_Language", "countries_spoken_in", "Tajikistan" ], [ "Persian_Language", "countries_spoken_in", "Uzbekistan" ], [ "Philippe_Rousselot", "nominated_for", "Charlie_and_the_Chocolate_Factory" ], [ "Philippe_Rousselot", "nominated_for", "Hope_and_Glory" ], [ "Pirates_of_the_Caribbean:_Dead_Man's_Chest", "crewmember", "Ve_Neill" ], [ "Pirates_of_the_Caribbean:_Dead_Man's_Chest", "language", "Greek_Language" ], [ "Pirates_of_the_Caribbean:_Dead_Man's_Chest", "language", "Standard_Mandarin" ], [ "Ralph_Fiennes", "acted_in", "Schindler's_List" ], [ "Ralph_Fiennes", "acted_in", "The_English_Patient" ], [ "Ralph_Fiennes", "nominated_for", "The_English_Patient" ], [ "Richard_A._Baker", "award", "BAFTA_Award_for_Best_Makeup_&_Hair" ], [ "Richard_A._Baker", "award_nominee", "Ve_Neill" ], [ "Richard_A._Baker", "award_winner", "Ve_Neill" ], [ "Russian", "geographic_distribution", "Azerbaijan" ], [ "Russian", "geographic_distribution", "Belarus" ], [ "Russian", "geographic_distribution", "Kyrgyzstan" ], [ "Russian", "geographic_distribution", "Tajikistan" ], [ "Russian", "geographic_distribution", "Turkmenistan" ], [ "Russian", "geographic_distribution", "Uzbekistan" ], [ "Russian", "people", "Leo_Tolstoy" ], [ "Russian", "people", "Mike_Leigh" ], [ "Russian", "people", "Sylvia_Sidney" ], [ "Rwanda", "form_of_government", "Presidential_system" ], [ "Rwanda", "form_of_government", "Unitary_state" ], [ "Samoa", "form_of_government", "Unitary_state" ], [ "Satellite_Award_for_Best_Costume_Design", "nominated_for", "Anna_Karenina" ], [ "Satellite_Award_for_Best_Costume_Design", "nominated_for", "Atonement" ], [ "Satellite_Award_for_Best_Costume_Design", "nominated_for", "House_of_Flying_Daggers" ], [ "Saudi_Arabia", "form_of_government", "Unitary_state" ], [ "Schindler's_List", "award_honor_award", "London_Film_Critics_Circle_Award_for_Director_of_the_Year" ], [ "Seychelles", "form_of_government", "Presidential_system" ], [ "Seychelles", "form_of_government", "Unitary_state" ], [ "Sierra_Leone", "form_of_government", "Presidential_system" ], [ "Sierra_Leone", "form_of_government", "Unitary_state" ], [ "Sony_Pictures_Classics", "film", "House_of_Flying_Daggers" ], [ "Sony_Pictures_Classics", "film", "Howards_End" ], [ "Sony_Pictures_Classics", "film", "Orlando" ], [ "Sony_Pictures_Classics", "nominated_for", "House_of_Flying_Daggers" ], [ "Sri_Lanka", "form_of_government", "Unitary_state" ], [ "Standard_Mandarin", "titles", "House_of_Flying_Daggers" ], [ "Stuart_Craig", "nominated_for", "Gandhi" ], [ "Stuart_Craig", "nominated_for", "The_English_Patient" ], [ "Sylvia_Sidney", "acted_in", "Beetlejuice" ], [ "Syria", "form_of_government", "Unitary_state" ], [ "Taekwondo", "country", "Afghanistan" ], [ "Taekwondo", "country", "Algeria" ], [ "Taekwondo", "country", "Armenia" ], [ "Taekwondo", "country", "Azerbaijan" ], [ "Taekwondo", "country", "Bangladesh" ], [ "Taekwondo", "country", "Bhutan" ], [ "Taekwondo", "country", "Cambodia" ], [ "Taekwondo", "country", "Central_African_Republic" ], [ "Taekwondo", "country", "Congo" ], [ "Taekwondo", "country", "Costa_Rica" ], [ "Taekwondo", "country", "Cuba" ], [ "Taekwondo", "country", "Côte_d’Ivoire" ], [ "Taekwondo", "country", "Dominican_Republic" ], [ "Taekwondo", "country", "Gabon" ], [ "Taekwondo", "country", "Guatemala" ], [ "Taekwondo", "country", "Iran" ], [ "Taekwondo", "country", "Jordan" ], [ "Taekwondo", "country", "Kyrgyzstan" ], [ "Taekwondo", "country", "Laos" ], [ "Taekwondo", "country", "Lebanon" ], [ "Taekwondo", "country", "Lesotho" ], [ "Taekwondo", "country", "Mali" ], [ "Taekwondo", "country", "Monaco" ], [ "Taekwondo", "country", "Morocco" ], [ "Taekwondo", "country", "Myanmar" ], [ "Taekwondo", "country", "Nepal" ], [ "Taekwondo", "country", "Nigeria" ], [ "Taekwondo", "country", "Papua_New_Guinea" ], [ "Taekwondo", "country", "Qatar" ], [ "Taekwondo", "country", "Samoa" ], [ "Taekwondo", "country", "Tajikistan" ], [ "Taekwondo", "country", "Tunisia" ], [ "Taekwondo", "country", "United_Arab_Emirates" ], [ "Taekwondo", "country", "Uzbekistan" ], [ "Taekwondo", "country", "Yemen-US" ], [ "Tajikistan", "adjoins", "Afghanistan" ], [ "Tajikistan", "adjoins", "Kyrgyzstan" ], [ "Tajikistan", "adjoins", "Uzbekistan" ], [ "Tajikistan", "form_of_government", "Presidential_system" ], [ "Tajikistan", "form_of_government", "Unitary_state" ], [ "Tajikistan", "official_language", "Persian_Language" ], [ "The_English_Patient", "award_honor_award", "European_Film_Award_for_Best_Actress" ], [ "The_English_Patient", "film_production_design_by", "Stuart_Craig" ], [ "The_Iron_Lady", "award_honor_award", "New_York_Film_Critics_Circle_Award_for_Best_Actress" ], [ "The_Iron_Lady", "film_regional_debut_venue", "Berlin_International_Film_Festival" ], [ "The_Iron_Lady", "film_release_region", "Malta" ], [ "The_Iron_Lady", "production_companies", "UK_Film_Council" ], [ "The_Killing_Fields", "award_honor_award", "London_Film_Critics_Circle_Award_for_Director_of_the_Year" ], [ "The_Killing_Fields", "award_winner", "Jim_Clark" ], [ "The_Killing_Fields", "edited_by", "Jim_Clark" ], [ "The_Weinstein_Company", "film", "The_Iron_Lady" ], [ "Tim_Bevan", "nominated_for", "Atonement" ], [ "Tim_Burton", "film", "Beetlejuice" ], [ "Tim_Burton", "film", "Charlie_and_the_Chocolate_Factory" ], [ "Tim_Burton", "nominated_for", "Charlie_and_the_Chocolate_Factory" ], [ "Timor-Leste", "form_of_government", "Unitary_state" ], [ "Topsy_Turvy", "award_honor_award", "BAFTA_Award_for_Best_Makeup_&_Hair" ], [ "Topsy_Turvy", "award_winner", "Jim_Broadbent" ], [ "Topsy_Turvy", "award_winner", "Mike_Leigh" ], [ "Topsy_Turvy", "written_by", "Mike_Leigh" ], [ "Tunisia", "form_of_government", "Unitary_state" ], [ "Turkmenistan", "adjoins", "Afghanistan" ], [ "Turkmenistan", "adjoins", "Uzbekistan" ], [ "Turkmenistan", "form_of_government", "Presidential_system" ], [ "United_Arab_Emirates", "form_of_government", "Presidential_system" ], [ "Uzbekistan", "adjoins", "Afghanistan" ], [ "Uzbekistan", "adjoins", "Tajikistan" ], [ "Uzbekistan", "adjoins", "Turkmenistan" ], [ "Uzbekistan", "form_of_government", "Presidential_system" ], [ "Uzbekistan", "form_of_government", "Republic" ], [ "Vanessa_Redgrave", "acted_in", "Atonement" ], [ "Vanessa_Redgrave", "acted_in", "Howards_End" ], [ "Vanessa_Redgrave", "nominated_for", "Atonement" ], [ "Vanessa_Redgrave", "nominated_for", "Howards_End" ], [ "Ve_Neill", "award", "BAFTA_Award_for_Best_Makeup_&_Hair" ], [ "Ve_Neill", "award_nominee", "Richard_A._Baker" ], [ "Ve_Neill", "award_winner", "Richard_A._Baker" ], [ "Ve_Neill", "nominated_for", "Beetlejuice" ], [ "Ve_Neill", "nominated_for", "Pirates_of_the_Caribbean:_Dead_Man's_Chest" ], [ "Vera_Drake", "award", "British_Independent_Film_Award_for_Best_Actress" ], [ "Vera_Drake", "award_honor_award", "British_Independent_Film_Award_for_Best_Actress" ], [ "Vera_Drake", "award_honor_award", "European_Film_Award_for_Best_Actress" ], [ "Vera_Drake", "award_honor_award", "Golden_Lion" ], [ "Vera_Drake", "award_honor_award", "Los_Angeles_Film_Critics_Association_Award_for_Best_Actress" ], [ "Vera_Drake", "award_honor_award", "New_York_Film_Critics_Circle_Award_for_Best_Actress" ], [ "Vera_Drake", "award_winner", "Mike_Leigh" ], [ "Vera_Drake", "edited_by", "Jim_Clark" ], [ "Vera_Drake", "production_companies", "UK_Film_Council" ], [ "World_War_II", "films", "Atonement" ], [ "World_War_II", "films", "Hope_and_Glory" ], [ "World_War_II", "films", "Schindler's_List" ], [ "World_War_II", "films", "The_English_Patient" ], [ "World_War_II", "locations", "Eurasia" ], [ "Yemen-US", "form_of_government", "Presidential_system" ], [ "Yemen-US", "form_of_government", "Unitary_state" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 7962, 1912_Summer_Olympics 13488, Albert_Camus 3821, Aldous_Huxley 8918, Aleksandr_Pushkin 12306, Allen_Ginsberg 5452, Anton_Chekhov 11007, Aristotle 10425, Arthur_Schopenhauer 3253, Ashkenazi_Jews 13533, August_Strindberg 13869, Austria-Hungary 8220, Baruch_Spinoza 13140, Bohemia 13932, Bus 94, Charles_Baudelaire 10359, Charles_Darwin 3022, Charles_Dickens 1038, Christopher_Hitchens 11949, Cormac_McCarthy 11377, D._H._Lawrence 4134, Daniel_Handler 8637, Don_DeLillo 9479, Edgar_Allan_Poe 2996, Frankfurt 13463, Franz_Kafka 9088, G._K._Chesterton 13581, Gautama_Buddha 12368, Gene_Wolfe 294, Georg_Wilhelm_Friedrich_Hegel 5123, George_Bernard_Shaw 13448, George_Orwell 1947, George_R._R._Martin 11101, Gilles_Deleuze 6630, Gore_Vidal 9864, Gustave_Flaubert 9515, Harlan_Ellison 4719, Harold_Pinter 9733, Henri_Bergson 157, Henrik_Ibsen 1462, Henry_David_Thoreau 1221, Henry_James 3671, Herman_Melville 11956, Hermann_Hesse 2782, Ian_McEwan 5391, Immanuel_Kant 4360, Italo_Calvino 5156, J._D._Salinger 10004, J._M._Coetzee 5770, Jacques_Lacan 3398, Jean-Jacques_Rousseau 11833, Jean-Paul_Sartre 4526, Jim_Morrison 3100, Johann_Wolfgang_von_Goethe 9581, John_Irving 6877, John_Steinbeck 13821, John_Updike 13768, Jonathan_Lethem 6670, Joseph_Campbell 13505, Joseph_Conrad 179, Joseph_Heller 7002, Joyce_Carol_Oates 10808, Karl_Marx 12117, Kurt_Vonnegut 9625, Leo_Tolstoy 6943, Ludwig_Wittgenstein 8450, Marcel_Proust 10101, Margaret_Atwood 11013, Mark_Twain 4379, Maya_Angelou 3425, Michael_Haneke 5365, Miguel_de_Cervantes 4900, National_Book_Award_for_Fiction 113, Nobel_Prize_in_Literature 2335, Norman_Mailer 11747, Oliver_Twist 7505, Paul_Auster 1303, Philip_Roth 9376, Plato 2729, Prague 11987, Pulitzer_Prize_for_Fiction 8877, Ray_Bradbury 2831, Richard_Wagner 4514, Robert_Louis_Stevenson 7875, Salman_Rushdie 11538, Samuel_Beckett 5595, Saul_Bellow 1126, Sigmund_Freud 9296, Stockholm 1196, Swedish_Empire 8475, T._S._Eliot 11240, Theodor_W._Adorno 1721, Thomas_Hardy 4926, Thomas_Mann 12895, Thomas_Pynchon 2783, Tom_Wolfe 10573, Toni_Morrison 6939, Truman_Capote 84, Tuberculosis 4882, Ursula_K._Le_Guin 8423, Victor_Hugo 13234, Vladimir_Vladimirovich_Nabokov 5812, Walter_Benjamin 9362, William_Faulkner 1390, Zürich src, edge_attr, dst 7962, locations, 9296 13488, award, 113 13488, influenced_by, 13463 13488, influenced_by, 3671 13488, influenced_by, 1126 3821, award, 113 3821, influenced_by, 3022 8918, influenced_by, 3100 12306, influenced_by, 13463 12306, influenced_by, 3671 5452, influenced_by, 9625 10425, influenced_by, 11007 10425, influenced_by, 10425 10425, influenced_by, 8220 10425, influenced_by, 13581 10425, influenced_by, 5391 10425, influenced_by, 3100 10425, influenced_by, 9376 10425, location, 2996 10425, place_of_death, 2996 3253, people, 13463 3253, people, 1126 13533, place_of_death, 9296 13869, contains, 13140 13140, combatants, 1196 13140, contains, 2729 13140, olympics, 7962 94, influenced_by, 9479 10359, influenced_by, 3100 3022, influenced_by, 5365 3022, influenced_by, 8423 1038, influenced_by, 6630 1038, influenced_by, 179 1038, influenced_by, 5595 11949, award, 4900 11949, influenced_by, 3671 11949, influenced_by, 9362 11377, influenced_by, 10425 11377, influenced_by, 3671 11377, influenced_by, 1126 4134, influenced_by, 9479 4134, influenced_by, 13463 8637, award, 4900 8637, influenced_by, 13463 8637, influenced_by, 2335 8637, influenced_by, 5595 8637, influenced_by, 9362 9479, influenced_by, 3022 13463, influenced_by, 10425 13463, influenced_by, 13533 13463, influenced_by, 3022 13463, influenced_by, 9479 13463, influenced_by, 9088 13463, influenced_by, 9864 13463, influenced_by, 3100 13463, influenced_by, 4926 13463, location, 2729 13463, nationality, 13869 13463, place_of_birth, 2729 9088, award, 113 9088, influenced_by, 3022 12368, influenced_by, 3022 12368, influenced_by, 3671 294, influenced_by, 3100 5123, award, 113 5123, influenced_by, 10425 5123, influenced_by, 3022 5123, influenced_by, 2831 13448, influenced_by, 3022 13448, influenced_by, 9625 1947, influenced_by, 3022 1947, influenced_by, 9362 11101, influenced_by, 1126 11101, influenced_by, 9362 6630, award, 4900 6630, influenced_by, 1221 6630, influenced_by, 11013 6630, influenced_by, 4926 6630, influenced_by, 6939 9864, influenced_by, 3100 9515, influenced_by, 9479 9515, influenced_by, 13463 4719, influenced_by, 13463 9733, award, 113 9733, influenced_by, 10425 157, award, 113 1462, influenced_by, 3100 1221, award, 113 1221, influenced_by, 3022 1221, influenced_by, 9479 3671, influenced_by, 9479 3671, influenced_by, 1462 3671, influenced_by, 5365 11956, award, 113 11956, influenced_by, 10425 11956, influenced_by, 8220 11956, influenced_by, 13581 11956, influenced_by, 3100 11956, influenced_by, 9376 11956, influenced_by, 4926 2782, influenced_by, 13463 2782, influenced_by, 5595 4360, influenced_by, 9479 4360, influenced_by, 13463 5156, award, 4900 5156, influenced_by, 13463 5156, influenced_by, 9625 10004, influenced_by, 13463 10004, influenced_by, 9362 5770, influenced_by, 1126 5770, influenced_by, 11240 11833, influenced_by, 10425 11833, influenced_by, 13463 11833, influenced_by, 1126 4526, influenced_by, 6670 4526, influenced_by, 2335 3100, influenced_by, 8220 3100, influenced_by, 5391 3100, influenced_by, 3398 3100, location, 2996 3100, place_of_birth, 2996 9581, award, 4900 9581, influenced_by, 3022 6877, award, 4900 6877, award, 113 6877, influenced_by, 9362 6877, peers, 6670 13821, award, 4900 13821, influenced_by, 10425 13821, influenced_by, 13463 13768, influenced_by, 3022 13768, influenced_by, 13463 13768, influenced_by, 5595 6670, influenced_by, 10425 6670, influenced_by, 1126 6670, influenced_by, 4926 6670, peers, 6877 179, award, 4900 179, influenced_by, 13488 179, influenced_by, 13463 179, influenced_by, 11538 179, influenced_by, 4926 179, influenced_by, 9362 7002, influenced_by, 3022 7002, influenced_by, 9479 7002, influenced_by, 13463 7002, influenced_by, 9362 10808, influenced_by, 3022 10808, influenced_by, 3100 12117, award, 4900 12117, influenced_by, 179 9625, award, 113 9625, influenced_by, 8918 9625, influenced_by, 11007 9625, influenced_by, 10425 9625, influenced_by, 3022 9625, influenced_by, 13581 9625, influenced_by, 1462 9625, influenced_by, 3398 9625, influenced_by, 9376 9625, influenced_by, 8423 6943, influenced_by, 10425 6943, influenced_by, 3100 6943, influenced_by, 9625 6943, influenced_by, 1126 8450, influenced_by, 10425 8450, influenced_by, 9479 8450, influenced_by, 9625 10101, influenced_by, 3022 10101, influenced_by, 9625 11013, influenced_by, 3022 4379, influenced_by, 3022 4379, influenced_by, 9479 3425, influenced_by, 13463 3425, influenced_by, 6943 3425, influenced_by, 11240 3425, influenced_by, 4926 4900, award_winner, 11949 4900, award_winner, 13821 4900, award_winner, 7002 4900, award_winner, 1303 4900, award_winner, 5595 4900, award_winner, 9362 113, award_winner, 13488 113, award_winner, 4719 113, award_winner, 9733 113, award_winner, 11956 113, award_winner, 10004 113, award_winner, 6877 113, award_winner, 11538 113, award_winner, 5595 113, award_winner, 8475 113, award_winner, 4926 113, award_winner, 10573 113, award_winner, 9362 2335, award, 4900 2335, award, 11987 2335, influenced_by, 1221 2335, influenced_by, 9625 2335, influenced_by, 8450 2335, influenced_by, 4926 2335, influenced_by, 9362 11747, story_by, 3022 7505, influenced_by, 3022 7505, influenced_by, 9479 7505, influenced_by, 13463 7505, influenced_by, 3671 7505, influenced_by, 9625 7505, influenced_by, 9362 1303, award, 4900 1303, influenced_by, 13463 1303, influenced_by, 9625 1303, influenced_by, 5595 1303, influenced_by, 9362 11987, award_winner, 2335 11987, award_winner, 5595 11987, award_winner, 9362 8877, influenced_by, 3022 8877, influenced_by, 9479 2831, influenced_by, 10425 2831, influenced_by, 3100 4514, influenced_by, 3022 4514, influenced_by, 9479 7875, influenced_by, 13463 7875, influenced_by, 5595 11538, influenced_by, 10425 11538, influenced_by, 13463 11538, influenced_by, 3100 5595, award, 4900 5595, influenced_by, 5452 5595, influenced_by, 13463 5595, influenced_by, 13505 5595, influenced_by, 8450 5595, influenced_by, 11013 5595, influenced_by, 5365 5595, influenced_by, 4926 5595, peers, 1303 1126, award, 113 1126, influenced_by, 10425 1126, influenced_by, 8220 1126, influenced_by, 10359 1126, influenced_by, 157 1126, influenced_by, 3100 9296, mode_of_transportation, 13932 1196, capital, 9296 8475, award, 113 8475, influenced_by, 3022 11240, influenced_by, 94 11240, influenced_by, 13463 11240, influenced_by, 294 11240, influenced_by, 5391 11240, influenced_by, 10808 11240, influenced_by, 6943 11240, influenced_by, 8450 11240, influenced_by, 11538 11240, influenced_by, 1126 11240, influenced_by, 4926 11240, peers, 5812 11240, place_of_birth, 2996 1721, award, 113 1721, influenced_by, 10425 1721, influenced_by, 3022 4926, award, 4900 4926, influenced_by, 10425 4926, influenced_by, 9479 4926, influenced_by, 3671 4926, influenced_by, 11956 4926, influenced_by, 3100 4926, influenced_by, 9625 4926, influenced_by, 2831 4926, influenced_by, 1126 4926, place_of_death, 1390 12895, award, 4900 12895, influenced_by, 3671 12895, influenced_by, 3100 12895, influenced_by, 2335 12895, influenced_by, 5595 2783, award, 4900 2783, influenced_by, 3022 2783, influenced_by, 2335 10573, award, 4900 10573, influenced_by, 3671 10573, influenced_by, 9362 6939, award, 4900 6939, influenced_by, 9479 6939, influenced_by, 6630 6939, influenced_by, 2335 6939, influenced_by, 9362 84, people, 9479 84, people, 13463 4882, award, 4900 4882, influenced_by, 9625 13234, award, 4900 13234, influenced_by, 9479 13234, influenced_by, 13463 13234, influenced_by, 9625 5812, influenced_by, 13463 5812, influenced_by, 11240 5812, peers, 11240 9362, award, 4900 9362, award, 113 9362, influenced_by, 3022 9362, influenced_by, 9479 9362, influenced_by, 9864 9362, influenced_by, 3671 9362, influenced_by, 13505 9362, influenced_by, 9625 9362, influenced_by, 11013 9362, influenced_by, 5365 9362, influenced_by, 8475 9362, influenced_by, 4926 1390, mode_of_transportation, 13932 Question: For what reason are 1912_Summer_Olympics, Oliver_Twist, and Thomas_Mann associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "1912_Summer_Olympics", "Oliver_Twist", "Thomas_Mann" ], "valid_edges": [ [ "1912_Summer_Olympics", "locations", "Stockholm" ], [ "Albert_Camus", "award", "Nobel_Prize_in_Literature" ], [ "Albert_Camus", "influenced_by", "Franz_Kafka" ], [ "Albert_Camus", "influenced_by", "Herman_Melville" ], [ "Albert_Camus", "influenced_by", "Sigmund_Freud" ], [ "Aldous_Huxley", "award", "Nobel_Prize_in_Literature" ], [ "Aldous_Huxley", "influenced_by", "Charles_Dickens" ], [ "Aleksandr_Pushkin", "influenced_by", "Johann_Wolfgang_von_Goethe" ], [ "Allen_Ginsberg", "influenced_by", "Franz_Kafka" ], [ "Allen_Ginsberg", "influenced_by", "Herman_Melville" ], [ "Anton_Chekhov", "influenced_by", "Leo_Tolstoy" ], [ "Arthur_Schopenhauer", "influenced_by", "Aristotle" ], [ "Arthur_Schopenhauer", "influenced_by", "Arthur_Schopenhauer" ], [ "Arthur_Schopenhauer", "influenced_by", "Baruch_Spinoza" ], [ "Arthur_Schopenhauer", "influenced_by", "Gautama_Buddha" ], [ "Arthur_Schopenhauer", "influenced_by", "Immanuel_Kant" ], [ "Arthur_Schopenhauer", "influenced_by", "Johann_Wolfgang_von_Goethe" ], [ "Arthur_Schopenhauer", "influenced_by", "Plato" ], [ "Arthur_Schopenhauer", "location", "Frankfurt" ], [ "Arthur_Schopenhauer", "place_of_death", "Frankfurt" ], [ "Ashkenazi_Jews", "people", "Franz_Kafka" ], [ "Ashkenazi_Jews", "people", "Sigmund_Freud" ], [ "August_Strindberg", "place_of_death", "Stockholm" ], [ "Austria-Hungary", "contains", "Bohemia" ], [ "Bohemia", "combatants", "Swedish_Empire" ], [ "Bohemia", "contains", "Prague" ], [ "Bohemia", "olympics", "1912_Summer_Olympics" ], [ "Charles_Baudelaire", "influenced_by", "Edgar_Allan_Poe" ], [ "Charles_Darwin", "influenced_by", "Johann_Wolfgang_von_Goethe" ], [ "Charles_Dickens", "influenced_by", "Miguel_de_Cervantes" ], [ "Charles_Dickens", "influenced_by", "Victor_Hugo" ], [ "Christopher_Hitchens", "influenced_by", "Gore_Vidal" ], [ "Christopher_Hitchens", "influenced_by", "Joseph_Heller" ], [ "Christopher_Hitchens", "influenced_by", "Saul_Bellow" ], [ "Cormac_McCarthy", "award", "National_Book_Award_for_Fiction" ], [ "Cormac_McCarthy", "influenced_by", "Herman_Melville" ], [ "Cormac_McCarthy", "influenced_by", "William_Faulkner" ], [ "D._H._Lawrence", "influenced_by", "Arthur_Schopenhauer" ], [ "D._H._Lawrence", "influenced_by", "Herman_Melville" ], [ "D._H._Lawrence", "influenced_by", "Sigmund_Freud" ], [ "Daniel_Handler", "influenced_by", "Edgar_Allan_Poe" ], [ "Daniel_Handler", "influenced_by", "Franz_Kafka" ], [ "Don_DeLillo", "award", "National_Book_Award_for_Fiction" ], [ "Don_DeLillo", "influenced_by", "Franz_Kafka" ], [ "Don_DeLillo", "influenced_by", "Norman_Mailer" ], [ "Don_DeLillo", "influenced_by", "Saul_Bellow" ], [ "Don_DeLillo", "influenced_by", "William_Faulkner" ], [ "Edgar_Allan_Poe", "influenced_by", "Charles_Dickens" ], [ "Franz_Kafka", "influenced_by", "Arthur_Schopenhauer" ], [ "Franz_Kafka", "influenced_by", "August_Strindberg" ], [ "Franz_Kafka", "influenced_by", "Charles_Dickens" ], [ "Franz_Kafka", "influenced_by", "Edgar_Allan_Poe" ], [ "Franz_Kafka", "influenced_by", "G._K._Chesterton" ], [ "Franz_Kafka", "influenced_by", "Gustave_Flaubert" ], [ "Franz_Kafka", "influenced_by", "Johann_Wolfgang_von_Goethe" ], [ "Franz_Kafka", "influenced_by", "Thomas_Mann" ], [ "Franz_Kafka", "location", "Prague" ], [ "Franz_Kafka", "nationality", "Austria-Hungary" ], [ "Franz_Kafka", "place_of_birth", "Prague" ], [ "G._K._Chesterton", "award", "Nobel_Prize_in_Literature" ], [ "G._K._Chesterton", "influenced_by", "Charles_Dickens" ], [ "Gene_Wolfe", "influenced_by", "Charles_Dickens" ], [ "Gene_Wolfe", "influenced_by", "Herman_Melville" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influenced_by", "Johann_Wolfgang_von_Goethe" ], [ "George_Bernard_Shaw", "award", "Nobel_Prize_in_Literature" ], [ "George_Bernard_Shaw", "influenced_by", "Arthur_Schopenhauer" ], [ "George_Bernard_Shaw", "influenced_by", "Charles_Dickens" ], [ "George_Bernard_Shaw", "influenced_by", "Richard_Wagner" ], [ "George_Orwell", "influenced_by", "Charles_Dickens" ], [ "George_Orwell", "influenced_by", "Leo_Tolstoy" ], [ "George_R._R._Martin", "influenced_by", "Charles_Dickens" ], [ "George_R._R._Martin", "influenced_by", "William_Faulkner" ], [ "Gilles_Deleuze", "influenced_by", "Sigmund_Freud" ], [ "Gilles_Deleuze", "influenced_by", "William_Faulkner" ], [ "Gore_Vidal", "award", "National_Book_Award_for_Fiction" ], [ "Gore_Vidal", "influenced_by", "Henry_James" ], [ "Gore_Vidal", "influenced_by", "Mark_Twain" ], [ "Gore_Vidal", "influenced_by", "Thomas_Mann" ], [ "Gore_Vidal", "influenced_by", "Truman_Capote" ], [ "Gustave_Flaubert", "influenced_by", "Johann_Wolfgang_von_Goethe" ], [ "Harlan_Ellison", "influenced_by", "Edgar_Allan_Poe" ], [ "Harlan_Ellison", "influenced_by", "Franz_Kafka" ], [ "Harold_Pinter", "influenced_by", "Franz_Kafka" ], [ "Henri_Bergson", "award", "Nobel_Prize_in_Literature" ], [ "Henri_Bergson", "influenced_by", "Arthur_Schopenhauer" ], [ "Henrik_Ibsen", "award", "Nobel_Prize_in_Literature" ], [ "Henry_David_Thoreau", "influenced_by", "Johann_Wolfgang_von_Goethe" ], [ "Henry_James", "award", "Nobel_Prize_in_Literature" ], [ "Henry_James", "influenced_by", "Charles_Dickens" ], [ "Henry_James", "influenced_by", "Edgar_Allan_Poe" ], [ "Herman_Melville", "influenced_by", "Edgar_Allan_Poe" ], [ "Herman_Melville", "influenced_by", "Henry_David_Thoreau" ], [ "Herman_Melville", "influenced_by", "Miguel_de_Cervantes" ], [ "Hermann_Hesse", "award", "Nobel_Prize_in_Literature" ], [ "Hermann_Hesse", "influenced_by", "Arthur_Schopenhauer" ], [ "Hermann_Hesse", "influenced_by", "Baruch_Spinoza" ], [ "Hermann_Hesse", "influenced_by", "Gautama_Buddha" ], [ "Hermann_Hesse", "influenced_by", "Johann_Wolfgang_von_Goethe" ], [ "Hermann_Hesse", "influenced_by", "Plato" ], [ "Hermann_Hesse", "influenced_by", "Thomas_Mann" ], [ "Ian_McEwan", "influenced_by", "Franz_Kafka" ], [ "Ian_McEwan", "influenced_by", "Saul_Bellow" ], [ "Italo_Calvino", "influenced_by", "Edgar_Allan_Poe" ], [ "Italo_Calvino", "influenced_by", "Franz_Kafka" ], [ "J._D._Salinger", "award", "National_Book_Award_for_Fiction" ], [ "J._D._Salinger", "influenced_by", "Franz_Kafka" ], [ "J._D._Salinger", "influenced_by", "Leo_Tolstoy" ], [ "J._M._Coetzee", "influenced_by", "Franz_Kafka" ], [ "J._M._Coetzee", "influenced_by", "William_Faulkner" ], [ "Jacques_Lacan", "influenced_by", "Sigmund_Freud" ], [ "Jacques_Lacan", "influenced_by", "Theodor_W._Adorno" ], [ "Jean-Paul_Sartre", "influenced_by", "Arthur_Schopenhauer" ], [ "Jean-Paul_Sartre", "influenced_by", "Franz_Kafka" ], [ "Jean-Paul_Sartre", "influenced_by", "Sigmund_Freud" ], [ "Jim_Morrison", "influenced_by", "Joseph_Campbell" ], [ "Jim_Morrison", "influenced_by", "Norman_Mailer" ], [ "Johann_Wolfgang_von_Goethe", "influenced_by", "Baruch_Spinoza" ], [ "Johann_Wolfgang_von_Goethe", "influenced_by", "Immanuel_Kant" ], [ "Johann_Wolfgang_von_Goethe", "influenced_by", "Jean-Jacques_Rousseau" ], [ "Johann_Wolfgang_von_Goethe", "location", "Frankfurt" ], [ "Johann_Wolfgang_von_Goethe", "place_of_birth", "Frankfurt" ], [ "John_Irving", "award", "National_Book_Award_for_Fiction" ], [ "John_Irving", "influenced_by", "Charles_Dickens" ], [ "John_Steinbeck", "award", "National_Book_Award_for_Fiction" ], [ "John_Steinbeck", "award", "Nobel_Prize_in_Literature" ], [ "John_Steinbeck", "influenced_by", "William_Faulkner" ], [ "John_Steinbeck", "peers", "Joseph_Campbell" ], [ "John_Updike", "award", "National_Book_Award_for_Fiction" ], [ "John_Updike", "influenced_by", "Arthur_Schopenhauer" ], [ "John_Updike", "influenced_by", "Franz_Kafka" ], [ "Jonathan_Lethem", "influenced_by", "Charles_Dickens" ], [ "Jonathan_Lethem", "influenced_by", "Franz_Kafka" ], [ "Jonathan_Lethem", "influenced_by", "Saul_Bellow" ], [ "Joseph_Campbell", "influenced_by", "Arthur_Schopenhauer" ], [ "Joseph_Campbell", "influenced_by", "Sigmund_Freud" ], [ "Joseph_Campbell", "influenced_by", "Thomas_Mann" ], [ "Joseph_Campbell", "peers", "John_Steinbeck" ], [ "Joseph_Heller", "award", "National_Book_Award_for_Fiction" ], [ "Joseph_Heller", "influenced_by", "Albert_Camus" ], [ "Joseph_Heller", "influenced_by", "Franz_Kafka" ], [ "Joseph_Heller", "influenced_by", "Samuel_Beckett" ], [ "Joseph_Heller", "influenced_by", "Thomas_Mann" ], [ "Joseph_Heller", "influenced_by", "William_Faulkner" ], [ "Joyce_Carol_Oates", "influenced_by", "Charles_Dickens" ], [ "Joyce_Carol_Oates", "influenced_by", "Edgar_Allan_Poe" ], [ "Joyce_Carol_Oates", "influenced_by", "Franz_Kafka" ], [ "Joyce_Carol_Oates", "influenced_by", "William_Faulkner" ], [ "Karl_Marx", "influenced_by", "Charles_Dickens" ], [ "Karl_Marx", "influenced_by", "Johann_Wolfgang_von_Goethe" ], [ "Kurt_Vonnegut", "award", "National_Book_Award_for_Fiction" ], [ "Kurt_Vonnegut", "influenced_by", "Joseph_Heller" ], [ "Leo_Tolstoy", "award", "Nobel_Prize_in_Literature" ], [ "Leo_Tolstoy", "influenced_by", "Aleksandr_Pushkin" ], [ "Leo_Tolstoy", "influenced_by", "Aristotle" ], [ "Leo_Tolstoy", "influenced_by", "Arthur_Schopenhauer" ], [ "Leo_Tolstoy", "influenced_by", "Charles_Dickens" ], [ "Leo_Tolstoy", "influenced_by", "Gautama_Buddha" ], [ "Leo_Tolstoy", "influenced_by", "Henry_David_Thoreau" ], [ "Leo_Tolstoy", "influenced_by", "Jean-Jacques_Rousseau" ], [ "Leo_Tolstoy", "influenced_by", "Plato" ], [ "Leo_Tolstoy", "influenced_by", "Victor_Hugo" ], [ "Ludwig_Wittgenstein", "influenced_by", "Arthur_Schopenhauer" ], [ "Ludwig_Wittgenstein", "influenced_by", "Johann_Wolfgang_von_Goethe" ], [ "Ludwig_Wittgenstein", "influenced_by", "Leo_Tolstoy" ], [ "Ludwig_Wittgenstein", "influenced_by", "Sigmund_Freud" ], [ "Marcel_Proust", "influenced_by", "Arthur_Schopenhauer" ], [ "Marcel_Proust", "influenced_by", "Edgar_Allan_Poe" ], [ "Marcel_Proust", "influenced_by", "Leo_Tolstoy" ], [ "Margaret_Atwood", "influenced_by", "Charles_Dickens" ], [ "Margaret_Atwood", "influenced_by", "Leo_Tolstoy" ], [ "Mark_Twain", "influenced_by", "Charles_Dickens" ], [ "Maya_Angelou", "influenced_by", "Charles_Dickens" ], [ "Maya_Angelou", "influenced_by", "Edgar_Allan_Poe" ], [ "Michael_Haneke", "influenced_by", "Franz_Kafka" ], [ "Michael_Haneke", "influenced_by", "Ludwig_Wittgenstein" ], [ "Michael_Haneke", "influenced_by", "Theodor_W._Adorno" ], [ "Michael_Haneke", "influenced_by", "Thomas_Mann" ], [ "National_Book_Award_for_Fiction", "award_winner", "Cormac_McCarthy" ], [ "National_Book_Award_for_Fiction", "award_winner", "John_Updike" ], [ "National_Book_Award_for_Fiction", "award_winner", "Joyce_Carol_Oates" ], [ "National_Book_Award_for_Fiction", "award_winner", "Philip_Roth" ], [ "National_Book_Award_for_Fiction", "award_winner", "Saul_Bellow" ], [ "National_Book_Award_for_Fiction", "award_winner", "William_Faulkner" ], [ "Nobel_Prize_in_Literature", "award_winner", "Albert_Camus" ], [ "Nobel_Prize_in_Literature", "award_winner", "Harold_Pinter" ], [ "Nobel_Prize_in_Literature", "award_winner", "Henri_Bergson" ], [ "Nobel_Prize_in_Literature", "award_winner", "Hermann_Hesse" ], [ "Nobel_Prize_in_Literature", "award_winner", "J._M._Coetzee" ], [ "Nobel_Prize_in_Literature", "award_winner", "John_Steinbeck" ], [ "Nobel_Prize_in_Literature", "award_winner", "Samuel_Beckett" ], [ "Nobel_Prize_in_Literature", "award_winner", "Saul_Bellow" ], [ "Nobel_Prize_in_Literature", "award_winner", "T._S._Eliot" ], [ "Nobel_Prize_in_Literature", "award_winner", "Thomas_Mann" ], [ "Nobel_Prize_in_Literature", "award_winner", "Toni_Morrison" ], [ "Nobel_Prize_in_Literature", "award_winner", "William_Faulkner" ], [ "Norman_Mailer", "award", "National_Book_Award_for_Fiction" ], [ "Norman_Mailer", "award", "Pulitzer_Prize_for_Fiction" ], [ "Norman_Mailer", "influenced_by", "Henry_James" ], [ "Norman_Mailer", "influenced_by", "Leo_Tolstoy" ], [ "Norman_Mailer", "influenced_by", "Marcel_Proust" ], [ "Norman_Mailer", "influenced_by", "Thomas_Mann" ], [ "Norman_Mailer", "influenced_by", "William_Faulkner" ], [ "Oliver_Twist", "story_by", "Charles_Dickens" ], [ "Paul_Auster", "influenced_by", "Charles_Dickens" ], [ "Paul_Auster", "influenced_by", "Edgar_Allan_Poe" ], [ "Paul_Auster", "influenced_by", "Franz_Kafka" ], [ "Paul_Auster", "influenced_by", "Herman_Melville" ], [ "Paul_Auster", "influenced_by", "Leo_Tolstoy" ], [ "Paul_Auster", "influenced_by", "William_Faulkner" ], [ "Philip_Roth", "award", "National_Book_Award_for_Fiction" ], [ "Philip_Roth", "influenced_by", "Franz_Kafka" ], [ "Philip_Roth", "influenced_by", "Leo_Tolstoy" ], [ "Philip_Roth", "influenced_by", "Saul_Bellow" ], [ "Philip_Roth", "influenced_by", "William_Faulkner" ], [ "Pulitzer_Prize_for_Fiction", "award_winner", "Norman_Mailer" ], [ "Pulitzer_Prize_for_Fiction", "award_winner", "Saul_Bellow" ], [ "Pulitzer_Prize_for_Fiction", "award_winner", "William_Faulkner" ], [ "Ray_Bradbury", "influenced_by", "Charles_Dickens" ], [ "Ray_Bradbury", "influenced_by", "Edgar_Allan_Poe" ], [ "Richard_Wagner", "influenced_by", "Arthur_Schopenhauer" ], [ "Richard_Wagner", "influenced_by", "Johann_Wolfgang_von_Goethe" ], [ "Robert_Louis_Stevenson", "influenced_by", "Charles_Dickens" ], [ "Robert_Louis_Stevenson", "influenced_by", "Edgar_Allan_Poe" ], [ "Salman_Rushdie", "influenced_by", "Franz_Kafka" ], [ "Salman_Rushdie", "influenced_by", "Saul_Bellow" ], [ "Samuel_Beckett", "influenced_by", "Arthur_Schopenhauer" ], [ "Samuel_Beckett", "influenced_by", "Franz_Kafka" ], [ "Samuel_Beckett", "influenced_by", "Johann_Wolfgang_von_Goethe" ], [ "Saul_Bellow", "award", "National_Book_Award_for_Fiction" ], [ "Saul_Bellow", "influenced_by", "Anton_Chekhov" ], [ "Saul_Bellow", "influenced_by", "Franz_Kafka" ], [ "Saul_Bellow", "influenced_by", "Joseph_Conrad" ], [ "Saul_Bellow", "influenced_by", "Marcel_Proust" ], [ "Saul_Bellow", "influenced_by", "Mark_Twain" ], [ "Saul_Bellow", "influenced_by", "Miguel_de_Cervantes" ], [ "Saul_Bellow", "influenced_by", "Thomas_Mann" ], [ "Saul_Bellow", "peers", "Philip_Roth" ], [ "Sigmund_Freud", "award", "Nobel_Prize_in_Literature" ], [ "Sigmund_Freud", "influenced_by", "Arthur_Schopenhauer" ], [ "Sigmund_Freud", "influenced_by", "Baruch_Spinoza" ], [ "Sigmund_Freud", "influenced_by", "Charles_Darwin" ], [ "Sigmund_Freud", "influenced_by", "Henrik_Ibsen" ], [ "Sigmund_Freud", "influenced_by", "Johann_Wolfgang_von_Goethe" ], [ "Stockholm", "mode_of_transportation", "Bus" ], [ "Swedish_Empire", "capital", "Stockholm" ], [ "T._S._Eliot", "award", "Nobel_Prize_in_Literature" ], [ "T._S._Eliot", "influenced_by", "Charles_Dickens" ], [ "Theodor_W._Adorno", "influenced_by", "Charles_Baudelaire" ], [ "Theodor_W._Adorno", "influenced_by", "Franz_Kafka" ], [ "Theodor_W._Adorno", "influenced_by", "Georg_Wilhelm_Friedrich_Hegel" ], [ "Theodor_W._Adorno", "influenced_by", "Immanuel_Kant" ], [ "Theodor_W._Adorno", "influenced_by", "Karl_Marx" ], [ "Theodor_W._Adorno", "influenced_by", "Ludwig_Wittgenstein" ], [ "Theodor_W._Adorno", "influenced_by", "Marcel_Proust" ], [ "Theodor_W._Adorno", "influenced_by", "Samuel_Beckett" ], [ "Theodor_W._Adorno", "influenced_by", "Sigmund_Freud" ], [ "Theodor_W._Adorno", "influenced_by", "Thomas_Mann" ], [ "Theodor_W._Adorno", "peers", "Walter_Benjamin" ], [ "Theodor_W._Adorno", "place_of_birth", "Frankfurt" ], [ "Thomas_Hardy", "award", "Nobel_Prize_in_Literature" ], [ "Thomas_Hardy", "influenced_by", "Arthur_Schopenhauer" ], [ "Thomas_Hardy", "influenced_by", "Charles_Dickens" ], [ "Thomas_Mann", "award", "National_Book_Award_for_Fiction" ], [ "Thomas_Mann", "influenced_by", "Arthur_Schopenhauer" ], [ "Thomas_Mann", "influenced_by", "Edgar_Allan_Poe" ], [ "Thomas_Mann", "influenced_by", "Herman_Melville" ], [ "Thomas_Mann", "influenced_by", "Hermann_Hesse" ], [ "Thomas_Mann", "influenced_by", "Johann_Wolfgang_von_Goethe" ], [ "Thomas_Mann", "influenced_by", "Leo_Tolstoy" ], [ "Thomas_Mann", "influenced_by", "Richard_Wagner" ], [ "Thomas_Mann", "influenced_by", "Sigmund_Freud" ], [ "Thomas_Mann", "place_of_death", "Zürich" ], [ "Thomas_Pynchon", "award", "National_Book_Award_for_Fiction" ], [ "Thomas_Pynchon", "influenced_by", "Herman_Melville" ], [ "Thomas_Pynchon", "influenced_by", "Johann_Wolfgang_von_Goethe" ], [ "Thomas_Pynchon", "influenced_by", "Norman_Mailer" ], [ "Thomas_Pynchon", "influenced_by", "Saul_Bellow" ], [ "Tom_Wolfe", "award", "National_Book_Award_for_Fiction" ], [ "Tom_Wolfe", "influenced_by", "Charles_Dickens" ], [ "Tom_Wolfe", "influenced_by", "Norman_Mailer" ], [ "Toni_Morrison", "award", "National_Book_Award_for_Fiction" ], [ "Toni_Morrison", "influenced_by", "Herman_Melville" ], [ "Toni_Morrison", "influenced_by", "William_Faulkner" ], [ "Truman_Capote", "award", "National_Book_Award_for_Fiction" ], [ "Truman_Capote", "influenced_by", "Edgar_Allan_Poe" ], [ "Truman_Capote", "influenced_by", "Gore_Vidal" ], [ "Truman_Capote", "influenced_by", "Norman_Mailer" ], [ "Truman_Capote", "influenced_by", "William_Faulkner" ], [ "Tuberculosis", "people", "Edgar_Allan_Poe" ], [ "Tuberculosis", "people", "Franz_Kafka" ], [ "Ursula_K._Le_Guin", "award", "National_Book_Award_for_Fiction" ], [ "Ursula_K._Le_Guin", "influenced_by", "Leo_Tolstoy" ], [ "Vladimir_Vladimirovich_Nabokov", "award", "National_Book_Award_for_Fiction" ], [ "Vladimir_Vladimirovich_Nabokov", "influenced_by", "Edgar_Allan_Poe" ], [ "Vladimir_Vladimirovich_Nabokov", "influenced_by", "Franz_Kafka" ], [ "Vladimir_Vladimirovich_Nabokov", "influenced_by", "Leo_Tolstoy" ], [ "Walter_Benjamin", "influenced_by", "Franz_Kafka" ], [ "Walter_Benjamin", "influenced_by", "Theodor_W._Adorno" ], [ "Walter_Benjamin", "peers", "Theodor_W._Adorno" ], [ "William_Faulkner", "award", "National_Book_Award_for_Fiction" ], [ "William_Faulkner", "award", "Nobel_Prize_in_Literature" ], [ "William_Faulkner", "influenced_by", "Charles_Dickens" ], [ "William_Faulkner", "influenced_by", "Edgar_Allan_Poe" ], [ "William_Faulkner", "influenced_by", "Gustave_Flaubert" ], [ "William_Faulkner", "influenced_by", "Herman_Melville" ], [ "William_Faulkner", "influenced_by", "Joseph_Conrad" ], [ "William_Faulkner", "influenced_by", "Leo_Tolstoy" ], [ "William_Faulkner", "influenced_by", "Mark_Twain" ], [ "William_Faulkner", "influenced_by", "Miguel_de_Cervantes" ], [ "William_Faulkner", "influenced_by", "T._S._Eliot" ], [ "William_Faulkner", "influenced_by", "Thomas_Mann" ], [ "Zürich", "mode_of_transportation", "Bus" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 11131, Air_travel 1131, April 13428, August 6214, Austin 13459, Berlin 13932, Bus 1421, December 7184, February 975, Felix_Mendelssohn-Bartholdy 11841, Humboldt_University_of_Berlin 8081, January 3178, Jimmy_Kimmel 7804, July 4422, June 8554, Manchester 6522, March 1112, May 6542, November 8619, October 2144, Origin_Systems 271, Road_Trip 13957, Sarah_Silverman 1833, September 4045, Train 9443, Travis_County src, edge_attr, dst 6214, administrative_division, 9443 6214, mode_of_transportation, 11131 6214, mode_of_transportation, 13932 6214, mode_of_transportation, 4045 6214, month, 1131 6214, month, 13428 6214, month, 1421 6214, month, 7184 6214, month, 8081 6214, month, 7804 6214, month, 4422 6214, month, 6522 6214, month, 1112 6214, month, 6542 6214, month, 8619 6214, month, 1833 6214, place, 6214 13459, contains, 11841 13459, mode_of_transportation, 11131 13459, mode_of_transportation, 13932 13459, mode_of_transportation, 4045 13459, month, 1131 13459, month, 13428 13459, month, 1421 13459, month, 7184 13459, month, 8081 13459, month, 7804 13459, month, 4422 13459, month, 6522 13459, month, 1112 13459, month, 6542 13459, month, 8619 13459, month, 1833 975, location, 13459 11841, campuses, 11841 11841, citytown, 13459 11841, educational_institution, 11841 11841, student, 975 3178, acted_in, 271 3178, celebrity, 13957 3178, participant, 13957 3178, spouse, 13957 8554, place, 8554 2144, citytown, 8554 2144, place_founded, 6214 271, featured_film_locations, 6214 13957, celebrity, 3178 13957, participant, 3178 13957, place_of_birth, 8554 13957, spouse, 3178 9443, contains, 6214 9443, county_seat, 6214 Question: For what reason are Humboldt_University_of_Berlin, Sarah_Silverman, and Travis_County associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Humboldt_University_of_Berlin", "Sarah_Silverman", "Travis_County" ], "valid_edges": [ [ "Austin", "administrative_division", "Travis_County" ], [ "Austin", "mode_of_transportation", "Air_travel" ], [ "Austin", "mode_of_transportation", "Bus" ], [ "Austin", "mode_of_transportation", "Train" ], [ "Austin", "month", "April" ], [ "Austin", "month", "August" ], [ "Austin", "month", "December" ], [ "Austin", "month", "February" ], [ "Austin", "month", "January" ], [ "Austin", "month", "July" ], [ "Austin", "month", "June" ], [ "Austin", "month", "March" ], [ "Austin", "month", "May" ], [ "Austin", "month", "November" ], [ "Austin", "month", "October" ], [ "Austin", "month", "September" ], [ "Austin", "place", "Austin" ], [ "Berlin", "contains", "Humboldt_University_of_Berlin" ], [ "Berlin", "mode_of_transportation", "Air_travel" ], [ "Berlin", "mode_of_transportation", "Bus" ], [ "Berlin", "mode_of_transportation", "Train" ], [ "Berlin", "month", "April" ], [ "Berlin", "month", "August" ], [ "Berlin", "month", "December" ], [ "Berlin", "month", "February" ], [ "Berlin", "month", "January" ], [ "Berlin", "month", "July" ], [ "Berlin", "month", "June" ], [ "Berlin", "month", "March" ], [ "Berlin", "month", "May" ], [ "Berlin", "month", "November" ], [ "Berlin", "month", "October" ], [ "Berlin", "month", "September" ], [ "Felix_Mendelssohn-Bartholdy", "location", "Berlin" ], [ "Humboldt_University_of_Berlin", "campuses", "Humboldt_University_of_Berlin" ], [ "Humboldt_University_of_Berlin", "citytown", "Berlin" ], [ "Humboldt_University_of_Berlin", "educational_institution", "Humboldt_University_of_Berlin" ], [ "Humboldt_University_of_Berlin", "student", "Felix_Mendelssohn-Bartholdy" ], [ "Jimmy_Kimmel", "acted_in", "Road_Trip" ], [ "Jimmy_Kimmel", "celebrity", "Sarah_Silverman" ], [ "Jimmy_Kimmel", "participant", "Sarah_Silverman" ], [ "Jimmy_Kimmel", "spouse", "Sarah_Silverman" ], [ "Manchester", "place", "Manchester" ], [ "Origin_Systems", "citytown", "Manchester" ], [ "Origin_Systems", "place_founded", "Austin" ], [ "Road_Trip", "featured_film_locations", "Austin" ], [ "Sarah_Silverman", "celebrity", "Jimmy_Kimmel" ], [ "Sarah_Silverman", "participant", "Jimmy_Kimmel" ], [ "Sarah_Silverman", "place_of_birth", "Manchester" ], [ "Sarah_Silverman", "spouse", "Jimmy_Kimmel" ], [ "Travis_County", "contains", "Austin" ], [ "Travis_County", "county_seat", "Austin" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 5751, 62nd_Golden_Globe_Awards 4123, 9th_Golden_Satellite_Awards 7893, A_Mighty_Wind 2053, Airplane! 1144, American_Pie_2 2328, American_Wedding 5613, Anchorman:_The_Legend_of_Ron_Burgundy 8031, Andrew_Scheinman 8222, Anjelica_Huston 2924, Annie_Hall 12786, Astro_Boy 10328, BFCA_Critics'_Choice_Award_for_Best_Song 2274, Best_in_Show 9614, Bill_Nighy 3498, Bob_Roberts 11720, Castle_Rock_Entertainment 5375, Catherine_O'Hara 2790, Chicken_Little 4694, Christopher_Walken 13563, Comedy_of_manners 1424, Cult_film 1670, De-Lovely 1714, Deconstructing_Harry 12732, Dogma 5447, Dune 12897, EDtv 13394, Ed_Begley,_Jr. 7592, Enchanted 719, Epic_Movie 1117, Eugene_Levy 1622, Even_Cowgirls_Get_the_Blues 11702, Fine_Line_Features 6667, For_Your_Consideration 1394, Fred_Willard 2769, Harry_Shearer 7182, Heavy_Metal 9870, Hot_Fuzz 8077, Jason_Bateman 3315, Jennifer_Coolidge 1855, Jerry_Stiller 1954, John_Michael_Higgins 5484, Kevin_Kline 14214, Matthew_Fox 7418, Michael_McKean 10944, Mockumentary 1360, Modern_Family 12851, Monty_Python_and_the_Holy_Grail 4615, Norfolk 4612, Parker_Posey 11320, Parody 12299, Paul_Dooley 2016, Rambo 9898, Rupert_Everett 5593, Seinfeld 6703, Shaun_of_the_Dead 6259, Smokin'_Aces 11030, Sound_Re-Recording_Mixer-GB 7964, Speed_Racer 3367, Starsky_&_Hutch 1354, Susan_Sarandon 3948, Team_America:_World_Police 9694, The_Life_Aquatic_with_Steve_Zissou 4174, The_Love_Guru 5893, The_Producers 1120, The_Rocky_Horror_Picture_Show 12607, The_Royal_Tenenbaums 6800, The_Stepford_Wives 9890, The_Witches_of_Eastwick 10734, This_Is_Spinal_Tap 168, Tropic_Thunder 8741, University_of_East_Anglia src, edge_attr, dst 5751, award_winner, 8222 5751, award_winner, 8077 4123, award_winner, 8222 4123, award_winner, 9614 4123, award_winner, 4694 4123, award_winner, 11702 4123, award_winner, 8077 4123, award_winner, 14214 4123, award_winner, 1354 4123, honored_for, 1670 4123, honored_for, 5593 7893, film_crew_role, 11030 7893, film_music, 1117 7893, film_music, 1954 7893, film_music, 7418 7893, genre, 10944 7893, genre, 11320 7893, prequel, 2274 7893, production_companies, 11720 7893, written_by, 1117 2053, genre, 1424 2053, genre, 11320 5613, genre, 1424 5613, genre, 11320 8031, nominated_for, 5593 8031, organizations_founded, 11720 8031, program, 5593 8222, acted_in, 9694 8222, acted_in, 12607 8222, acted_in, 10734 8222, nominated_for, 9694 8222, nominated_for, 12607 2924, genre, 13563 10328, award_winner, 1117 10328, award_winner, 7418 2274, genre, 13563 2274, genre, 1424 2274, genre, 10944 2274, genre, 11320 2274, production_companies, 11720 9614, acted_in, 12786 9614, acted_in, 9870 9614, acted_in, 6703 3498, genre, 10944 3498, genre, 11320 5375, acted_in, 7893 5375, acted_in, 2274 5375, acted_in, 2790 5375, award_nominee, 1117 5375, award_nominee, 2769 5375, award_nominee, 3315 5375, award_nominee, 1954 5375, award_nominee, 7418 5375, award_nominee, 4612 5375, nominated_for, 7893 5375, nominated_for, 2274 5375, nominated_for, 6667 4694, acted_in, 2924 4694, acted_in, 6800 4694, award_nominee, 1855 4694, award_nominee, 12299 4694, participant, 1354 1670, film_crew_role, 11030 1714, genre, 13563 12732, genre, 1424 12732, genre, 11320 5447, actor, 1354 5447, genre, 1424 12897, genre, 11320 13394, acted_in, 7893 13394, acted_in, 2274 13394, acted_in, 1622 13394, acted_in, 6667 13394, acted_in, 10734 7592, genre, 11320 719, genre, 11320 1117, acted_in, 7893 1117, acted_in, 1144 1117, acted_in, 2328 1117, acted_in, 12786 1117, acted_in, 2274 1117, acted_in, 6667 1117, acted_in, 7182 1117, award, 10328 1117, award_nominee, 5375 1117, award_nominee, 1394 1117, award_nominee, 2769 1117, award_nominee, 1954 1117, award_nominee, 7418 1117, award_nominee, 4612 1117, award_winner, 7418 1117, nominated_for, 7893 1117, nominated_for, 6667 11702, film, 1714 11702, film, 1622 11702, nominated_for, 1714 6667, film_music, 1117 6667, genre, 10944 6667, genre, 11320 6667, prequel, 7893 6667, production_companies, 11720 6667, written_by, 1117 1394, acted_in, 7893 1394, acted_in, 2328 1394, acted_in, 5613 1394, acted_in, 2274 1394, acted_in, 2790 1394, acted_in, 719 1394, acted_in, 10734 1394, award_nominee, 5375 1394, award_nominee, 1117 1394, award_nominee, 2769 1394, award_nominee, 3315 1394, award_nominee, 1954 1394, award_nominee, 7418 1394, award_nominee, 4612 1394, nominated_for, 2274 1394, nominated_for, 6667 1394, nominated_for, 1360 2769, acted_in, 7893 2769, award_nominee, 5375 2769, award_nominee, 1394 2769, award_nominee, 1954 2769, award_nominee, 7418 2769, award_nominee, 4612 7182, genre, 1424 9870, genre, 11320 8077, acted_in, 2016 8077, acted_in, 6259 8077, acted_in, 3367 8077, acted_in, 168 3315, acted_in, 7893 3315, acted_in, 1144 3315, acted_in, 2328 3315, acted_in, 2274 3315, acted_in, 719 3315, acted_in, 6667 3315, award_nominee, 5375 3315, award_nominee, 1117 3315, award_nominee, 1394 3315, award_nominee, 2769 3315, award_nominee, 1954 3315, award_nominee, 7418 3315, award_nominee, 4612 3315, nominated_for, 6667 1855, award_nominee, 4694 1855, nominated_for, 5593 1954, acted_in, 7893 1954, acted_in, 2274 1954, acted_in, 6667 1954, award_nominee, 5375 1954, award_nominee, 1117 1954, award_nominee, 1394 1954, award_nominee, 2769 1954, award_nominee, 3315 1954, award_nominee, 7418 1954, award_nominee, 4612 1954, nominated_for, 6667 5484, acted_in, 1670 5484, nominated_for, 1670 5484, participant, 1354 14214, acted_in, 2016 14214, acted_in, 6259 14214, acted_in, 7964 7418, acted_in, 7893 7418, acted_in, 2274 7418, acted_in, 6667 7418, acted_in, 5893 7418, acted_in, 10734 7418, award, 10328 7418, award_nominee, 5375 7418, award_nominee, 1117 7418, award_nominee, 1394 7418, award_nominee, 2769 7418, award_nominee, 1954 7418, award_winner, 1117 7418, award_winner, 2769 7418, nominated_for, 6667 10944, titles, 7893 10944, titles, 3498 10944, titles, 12897 10944, titles, 6667 1360, genre, 10944 12851, genre, 1424 12851, genre, 11320 4615, contains, 8741 4615, county, 4615 4612, acted_in, 7893 4612, acted_in, 2274 4612, acted_in, 6667 4612, award_nominee, 1117 4612, award_nominee, 2769 4612, award_nominee, 3315 4612, award_nominee, 7418 4612, nominated_for, 6667 12299, acted_in, 7893 12299, award_nominee, 4694 2016, production_companies, 11720 9898, location, 4615 9898, participant, 1354 5593, award_winner, 8031 5593, award_winner, 11720 6703, genre, 1424 6703, genre, 11320 3367, genre, 11320 1354, acted_in, 3498 1354, acted_in, 7592 1354, acted_in, 7964 1354, acted_in, 1120 1354, acted_in, 9890 1354, participant, 4694 1354, participant, 5484 1354, participant, 9898 3948, genre, 1424 3948, genre, 11320 9694, genre, 1424 4174, genre, 13563 4174, genre, 11320 5893, genre, 11320 1120, genre, 1424 1120, genre, 11320 12607, genre, 13563 12607, genre, 1424 6800, genre, 11320 9890, award_winner, 8222 10734, award_winner, 7418 10734, film_music, 7418 10734, genre, 1424 10734, genre, 10944 10734, genre, 11320 10734, written_by, 7418 168, genre, 11320 8741, campuses, 8741 8741, educational_institution, 8741 8741, state_province_region, 4615 Question: How are 9th_Golden_Satellite_Awards, Best_in_Show, and University_of_East_Anglia related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "9th_Golden_Satellite_Awards", "Best_in_Show", "University_of_East_Anglia" ], "valid_edges": [ [ "62nd_Golden_Globe_Awards", "award_winner", "Anjelica_Huston" ], [ "62nd_Golden_Globe_Awards", "award_winner", "Jason_Bateman" ], [ "9th_Golden_Satellite_Awards", "award_winner", "Anjelica_Huston" ], [ "9th_Golden_Satellite_Awards", "award_winner", "Bill_Nighy" ], [ "9th_Golden_Satellite_Awards", "award_winner", "Christopher_Walken" ], [ "9th_Golden_Satellite_Awards", "award_winner", "Fine_Line_Features" ], [ "9th_Golden_Satellite_Awards", "award_winner", "Jason_Bateman" ], [ "9th_Golden_Satellite_Awards", "award_winner", "Matthew_Fox" ], [ "9th_Golden_Satellite_Awards", "award_winner", "Susan_Sarandon" ], [ "9th_Golden_Satellite_Awards", "honored_for", "De-Lovely" ], [ "9th_Golden_Satellite_Awards", "honored_for", "Seinfeld" ], [ "A_Mighty_Wind", "film_crew_role", "Sound_Re-Recording_Mixer-GB" ], [ "A_Mighty_Wind", "film_music", "Eugene_Levy" ], [ "A_Mighty_Wind", "film_music", "John_Michael_Higgins" ], [ "A_Mighty_Wind", "film_music", "Michael_McKean" ], [ "A_Mighty_Wind", "genre", "Mockumentary" ], [ "A_Mighty_Wind", "genre", "Parody" ], [ "A_Mighty_Wind", "prequel", "Best_in_Show" ], [ "A_Mighty_Wind", "production_companies", "Castle_Rock_Entertainment" ], [ "A_Mighty_Wind", "written_by", "Eugene_Levy" ], [ "Airplane!", "genre", "Cult_film" ], [ "Airplane!", "genre", "Parody" ], [ "Anchorman:_The_Legend_of_Ron_Burgundy", "genre", "Cult_film" ], [ "Anchorman:_The_Legend_of_Ron_Burgundy", "genre", "Parody" ], [ "Andrew_Scheinman", "nominated_for", "Seinfeld" ], [ "Andrew_Scheinman", "organizations_founded", "Castle_Rock_Entertainment" ], [ "Andrew_Scheinman", "program", "Seinfeld" ], [ "Anjelica_Huston", "acted_in", "The_Life_Aquatic_with_Steve_Zissou" ], [ "Anjelica_Huston", "acted_in", "The_Royal_Tenenbaums" ], [ "Anjelica_Huston", "acted_in", "This_Is_Spinal_Tap" ], [ "Anjelica_Huston", "nominated_for", "The_Life_Aquatic_with_Steve_Zissou" ], [ "Anjelica_Huston", "nominated_for", "The_Royal_Tenenbaums" ], [ "Annie_Hall", "genre", "Comedy_of_manners" ], [ "BFCA_Critics'_Choice_Award_for_Best_Song", "award_winner", "Eugene_Levy" ], [ "BFCA_Critics'_Choice_Award_for_Best_Song", "award_winner", "Michael_McKean" ], [ "Best_in_Show", "genre", "Comedy_of_manners" ], [ "Best_in_Show", "genre", "Cult_film" ], [ "Best_in_Show", "genre", "Mockumentary" ], [ "Best_in_Show", "genre", "Parody" ], [ "Best_in_Show", "production_companies", "Castle_Rock_Entertainment" ], [ "Bill_Nighy", "acted_in", "Astro_Boy" ], [ "Bill_Nighy", "acted_in", "Hot_Fuzz" ], [ "Bill_Nighy", "acted_in", "Shaun_of_the_Dead" ], [ "Bob_Roberts", "genre", "Mockumentary" ], [ "Bob_Roberts", "genre", "Parody" ], [ "Catherine_O'Hara", "acted_in", "A_Mighty_Wind" ], [ "Catherine_O'Hara", "acted_in", "Best_in_Show" ], [ "Catherine_O'Hara", "acted_in", "Chicken_Little" ], [ "Catherine_O'Hara", "award_nominee", "Eugene_Levy" ], [ "Catherine_O'Hara", "award_nominee", "Harry_Shearer" ], [ "Catherine_O'Hara", "award_nominee", "Jennifer_Coolidge" ], [ "Catherine_O'Hara", "award_nominee", "John_Michael_Higgins" ], [ "Catherine_O'Hara", "award_nominee", "Michael_McKean" ], [ "Catherine_O'Hara", "award_nominee", "Parker_Posey" ], [ "Catherine_O'Hara", "nominated_for", "A_Mighty_Wind" ], [ "Catherine_O'Hara", "nominated_for", "Best_in_Show" ], [ "Catherine_O'Hara", "nominated_for", "For_Your_Consideration" ], [ "Christopher_Walken", "acted_in", "Annie_Hall" ], [ "Christopher_Walken", "acted_in", "The_Stepford_Wives" ], [ "Christopher_Walken", "award_nominee", "Jerry_Stiller" ], [ "Christopher_Walken", "award_nominee", "Paul_Dooley" ], [ "Christopher_Walken", "participant", "Susan_Sarandon" ], [ "De-Lovely", "film_crew_role", "Sound_Re-Recording_Mixer-GB" ], [ "Deconstructing_Harry", "genre", "Comedy_of_manners" ], [ "Dogma", "genre", "Cult_film" ], [ "Dogma", "genre", "Parody" ], [ "Dune", "actor", "Susan_Sarandon" ], [ "Dune", "genre", "Cult_film" ], [ "EDtv", "genre", "Parody" ], [ "Ed_Begley,_Jr.", "acted_in", "A_Mighty_Wind" ], [ "Ed_Begley,_Jr.", "acted_in", "Best_in_Show" ], [ "Ed_Begley,_Jr.", "acted_in", "Even_Cowgirls_Get_the_Blues" ], [ "Ed_Begley,_Jr.", "acted_in", "For_Your_Consideration" ], [ "Ed_Begley,_Jr.", "acted_in", "This_Is_Spinal_Tap" ], [ "Enchanted", "genre", "Parody" ], [ "Epic_Movie", "genre", "Parody" ], [ "Eugene_Levy", "acted_in", "A_Mighty_Wind" ], [ "Eugene_Levy", "acted_in", "American_Pie_2" ], [ "Eugene_Levy", "acted_in", "American_Wedding" ], [ "Eugene_Levy", "acted_in", "Astro_Boy" ], [ "Eugene_Levy", "acted_in", "Best_in_Show" ], [ "Eugene_Levy", "acted_in", "For_Your_Consideration" ], [ "Eugene_Levy", "acted_in", "Heavy_Metal" ], [ "Eugene_Levy", "award", "BFCA_Critics'_Choice_Award_for_Best_Song" ], [ "Eugene_Levy", "award_nominee", "Catherine_O'Hara" ], [ "Eugene_Levy", "award_nominee", "Fred_Willard" ], [ "Eugene_Levy", "award_nominee", "Harry_Shearer" ], [ "Eugene_Levy", "award_nominee", "John_Michael_Higgins" ], [ "Eugene_Levy", "award_nominee", "Michael_McKean" ], [ "Eugene_Levy", "award_nominee", "Parker_Posey" ], [ "Eugene_Levy", "award_winner", "Michael_McKean" ], [ "Eugene_Levy", "nominated_for", "A_Mighty_Wind" ], [ "Eugene_Levy", "nominated_for", "For_Your_Consideration" ], [ "Fine_Line_Features", "film", "Deconstructing_Harry" ], [ "Fine_Line_Features", "film", "Even_Cowgirls_Get_the_Blues" ], [ "Fine_Line_Features", "nominated_for", "Deconstructing_Harry" ], [ "For_Your_Consideration", "film_music", "Eugene_Levy" ], [ "For_Your_Consideration", "genre", "Mockumentary" ], [ "For_Your_Consideration", "genre", "Parody" ], [ "For_Your_Consideration", "prequel", "A_Mighty_Wind" ], [ "For_Your_Consideration", "production_companies", "Castle_Rock_Entertainment" ], [ "For_Your_Consideration", "written_by", "Eugene_Levy" ], [ "Fred_Willard", "acted_in", "A_Mighty_Wind" ], [ "Fred_Willard", "acted_in", "American_Wedding" ], [ "Fred_Willard", "acted_in", "Anchorman:_The_Legend_of_Ron_Burgundy" ], [ "Fred_Willard", "acted_in", "Best_in_Show" ], [ "Fred_Willard", "acted_in", "Chicken_Little" ], [ "Fred_Willard", "acted_in", "Epic_Movie" ], [ "Fred_Willard", "acted_in", "This_Is_Spinal_Tap" ], [ "Fred_Willard", "award_nominee", "Catherine_O'Hara" ], [ "Fred_Willard", "award_nominee", "Eugene_Levy" ], [ "Fred_Willard", "award_nominee", "Harry_Shearer" ], [ "Fred_Willard", "award_nominee", "Jennifer_Coolidge" ], [ "Fred_Willard", "award_nominee", "John_Michael_Higgins" ], [ "Fred_Willard", "award_nominee", "Michael_McKean" ], [ "Fred_Willard", "award_nominee", "Parker_Posey" ], [ "Fred_Willard", "nominated_for", "Best_in_Show" ], [ "Fred_Willard", "nominated_for", "For_Your_Consideration" ], [ "Fred_Willard", "nominated_for", "Modern_Family" ], [ "Harry_Shearer", "acted_in", "A_Mighty_Wind" ], [ "Harry_Shearer", "award_nominee", "Catherine_O'Hara" ], [ "Harry_Shearer", "award_nominee", "Fred_Willard" ], [ "Harry_Shearer", "award_nominee", "John_Michael_Higgins" ], [ "Harry_Shearer", "award_nominee", "Michael_McKean" ], [ "Harry_Shearer", "award_nominee", "Parker_Posey" ], [ "Heavy_Metal", "genre", "Cult_film" ], [ "Hot_Fuzz", "genre", "Parody" ], [ "Jason_Bateman", "acted_in", "Rambo" ], [ "Jason_Bateman", "acted_in", "Smokin'_Aces" ], [ "Jason_Bateman", "acted_in", "Starsky_&_Hutch" ], [ "Jason_Bateman", "acted_in", "Tropic_Thunder" ], [ "Jennifer_Coolidge", "acted_in", "A_Mighty_Wind" ], [ "Jennifer_Coolidge", "acted_in", "American_Pie_2" ], [ "Jennifer_Coolidge", "acted_in", "American_Wedding" ], [ "Jennifer_Coolidge", "acted_in", "Best_in_Show" ], [ "Jennifer_Coolidge", "acted_in", "Epic_Movie" ], [ "Jennifer_Coolidge", "acted_in", "For_Your_Consideration" ], [ "Jennifer_Coolidge", "award_nominee", "Catherine_O'Hara" ], [ "Jennifer_Coolidge", "award_nominee", "Eugene_Levy" ], [ "Jennifer_Coolidge", "award_nominee", "Fred_Willard" ], [ "Jennifer_Coolidge", "award_nominee", "Harry_Shearer" ], [ "Jennifer_Coolidge", "award_nominee", "John_Michael_Higgins" ], [ "Jennifer_Coolidge", "award_nominee", "Michael_McKean" ], [ "Jennifer_Coolidge", "award_nominee", "Parker_Posey" ], [ "Jennifer_Coolidge", "nominated_for", "For_Your_Consideration" ], [ "Jerry_Stiller", "award_nominee", "Christopher_Walken" ], [ "Jerry_Stiller", "nominated_for", "Seinfeld" ], [ "John_Michael_Higgins", "acted_in", "A_Mighty_Wind" ], [ "John_Michael_Higgins", "acted_in", "Best_in_Show" ], [ "John_Michael_Higgins", "acted_in", "For_Your_Consideration" ], [ "John_Michael_Higgins", "award_nominee", "Catherine_O'Hara" ], [ "John_Michael_Higgins", "award_nominee", "Eugene_Levy" ], [ "John_Michael_Higgins", "award_nominee", "Fred_Willard" ], [ "John_Michael_Higgins", "award_nominee", "Harry_Shearer" ], [ "John_Michael_Higgins", "award_nominee", "Jennifer_Coolidge" ], [ "John_Michael_Higgins", "award_nominee", "Michael_McKean" ], [ "John_Michael_Higgins", "award_nominee", "Parker_Posey" ], [ "John_Michael_Higgins", "nominated_for", "For_Your_Consideration" ], [ "Kevin_Kline", "acted_in", "De-Lovely" ], [ "Kevin_Kline", "nominated_for", "De-Lovely" ], [ "Kevin_Kline", "participant", "Susan_Sarandon" ], [ "Matthew_Fox", "acted_in", "Rambo" ], [ "Matthew_Fox", "acted_in", "Smokin'_Aces" ], [ "Matthew_Fox", "acted_in", "Speed_Racer" ], [ "Michael_McKean", "acted_in", "A_Mighty_Wind" ], [ "Michael_McKean", "acted_in", "Best_in_Show" ], [ "Michael_McKean", "acted_in", "For_Your_Consideration" ], [ "Michael_McKean", "acted_in", "The_Producers" ], [ "Michael_McKean", "acted_in", "This_Is_Spinal_Tap" ], [ "Michael_McKean", "award", "BFCA_Critics'_Choice_Award_for_Best_Song" ], [ "Michael_McKean", "award_nominee", "Catherine_O'Hara" ], [ "Michael_McKean", "award_nominee", "Eugene_Levy" ], [ "Michael_McKean", "award_nominee", "Fred_Willard" ], [ "Michael_McKean", "award_nominee", "Harry_Shearer" ], [ "Michael_McKean", "award_nominee", "John_Michael_Higgins" ], [ "Michael_McKean", "award_winner", "Eugene_Levy" ], [ "Michael_McKean", "award_winner", "Harry_Shearer" ], [ "Michael_McKean", "nominated_for", "For_Your_Consideration" ], [ "Mockumentary", "titles", "A_Mighty_Wind" ], [ "Mockumentary", "titles", "Bob_Roberts" ], [ "Mockumentary", "titles", "EDtv" ], [ "Mockumentary", "titles", "For_Your_Consideration" ], [ "Modern_Family", "genre", "Mockumentary" ], [ "Monty_Python_and_the_Holy_Grail", "genre", "Cult_film" ], [ "Monty_Python_and_the_Holy_Grail", "genre", "Parody" ], [ "Norfolk", "contains", "University_of_East_Anglia" ], [ "Norfolk", "county", "Norfolk" ], [ "Parker_Posey", "acted_in", "A_Mighty_Wind" ], [ "Parker_Posey", "acted_in", "Best_in_Show" ], [ "Parker_Posey", "acted_in", "For_Your_Consideration" ], [ "Parker_Posey", "award_nominee", "Eugene_Levy" ], [ "Parker_Posey", "award_nominee", "Harry_Shearer" ], [ "Parker_Posey", "award_nominee", "Jennifer_Coolidge" ], [ "Parker_Posey", "award_nominee", "Michael_McKean" ], [ "Parker_Posey", "nominated_for", "For_Your_Consideration" ], [ "Paul_Dooley", "acted_in", "A_Mighty_Wind" ], [ "Paul_Dooley", "award_nominee", "Christopher_Walken" ], [ "Rambo", "production_companies", "Castle_Rock_Entertainment" ], [ "Rupert_Everett", "location", "Norfolk" ], [ "Rupert_Everett", "participant", "Susan_Sarandon" ], [ "Seinfeld", "award_winner", "Andrew_Scheinman" ], [ "Seinfeld", "award_winner", "Castle_Rock_Entertainment" ], [ "Shaun_of_the_Dead", "genre", "Cult_film" ], [ "Shaun_of_the_Dead", "genre", "Parody" ], [ "Starsky_&_Hutch", "genre", "Parody" ], [ "Susan_Sarandon", "acted_in", "Bob_Roberts" ], [ "Susan_Sarandon", "acted_in", "Enchanted" ], [ "Susan_Sarandon", "acted_in", "Speed_Racer" ], [ "Susan_Sarandon", "acted_in", "The_Rocky_Horror_Picture_Show" ], [ "Susan_Sarandon", "acted_in", "The_Witches_of_Eastwick" ], [ "Susan_Sarandon", "participant", "Christopher_Walken" ], [ "Susan_Sarandon", "participant", "Kevin_Kline" ], [ "Susan_Sarandon", "participant", "Rupert_Everett" ], [ "Team_America:_World_Police", "genre", "Cult_film" ], [ "Team_America:_World_Police", "genre", "Parody" ], [ "The_Life_Aquatic_with_Steve_Zissou", "genre", "Cult_film" ], [ "The_Love_Guru", "genre", "Comedy_of_manners" ], [ "The_Love_Guru", "genre", "Parody" ], [ "The_Producers", "genre", "Parody" ], [ "The_Rocky_Horror_Picture_Show", "genre", "Cult_film" ], [ "The_Rocky_Horror_Picture_Show", "genre", "Parody" ], [ "The_Royal_Tenenbaums", "genre", "Comedy_of_manners" ], [ "The_Royal_Tenenbaums", "genre", "Cult_film" ], [ "The_Stepford_Wives", "genre", "Parody" ], [ "The_Witches_of_Eastwick", "award_winner", "Anjelica_Huston" ], [ "This_Is_Spinal_Tap", "award_winner", "Michael_McKean" ], [ "This_Is_Spinal_Tap", "film_music", "Michael_McKean" ], [ "This_Is_Spinal_Tap", "genre", "Cult_film" ], [ "This_Is_Spinal_Tap", "genre", "Mockumentary" ], [ "This_Is_Spinal_Tap", "genre", "Parody" ], [ "This_Is_Spinal_Tap", "written_by", "Michael_McKean" ], [ "Tropic_Thunder", "genre", "Parody" ], [ "University_of_East_Anglia", "campuses", "University_of_East_Anglia" ], [ "University_of_East_Anglia", "educational_institution", "University_of_East_Anglia" ], [ "University_of_East_Anglia", "state_province_region", "Norfolk" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 8076, Atom_Egoyan 12767, Beloved 3366, Glenda_Jackson 5944, Jennifer_Tilly 1863, Jonathan_Demme 6728, Member_of_Parliament-GB 8011, National_Board_of_Review_Award_for_Best_Actress 5267, Puppeteer 2954, Rachel_Getting_Married 14073, The_Fabulous_Baker_Boys 13582, Victoria src, edge_attr, dst 8076, location, 13582 12767, film_crew_role, 5267 12767, produced_by, 1863 3366, basic_title, 6728 5944, acted_in, 14073 5944, location, 13582 1863, film, 12767 1863, film, 2954 1863, nominated_for, 2954 6728, jurisdiction_of_office, 13582 8011, award_winner, 3366 2954, award_honor_award, 8011 2954, award_winner, 1863 2954, produced_by, 1863 14073, award_honor_award, 8011 Question: For what reason are Atom_Egoyan, National_Board_of_Review_Award_for_Best_Actress, and Puppeteer associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Atom_Egoyan", "National_Board_of_Review_Award_for_Best_Actress", "Puppeteer" ], "valid_edges": [ [ "Atom_Egoyan", "location", "Victoria" ], [ "Beloved", "film_crew_role", "Puppeteer" ], [ "Beloved", "produced_by", "Jonathan_Demme" ], [ "Glenda_Jackson", "basic_title", "Member_of_Parliament-GB" ], [ "Jennifer_Tilly", "acted_in", "The_Fabulous_Baker_Boys" ], [ "Jennifer_Tilly", "location", "Victoria" ], [ "Jonathan_Demme", "film", "Beloved" ], [ "Jonathan_Demme", "film", "Rachel_Getting_Married" ], [ "Jonathan_Demme", "nominated_for", "Rachel_Getting_Married" ], [ "Member_of_Parliament-GB", "jurisdiction_of_office", "Victoria" ], [ "National_Board_of_Review_Award_for_Best_Actress", "award_winner", "Glenda_Jackson" ], [ "Rachel_Getting_Married", "award_honor_award", "National_Board_of_Review_Award_for_Best_Actress" ], [ "Rachel_Getting_Married", "award_winner", "Jonathan_Demme" ], [ "Rachel_Getting_Married", "produced_by", "Jonathan_Demme" ], [ "The_Fabulous_Baker_Boys", "award_honor_award", "National_Board_of_Review_Award_for_Best_Actress" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 5257, Cats_&_Dogs 726, Charlton_Heston 12167, Designer 9153, Edward_Carfagno 12061, Frank_R._McKelvy 4665, Goya_Award_for_Best_Original_Screenplay 3880, Guillermo_del_Toro 11967, Hal_Pereira 7161, Hans_Dreier 571, Henry_Bumstead 5652, Pasadena 615, Production_Designer 10508, Prostate_cancer 11637, The_Greatest_Show_on_Earth 6155, The_Ten_Commandments 4429, Walter_H._Tyler src, edge_attr, dst 5257, award_winner, 726 726, acted_in, 5257 726, acted_in, 11637 726, acted_in, 6155 726, nominated_for, 6155 9153, award_nominee, 12061 9153, profession, 615 12061, award_nominee, 9153 12061, award_nominee, 11967 4665, award_winner, 3880 3880, award, 4665 3880, profession, 12167 11967, award_nominee, 12061 11967, award_nominee, 571 11967, award_nominee, 4429 11967, nominated_for, 6155 7161, award_nominee, 4429 7161, award_winner, 4429 571, award_nominee, 12061 571, award_nominee, 11967 571, influenced_by, 7161 571, place_of_death, 5652 571, profession, 615 5652, place, 5652 615, specialization_of, 12167 10508, people, 726 10508, people, 571 11637, film_art_direction_by, 11967 4429, award_nominee, 11967 4429, award_nominee, 7161 4429, award_winner, 7161 Question: For what reason are Cats_&_Dogs, Goya_Award_for_Best_Original_Screenplay, and Henry_Bumstead associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Cats_&_Dogs", "Goya_Award_for_Best_Original_Screenplay", "Henry_Bumstead" ], "valid_edges": [ [ "Cats_&_Dogs", "award_winner", "Charlton_Heston" ], [ "Charlton_Heston", "acted_in", "Cats_&_Dogs" ], [ "Charlton_Heston", "acted_in", "The_Greatest_Show_on_Earth" ], [ "Charlton_Heston", "acted_in", "The_Ten_Commandments" ], [ "Charlton_Heston", "nominated_for", "The_Ten_Commandments" ], [ "Edward_Carfagno", "award_nominee", "Frank_R._McKelvy" ], [ "Edward_Carfagno", "profession", "Production_Designer" ], [ "Frank_R._McKelvy", "award_nominee", "Edward_Carfagno" ], [ "Frank_R._McKelvy", "award_nominee", "Hal_Pereira" ], [ "Goya_Award_for_Best_Original_Screenplay", "award_winner", "Guillermo_del_Toro" ], [ "Guillermo_del_Toro", "award", "Goya_Award_for_Best_Original_Screenplay" ], [ "Guillermo_del_Toro", "profession", "Designer" ], [ "Hal_Pereira", "award_nominee", "Frank_R._McKelvy" ], [ "Hal_Pereira", "award_nominee", "Henry_Bumstead" ], [ "Hal_Pereira", "award_nominee", "Walter_H._Tyler" ], [ "Hal_Pereira", "nominated_for", "The_Ten_Commandments" ], [ "Hans_Dreier", "award_nominee", "Walter_H._Tyler" ], [ "Hans_Dreier", "award_winner", "Walter_H._Tyler" ], [ "Henry_Bumstead", "award_nominee", "Frank_R._McKelvy" ], [ "Henry_Bumstead", "award_nominee", "Hal_Pereira" ], [ "Henry_Bumstead", "influenced_by", "Hans_Dreier" ], [ "Henry_Bumstead", "place_of_death", "Pasadena" ], [ "Henry_Bumstead", "profession", "Production_Designer" ], [ "Pasadena", "place", "Pasadena" ], [ "Production_Designer", "specialization_of", "Designer" ], [ "Prostate_cancer", "people", "Charlton_Heston" ], [ "Prostate_cancer", "people", "Henry_Bumstead" ], [ "The_Greatest_Show_on_Earth", "film_art_direction_by", "Hal_Pereira" ], [ "Walter_H._Tyler", "award_nominee", "Hal_Pereira" ], [ "Walter_H._Tyler", "award_nominee", "Hans_Dreier" ], [ "Walter_H._Tyler", "award_winner", "Hans_Dreier" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 6789, Aasif_Mandvi 10388, Americana 3850, Graeme_Revell 1495, Levon_Helm 12239, Margin_Call 7729, Robert_Rodriguez 8618, San_Antonio 6680, Steve_Earle 7611, The_Band 4163, The_Siege src, edge_attr, dst 6789, acted_in, 4163 6789, nominated_for, 12239 10388, artists, 1495 10388, artists, 6680 10388, artists, 7611 3850, award_nominee, 7729 1495, group, 7611 7729, award_nominee, 3850 7729, location, 8618 7729, place_of_birth, 8618 8618, place, 8618 6680, location, 8618 4163, film_music, 3850 Question: How are Levon_Helm, Margin_Call, and Robert_Rodriguez related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Levon_Helm", "Margin_Call", "Robert_Rodriguez" ], "valid_edges": [ [ "Aasif_Mandvi", "acted_in", "The_Siege" ], [ "Aasif_Mandvi", "nominated_for", "Margin_Call" ], [ "Americana", "artists", "Levon_Helm" ], [ "Americana", "artists", "Steve_Earle" ], [ "Americana", "artists", "The_Band" ], [ "Graeme_Revell", "award_nominee", "Robert_Rodriguez" ], [ "Levon_Helm", "group", "The_Band" ], [ "Robert_Rodriguez", "award_nominee", "Graeme_Revell" ], [ "Robert_Rodriguez", "location", "San_Antonio" ], [ "Robert_Rodriguez", "place_of_birth", "San_Antonio" ], [ "San_Antonio", "place", "San_Antonio" ], [ "Steve_Earle", "location", "San_Antonio" ], [ "The_Siege", "film_music", "Graeme_Revell" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 7911, American_Masters 13254, Bill_Pullman 1288, Brett_Ratner 2343, Celebrity 9061, Dutch-American 10484, Famke_Janssen 14022, Judy_Davis 1190, Peter_Fonda src, edge_attr, dst 13254, acted_in, 7911 1288, nominated_for, 7911 1288, program, 7911 9061, people, 13254 9061, people, 10484 9061, people, 1190 10484, acted_in, 2343 14022, acted_in, 2343 Question: In what context are Brett_Ratner, Judy_Davis, and Peter_Fonda connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Brett_Ratner", "Judy_Davis", "Peter_Fonda" ], "valid_edges": [ [ "Bill_Pullman", "acted_in", "American_Masters" ], [ "Brett_Ratner", "nominated_for", "American_Masters" ], [ "Brett_Ratner", "program", "American_Masters" ], [ "Dutch-American", "people", "Bill_Pullman" ], [ "Dutch-American", "people", "Famke_Janssen" ], [ "Dutch-American", "people", "Peter_Fonda" ], [ "Famke_Janssen", "acted_in", "Celebrity" ], [ "Judy_Davis", "acted_in", "Celebrity" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 4929, Adam_Smith 12614, Dante_Alighieri 13068, Economist 951, Enrico_Fermi 7907, Epistemology 3521, Ezra_Pound 11712, Florence 7343, Friedrich_Hayek 2944, George_Frideric_Handel 2879, Hannah_Arendt 10269, Hanover 2721, Hope_Davis 10004, J._M._Coetzee 13645, John_Dewey 5006, John_Locke 2980, Leo_Strauss 6958, Leonardo_da_Vinci 2085, Ludwig_von_Mises 11615, Martin_Heidegger 777, Metaphysics 786, Milton_Friedman 10332, Mumford 9419, Murray_Rothbard 9376, Plato 9721, Political_philosophy 5109, Psychologist-GB 2154, Richard_Rorty 9323, Scientist-GB 2418, University_of_Chicago 5537, William_James src, edge_attr, dst 12614, location, 11712 12614, place_of_birth, 11712 951, company, 2418 951, profession, 9323 3521, influenced_by, 12614 11712, place, 11712 7343, company, 2418 7343, influenced_by, 4929 7343, influenced_by, 5006 7343, influenced_by, 2085 7343, interests, 9721 7343, profession, 13068 2944, location, 11712 2944, location, 10269 2879, company, 2418 2879, influenced_by, 11615 2879, influenced_by, 9376 2879, interests, 7907 2879, interests, 777 2879, interests, 9721 2879, location, 10269 2879, place_of_birth, 10269 2721, acted_in, 10332 10004, company, 2418 10004, influenced_by, 3521 13645, influenced_by, 5006 13645, influenced_by, 9376 13645, influenced_by, 5537 13645, interests, 7907 13645, organizations_founded, 2418 13645, peers, 5537 13645, profession, 5109 2980, company, 2418 2980, influenced_by, 11615 2980, influenced_by, 9376 2980, interests, 7907 2980, interests, 777 2980, interests, 9721 2980, profession, 9323 6958, location, 11712 6958, profession, 9323 786, company, 2418 786, influenced_by, 4929 786, influenced_by, 7343 786, influenced_by, 2085 786, influenced_by, 9419 786, profession, 13068 786, profession, 9323 9419, influenced_by, 7343 5109, films, 10332 2154, influenced_by, 13645 2154, influenced_by, 2980 2154, influenced_by, 11615 2154, influenced_by, 9376 2154, influenced_by, 5537 2154, interests, 7907 2418, campuses, 2418 2418, educational_institution, 2418 2418, student, 13645 2418, student, 2154 Question: For what reason are Florence, Hope_Davis, and University_of_Chicago associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Florence", "Hope_Davis", "University_of_Chicago" ], "valid_edges": [ [ "Dante_Alighieri", "location", "Florence" ], [ "Dante_Alighieri", "place_of_birth", "Florence" ], [ "Enrico_Fermi", "company", "University_of_Chicago" ], [ "Enrico_Fermi", "profession", "Scientist-GB" ], [ "Ezra_Pound", "influenced_by", "Dante_Alighieri" ], [ "Florence", "place", "Florence" ], [ "Friedrich_Hayek", "company", "University_of_Chicago" ], [ "Friedrich_Hayek", "influenced_by", "Adam_Smith" ], [ "Friedrich_Hayek", "influenced_by", "John_Locke" ], [ "Friedrich_Hayek", "influenced_by", "Ludwig_von_Mises" ], [ "Friedrich_Hayek", "interests", "Political_philosophy" ], [ "Friedrich_Hayek", "profession", "Economist" ], [ "George_Frideric_Handel", "location", "Florence" ], [ "George_Frideric_Handel", "location", "Hanover" ], [ "Hannah_Arendt", "company", "University_of_Chicago" ], [ "Hannah_Arendt", "influenced_by", "Martin_Heidegger" ], [ "Hannah_Arendt", "influenced_by", "Plato" ], [ "Hannah_Arendt", "interests", "Epistemology" ], [ "Hannah_Arendt", "interests", "Metaphysics" ], [ "Hannah_Arendt", "interests", "Political_philosophy" ], [ "Hannah_Arendt", "location", "Hanover" ], [ "Hannah_Arendt", "place_of_birth", "Hanover" ], [ "Hope_Davis", "acted_in", "Mumford" ], [ "J._M._Coetzee", "company", "University_of_Chicago" ], [ "J._M._Coetzee", "influenced_by", "Ezra_Pound" ], [ "John_Dewey", "influenced_by", "John_Locke" ], [ "John_Dewey", "influenced_by", "Plato" ], [ "John_Dewey", "influenced_by", "William_James" ], [ "John_Dewey", "interests", "Epistemology" ], [ "John_Dewey", "organizations_founded", "University_of_Chicago" ], [ "John_Dewey", "peers", "William_James" ], [ "John_Dewey", "profession", "Psychologist-GB" ], [ "Leo_Strauss", "company", "University_of_Chicago" ], [ "Leo_Strauss", "influenced_by", "Martin_Heidegger" ], [ "Leo_Strauss", "influenced_by", "Plato" ], [ "Leo_Strauss", "interests", "Epistemology" ], [ "Leo_Strauss", "interests", "Metaphysics" ], [ "Leo_Strauss", "interests", "Political_philosophy" ], [ "Leo_Strauss", "profession", "Scientist-GB" ], [ "Leonardo_da_Vinci", "location", "Florence" ], [ "Leonardo_da_Vinci", "profession", "Scientist-GB" ], [ "Milton_Friedman", "company", "University_of_Chicago" ], [ "Milton_Friedman", "influenced_by", "Adam_Smith" ], [ "Milton_Friedman", "influenced_by", "Friedrich_Hayek" ], [ "Milton_Friedman", "influenced_by", "Ludwig_von_Mises" ], [ "Milton_Friedman", "influenced_by", "Murray_Rothbard" ], [ "Milton_Friedman", "profession", "Economist" ], [ "Milton_Friedman", "profession", "Scientist-GB" ], [ "Murray_Rothbard", "influenced_by", "Friedrich_Hayek" ], [ "Psychologist-GB", "films", "Mumford" ], [ "Richard_Rorty", "influenced_by", "John_Dewey" ], [ "Richard_Rorty", "influenced_by", "Leo_Strauss" ], [ "Richard_Rorty", "influenced_by", "Martin_Heidegger" ], [ "Richard_Rorty", "influenced_by", "Plato" ], [ "Richard_Rorty", "influenced_by", "William_James" ], [ "Richard_Rorty", "interests", "Epistemology" ], [ "University_of_Chicago", "campuses", "University_of_Chicago" ], [ "University_of_Chicago", "educational_institution", "University_of_Chicago" ], [ "University_of_Chicago", "student", "John_Dewey" ], [ "University_of_Chicago", "student", "Richard_Rorty" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 14053, Blood_Diamond 24, Carter_Bays 496, Craig_Thomas 2334, Gran_Torino 842, House_of_Sand_and_Fog 2498, How_I_Met_Your_Mother 7064, Inkheart 2557, Jennifer_Connelly 4206, Pamela_Fryman 2002, Toby_Emmerich 7054, Tragedy 112, Wesleyan_University src, edge_attr, dst 24, award_nominee, 496 24, nominated_for, 2498 24, tv_program, 2498 496, award_nominee, 4206 496, program, 2498 496, tv_program, 2498 2498, program_creator, 24 2498, program_creator, 496 7064, executive_produced_by, 2002 2557, acted_in, 14053 2557, acted_in, 842 2557, acted_in, 7064 4206, award_nominee, 24 4206, award_nominee, 496 4206, nominated_for, 2498 4206, program, 2498 7054, films, 14053 7054, films, 2334 7054, films, 842 112, student, 24 112, student, 496 112, student, 2002 Question: For what reason are Gran_Torino, Inkheart, and Pamela_Fryman associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Gran_Torino", "Inkheart", "Pamela_Fryman" ], "valid_edges": [ [ "Carter_Bays", "award_nominee", "Craig_Thomas" ], [ "Carter_Bays", "nominated_for", "How_I_Met_Your_Mother" ], [ "Carter_Bays", "tv_program", "How_I_Met_Your_Mother" ], [ "Craig_Thomas", "award_nominee", "Pamela_Fryman" ], [ "Craig_Thomas", "program", "How_I_Met_Your_Mother" ], [ "Craig_Thomas", "tv_program", "How_I_Met_Your_Mother" ], [ "How_I_Met_Your_Mother", "program_creator", "Carter_Bays" ], [ "How_I_Met_Your_Mother", "program_creator", "Craig_Thomas" ], [ "Inkheart", "executive_produced_by", "Toby_Emmerich" ], [ "Jennifer_Connelly", "acted_in", "Blood_Diamond" ], [ "Jennifer_Connelly", "acted_in", "House_of_Sand_and_Fog" ], [ "Jennifer_Connelly", "acted_in", "Inkheart" ], [ "Pamela_Fryman", "award_nominee", "Carter_Bays" ], [ "Pamela_Fryman", "award_nominee", "Craig_Thomas" ], [ "Pamela_Fryman", "nominated_for", "How_I_Met_Your_Mother" ], [ "Pamela_Fryman", "program", "How_I_Met_Your_Mother" ], [ "Tragedy", "films", "Blood_Diamond" ], [ "Tragedy", "films", "Gran_Torino" ], [ "Tragedy", "films", "House_of_Sand_and_Fog" ], [ "Wesleyan_University", "student", "Carter_Bays" ], [ "Wesleyan_University", "student", "Craig_Thomas" ], [ "Wesleyan_University", "student", "Toby_Emmerich" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 8424, 3000_Miles_to_Graceland 8547, Abidjan 7834, Elmore_Leonard 3085, Engineering-GB 2834, Greenwich_Mean_Time_Zone 9970, Heist_film 12787, Jon_Lovitz 10211, Loughborough_University 1560, Out_of_Sight 7609, University_of_California,_Irvine 9348, University_of_Detroit_Mercy src, edge_attr, dst 8424, genre, 9970 8547, time_zones, 2834 9970, titles, 8424 9970, titles, 1560 12787, acted_in, 8424 10211, major_field_of_study, 3085 10211, time_zones, 2834 1560, genre, 9970 1560, story_by, 7834 7609, major_field_of_study, 3085 7609, student, 12787 9348, educational_institution, 9348 9348, major_field_of_study, 3085 9348, student, 7834 Question: How are 3000_Miles_to_Graceland, Abidjan, and University_of_Detroit_Mercy related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "3000_Miles_to_Graceland", "Abidjan", "University_of_Detroit_Mercy" ], "valid_edges": [ [ "3000_Miles_to_Graceland", "genre", "Heist_film" ], [ "Abidjan", "time_zones", "Greenwich_Mean_Time_Zone" ], [ "Heist_film", "titles", "3000_Miles_to_Graceland" ], [ "Heist_film", "titles", "Out_of_Sight" ], [ "Jon_Lovitz", "acted_in", "3000_Miles_to_Graceland" ], [ "Loughborough_University", "major_field_of_study", "Engineering-GB" ], [ "Loughborough_University", "time_zones", "Greenwich_Mean_Time_Zone" ], [ "Out_of_Sight", "genre", "Heist_film" ], [ "Out_of_Sight", "story_by", "Elmore_Leonard" ], [ "University_of_California,_Irvine", "major_field_of_study", "Engineering-GB" ], [ "University_of_California,_Irvine", "student", "Jon_Lovitz" ], [ "University_of_Detroit_Mercy", "educational_institution", "University_of_Detroit_Mercy" ], [ "University_of_Detroit_Mercy", "major_field_of_study", "Engineering-GB" ], [ "University_of_Detroit_Mercy", "student", "Elmore_Leonard" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 8430, Alec_Berg 8031, Andrew_Scheinman 4649, Brothers 12048, Curb_Your_Enthusiasm 12120, David_Mandel 2573, Edward_Kitsis 2833, Jeff_Schaffer 6233, Larry_Charles 10246, Mare_Winningham 4240, Phoenix 11158, Scottsdale 11390, Tim_Kaiser 11223, Writers_Guild_of_America_Awards_2005 src, edge_attr, dst 8430, award_nominee, 6233 8430, award_nominee, 11390 8031, award_nominee, 6233 8031, award_winner, 6233 12120, award_nominee, 6233 12120, award_nominee, 11390 2573, location_of_ceremony, 11158 2833, award_nominee, 6233 6233, award_nominee, 8430 6233, award_nominee, 8031 6233, award_nominee, 12120 6233, award_winner, 8031 6233, nominated_for, 12048 6233, program, 12048 10246, acted_in, 4649 10246, location, 4240 4240, adjoins, 11158 4240, contains, 11158 11158, adjoins, 4240 11158, place, 11158 11390, award_nominee, 8031 11390, award_nominee, 12120 11390, award_nominee, 2833 11390, award_nominee, 6233 11390, award_winner, 8031 11390, award_winner, 6233 11223, award_winner, 2573 11223, honored_for, 12048 Question: How are Andrew_Scheinman, Brothers, and Edward_Kitsis related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Andrew_Scheinman", "Brothers", "Edward_Kitsis" ], "valid_edges": [ [ "Alec_Berg", "award_nominee", "Larry_Charles" ], [ "Alec_Berg", "award_nominee", "Tim_Kaiser" ], [ "Andrew_Scheinman", "award_nominee", "Larry_Charles" ], [ "Andrew_Scheinman", "award_winner", "Larry_Charles" ], [ "David_Mandel", "award_nominee", "Larry_Charles" ], [ "David_Mandel", "award_nominee", "Tim_Kaiser" ], [ "Edward_Kitsis", "location_of_ceremony", "Scottsdale" ], [ "Jeff_Schaffer", "award_nominee", "Larry_Charles" ], [ "Larry_Charles", "award_nominee", "Alec_Berg" ], [ "Larry_Charles", "award_nominee", "Andrew_Scheinman" ], [ "Larry_Charles", "award_nominee", "David_Mandel" ], [ "Larry_Charles", "award_winner", "Andrew_Scheinman" ], [ "Larry_Charles", "nominated_for", "Curb_Your_Enthusiasm" ], [ "Larry_Charles", "program", "Curb_Your_Enthusiasm" ], [ "Mare_Winningham", "acted_in", "Brothers" ], [ "Mare_Winningham", "location", "Phoenix" ], [ "Phoenix", "adjoins", "Scottsdale" ], [ "Phoenix", "contains", "Scottsdale" ], [ "Scottsdale", "adjoins", "Phoenix" ], [ "Scottsdale", "place", "Scottsdale" ], [ "Tim_Kaiser", "award_nominee", "Andrew_Scheinman" ], [ "Tim_Kaiser", "award_nominee", "David_Mandel" ], [ "Tim_Kaiser", "award_nominee", "Jeff_Schaffer" ], [ "Tim_Kaiser", "award_nominee", "Larry_Charles" ], [ "Tim_Kaiser", "award_winner", "Andrew_Scheinman" ], [ "Tim_Kaiser", "award_winner", "Larry_Charles" ], [ "Writers_Guild_of_America_Awards_2005", "award_winner", "Edward_Kitsis" ], [ "Writers_Guild_of_America_Awards_2005", "honored_for", "Curb_Your_Enthusiasm" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 4069, 10th_Screen_Actors_Guild_Awards 5397, 16th_Screen_Actors_Guild_Awards 4434, Allison_Janney 12652, Amy_Brenneman 13147, Anna_Gunn 13656, Anna_Paquin 10694, Argentinos_Juniors 7546, Ben_Foster 11641, Brad_Dourif 4449, Brazil_national_football_team 5931, Carnegie_Mellon_University 9557, Claire_Danes 11578, David_Zayas 3649, Deadwood 728, Desmond_Harrington 504, Dexter 4304, Domestic_partnership 545, Dominic_Monaghan 11175, Earlham_College 13063, Edward_James_Olmos 7938, Executive_Producer 240, FC_Barcelona 6748, Frances_Conroy 7913, Freddy_Rodriguez 11154, Futebol_Clube_do_Porto 1380, Game_of_Thrones 9378, Holly_Hunter 3214, Ian_McShane 9424, James_Cromwell 3137, James_Remar 3606, Jeffrey_Jones 718, Jennifer_Carpenter 9080, Jeremy_Sisto 8476, Jim_Beaver 1941, Jimmy_Smits 247, Joanna_Cassidy 3916, John_Hawkes 12137, John_Lithgow 3162, Jon_Hamm 9546, Jonny_Lee_Miller 5923, Julia_Stiles 8258, Julie_Benz 8, Justin_Theroux 5828, Justina_Machado 1828, Juventus_F.C. 7150, Kathy_Baker 13420, Lauren_Ambrose 10187, Lili_Taylor 3432, Lisa_Gay_Hamilton 3454, Manchester_City_F.C. 14152, Marlee_Matlin 8736, Marshall_University 2715, Mary_Kay_Place 3396, Mehcad_Brooks 11345, Mena_Suvari 5680, Michael_C._Hall 14095, Molly_Parker 5011, NYPD_Blue 1002, National_Society_of_Film_Critics_Award_for_Best_Actress 10217, New_York_University 10791, Northwestern_University 10478, Peter_Facinelli 9536, Peter_Krause 13817, Peter_Weller 9500, Picket_Fences 13578, Powers_Boothe 6570, Primetime_Emmy_Award_for_Outstanding_Continued_Performance_by_an_Actress_in_a_Leading_Role_in_a_Dramatic_Series 2390, Primetime_Emmy_Award_for_Outstanding_Drama_Series 1862, Primetime_Emmy_Award_for_Outstanding_Guest_Actress_-_Drama_Series 4770, Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series 7885, Primetime_Emmy_Award_for_Outstanding_Supporting_Actor_-_Drama_Series 2504, Primetime_Emmy_Award_for_Outstanding_Supporting_Actress_-_Drama_Series 2859, Rachel_Griffiths 6209, Rainn_Wilson 5371, Real_Madrid_C.F. 13240, Red 7797, Richard_Jenkins 13294, S.L._Benfica 8717, S.S._Lazio 2230, Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Female_Actor_in_a_Drama_Series 10294, Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series 13631, Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series 10017, Sevilla_FC 7138, Shea_Whigham 1565, Sissy_Spacek 2571, Six_Feet_Under 5085, Southern_Methodist_University 11009, Spain_national_football_team 2795, Stephen_Dillane 2148, The_Good_Wife 9807, The_Practice 1294, Timothy_Olyphant 4500, Titus_Welliver 205, True_Blood 10206, University_of_Exeter 200, Uruguay_national_football_team 9576, Valencia_CF 6919, Villarreal_CF 12922, White 753, William_Sanderson src, edge_attr, dst 4069, award_winner, 5680 5397, award_winner, 5680 4434, award, 13631 4434, award_nominee, 1565 4434, award_nominee, 2795 4434, award_winner, 1565 12652, award, 6570 12652, award, 1862 12652, award, 2504 12652, award, 2230 12652, award_nominee, 7150 12652, award_nominee, 3432 12652, award_nominee, 2715 12652, award_nominee, 14095 12652, award_nominee, 2795 12652, nominated_for, 5011 13147, award, 2504 13147, award, 13631 13147, award_nominee, 11641 13147, award_nominee, 3214 13147, award_nominee, 3606 13147, award_nominee, 8476 13147, award_nominee, 3916 13147, award_nominee, 13578 13147, award_nominee, 1294 13147, award_nominee, 4500 13147, award_nominee, 753 13147, nominated_for, 3649 13656, award, 13631 13656, award_nominee, 753 13656, award_winner, 753 10694, colors, 12922 7546, award, 13631 7546, award_winner, 5680 11641, award, 7885 11641, award, 13631 11641, award_nominee, 13147 11641, award_nominee, 3214 11641, award_nominee, 3606 11641, award_nominee, 8476 11641, award_nominee, 3916 11641, award_nominee, 14095 11641, award_nominee, 13578 11641, award_nominee, 1294 11641, award_nominee, 4500 11641, award_nominee, 753 11641, nominated_for, 3649 4449, current_club, 240 4449, current_club, 3454 4449, current_club, 5371 4449, current_club, 13294 4449, current_club, 10017 4449, current_club, 6919 5931, student, 9378 5931, student, 3432 9557, award, 13631 9557, award_nominee, 2795 11578, award, 13631 11578, award_nominee, 5680 3649, actor, 13147 3649, actor, 3214 3649, actor, 3606 3649, actor, 8476 3649, actor, 3916 3649, actor, 14095 3649, actor, 13578 3649, actor, 1294 3649, actor, 4500 3649, actor, 753 3649, award_winner, 3214 3649, producer_type, 7938 728, award, 13631 728, award_nominee, 5680 504, actor, 5680 504, award_winner, 5680 545, award, 13631 545, award_nominee, 11641 11175, colors, 12922 11175, educational_institution, 11175 11175, student, 5680 13063, award, 13631 13063, award_nominee, 5680 6748, award, 13631 6748, award_nominee, 5680 6748, award_winner, 5680 7913, award, 13631 7913, award_nominee, 5680 11154, colors, 12922 1380, actor, 2795 9378, award, 1002 9378, award, 6570 9378, award, 2230 9378, award_nominee, 12652 9378, award_nominee, 3214 9378, award_nominee, 7150 9378, award_nominee, 3432 9378, award_nominee, 2715 9378, award_nominee, 14095 9378, award_nominee, 1565 9378, type_of_union, 4304 3214, award, 4770 3214, award, 10294 3214, award, 13631 3214, award_nominee, 12652 3214, award_nominee, 11641 3214, award_nominee, 9378 3214, award_nominee, 3606 3214, award_nominee, 8476 3214, award_nominee, 3916 3214, award_nominee, 7150 3214, award_nominee, 3432 3214, award_nominee, 2715 3214, award_nominee, 14095 3214, award_nominee, 13578 3214, award_nominee, 1565 3214, award_nominee, 2795 3214, award_nominee, 1294 3214, award_nominee, 4500 3214, award_nominee, 753 3214, nominated_for, 3649 3214, type_of_union, 4304 9424, award, 13631 9424, award_nominee, 5680 3137, award, 13631 3137, award_nominee, 5680 3606, award, 13631 3606, award_nominee, 13147 3606, award_nominee, 11641 3606, award_nominee, 8476 3606, award_nominee, 3916 3606, award_nominee, 14095 3606, award_nominee, 13578 3606, award_nominee, 1294 3606, award_nominee, 4500 3606, award_nominee, 753 3606, nominated_for, 3649 718, award, 13631 718, spouse, 5680 9080, award, 13631 9080, award_nominee, 5680 8476, award, 13631 8476, award_nominee, 13147 8476, award_nominee, 11641 8476, award_nominee, 3214 8476, award_nominee, 3606 8476, award_nominee, 3916 8476, award_nominee, 13578 8476, award_nominee, 1294 8476, award_nominee, 4500 8476, award_nominee, 753 1941, award, 13631 1941, award_nominee, 5680 247, award, 13631 247, award_nominee, 5680 3916, award, 13631 3916, award_nominee, 13147 3916, award_nominee, 11641 3916, award_nominee, 3214 3916, award_nominee, 3606 3916, award_nominee, 8476 3916, award_nominee, 14095 3916, award_nominee, 1294 3916, award_nominee, 4500 3916, award_nominee, 753 3916, nominated_for, 3649 12137, award, 13631 12137, award_nominee, 5680 3162, award, 13631 3162, award_winner, 4500 9546, award, 13631 9546, award_nominee, 5680 5923, award, 13631 5923, award_nominee, 5680 8258, award, 13631 8258, award_nominee, 5680 8, award, 13631 8, award_nominee, 5680 5828, award, 13631 5828, award_nominee, 5680 5828, award_winner, 5680 1828, colors, 12922 7150, award, 6570 7150, award, 1862 7150, award, 2230 7150, award, 13631 7150, award_nominee, 12652 7150, award_nominee, 9378 7150, award_nominee, 3214 7150, award_nominee, 3432 7150, award_nominee, 14152 7150, award_nominee, 2715 7150, award_nominee, 14095 7150, award_nominee, 7138 7150, award_nominee, 1565 13420, award, 13631 13420, award_nominee, 5680 13420, award_winner, 5680 10187, award, 13631 10187, award_winner, 5680 3432, award, 13631 3432, award_nominee, 12652 3432, award_nominee, 9378 3432, award_nominee, 3214 3432, award_nominee, 7150 3432, award_nominee, 14095 3432, award_nominee, 7138 3432, award_nominee, 2795 3432, nominated_for, 9807 3454, colors, 12922 14152, award, 13631 8736, colors, 12922 8736, student, 11641 2715, award, 1862 2715, award_nominee, 3214 2715, award_nominee, 7150 2715, award_nominee, 3432 2715, award_nominee, 1565 2715, award_nominee, 2795 3396, award, 13631 3396, award_winner, 753 11345, award, 13631 11345, award_nominee, 5680 5680, award, 2390 5680, award, 4770 5680, award, 10294 5680, award_nominee, 11578 5680, award_nominee, 728 5680, award_nominee, 13063 5680, award_nominee, 6748 5680, award_nominee, 7913 5680, award_nominee, 9424 5680, award_nominee, 718 5680, award_nominee, 1941 5680, award_nominee, 247 5680, award_nominee, 5923 5680, award_nominee, 8258 5680, award_nominee, 8 5680, award_nominee, 5828 5680, award_nominee, 13420 5680, award_nominee, 10187 5680, award_nominee, 11345 5680, award_nominee, 9536 5680, award_nominee, 13817 5680, award_nominee, 2859 5680, award_nominee, 6209 5680, award_nominee, 7797 5680, award_winner, 7546 5680, award_winner, 6748 5680, award_winner, 7913 5680, award_winner, 5828 5680, award_winner, 13420 5680, award_winner, 9536 5680, award_winner, 2859 5680, nominated_for, 504 5680, nominated_for, 2571 5680, participant, 718 5680, producer_type, 7938 5680, program, 504 5680, spouse, 718 14095, award, 13631 14095, award_nominee, 12652 14095, award_nominee, 13147 14095, award_nominee, 11641 14095, award_nominee, 9378 14095, award_nominee, 3214 14095, award_nominee, 3606 14095, award_nominee, 8476 14095, award_nominee, 3916 14095, award_nominee, 7150 14095, award_nominee, 3432 14095, award_nominee, 2715 14095, award_nominee, 13578 14095, award_nominee, 1565 14095, award_nominee, 2795 14095, award_nominee, 1294 14095, award_nominee, 4500 14095, award_nominee, 753 14095, nominated_for, 3649 5011, award_honor_award, 13631 1002, award_winner, 9378 1002, award_winner, 1565 10217, colors, 12922 10217, student, 3432 10217, student, 5680 10217, student, 4500 10791, colors, 12922 10791, student, 13147 10478, award, 13631 10478, award_nominee, 5680 9536, award, 13631 9536, award_winner, 5680 13817, award, 13631 13817, award_nominee, 5680 9500, actor, 7150 9500, award_winner, 7150 13578, award, 13631 13578, award_nominee, 13147 13578, award_nominee, 11641 13578, award_nominee, 3214 13578, award_nominee, 3606 13578, award_nominee, 8476 13578, award_nominee, 3916 13578, award_nominee, 1294 13578, award_nominee, 753 13578, nominated_for, 3649 6570, award_winner, 7150 2390, nominated_for, 3649 4770, nominated_for, 3649 7885, nominated_for, 3649 2504, nominated_for, 3649 2859, award, 13631 2859, award_nominee, 5680 6209, award, 13631 6209, award_nominee, 5680 6209, award_winner, 5680 5371, colors, 12922 13240, split_to, 12922 7797, award, 13631 7797, award_nominee, 5680 13294, colors, 12922 8717, colors, 12922 2230, award_winner, 7150 10294, nominated_for, 3649 13631, award_winner, 4434 13631, award_winner, 7546 13631, award_winner, 545 13631, award_winner, 6748 13631, award_winner, 7913 13631, award_winner, 1941 13631, award_winner, 3162 13631, award_winner, 5828 13631, award_winner, 10187 13631, award_winner, 5680 13631, award_winner, 9536 13631, award_winner, 2859 13631, award_winner, 6209 13631, award_winner, 7138 13631, ceremony, 4069 13631, ceremony, 5397 13631, nominated_for, 3649 13631, nominated_for, 504 13631, nominated_for, 1380 13631, nominated_for, 9500 13631, nominated_for, 2571 13631, nominated_for, 2148 13631, nominated_for, 9807 13631, nominated_for, 205 10017, colors, 12922 7138, award, 13631 7138, award_nominee, 7150 7138, award_nominee, 3432 1565, award, 1002 1565, award, 1862 1565, award_nominee, 4434 1565, award_nominee, 12652 1565, award_nominee, 9378 1565, award_nominee, 3214 1565, award_nominee, 3432 1565, award_nominee, 2715 1565, award_nominee, 14095 1565, award_nominee, 2795 2571, actor, 5680 2571, award_honor_award, 13631 2571, award_winner, 5680 5085, student, 13578 5085, student, 753 11009, colors, 13240 11009, colors, 12922 11009, current_club, 240 11009, current_club, 5371 11009, current_club, 9576 11009, current_club, 6919 2795, award_nominee, 4434 2795, award_nominee, 12652 2795, award_nominee, 9378 2795, award_nominee, 3214 2795, award_nominee, 7150 2795, award_nominee, 3432 2795, award_nominee, 2715 2795, award_nominee, 14095 2795, type_of_union, 4304 2148, actor, 4500 9807, actor, 3432 1294, award, 4770 1294, award, 13631 1294, award_nominee, 13147 1294, award_nominee, 11641 1294, award_nominee, 3606 1294, award_nominee, 8476 1294, award_nominee, 3916 1294, award_nominee, 14095 1294, award_nominee, 13578 1294, award_nominee, 4500 1294, award_nominee, 753 1294, nominated_for, 3649 4500, award, 13631 4500, award_nominee, 13147 4500, award_nominee, 11641 4500, award_nominee, 3214 4500, award_nominee, 3606 4500, award_nominee, 3916 4500, award_nominee, 14095 4500, award_nominee, 13578 4500, award_nominee, 1294 4500, award_winner, 3162 4500, nominated_for, 3649 205, actor, 753 205, award_winner, 753 10206, colors, 12922 10206, student, 2795 200, current_club, 10694 200, current_club, 11154 200, current_club, 1828 200, current_club, 13294 200, current_club, 8717 200, current_club, 6919 9576, colors, 12922 753, award, 13631 753, award_nominee, 13147 753, award_nominee, 13656 753, award_nominee, 3214 753, award_nominee, 3606 753, award_nominee, 8476 753, award_nominee, 3916 753, award_nominee, 3396 753, award_nominee, 14095 753, award_nominee, 13578 753, award_nominee, 1294 753, award_nominee, 4500 753, award_winner, 13656 753, award_winner, 3396 753, nominated_for, 205 Question: In what context are Earlham_College, Molly_Parker, and Villarreal_CF connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Earlham_College", "Molly_Parker", "Villarreal_CF" ], "valid_edges": [ [ "10th_Screen_Actors_Guild_Awards", "award_winner", "Michael_C._Hall" ], [ "16th_Screen_Actors_Guild_Awards", "award_winner", "Michael_C._Hall" ], [ "Allison_Janney", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Allison_Janney", "award_nominee", "Sissy_Spacek" ], [ "Allison_Janney", "award_nominee", "Stephen_Dillane" ], [ "Allison_Janney", "award_winner", "Sissy_Spacek" ], [ "Amy_Brenneman", "award", "Primetime_Emmy_Award_for_Outstanding_Continued_Performance_by_an_Actress_in_a_Leading_Role_in_a_Dramatic_Series" ], [ "Amy_Brenneman", "award", "Primetime_Emmy_Award_for_Outstanding_Guest_Actress_-_Drama_Series" ], [ "Amy_Brenneman", "award", "Primetime_Emmy_Award_for_Outstanding_Supporting_Actress_-_Drama_Series" ], [ "Amy_Brenneman", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Female_Actor_in_a_Drama_Series" ], [ 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"award_nominee", "Holly_Hunter" ], [ "Molly_Parker", "award_nominee", "Ian_McShane" ], [ "Molly_Parker", "award_nominee", "Jeffrey_Jones" ], [ "Molly_Parker", "award_nominee", "Jim_Beaver" ], [ "Molly_Parker", "award_nominee", "John_Hawkes" ], [ "Molly_Parker", "award_nominee", "Kathy_Baker" ], [ "Molly_Parker", "award_nominee", "Lisa_Gay_Hamilton" ], [ "Molly_Parker", "award_nominee", "Mary_Kay_Place" ], [ "Molly_Parker", "award_nominee", "Powers_Boothe" ], [ "Molly_Parker", "award_nominee", "Sissy_Spacek" ], [ "Molly_Parker", "award_nominee", "Stephen_Dillane" ], [ "Molly_Parker", "award_nominee", "Timothy_Olyphant" ], [ "Molly_Parker", "award_nominee", "Titus_Welliver" ], [ "Molly_Parker", "award_nominee", "William_Sanderson" ], [ "Molly_Parker", "nominated_for", "Deadwood" ], [ "NYPD_Blue", "award_honor_award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "National_Society_of_Film_Critics_Award_for_Best_Actress", "award_winner", "Holly_Hunter" ], [ "National_Society_of_Film_Critics_Award_for_Best_Actress", "award_winner", "Sissy_Spacek" ], [ "New_York_University", "colors", "White" ], [ "New_York_University", "student", "Lisa_Gay_Hamilton" ], [ "New_York_University", "student", "Michael_C._Hall" ], [ "New_York_University", "student", "Titus_Welliver" ], [ "Northwestern_University", "colors", "White" ], [ "Northwestern_University", "student", "Anna_Gunn" ], [ "Peter_Facinelli", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Peter_Facinelli", "award_nominee", "Michael_C._Hall" ], [ "Peter_Krause", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Peter_Krause", "award_winner", "Michael_C._Hall" ], [ "Peter_Weller", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Peter_Weller", "award_nominee", "Michael_C._Hall" ], [ "Picket_Fences", "actor", "Kathy_Baker" ], [ "Picket_Fences", "award_winner", "Kathy_Baker" ], [ "Powers_Boothe", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Powers_Boothe", "award_nominee", "Anna_Gunn" ], [ "Powers_Boothe", "award_nominee", "Brad_Dourif" ], [ "Powers_Boothe", "award_nominee", "Ian_McShane" ], [ "Powers_Boothe", "award_nominee", "Jeffrey_Jones" ], [ "Powers_Boothe", "award_nominee", "Jim_Beaver" ], [ "Powers_Boothe", "award_nominee", "John_Hawkes" ], [ "Powers_Boothe", "award_nominee", "Timothy_Olyphant" ], [ "Powers_Boothe", "award_nominee", "William_Sanderson" ], [ "Powers_Boothe", "nominated_for", "Deadwood" ], [ "Primetime_Emmy_Award_for_Outstanding_Continued_Performance_by_an_Actress_in_a_Leading_Role_in_a_Dramatic_Series", "award_winner", "Kathy_Baker" ], [ "Primetime_Emmy_Award_for_Outstanding_Drama_Series", "nominated_for", "Deadwood" ], [ "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series", "nominated_for", "Deadwood" ], [ "Primetime_Emmy_Award_for_Outstanding_Supporting_Actor_-_Drama_Series", "nominated_for", "Deadwood" ], [ "Primetime_Emmy_Award_for_Outstanding_Supporting_Actress_-_Drama_Series", "nominated_for", "Deadwood" ], [ "Rachel_Griffiths", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Rachel_Griffiths", "award_nominee", "Michael_C._Hall" ], [ "Rainn_Wilson", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Rainn_Wilson", "award_nominee", "Michael_C._Hall" ], [ "Rainn_Wilson", "award_winner", "Michael_C._Hall" ], [ "Real_Madrid_C.F.", "colors", "White" ], [ "Red", "split_to", "White" ], [ "Richard_Jenkins", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Richard_Jenkins", "award_nominee", "Michael_C._Hall" ], [ "S.L._Benfica", "colors", "White" ], [ "S.S._Lazio", "colors", "White" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Female_Actor_in_a_Drama_Series", "award_winner", "Kathy_Baker" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series", "nominated_for", "Deadwood" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Allison_Janney" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Ben_Foster" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Dominic_Monaghan" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Frances_Conroy" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Freddy_Rodriguez" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Jimmy_Smits" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Jon_Hamm" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Justina_Machado" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Lili_Taylor" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Michael_C._Hall" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Peter_Krause" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Rachel_Griffiths" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Rainn_Wilson" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Shea_Whigham" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "ceremony", "10th_Screen_Actors_Guild_Awards" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "ceremony", "16th_Screen_Actors_Guild_Awards" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "nominated_for", "Deadwood" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "nominated_for", "Dexter" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "nominated_for", "Game_of_Thrones" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "nominated_for", "Picket_Fences" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "nominated_for", "Six_Feet_Under" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "nominated_for", "The_Good_Wife" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "nominated_for", "The_Practice" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "nominated_for", "True_Blood" ], [ "Sevilla_FC", "colors", "White" ], [ "Shea_Whigham", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Shea_Whigham", "award_nominee", "Kathy_Baker" ], [ "Shea_Whigham", "award_nominee", "Lisa_Gay_Hamilton" ], [ "Sissy_Spacek", "award", "National_Society_of_Film_Critics_Award_for_Best_Actress" ], [ "Sissy_Spacek", "award", "Primetime_Emmy_Award_for_Outstanding_Guest_Actress_-_Drama_Series" ], [ "Sissy_Spacek", "award_nominee", "Allison_Janney" ], [ "Sissy_Spacek", "award_nominee", "Amy_Brenneman" ], [ "Sissy_Spacek", "award_nominee", "Holly_Hunter" ], [ "Sissy_Spacek", "award_nominee", "Ian_McShane" ], [ "Sissy_Spacek", "award_nominee", "Lisa_Gay_Hamilton" ], [ "Sissy_Spacek", "award_nominee", "Mary_Kay_Place" ], [ "Sissy_Spacek", "award_nominee", "Molly_Parker" ], [ "Sissy_Spacek", "award_nominee", "Stephen_Dillane" ], [ "Six_Feet_Under", "actor", "Michael_C._Hall" ], [ "Six_Feet_Under", "award_honor_award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Six_Feet_Under", "award_winner", "Michael_C._Hall" ], [ "Southern_Methodist_University", "student", "Powers_Boothe" ], [ "Southern_Methodist_University", "student", "William_Sanderson" ], [ "Spain_national_football_team", "colors", "Red" ], [ "Spain_national_football_team", "colors", "White" ], [ "Spain_national_football_team", "current_club", "FC_Barcelona" ], [ "Spain_national_football_team", "current_club", "Real_Madrid_C.F." ], [ "Spain_national_football_team", "current_club", "Valencia_CF" ], [ "Spain_national_football_team", "current_club", "Villarreal_CF" ], [ "Stephen_Dillane", "award_nominee", "Allison_Janney" ], [ "Stephen_Dillane", "award_nominee", "Amy_Brenneman" ], [ "Stephen_Dillane", "award_nominee", "Holly_Hunter" ], [ "Stephen_Dillane", "award_nominee", "Ian_McShane" ], [ "Stephen_Dillane", "award_nominee", "Kathy_Baker" ], [ "Stephen_Dillane", "award_nominee", "Lisa_Gay_Hamilton" ], [ "Stephen_Dillane", "award_nominee", "Mary_Kay_Place" ], [ "Stephen_Dillane", "award_nominee", "Molly_Parker" ], [ "Stephen_Dillane", "type_of_union", "Domestic_partnership" ], [ "The_Good_Wife", "actor", "Titus_Welliver" ], [ "The_Practice", "actor", "Lisa_Gay_Hamilton" ], [ "Timothy_Olyphant", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Timothy_Olyphant", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Timothy_Olyphant", "award_nominee", "Anna_Gunn" ], [ "Timothy_Olyphant", "award_nominee", "Brad_Dourif" ], [ "Timothy_Olyphant", "award_nominee", "Jeffrey_Jones" ], [ "Timothy_Olyphant", "award_nominee", "Jim_Beaver" ], [ "Timothy_Olyphant", "award_nominee", "John_Hawkes" ], [ "Timothy_Olyphant", "award_nominee", "Molly_Parker" ], [ "Timothy_Olyphant", "award_nominee", "Powers_Boothe" ], [ "Timothy_Olyphant", "award_nominee", "Titus_Welliver" ], [ "Timothy_Olyphant", "award_nominee", "William_Sanderson" ], [ "Timothy_Olyphant", "nominated_for", "Deadwood" ], [ "Titus_Welliver", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Titus_Welliver", "award_nominee", "Anna_Gunn" ], [ "Titus_Welliver", "award_nominee", "Brad_Dourif" ], [ "Titus_Welliver", "award_nominee", "Ian_McShane" ], [ "Titus_Welliver", "award_nominee", "Jeffrey_Jones" ], [ "Titus_Welliver", "award_nominee", "John_Hawkes" ], [ "Titus_Welliver", "award_nominee", "Molly_Parker" ], [ "Titus_Welliver", "award_nominee", "Powers_Boothe" ], [ "Titus_Welliver", "award_nominee", "Timothy_Olyphant" ], [ "Titus_Welliver", "award_winner", "Jon_Hamm" ], [ "Titus_Welliver", "nominated_for", "Deadwood" ], [ "True_Blood", "actor", "William_Sanderson" ], [ "True_Blood", "award_winner", "William_Sanderson" ], [ "University_of_Exeter", "colors", "White" ], [ "University_of_Exeter", "student", "Stephen_Dillane" ], [ "Uruguay_national_football_team", "current_club", "Argentinos_Juniors" ], [ "Uruguay_national_football_team", "current_club", "Futebol_Clube_do_Porto" ], [ "Uruguay_national_football_team", "current_club", "Juventus_F.C." ], [ "Uruguay_national_football_team", "current_club", "S.L._Benfica" ], [ "Uruguay_national_football_team", "current_club", "S.S._Lazio" ], [ "Uruguay_national_football_team", "current_club", "Villarreal_CF" ], [ "Valencia_CF", "colors", "White" ], [ "William_Sanderson", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "William_Sanderson", "award_nominee", "Anna_Gunn" ], [ "William_Sanderson", "award_nominee", "Anna_Paquin" ], [ "William_Sanderson", "award_nominee", "Ian_McShane" ], [ "William_Sanderson", "award_nominee", "Jeffrey_Jones" ], [ "William_Sanderson", "award_nominee", "Jim_Beaver" ], [ "William_Sanderson", "award_nominee", "John_Hawkes" ], [ "William_Sanderson", "award_nominee", "Mehcad_Brooks" ], [ "William_Sanderson", "award_nominee", "Molly_Parker" ], [ "William_Sanderson", "award_nominee", "Powers_Boothe" ], [ "William_Sanderson", "award_nominee", "Timothy_Olyphant" ], [ "William_Sanderson", "award_nominee", "Titus_Welliver" ], [ "William_Sanderson", "award_winner", "Anna_Paquin" ], [ "William_Sanderson", "award_winner", "Mehcad_Brooks" ], [ "William_Sanderson", "nominated_for", "True_Blood" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 6704, 2007_NBA_draft 13835, A_Civil_Action 5947, Accountancy 5015, Alpha_Delta_Pi 7033, Around_the_World_in_80_Days 1775, Association_of_American_Universities 14052, Astronomy 14128, Atonement 1897, Bachelor_of_Laws 379, Biochemistry 2361, Brenda_Blethyn 556, Bristol 7078, British_Independent_Film_Award_for_Best_Actress 10748, Business_Administration 12425, Chancellor 10961, Chemistry 386, Christine_Langan 5064, Connecticut 13599, Courtney_Love 7293, Criminology 9496, David_Rasche 8538, Derek_Jacobi 4693, Dialogue_Editor 4739, Doctor_of_Medicine 11088, Emily_Watson 8797, Emma_Thompson 9145, English_Literature 12883, English_Studies 5930, Eric_Fellner 10901, Eric_Idle 10848, Faye_Dunaway 7388, Film 8816, Florida_State_University 946, Gina_McKee 11338, Helen_Mirren 13473, Hugh_Bonneville 6034, In_the_Loop 8529, International_relations 4867, James_Gandolfini 1545, Joe_Pantoliano 6367, John_Cleese 2881, Juris_Doctor 10929, Keira_Knightley 12442, Law 11609, Law_degree 7996, Litchfield 11195, London_Film_Critics_Circle_Award_for_Actor_of_the_Year 2261, Marketing-GB 9560, Master_of_Laws 1563, Milwaukee_Brewers 402, Notting_Hill 4454, Olivia_Williams 3228, Peter_Capaldi 716, PhD 12536, Physics 5284, Psychology 385, Rachel_Weisz 6317, Rebecca_Hall 6051, Social_science 1719, Sociology 7447, Stephen_Fry 3357, Steve_Coogan 7381, The_Messenger:_The_Story_of_Joan_of_Arc 12042, Theatre 8912, Tilda_Swinton 13337, Tim_Bevan 11746, Times_Higher_Education_World_University_Rankings 10975, Tom_Hollander 5618, Trinity_College,_Dublin 4436, University_of_Bristol 6240, University_of_Cambridge 2418, University_of_Chicago 221, University_of_Florida 6204, Working_Title_Films 819, Yale_University 3752, Zoology src, edge_attr, dst 6704, school, 8816 6704, school, 221 14128, award_winner, 5930 14128, award_winner, 10929 14128, award_winner, 13337 14128, produced_by, 5930 14128, production_companies, 6204 1897, institution, 5618 1897, institution, 4436 1897, institution, 6240 1897, major_field_of_study, 12442 2361, acted_in, 14128 2361, award, 7078 7078, award_winner, 11088 7078, award_winner, 4454 7078, disciplines_or_subjects, 7388 12425, company, 5618 12425, organization, 5618 12425, organization, 4436 12425, organization, 6240 5064, contains, 7996 5064, contains, 819 13599, participant, 3357 9496, acted_in, 6034 9496, award_nominee, 946 9496, award_nominee, 4867 9496, award_nominee, 3228 9496, award_nominee, 3357 9496, award_nominee, 10975 9496, award_winner, 946 9496, award_winner, 4867 9496, award_winner, 3228 9496, award_winner, 3357 9496, award_winner, 10975 9496, nominated_for, 6034 8538, award_nominee, 10975 8538, award_winner, 10975 4739, institution, 2418 4739, institution, 221 11088, award, 7078 11088, award_winner, 10975 8797, award, 7078 5930, nominated_for, 14128 10901, award_nominee, 6367 10848, acted_in, 7381 8816, campuses, 8816 8816, educational_institution, 8816 8816, fraternities_and_sororities, 5015 8816, major_field_of_study, 7293 8816, major_field_of_study, 2261 8816, major_field_of_study, 6051 8816, student, 10848 946, acted_in, 14128 946, acted_in, 6034 946, acted_in, 402 946, acted_in, 7381 946, award, 7078 946, award_nominee, 3357 946, award_winner, 9496 946, award_winner, 4867 946, award_winner, 3357 11338, award, 7078 11338, award_nominee, 10975 13473, acted_in, 402 6034, award_winner, 9496 6034, award_winner, 946 6034, award_winner, 4867 6034, award_winner, 3357 6034, executive_produced_by, 386 6034, film_crew_role, 4693 4867, acted_in, 13835 4867, acted_in, 6034 4867, award_nominee, 9496 4867, award_nominee, 946 4867, award_nominee, 1545 4867, award_nominee, 3228 4867, award_nominee, 3357 4867, award_nominee, 10975 4867, award_winner, 9496 4867, award_winner, 946 4867, award_winner, 3228 4867, award_winner, 3357 4867, award_winner, 10975 1545, award_nominee, 4867 1545, location, 5064 6367, acted_in, 7033 6367, award_nominee, 10901 2881, institution, 2418 2881, institution, 221 2881, major_field_of_study, 12442 10929, acted_in, 14128 10929, award, 7078 10929, nominated_for, 14128 12442, films, 13835 11609, institution, 8816 11609, institution, 5618 11609, institution, 4436 11609, institution, 6240 11609, institution, 2418 11609, institution, 221 11609, major_field_of_study, 12442 11609, student, 6367 7996, place, 7996 11195, nominated_for, 6034 9560, institution, 6240 9560, institution, 2418 9560, major_field_of_study, 12442 1563, school, 8816 1563, school, 221 402, executive_produced_by, 5930 402, executive_produced_by, 13337 402, film_crew_role, 4693 402, production_companies, 6204 4454, award, 7078 3228, award, 11195 3228, award_nominee, 9496 3228, award_nominee, 946 3228, award_nominee, 4867 3228, award_nominee, 3357 3228, award_winner, 4867 3228, award_winner, 3357 3228, award_winner, 10975 3228, nominated_for, 6034 716, institution, 6240 716, institution, 2418 716, institution, 221 716, major_field_of_study, 12442 385, award, 7078 6317, award, 7078 7447, award_nominee, 10975 7447, award_winner, 10975 3357, acted_in, 7033 3357, acted_in, 6034 3357, award_nominee, 9496 3357, award_nominee, 4867 3357, award_nominee, 10975 3357, award_winner, 9496 3357, award_winner, 946 3357, award_winner, 4867 3357, award_winner, 3228 3357, award_winner, 10975 3357, nominated_for, 6034 3357, participant, 13599 8912, award, 7078 13337, nominated_for, 14128 10975, acted_in, 6034 10975, award_nominee, 9496 10975, award_nominee, 8538 10975, award_nominee, 11088 10975, award_nominee, 946 10975, award_nominee, 11338 10975, award_nominee, 4867 10975, award_nominee, 3228 10975, award_winner, 9496 10975, award_winner, 8538 10975, award_winner, 11088 10975, award_winner, 11338 10975, award_winner, 4867 10975, award_winner, 7447 10975, place_of_birth, 556 5618, campuses, 5618 5618, educational_institution, 5618 5618, list, 11746 5618, major_field_of_study, 379 5618, major_field_of_study, 9145 5618, student, 13599 4436, campuses, 4436 4436, citytown, 556 4436, educational_institution, 4436 4436, list, 11746 4436, major_field_of_study, 5947 4436, major_field_of_study, 7388 4436, major_field_of_study, 12442 4436, major_field_of_study, 12042 4436, major_field_of_study, 3752 4436, student, 11088 6240, educational_institution, 6240 6240, list, 11746 6240, major_field_of_study, 14052 6240, major_field_of_study, 379 6240, major_field_of_study, 10961 6240, major_field_of_study, 7293 6240, major_field_of_study, 9145 6240, major_field_of_study, 8529 6240, major_field_of_study, 12442 6240, major_field_of_study, 12536 6240, major_field_of_study, 1719 6240, student, 386 6240, student, 8538 6240, student, 8797 6240, student, 10901 6240, student, 13473 6240, student, 6367 6240, student, 4454 6240, student, 385 6240, student, 6317 6240, student, 7447 6240, student, 8912 6240, student, 10975 2418, campuses, 2418 2418, educational_institution, 2418 2418, list, 11746 2418, major_field_of_study, 14052 2418, major_field_of_study, 379 2418, major_field_of_study, 10748 2418, major_field_of_study, 10961 2418, major_field_of_study, 9145 2418, major_field_of_study, 12883 2418, major_field_of_study, 8529 2418, major_field_of_study, 2261 2418, major_field_of_study, 12536 2418, major_field_of_study, 5284 2418, major_field_of_study, 6051 2418, major_field_of_study, 1719 2418, major_field_of_study, 3752 2418, organization, 1775 2418, student, 9496 221, fraternities_and_sororities, 5015 221, major_field_of_study, 5947 221, major_field_of_study, 10748 221, major_field_of_study, 10961 221, major_field_of_study, 9145 221, major_field_of_study, 12883 221, major_field_of_study, 12536 221, major_field_of_study, 5284 221, major_field_of_study, 12042 221, organization, 1775 221, student, 10848 819, major_field_of_study, 12442 819, state_province_region, 5064 Question: How are Gina_McKee, Law_degree, and Litchfield related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Gina_McKee", "Law_degree", "Litchfield" ], "valid_edges": [ [ "2007_NBA_draft", "school", "Florida_State_University" ], [ "2007_NBA_draft", "school", "University_of_Florida" ], [ "Atonement", "award_winner", "Eric_Fellner" ], [ "Atonement", "award_winner", "Keira_Knightley" ], [ "Atonement", "award_winner", "Tim_Bevan" ], [ "Atonement", "produced_by", "Eric_Fellner" ], [ "Atonement", "production_companies", "Working_Title_Films" ], [ "Bachelor_of_Laws", "institution", "Trinity_College,_Dublin" ], [ "Bachelor_of_Laws", "institution", "University_of_Bristol" ], [ "Bachelor_of_Laws", "institution", "University_of_Cambridge" ], [ "Bachelor_of_Laws", "major_field_of_study", "Law" ], [ "Brenda_Blethyn", "acted_in", "Atonement" ], [ "Brenda_Blethyn", "award", "British_Independent_Film_Award_for_Best_Actress" ], [ "British_Independent_Film_Award_for_Best_Actress", "award_winner", "Emily_Watson" ], [ "British_Independent_Film_Award_for_Best_Actress", "award_winner", "Olivia_Williams" ], [ "British_Independent_Film_Award_for_Best_Actress", "disciplines_or_subjects", "Film" ], [ "Chancellor", "company", "Trinity_College,_Dublin" ], [ "Chancellor", "organization", "Trinity_College,_Dublin" ], [ "Chancellor", "organization", "University_of_Bristol" ], [ "Chancellor", "organization", "University_of_Cambridge" ], [ "Connecticut", "contains", "Litchfield" ], [ "Connecticut", "contains", "Yale_University" ], [ "Courtney_Love", "participant", "Steve_Coogan" ], [ "David_Rasche", "acted_in", "In_the_Loop" ], [ "David_Rasche", "award_nominee", "Gina_McKee" ], [ "David_Rasche", "award_nominee", "James_Gandolfini" ], [ "David_Rasche", "award_nominee", "Peter_Capaldi" ], [ "David_Rasche", "award_nominee", "Steve_Coogan" ], [ "David_Rasche", "award_nominee", "Tom_Hollander" ], [ "David_Rasche", "award_winner", "Gina_McKee" ], [ "David_Rasche", "award_winner", "James_Gandolfini" ], [ "David_Rasche", "award_winner", "Peter_Capaldi" ], [ "David_Rasche", "award_winner", "Steve_Coogan" ], [ "David_Rasche", "award_winner", "Tom_Hollander" ], [ "David_Rasche", "nominated_for", "In_the_Loop" ], [ "Derek_Jacobi", "award_nominee", "Tom_Hollander" ], [ "Derek_Jacobi", "award_winner", "Tom_Hollander" ], [ "Doctor_of_Medicine", "institution", "University_of_Chicago" ], [ "Doctor_of_Medicine", "institution", "University_of_Florida" ], [ "Emily_Watson", "award", "British_Independent_Film_Award_for_Best_Actress" ], [ "Emily_Watson", "award_winner", "Tom_Hollander" ], [ "Emma_Thompson", "award", "British_Independent_Film_Award_for_Best_Actress" ], [ "Eric_Fellner", "nominated_for", "Atonement" ], [ "Eric_Idle", "award_nominee", "John_Cleese" ], [ "Faye_Dunaway", "acted_in", "The_Messenger:_The_Story_of_Joan_of_Arc" ], [ "Florida_State_University", "campuses", "Florida_State_University" ], [ "Florida_State_University", "educational_institution", "Florida_State_University" ], [ "Florida_State_University", "fraternities_and_sororities", "Alpha_Delta_Pi" ], [ "Florida_State_University", "major_field_of_study", "Criminology" ], [ "Florida_State_University", "major_field_of_study", "Marketing-GB" ], [ "Florida_State_University", "major_field_of_study", "Social_science" ], [ "Florida_State_University", "student", "Faye_Dunaway" ], [ "Gina_McKee", "acted_in", "Atonement" ], [ "Gina_McKee", "acted_in", "In_the_Loop" ], [ "Gina_McKee", "acted_in", "Notting_Hill" ], [ "Gina_McKee", "acted_in", "The_Messenger:_The_Story_of_Joan_of_Arc" ], [ "Gina_McKee", "award", "British_Independent_Film_Award_for_Best_Actress" ], [ "Gina_McKee", "award_nominee", "Steve_Coogan" ], [ "Gina_McKee", "award_winner", "David_Rasche" ], [ "Gina_McKee", "award_winner", "James_Gandolfini" ], [ "Gina_McKee", "award_winner", "Steve_Coogan" ], [ "Helen_Mirren", "award", "British_Independent_Film_Award_for_Best_Actress" ], [ "Helen_Mirren", "award_nominee", "Tom_Hollander" ], [ "Hugh_Bonneville", "acted_in", "Notting_Hill" ], [ "In_the_Loop", "award_winner", "David_Rasche" ], [ "In_the_Loop", "award_winner", "Gina_McKee" ], [ "In_the_Loop", "award_winner", "James_Gandolfini" ], [ "In_the_Loop", "award_winner", "Steve_Coogan" ], [ "In_the_Loop", "executive_produced_by", "Christine_Langan" ], [ "In_the_Loop", "film_crew_role", "Dialogue_Editor" ], [ "James_Gandolfini", "acted_in", "A_Civil_Action" ], [ "James_Gandolfini", "acted_in", "In_the_Loop" ], [ "James_Gandolfini", "award_nominee", "David_Rasche" ], [ "James_Gandolfini", "award_nominee", "Gina_McKee" ], [ "James_Gandolfini", "award_nominee", "Joe_Pantoliano" ], [ "James_Gandolfini", "award_nominee", "Peter_Capaldi" ], [ "James_Gandolfini", "award_nominee", "Steve_Coogan" ], [ "James_Gandolfini", "award_nominee", "Tom_Hollander" ], [ "James_Gandolfini", "award_winner", "David_Rasche" ], [ "James_Gandolfini", "award_winner", "Gina_McKee" ], [ "James_Gandolfini", "award_winner", "Peter_Capaldi" ], [ "James_Gandolfini", "award_winner", "Steve_Coogan" ], [ "James_Gandolfini", "award_winner", "Tom_Hollander" ], [ "Joe_Pantoliano", "award_nominee", "James_Gandolfini" ], [ "Joe_Pantoliano", "location", "Connecticut" ], [ "John_Cleese", "acted_in", "Around_the_World_in_80_Days" ], [ "John_Cleese", "award_nominee", "Eric_Idle" ], [ "Juris_Doctor", "institution", "University_of_Chicago" ], [ "Juris_Doctor", "institution", "University_of_Florida" ], [ "Juris_Doctor", "major_field_of_study", "Law" ], [ "Keira_Knightley", "acted_in", "Atonement" ], [ "Keira_Knightley", "award", "British_Independent_Film_Award_for_Best_Actress" ], [ "Keira_Knightley", "nominated_for", "Atonement" ], [ "Law", "films", "A_Civil_Action" ], [ "Law_degree", "institution", "Florida_State_University" ], [ "Law_degree", "institution", "Trinity_College,_Dublin" ], [ "Law_degree", "institution", "University_of_Bristol" ], [ "Law_degree", "institution", "University_of_Cambridge" ], [ "Law_degree", "institution", "University_of_Chicago" ], [ "Law_degree", "institution", "University_of_Florida" ], [ "Law_degree", "major_field_of_study", "Law" ], [ "Law_degree", "student", "John_Cleese" ], [ "Litchfield", "place", "Litchfield" ], [ "London_Film_Critics_Circle_Award_for_Actor_of_the_Year", "nominated_for", "In_the_Loop" ], [ "Master_of_Laws", "institution", "University_of_Cambridge" ], [ "Master_of_Laws", "institution", "University_of_Chicago" ], [ "Master_of_Laws", "major_field_of_study", "Law" ], [ "Milwaukee_Brewers", "school", "Florida_State_University" ], [ "Milwaukee_Brewers", "school", "University_of_Florida" ], [ "Notting_Hill", "executive_produced_by", "Eric_Fellner" ], [ "Notting_Hill", "executive_produced_by", "Tim_Bevan" ], [ "Notting_Hill", "film_crew_role", "Dialogue_Editor" ], [ "Notting_Hill", "production_companies", "Working_Title_Films" ], [ "Olivia_Williams", "award", "British_Independent_Film_Award_for_Best_Actress" ], [ "Peter_Capaldi", "award", "London_Film_Critics_Circle_Award_for_Actor_of_the_Year" ], [ "Peter_Capaldi", "award_nominee", "David_Rasche" ], [ "Peter_Capaldi", "award_nominee", "Gina_McKee" ], [ "Peter_Capaldi", "award_nominee", "James_Gandolfini" ], [ "Peter_Capaldi", "award_nominee", "Steve_Coogan" ], [ "Peter_Capaldi", "award_winner", "James_Gandolfini" ], [ "Peter_Capaldi", "award_winner", "Steve_Coogan" ], [ "Peter_Capaldi", "award_winner", "Tom_Hollander" ], [ "Peter_Capaldi", "nominated_for", "In_the_Loop" ], [ "PhD", "institution", "University_of_Cambridge" ], [ "PhD", "institution", "University_of_Chicago" ], [ "PhD", "institution", "University_of_Florida" ], [ "PhD", "major_field_of_study", "Law" ], [ "Rachel_Weisz", "award", "British_Independent_Film_Award_for_Best_Actress" ], [ "Rebecca_Hall", "award", "British_Independent_Film_Award_for_Best_Actress" ], [ "Stephen_Fry", "award_nominee", "Tom_Hollander" ], [ "Stephen_Fry", "award_winner", "Tom_Hollander" ], [ "Steve_Coogan", "acted_in", "Around_the_World_in_80_Days" ], [ "Steve_Coogan", "acted_in", "In_the_Loop" ], [ "Steve_Coogan", "award_nominee", "David_Rasche" ], [ "Steve_Coogan", "award_nominee", "James_Gandolfini" ], [ "Steve_Coogan", "award_nominee", "Tom_Hollander" ], [ "Steve_Coogan", "award_winner", "David_Rasche" ], [ "Steve_Coogan", "award_winner", "Gina_McKee" ], [ "Steve_Coogan", "award_winner", "James_Gandolfini" ], [ "Steve_Coogan", "award_winner", "Peter_Capaldi" ], [ "Steve_Coogan", "award_winner", "Tom_Hollander" ], [ "Steve_Coogan", "nominated_for", "In_the_Loop" ], [ "Steve_Coogan", "participant", "Courtney_Love" ], [ "Tilda_Swinton", "award", "British_Independent_Film_Award_for_Best_Actress" ], [ "Tim_Bevan", "nominated_for", "Atonement" ], [ "Tom_Hollander", "acted_in", "In_the_Loop" ], [ "Tom_Hollander", "award_nominee", "David_Rasche" ], [ "Tom_Hollander", "award_nominee", "Derek_Jacobi" ], [ "Tom_Hollander", "award_nominee", "Emily_Watson" ], [ "Tom_Hollander", "award_nominee", "Gina_McKee" ], [ "Tom_Hollander", "award_nominee", "Helen_Mirren" ], [ "Tom_Hollander", "award_nominee", "James_Gandolfini" ], [ "Tom_Hollander", "award_nominee", "Peter_Capaldi" ], [ "Tom_Hollander", "award_winner", "David_Rasche" ], [ "Tom_Hollander", "award_winner", "Derek_Jacobi" ], [ "Tom_Hollander", "award_winner", "Emily_Watson" ], [ "Tom_Hollander", "award_winner", "Helen_Mirren" ], [ "Tom_Hollander", "award_winner", "James_Gandolfini" ], [ "Tom_Hollander", "award_winner", "Stephen_Fry" ], [ "Tom_Hollander", "place_of_birth", "Bristol" ], [ "Trinity_College,_Dublin", "campuses", "Trinity_College,_Dublin" ], [ "Trinity_College,_Dublin", "educational_institution", "Trinity_College,_Dublin" ], [ "Trinity_College,_Dublin", "list", "Times_Higher_Education_World_University_Rankings" ], [ "Trinity_College,_Dublin", "major_field_of_study", "Biochemistry" ], [ "Trinity_College,_Dublin", "major_field_of_study", "English_Literature" ], [ "Trinity_College,_Dublin", "student", "Courtney_Love" ], [ "University_of_Bristol", "campuses", "University_of_Bristol" ], [ "University_of_Bristol", "citytown", "Bristol" ], [ "University_of_Bristol", "educational_institution", "University_of_Bristol" ], [ "University_of_Bristol", "list", "Times_Higher_Education_World_University_Rankings" ], [ "University_of_Bristol", "major_field_of_study", "Accountancy" ], [ "University_of_Bristol", "major_field_of_study", "Film" ], [ "University_of_Bristol", "major_field_of_study", "Law" ], [ "University_of_Bristol", "major_field_of_study", "Theatre" ], [ "University_of_Bristol", "major_field_of_study", "Zoology" ], [ "University_of_Bristol", "student", "Emily_Watson" ], [ "University_of_Cambridge", "educational_institution", "University_of_Cambridge" ], [ "University_of_Cambridge", "list", "Times_Higher_Education_World_University_Rankings" ], [ "University_of_Cambridge", "major_field_of_study", "Astronomy" ], [ "University_of_Cambridge", "major_field_of_study", "Biochemistry" ], [ "University_of_Cambridge", "major_field_of_study", "Chemistry" ], [ "University_of_Cambridge", "major_field_of_study", "Criminology" ], [ "University_of_Cambridge", "major_field_of_study", "English_Literature" ], [ "University_of_Cambridge", "major_field_of_study", "International_relations" ], [ "University_of_Cambridge", "major_field_of_study", "Law" ], [ "University_of_Cambridge", "major_field_of_study", "Physics" ], [ "University_of_Cambridge", "major_field_of_study", "Sociology" ], [ "University_of_Cambridge", "student", "Christine_Langan" ], [ "University_of_Cambridge", "student", "Derek_Jacobi" ], [ "University_of_Cambridge", "student", "Emma_Thompson" ], [ "University_of_Cambridge", "student", "Eric_Idle" ], [ "University_of_Cambridge", "student", "Hugh_Bonneville" ], [ "University_of_Cambridge", "student", "John_Cleese" ], [ "University_of_Cambridge", "student", "Olivia_Williams" ], [ "University_of_Cambridge", "student", "Rachel_Weisz" ], [ "University_of_Cambridge", "student", "Rebecca_Hall" ], [ "University_of_Cambridge", "student", "Stephen_Fry" ], [ "University_of_Cambridge", "student", "Tilda_Swinton" ], [ "University_of_Cambridge", "student", "Tom_Hollander" ], [ "University_of_Chicago", "campuses", "University_of_Chicago" ], [ "University_of_Chicago", "educational_institution", "University_of_Chicago" ], [ "University_of_Chicago", "list", "Times_Higher_Education_World_University_Rankings" ], [ "University_of_Chicago", "major_field_of_study", "Astronomy" ], [ "University_of_Chicago", "major_field_of_study", "Biochemistry" ], [ "University_of_Chicago", "major_field_of_study", "Business_Administration" ], [ "University_of_Chicago", "major_field_of_study", "Chemistry" ], [ "University_of_Chicago", "major_field_of_study", "English_Literature" ], [ "University_of_Chicago", "major_field_of_study", "English_Studies" ], [ "University_of_Chicago", "major_field_of_study", "International_relations" ], [ "University_of_Chicago", "major_field_of_study", "Marketing-GB" ], [ "University_of_Chicago", "major_field_of_study", "Physics" ], [ "University_of_Chicago", "major_field_of_study", "Psychology" ], [ "University_of_Chicago", "major_field_of_study", "Social_science" ], [ "University_of_Chicago", "major_field_of_study", "Sociology" ], [ "University_of_Chicago", "major_field_of_study", "Zoology" ], [ "University_of_Chicago", "organization", "Association_of_American_Universities" ], [ "University_of_Chicago", "student", "David_Rasche" ], [ "University_of_Florida", "fraternities_and_sororities", "Alpha_Delta_Pi" ], [ "University_of_Florida", "major_field_of_study", "Accountancy" ], [ "University_of_Florida", "major_field_of_study", "Business_Administration" ], [ "University_of_Florida", "major_field_of_study", "Chemistry" ], [ "University_of_Florida", "major_field_of_study", "English_Literature" ], [ "University_of_Florida", "major_field_of_study", "English_Studies" ], [ "University_of_Florida", "major_field_of_study", "Physics" ], [ "University_of_Florida", "major_field_of_study", "Psychology" ], [ "University_of_Florida", "major_field_of_study", "Theatre" ], [ "University_of_Florida", "organization", "Association_of_American_Universities" ], [ "University_of_Florida", "student", "Faye_Dunaway" ], [ "Yale_University", "major_field_of_study", "Law" ], [ "Yale_University", "state_province_region", "Connecticut" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 7037, Benjamin_Bratt 1709, Dennis_Quaid 10112, Jaws_3-D 12771, Louis_Gossett,_Jr. 8955, Lowell_High_School 14085, Mark_Johnson 5418, The_Chronicles_of_Narnia:_Prince_Caspian src, edge_attr, dst 7037, award_winner, 1709 1709, acted_in, 10112 1709, award_nominee, 7037 1709, award_nominee, 14085 1709, award_winner, 7037 12771, acted_in, 10112 12771, nominated_for, 10112 8955, student, 7037 14085, award_nominee, 1709 14085, award_winner, 1709 5418, produced_by, 14085 Question: How are Louis_Gossett,_Jr., Lowell_High_School, and The_Chronicles_of_Narnia:_Prince_Caspian related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Louis_Gossett,_Jr.", "Lowell_High_School", "The_Chronicles_of_Narnia:_Prince_Caspian" ], "valid_edges": [ [ "Benjamin_Bratt", "award_winner", "Dennis_Quaid" ], [ "Dennis_Quaid", "acted_in", "Jaws_3-D" ], [ "Dennis_Quaid", "award_nominee", "Benjamin_Bratt" ], [ "Dennis_Quaid", "award_nominee", "Mark_Johnson" ], [ "Dennis_Quaid", "award_winner", "Benjamin_Bratt" ], [ "Louis_Gossett,_Jr.", "acted_in", "Jaws_3-D" ], [ "Louis_Gossett,_Jr.", "nominated_for", "Jaws_3-D" ], [ "Lowell_High_School", "student", "Benjamin_Bratt" ], [ "Mark_Johnson", "award_nominee", "Dennis_Quaid" ], [ "Mark_Johnson", "award_winner", "Dennis_Quaid" ], [ "The_Chronicles_of_Narnia:_Prince_Caspian", "produced_by", "Mark_Johnson" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 926, 2012 7226, A_Better_Tomorrow 4594, A_Simple_Life 3086, Afghanistan 3644, Algeria 5336, Angola 4390, Asia 12421, Avid_Technology 6077, Batman_Begins 1128, Bolivia 7352, Botswana 8957, Buddhism 5650, Burundi 6199, China 5379, Christianity 1796, Colombia 7411, Crouching_Tiger,_Hidden_Dragon 11628, Cycling 4236, Detective_Dee:_Mystery_of_the_Phantom_Flame 7664, Djibouti 11011, Earth 5432, Egypt 7976, El_Salvador 1001, Ford_Motor_Company 14054, General_Motors 9795, George_H._W._Bush 12266, Gerald_Ford 2287, Ghana 12814, Harry_S._Truman 3809, House_of_Flying_Daggers 1216, House_of_Romanov 8134, Indiana 6330, Indonesia 1300, Infernal_Affairs_II 13513, Infernal_Affairs_III 1146, Intel_Corporation 9475, John_Adams 9845, Laos 614, Library_of_Congress_Classification 9137, Lust,_Caution 2066, Lyndon_B._Johnson 4125, Macau 4150, Malawi 13277, Malaysia 13746, Mao's_Last_Dancer 332, Marriott_International 12675, Michigan 8271, Mozambique 3832, Myanmar 2233, Nepal 8723, New_Zealand 8020, Nicaragua 2322, Nigeria 8195, North_Korea 590, Ohio 4866, Ontario 12782, Pakistan 1498, Paraguay 13007, Philippines 2244, Protestantism 4331, Red_Cliff 368, Richard_Nixon 11798, Russia 6173, Shanghai 4413, Shooting_sport 4989, Sierra_Leone 486, Soviet_Union 2824, Standard_Mandarin 4601, Sudan 6711, Taiwan 31, Tanzania 2893, The_Flowers_of_War 7952, The_Last_Emperor 7221, The_Painted_Veil 10214, Theodore_Roosevelt 1032, Thomas_Jefferson 9470, Tibet 9349, Track_and_field_athletics 41, Venezuela 2838, Vice_President-GB 14230, Vietnam 5803, Vietnam_War 3151, Wisconsin 6408, Zimbabwe src, edge_attr, dst 926, film_release_region, 6199 926, language, 2824 7226, film_country, 6199 7226, language, 2824 4594, film_country, 6199 4594, film_release_region, 6199 4594, language, 2824 3086, adjoins, 6199 3086, taxonomy, 614 3644, taxonomy, 614 5336, exported_to, 6199 5336, taxonomy, 614 4390, contains, 6199 4390, taxonomy, 614 12421, service_location, 6199 6077, film_release_region, 6199 6077, language, 2824 1128, taxonomy, 614 7352, taxonomy, 614 8957, taxonomy, 614 5650, taxonomy, 614 6199, adjoins, 3086 6199, adjoins, 9845 6199, adjoins, 3832 6199, adjoins, 2233 6199, adjoins, 8195 6199, adjoins, 12782 6199, adjoins, 11798 6199, adjoins, 14230 6199, administrative_parent, 11011 6199, contains, 4125 6199, contains, 6173 6199, exported_to, 3644 6199, exported_to, 5336 6199, exported_to, 7664 6199, exported_to, 9845 6199, exported_to, 2233 6199, exported_to, 8723 6199, exported_to, 4989 6199, exported_to, 4601 6199, exported_to, 31 6199, films, 13746 6199, official_language, 2824 6199, split_to, 6173 6199, taxonomy, 614 6199, titles, 7411 6199, titles, 4236 6199, titles, 3809 6199, titles, 9137 6199, titles, 4331 6199, titles, 7952 5379, taxonomy, 614 1796, taxonomy, 614 7411, film_country, 6199 7411, language, 2824 11628, country, 6199 11628, taxonomy, 614 4236, film_country, 6199 4236, film_release_region, 6199 4236, language, 2824 7664, taxonomy, 614 11011, taxonomy, 614 5432, taxonomy, 614 7976, taxonomy, 614 1001, state_province_region, 12675 14054, state_province_region, 12675 9795, basic_title, 2838 9795, taxonomy, 614 12266, basic_title, 2838 12266, taxonomy, 614 2287, taxonomy, 614 12814, basic_title, 2838 12814, taxonomy, 614 3809, film_country, 6199 3809, film_release_region, 6199 3809, language, 2824 1216, taxonomy, 614 8134, taxonomy, 614 6330, taxonomy, 614 1300, film_country, 6199 1300, language, 2824 13513, film_country, 6199 13513, language, 2824 1146, service_location, 6199 9475, basic_title, 2838 9475, taxonomy, 614 9845, taxonomy, 614 9137, film_country, 6199 2066, basic_title, 2838 2066, taxonomy, 614 4125, administrative_parent, 6199 4125, country, 6199 4150, taxonomy, 614 13277, taxonomy, 614 13746, language, 2824 332, service_location, 6199 12675, adjoins, 8134 12675, adjoins, 3151 12675, religion, 8957 12675, religion, 5379 12675, religion, 2244 12675, taxonomy, 614 8271, exported_to, 6199 8271, taxonomy, 614 3832, adjoins, 6199 3832, taxonomy, 614 2233, adjoins, 6199 2233, taxonomy, 614 8723, taxonomy, 614 8020, taxonomy, 614 2322, taxonomy, 614 8195, adjoins, 6199 8195, combatants, 6199 8195, taxonomy, 614 590, adjoins, 12675 590, taxonomy, 614 4866, adjoins, 12675 4866, taxonomy, 614 12782, adjoins, 6199 12782, taxonomy, 614 1498, taxonomy, 614 13007, taxonomy, 614 2244, taxonomy, 614 4331, film_release_region, 6199 4331, language, 2824 368, basic_title, 2838 368, taxonomy, 614 11798, adjoins, 6199 11798, taxonomy, 614 6173, administrative_parent, 6199 6173, country, 6199 6173, film_country, 6199 6173, film_release_region, 6199 6173, language, 2824 4413, country, 6199 4413, taxonomy, 614 4989, taxonomy, 614 486, combatants, 6199 486, taxonomy, 614 2824, countries_spoken_in, 4125 2824, countries_spoken_in, 13277 2824, countries_spoken_in, 8723 2824, titles, 7411 2824, titles, 3809 2824, titles, 9137 2824, titles, 4331 4601, exported_to, 6199 4601, taxonomy, 614 6711, adjoins, 6199 6711, official_language, 2824 31, taxonomy, 614 2893, film_country, 6199 2893, film_release_region, 6199 2893, language, 2824 7952, film_country, 6199 7952, language, 2824 7221, film_country, 6199 7221, language, 2824 10214, basic_title, 2838 10214, taxonomy, 614 1032, basic_title, 2838 1032, taxonomy, 614 9470, country, 6199 9470, taxonomy, 614 9349, country, 6199 9349, taxonomy, 614 41, taxonomy, 614 2838, company, 12421 2838, company, 1001 2838, company, 14054 2838, company, 1146 2838, company, 332 2838, jurisdiction_of_office, 3086 2838, jurisdiction_of_office, 5336 2838, jurisdiction_of_office, 1128 2838, jurisdiction_of_office, 7352 2838, jurisdiction_of_office, 5650 2838, jurisdiction_of_office, 6199 2838, jurisdiction_of_office, 1796 2838, jurisdiction_of_office, 5432 2838, jurisdiction_of_office, 7976 2838, jurisdiction_of_office, 2287 2838, jurisdiction_of_office, 6330 2838, jurisdiction_of_office, 9845 2838, jurisdiction_of_office, 4150 2838, jurisdiction_of_office, 8020 2838, jurisdiction_of_office, 2322 2838, jurisdiction_of_office, 1498 2838, jurisdiction_of_office, 13007 2838, jurisdiction_of_office, 4601 2838, jurisdiction_of_office, 31 2838, jurisdiction_of_office, 41 2838, jurisdiction_of_office, 6408 14230, adjoins, 6199 14230, taxonomy, 614 5803, combatants, 6199 5803, entity_involved, 6199 5803, taxonomy, 614 3151, taxonomy, 614 6408, taxonomy, 614 Question: In what context are General_Motors, House_of_Romanov, and Mao's_Last_Dancer connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "General_Motors", "House_of_Romanov", "Mao's_Last_Dancer" ], "valid_edges": [ [ "2012", "film_release_region", "China" ], [ "2012", "language", "Standard_Mandarin" ], [ "A_Better_Tomorrow", "film_country", "China" ], [ "A_Better_Tomorrow", "language", "Standard_Mandarin" ], [ "A_Simple_Life", "film_country", "China" ], [ "A_Simple_Life", "film_release_region", "China" ], [ "A_Simple_Life", "language", "Standard_Mandarin" ], [ "Afghanistan", "adjoins", "China" ], [ "Afghanistan", "taxonomy", "Library_of_Congress_Classification" ], [ "Algeria", "taxonomy", "Library_of_Congress_Classification" ], [ "Angola", "exported_to", "China" ], [ "Angola", "taxonomy", "Library_of_Congress_Classification" ], [ "Asia", "contains", "China" ], [ "Asia", "taxonomy", "Library_of_Congress_Classification" ], [ "Avid_Technology", "service_location", "China" ], [ "Batman_Begins", "film_release_region", "China" ], [ "Batman_Begins", "language", "Standard_Mandarin" ], [ "Bolivia", "taxonomy", "Library_of_Congress_Classification" ], [ "Botswana", "taxonomy", "Library_of_Congress_Classification" ], [ "Buddhism", "taxonomy", "Library_of_Congress_Classification" ], [ "Burundi", "taxonomy", "Library_of_Congress_Classification" ], [ "China", "adjoins", "Afghanistan" ], [ "China", "adjoins", "Laos" ], [ "China", "adjoins", "Myanmar" ], [ "China", "adjoins", "Nepal" ], [ "China", "adjoins", "North_Korea" ], [ "China", "adjoins", "Pakistan" ], [ "China", "adjoins", "Russia" ], [ "China", "adjoins", "Vietnam" ], [ "China", "administrative_parent", "Earth" ], [ "China", "contains", "Macau" ], [ "China", "contains", "Shanghai" ], [ "China", "exported_to", "Algeria" ], [ "China", "exported_to", "Angola" ], [ "China", "exported_to", "Djibouti" ], [ "China", "exported_to", "Laos" ], [ "China", "exported_to", "Nepal" ], [ "China", "exported_to", "New_Zealand" ], [ "China", "exported_to", "Sierra_Leone" ], [ "China", "exported_to", "Sudan" ], [ "China", "exported_to", "Tanzania" ], [ "China", "films", "Mao's_Last_Dancer" ], [ "China", "official_language", "Standard_Mandarin" ], [ "China", "split_to", "Shanghai" ], [ "China", "taxonomy", "Library_of_Congress_Classification" ], [ "China", "titles", "Crouching_Tiger,_Hidden_Dragon" ], [ "China", "titles", "Detective_Dee:_Mystery_of_the_Phantom_Flame" ], [ "China", "titles", "House_of_Flying_Daggers" ], [ "China", "titles", "Lust,_Caution" ], [ "China", "titles", "Red_Cliff" ], [ "China", "titles", "The_Last_Emperor" ], [ "Christianity", "taxonomy", "Library_of_Congress_Classification" ], [ "Colombia", "taxonomy", "Library_of_Congress_Classification" ], [ "Crouching_Tiger,_Hidden_Dragon", "film_country", "China" ], [ "Crouching_Tiger,_Hidden_Dragon", "language", "Standard_Mandarin" ], [ "Cycling", "country", "China" ], [ "Cycling", "taxonomy", "Library_of_Congress_Classification" ], [ "Detective_Dee:_Mystery_of_the_Phantom_Flame", "film_country", "China" ], [ "Detective_Dee:_Mystery_of_the_Phantom_Flame", "film_release_region", "China" ], [ "Detective_Dee:_Mystery_of_the_Phantom_Flame", "language", "Standard_Mandarin" ], [ "Djibouti", "taxonomy", "Library_of_Congress_Classification" ], [ "Earth", "taxonomy", "Library_of_Congress_Classification" ], [ "Egypt", "taxonomy", "Library_of_Congress_Classification" ], [ "El_Salvador", "taxonomy", "Library_of_Congress_Classification" ], [ "Ford_Motor_Company", "state_province_region", "Michigan" ], [ "General_Motors", "state_province_region", "Michigan" ], [ "George_H._W._Bush", "basic_title", "Vice_President-GB" ], [ "George_H._W._Bush", "taxonomy", "Library_of_Congress_Classification" ], [ "Gerald_Ford", "basic_title", "Vice_President-GB" ], [ "Gerald_Ford", "taxonomy", "Library_of_Congress_Classification" ], [ "Ghana", "taxonomy", "Library_of_Congress_Classification" ], [ "Harry_S._Truman", "basic_title", "Vice_President-GB" ], [ "Harry_S._Truman", "taxonomy", "Library_of_Congress_Classification" ], [ "House_of_Flying_Daggers", "film_country", "China" ], [ "House_of_Flying_Daggers", "film_release_region", "China" ], [ "House_of_Flying_Daggers", "language", "Standard_Mandarin" ], [ "House_of_Romanov", "taxonomy", "Library_of_Congress_Classification" ], [ "Indiana", "taxonomy", "Library_of_Congress_Classification" ], [ "Indonesia", "taxonomy", "Library_of_Congress_Classification" ], [ "Infernal_Affairs_II", "film_country", "China" ], [ "Infernal_Affairs_II", "language", "Standard_Mandarin" ], [ "Infernal_Affairs_III", "film_country", "China" ], [ "Infernal_Affairs_III", "language", "Standard_Mandarin" ], [ "Intel_Corporation", "service_location", "China" ], [ "John_Adams", "basic_title", "Vice_President-GB" ], [ "John_Adams", "taxonomy", "Library_of_Congress_Classification" ], [ "Laos", "taxonomy", "Library_of_Congress_Classification" ], [ "Lust,_Caution", "film_country", "China" ], [ "Lyndon_B._Johnson", "basic_title", "Vice_President-GB" ], [ "Lyndon_B._Johnson", "taxonomy", "Library_of_Congress_Classification" ], [ "Macau", "administrative_parent", "China" ], [ "Macau", "country", "China" ], [ "Malawi", "taxonomy", "Library_of_Congress_Classification" ], [ "Malaysia", "taxonomy", "Library_of_Congress_Classification" ], [ "Mao's_Last_Dancer", "language", "Standard_Mandarin" ], [ "Marriott_International", "service_location", "China" ], [ "Michigan", "adjoins", "Indiana" ], [ "Michigan", "adjoins", "Wisconsin" ], [ "Michigan", "religion", "Buddhism" ], [ "Michigan", "religion", "Christianity" ], [ "Michigan", "religion", "Protestantism" ], [ "Michigan", "taxonomy", "Library_of_Congress_Classification" ], [ "Mozambique", "exported_to", "China" ], [ "Mozambique", "taxonomy", "Library_of_Congress_Classification" ], [ "Myanmar", "adjoins", "China" ], [ "Myanmar", "taxonomy", "Library_of_Congress_Classification" ], [ "Nepal", "adjoins", "China" ], [ "Nepal", "taxonomy", "Library_of_Congress_Classification" ], [ "New_Zealand", "taxonomy", "Library_of_Congress_Classification" ], [ "Nicaragua", "taxonomy", "Library_of_Congress_Classification" ], [ "Nigeria", "taxonomy", "Library_of_Congress_Classification" ], [ "North_Korea", "adjoins", "China" ], [ "North_Korea", "combatants", "China" ], [ "North_Korea", "taxonomy", "Library_of_Congress_Classification" ], [ "Ohio", "adjoins", "Michigan" ], [ "Ohio", "taxonomy", "Library_of_Congress_Classification" ], [ "Ontario", "adjoins", "Michigan" ], [ "Ontario", "taxonomy", "Library_of_Congress_Classification" ], [ "Pakistan", "adjoins", "China" ], [ "Pakistan", "taxonomy", "Library_of_Congress_Classification" ], [ "Paraguay", "taxonomy", "Library_of_Congress_Classification" ], [ "Philippines", "taxonomy", "Library_of_Congress_Classification" ], [ "Protestantism", "taxonomy", "Library_of_Congress_Classification" ], [ "Red_Cliff", "film_release_region", "China" ], [ "Red_Cliff", "language", "Standard_Mandarin" ], [ "Richard_Nixon", "basic_title", "Vice_President-GB" ], [ "Richard_Nixon", "taxonomy", "Library_of_Congress_Classification" ], [ "Russia", "adjoins", "China" ], [ "Russia", "taxonomy", "Library_of_Congress_Classification" ], [ "Shanghai", "administrative_parent", "China" ], [ "Shanghai", "country", "China" ], [ "Shanghai", "film_country", "China" ], [ "Shanghai", "film_release_region", "China" ], [ "Shanghai", "language", "Standard_Mandarin" ], [ "Shooting_sport", "country", "China" ], [ "Shooting_sport", "taxonomy", "Library_of_Congress_Classification" ], [ "Sierra_Leone", "taxonomy", "Library_of_Congress_Classification" ], [ "Soviet_Union", "combatants", "China" ], [ "Soviet_Union", "taxonomy", "Library_of_Congress_Classification" ], [ "Standard_Mandarin", "countries_spoken_in", "Macau" ], [ "Standard_Mandarin", "countries_spoken_in", "Malaysia" ], [ "Standard_Mandarin", "countries_spoken_in", "New_Zealand" ], [ "Standard_Mandarin", "titles", "Crouching_Tiger,_Hidden_Dragon" ], [ "Standard_Mandarin", "titles", "House_of_Flying_Daggers" ], [ "Standard_Mandarin", "titles", "Lust,_Caution" ], [ "Standard_Mandarin", "titles", "Red_Cliff" ], [ "Sudan", "exported_to", "China" ], [ "Sudan", "taxonomy", "Library_of_Congress_Classification" ], [ "Taiwan", "adjoins", "China" ], [ "Taiwan", "official_language", "Standard_Mandarin" ], [ "Tanzania", "taxonomy", "Library_of_Congress_Classification" ], [ "The_Flowers_of_War", "film_country", "China" ], [ "The_Flowers_of_War", "film_release_region", "China" ], [ "The_Flowers_of_War", "language", "Standard_Mandarin" ], [ "The_Last_Emperor", "film_country", "China" ], [ "The_Last_Emperor", "language", "Standard_Mandarin" ], [ "The_Painted_Veil", "film_country", "China" ], [ "The_Painted_Veil", "language", "Standard_Mandarin" ], [ "Theodore_Roosevelt", "basic_title", "Vice_President-GB" ], [ "Theodore_Roosevelt", "taxonomy", "Library_of_Congress_Classification" ], [ "Thomas_Jefferson", "basic_title", "Vice_President-GB" ], [ "Thomas_Jefferson", "taxonomy", "Library_of_Congress_Classification" ], [ "Tibet", "country", "China" ], [ "Tibet", "taxonomy", "Library_of_Congress_Classification" ], [ "Track_and_field_athletics", "country", "China" ], [ "Track_and_field_athletics", "taxonomy", "Library_of_Congress_Classification" ], [ "Venezuela", "taxonomy", "Library_of_Congress_Classification" ], [ "Vice_President-GB", "company", "Avid_Technology" ], [ "Vice_President-GB", "company", "Ford_Motor_Company" ], [ "Vice_President-GB", "company", "General_Motors" ], [ "Vice_President-GB", "company", "Intel_Corporation" ], [ "Vice_President-GB", "company", "Marriott_International" ], [ "Vice_President-GB", "jurisdiction_of_office", "Afghanistan" ], [ "Vice_President-GB", "jurisdiction_of_office", "Angola" ], [ "Vice_President-GB", "jurisdiction_of_office", "Bolivia" ], [ "Vice_President-GB", "jurisdiction_of_office", "Botswana" ], [ "Vice_President-GB", "jurisdiction_of_office", "Burundi" ], [ "Vice_President-GB", "jurisdiction_of_office", "China" ], [ "Vice_President-GB", "jurisdiction_of_office", "Colombia" ], [ "Vice_President-GB", "jurisdiction_of_office", "Egypt" ], [ "Vice_President-GB", "jurisdiction_of_office", "El_Salvador" ], [ "Vice_President-GB", "jurisdiction_of_office", "Ghana" ], [ "Vice_President-GB", "jurisdiction_of_office", "Indonesia" ], [ "Vice_President-GB", "jurisdiction_of_office", "Laos" ], [ "Vice_President-GB", "jurisdiction_of_office", "Malawi" ], [ "Vice_President-GB", "jurisdiction_of_office", "Nicaragua" ], [ "Vice_President-GB", "jurisdiction_of_office", "Nigeria" ], [ "Vice_President-GB", "jurisdiction_of_office", "Paraguay" ], [ "Vice_President-GB", "jurisdiction_of_office", "Philippines" ], [ "Vice_President-GB", "jurisdiction_of_office", "Sudan" ], [ "Vice_President-GB", "jurisdiction_of_office", "Tanzania" ], [ "Vice_President-GB", "jurisdiction_of_office", "Venezuela" ], [ "Vice_President-GB", "jurisdiction_of_office", "Zimbabwe" ], [ "Vietnam", "adjoins", "China" ], [ "Vietnam", "taxonomy", "Library_of_Congress_Classification" ], [ "Vietnam_War", "combatants", "China" ], [ "Vietnam_War", "entity_involved", "China" ], [ "Vietnam_War", "taxonomy", "Library_of_Congress_Classification" ], [ "Wisconsin", "taxonomy", "Library_of_Congress_Classification" ], [ "Zimbabwe", "taxonomy", "Library_of_Congress_Classification" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 13589, Brian_Tyler 7398, Drummer-GB 3341, Jason_Schwartzman 7123, Mike_Portnoy 4974, Progressive_metal 12608, Ryan_Kavanaugh 9367, Symphonic_metal 12928, The_Fast_and_the_Furious:_Tokyo_Drift 8438, The_Taking_of_Pelham_123 src, edge_attr, dst 7398, split_to, 7398 3341, profession, 7398 7123, profession, 7398 4974, artists, 7123 9367, artists, 13589 9367, parent_genre, 4974 12928, executive_produced_by, 12608 12928, film_music, 13589 8438, executive_produced_by, 12608 Question: In what context are Jason_Schwartzman, Symphonic_metal, and The_Taking_of_Pelham_123 connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Jason_Schwartzman", "Symphonic_metal", "The_Taking_of_Pelham_123" ], "valid_edges": [ [ "Drummer-GB", "split_to", "Drummer-GB" ], [ "Jason_Schwartzman", "profession", "Drummer-GB" ], [ "Mike_Portnoy", "profession", "Drummer-GB" ], [ "Progressive_metal", "artists", "Mike_Portnoy" ], [ "Symphonic_metal", "artists", "Brian_Tyler" ], [ "Symphonic_metal", "parent_genre", "Progressive_metal" ], [ "The_Fast_and_the_Furious:_Tokyo_Drift", "executive_produced_by", "Ryan_Kavanaugh" ], [ "The_Fast_and_the_Furious:_Tokyo_Drift", "film_music", "Brian_Tyler" ], [ "The_Taking_of_Pelham_123", "executive_produced_by", "Ryan_Kavanaugh" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 4860, Aviation 6416, Catch-22 5351, J._G._Ballard 179, Joseph_Heller 5307, Richard_Benjamin 8474, Sky_Captain_and_the_World_of_Tomorrow 12210, Surrealism 13832, Visual_Effects_Art_Director 8169, William_S._Burroughs src, edge_attr, dst 4860, films, 6416 4860, films, 8474 6416, genre, 12210 6416, story_by, 179 5351, influenced_by, 179 5351, influenced_by, 12210 5351, influenced_by, 8169 5307, acted_in, 6416 8474, film_crew_role, 13832 Question: For what reason are Richard_Benjamin, Visual_Effects_Art_Director, and William_S._Burroughs associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Richard_Benjamin", "Visual_Effects_Art_Director", "William_S._Burroughs" ], "valid_edges": [ [ "Aviation", "films", "Catch-22" ], [ "Aviation", "films", "Sky_Captain_and_the_World_of_Tomorrow" ], [ "Catch-22", "genre", "Surrealism" ], [ "Catch-22", "story_by", "Joseph_Heller" ], [ "J._G._Ballard", "influenced_by", "Joseph_Heller" ], [ "J._G._Ballard", "influenced_by", "Surrealism" ], [ "J._G._Ballard", "influenced_by", "William_S._Burroughs" ], [ "Richard_Benjamin", "acted_in", "Catch-22" ], [ "Sky_Captain_and_the_World_of_Tomorrow", "film_crew_role", "Visual_Effects_Art_Director" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 5816, 42nd_Academy_Awards 583, 46th_Academy_Awards 13244, 61st_Academy_Awards 12555, 62nd_Academy_Awards 12906, 64th_Academy_Awards 7730, 69th_Academy_Awards 12498, 70th_Academy_Awards 608, Academy_Award_for_Best_Documentary_Feature 3789, Academy_Award_for_Best_Makeup_and_Hairstyling 6229, Academy_Award_for_Best_Sound_Editing 11864, Amblin_Entertainment 9644, BAFTA_Award_for_Best_Special_Visual_Effects 12517, Barry_Sonnenfeld 1999, Blockbuster 3769, Blues_Brothers_2000 655, Bob_Hoskins 8839, Broadcast_Film_Critics_Association_Award_for_Best_Supporting_Actor 9914, Buddy_film 10424, Butch_Cassidy_and_the_Sundance_Kid 7990, Chris_Rock 122, Chris_Tucker 9771, City_Slickers 10070, Comedy-drama 2103, Coming_to_America 2896, Confederation_of_African_Football 7056, Cuba_Gooding,_Jr. 12568, Dan_Aykroyd 4170, Danny_Elfman 8227, Danny_Glover 2477, David_Hyde_Pierce 522, David_Paymer 4693, Dialogue_Editor 12732, Dogma 13642, Driving_Miss_Daisy 8791, Ed_Harris 1926, Eddie_Murphy 11443, Edith_Head 5432, Egypt 4581, Hans_Zimmer 571, Henry_Bumstead 11191, I_Spy 4157, Imagine_That 7414, Indie_film 11245, James_Brown 13941, Jay_and_Silent_Bob_Strike_Back 2187, Joe_Morton 398, Joel_Silver 11619, John_Davis 10777, Josh_Brolin 12662, Ken_Ralston 13876, Kenya_national_football_team 6982, Kevin_O'Connell 2678, Lethal_Weapon_4 2583, M._Emmet_Walsh 8399, MTV_Movie_Award_for_Best_Comedic_Performance 6326, MTV_Movie_Award_for_Best_Fight 8970, MTV_Movie_Award_for_Best_Villain 1082, Martial_Arts_Film 5901, Martin_Lawrence 5526, Meet_Dave 11928, Men_in_Black 13504, Men_in_Black_3 13796, Men_in_Black_II 9101, Midnight_Cowboy 403, Mike_Tollin 7621, National_Film_Registry 13193, National_Security 1002, National_Society_of_Film_Critics_Award_for_Best_Actress 13579, Norbit 9892, Owen_Wilson 11320, Parody 14254, Paul_Newman 266, Radio 5442, Razzie_Award_for_Worst_Screenplay 6355, Richard_A._Baker 11508, Road_movie 196, Robert_Redford 7257, Rush_Hour_2 8467, Russell_Crowe 3513, S._Epatha_Merkerson 13453, Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Miniseries_or_Television_Movie 4071, Showtime 12738, Skip_Lievsay 5605, Sony_Pictures_Entertainment 13172, Space_Cowboys 2824, Standard_Mandarin 3367, Starsky_&_Hutch 10583, Stephen_Tobolowsky 11585, Stevie_Wonder 13769, Ted_Levine 3581, Terry_Crews 4109, The_Adventures_of_Pluto_Nash 6669, The_Fisher_King 2706, The_Full_Monty 14004, The_Sting 5164, Thelma_&_Louise 5476, Tommy_Lee_Jones 11297, Tony_Shalhoub 2564, TriStar_Pictures 13832, Visual_Effects_Art_Director 4814, Walt_Disney_Studios_Motion_Pictures 1340, Walter_F._Parkes 3458, Western 8883, Who_Framed_Roger_Rabbit 13659, Wild_Wild_West 11224, Will_Ferrell 5783, Will_Smith src, edge_attr, dst 5816, honored_for, 10424 5816, honored_for, 9101 583, honored_for, 14004 13244, honored_for, 8883 12555, honored_for, 13642 12906, honored_for, 9771 12906, honored_for, 6669 12906, honored_for, 5164 7730, award_winner, 7056 12498, honored_for, 11928 12498, honored_for, 2706 608, ceremony, 5816 608, ceremony, 583 608, ceremony, 13244 608, ceremony, 12555 608, ceremony, 12906 608, ceremony, 7730 608, ceremony, 12498 3789, nominated_for, 13642 3789, nominated_for, 11928 3789, nominated_for, 13579 6229, nominated_for, 13172 9644, nominated_for, 11928 9644, nominated_for, 8883 12517, acted_in, 13504 12517, acted_in, 13796 12517, film, 11928 12517, film, 13796 12517, film, 13659 12517, nominated_for, 11928 12517, nominated_for, 13659 1999, titles, 2678 1999, titles, 7257 3769, genre, 9914 3769, genre, 11508 3769, produced_by, 12568 3769, written_by, 12568 655, acted_in, 8883 655, award_nominee, 8791 655, nominated_for, 8883 8839, award_winner, 7056 8839, award_winner, 8791 8839, award_winner, 1926 10424, costume_design_by, 11443 10424, genre, 9914 10424, genre, 3458 10424, list, 7621 7990, acted_in, 13941 7990, acted_in, 2678 7990, influenced_by, 1926 7990, nominated_for, 2678 7990, participant, 1926 122, acted_in, 7257 122, influenced_by, 1926 122, nominated_for, 7257 9771, award_honor_award, 8399 9771, genre, 9914 9771, genre, 10070 9771, genre, 3458 2896, citytown, 5432 2896, team, 13876 7056, acted_in, 2103 7056, acted_in, 13579 7056, acted_in, 266 7056, award, 8839 7056, award, 13453 7056, award_nominee, 2187 7056, award_nominee, 403 7056, award_nominee, 8467 7056, award_nominee, 3513 7056, award_nominee, 13769 7056, award_winner, 8791 7056, nominated_for, 13579 7056, nominated_for, 266 12568, acted_in, 3769 12568, nominated_for, 13642 8227, acted_in, 2678 8227, nominated_for, 2678 2477, acted_in, 6669 2477, award_nominee, 8791 522, acted_in, 9771 522, award_nominee, 8791 12732, nominated_for, 13659 13642, award_honor_award, 3789 13642, film_music, 4581 13642, genre, 9914 13642, 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film, 5164 5605, nominated_for, 11928 13172, film_crew_role, 13832 13172, film_production_design_by, 571 13172, genre, 9914 13172, genre, 10070 3367, award_winner, 9892 3367, genre, 9914 3367, genre, 11320 10583, acted_in, 13193 10583, acted_in, 5164 11585, nominated_for, 13659 13769, acted_in, 13659 13769, award_nominee, 7056 3581, acted_in, 13579 3581, acted_in, 3367 4109, award_winner, 1926 4109, honored_for, 13579 6669, genre, 9914 6669, genre, 10070 6669, genre, 7414 6669, production_companies, 2564 2706, film_crew_role, 4693 2706, genre, 9914 2706, genre, 10070 2706, genre, 7414 14004, award_winner, 196 14004, film_art_direction_by, 571 14004, genre, 9914 14004, list, 7621 5164, film_music, 4581 5164, genre, 9914 5164, genre, 10070 5164, genre, 11508 5476, acted_in, 11928 5476, acted_in, 13504 5476, acted_in, 13796 5476, acted_in, 13172 11297, acted_in, 11928 11297, acted_in, 13796 2564, award_nominee, 11619 2564, award_winner, 11619 2564, film, 7257 4814, film, 13941 4814, film, 3367 4814, film, 8883 1340, award, 608 1340, nominated_for, 11928 3458, titles, 9771 3458, titles, 13659 8883, award_honor_award, 6229 8883, award_winner, 12662 8883, crewmember, 12662 8883, genre, 9914 8883, genre, 11320 8883, production_companies, 11864 13659, award_honor_award, 5442 13659, award_winner, 12517 13659, award_winner, 11585 13659, award_winner, 5783 13659, crewmember, 6982 13659, crewmember, 6355 13659, crewmember, 12738 13659, film_crew_role, 13832 13659, genre, 9914 13659, genre, 3458 13659, nominated_for, 12732 13659, produced_by, 12517 11224, acted_in, 13941 11224, acted_in, 3367 5783, acted_in, 11928 5783, acted_in, 13504 5783, acted_in, 13796 5783, nominated_for, 11928 Question: For what reason are Buddy_film, Kenya_national_football_team, and Mike_Tollin associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
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"Men_in_Black_3", "produced_by", "Walter_F._Parkes" ], [ "Men_in_Black_3", "production_companies", "Amblin_Entertainment" ], [ "Men_in_Black_II", "crewmember", "Ken_Ralston" ], [ "Men_in_Black_II", "crewmember", "Kevin_O'Connell" ], [ "Men_in_Black_II", "crewmember", "Richard_A._Baker" ], [ "Men_in_Black_II", "crewmember", "Skip_Lievsay" ], [ "Men_in_Black_II", "film_crew_role", "Visual_Effects_Art_Director" ], [ "Men_in_Black_II", "film_music", "Danny_Elfman" ], [ "Men_in_Black_II", "genre", "Buddy_film" ], [ "Men_in_Black_II", "prequel", "Men_in_Black" ], [ "Men_in_Black_II", "produced_by", "Walter_F._Parkes" ], [ "Men_in_Black_II", "production_companies", "Amblin_Entertainment" ], [ "Midnight_Cowboy", "genre", "Buddy_film" ], [ "Midnight_Cowboy", "list", "National_Film_Registry" ], [ "Mike_Tollin", "award", "Academy_Award_for_Best_Documentary_Feature" ], [ "Mike_Tollin", "award_nominee", "Cuba_Gooding,_Jr." ], [ "Mike_Tollin", "award_nominee", "Ed_Harris" ], [ "Mike_Tollin", "award_nominee", "John_Davis" ], [ "Mike_Tollin", "award_nominee", "S._Epatha_Merkerson" ], [ "Mike_Tollin", "award_winner", "Ed_Harris" ], [ "Mike_Tollin", "award_winner", "S._Epatha_Merkerson" ], [ "Mike_Tollin", "film", "Radio" ], [ "Mike_Tollin", "nominated_for", "Norbit" ], [ "National_Security", "film_release_region", "Egypt" ], [ "National_Security", "genre", "Buddy_film" ], [ "National_Society_of_Film_Critics_Award_for_Best_Actress", "nominated_for", "Driving_Miss_Daisy" ], [ "National_Society_of_Film_Critics_Award_for_Best_Actress", "nominated_for", "Thelma_&_Louise" ], [ "Norbit", "award_winner", "Eddie_Murphy" ], [ "Norbit", "executive_produced_by", "Mike_Tollin" ], [ "Norbit", "honored_for", "I_Spy" ], [ "Norbit", "honored_for", "Imagine_That" ], [ "Norbit", "honored_for", "Meet_Dave" ], [ "Norbit", "honored_for", "Showtime" ], [ "Norbit", "honored_for", "The_Adventures_of_Pluto_Nash" ], [ "Norbit", "nominated_for", "I_Spy" ], [ "Norbit", "nominated_for", "Imagine_That" ], [ "Norbit", "nominated_for", "Meet_Dave" ], [ "Norbit", "nominated_for", "Showtime" ], [ "Norbit", "nominated_for", "The_Adventures_of_Pluto_Nash" ], [ "Norbit", "produced_by", "Eddie_Murphy" ], [ "Norbit", "produced_by", "John_Davis" ], [ "Norbit", "story_by", "Eddie_Murphy" ], [ "Norbit", "written_by", "Eddie_Murphy" ], [ "Owen_Wilson", "award_nominee", "Eddie_Murphy" ], [ "Owen_Wilson", "nominated_for", "Starsky_&_Hutch" ], [ "Paul_Newman", "acted_in", "The_Sting" ], [ "Paul_Newman", "nominated_for", "Butch_Cassidy_and_the_Sundance_Kid" ], [ "Radio", "award_winner", "Mike_Tollin" ], [ "Radio", "award_winner", "S._Epatha_Merkerson" ], [ "Radio", "produced_by", "Mike_Tollin" ], [ "Razzie_Award_for_Worst_Screenplay", "nominated_for", "Norbit" ], [ "Razzie_Award_for_Worst_Screenplay", "nominated_for", "Wild_Wild_West" ], [ "Richard_A._Baker", "acted_in", "Men_in_Black_3" ], [ "Richard_A._Baker", "acted_in", "Men_in_Black_II" ], [ "Richard_A._Baker", "nominated_for", "Norbit" ], [ "Robert_Redford", "acted_in", "Butch_Cassidy_and_the_Sundance_Kid" ], [ "Robert_Redford", "nominated_for", "Butch_Cassidy_and_the_Sundance_Kid" ], [ "Rush_Hour_2", "award_honor_award", "MTV_Movie_Award_for_Best_Fight" ], [ "Rush_Hour_2", "award_winner", "Chris_Tucker" ], [ "Rush_Hour_2", "genre", "Buddy_film" ], [ "Rush_Hour_2", "genre", "Martial_Arts_Film" ], [ "Rush_Hour_2", "language", "Standard_Mandarin" ], [ "Russell_Crowe", "award_nominee", "Cuba_Gooding,_Jr." ], [ "Russell_Crowe", "award_nominee", "Ed_Harris" ], [ "S._Epatha_Merkerson", "acted_in", "Radio" ], [ "S._Epatha_Merkerson", "award_nominee", "Cuba_Gooding,_Jr." ], [ "S._Epatha_Merkerson", "award_nominee", "Mike_Tollin" ], [ "S._Epatha_Merkerson", "award_winner", "Cuba_Gooding,_Jr." ], [ "S._Epatha_Merkerson", "award_winner", "Ed_Harris" ], [ "S._Epatha_Merkerson", "nominated_for", "Radio" ], [ "Showtime", "award_winner", "Eddie_Murphy" ], [ "Showtime", "honored_for", "Norbit" ], [ "Showtime", "nominated_for", "Norbit" ], [ "Sony_Pictures_Entertainment", "film", "Thelma_&_Louise" ], [ "Sony_Pictures_Entertainment", "nominated_for", "Men_in_Black" ], [ "Space_Cowboys", "film_crew_role", "Visual_Effects_Art_Director" ], [ "Space_Cowboys", "film_production_design_by", "Henry_Bumstead" ], [ "Space_Cowboys", "genre", "Buddy_film" ], [ "Space_Cowboys", "genre", "Comedy-drama" ], [ "Starsky_&_Hutch", "award_winner", "Owen_Wilson" ], [ "Starsky_&_Hutch", "genre", "Buddy_film" ], [ "Starsky_&_Hutch", "genre", "Parody" ], [ "Stephen_Tobolowsky", "acted_in", "National_Security" ], [ "Stephen_Tobolowsky", "acted_in", "Thelma_&_Louise" ], [ "Stevie_Wonder", "nominated_for", "Wild_Wild_West" ], [ "Ted_Levine", "acted_in", "Wild_Wild_West" ], [ "Ted_Levine", "award_nominee", "Cuba_Gooding,_Jr." ], [ "Terry_Crews", "acted_in", "Norbit" ], [ "Terry_Crews", "acted_in", "Starsky_&_Hutch" ], [ "The_Adventures_of_Pluto_Nash", "award_winner", "Eddie_Murphy" ], [ "The_Adventures_of_Pluto_Nash", "honored_for", "Norbit" ], [ "The_Fisher_King", "genre", "Buddy_film" ], [ "The_Fisher_King", "genre", "Comedy-drama" ], [ "The_Fisher_King", "genre", "Indie_film" ], [ "The_Fisher_King", "production_companies", "TriStar_Pictures" ], [ "The_Full_Monty", "film_crew_role", "Dialogue_Editor" ], [ "The_Full_Monty", "genre", "Buddy_film" ], [ "The_Full_Monty", "genre", "Comedy-drama" ], [ "The_Full_Monty", "genre", "Indie_film" ], [ "The_Sting", "award_winner", "Robert_Redford" ], [ "The_Sting", "film_art_direction_by", "Henry_Bumstead" ], [ "The_Sting", "genre", "Buddy_film" ], [ "The_Sting", "list", "National_Film_Registry" ], [ "Thelma_&_Louise", "film_music", "Hans_Zimmer" ], [ "Thelma_&_Louise", "genre", "Buddy_film" ], [ "Thelma_&_Louise", "genre", "Comedy-drama" ], [ "Thelma_&_Louise", "genre", "Road_movie" ], [ "Tommy_Lee_Jones", "acted_in", "Men_in_Black" ], [ "Tommy_Lee_Jones", "acted_in", "Men_in_Black_3" ], [ "Tommy_Lee_Jones", "acted_in", "Men_in_Black_II" ], [ "Tommy_Lee_Jones", "acted_in", "Space_Cowboys" ], [ "Tony_Shalhoub", "acted_in", "Men_in_Black" ], [ "Tony_Shalhoub", "acted_in", "Men_in_Black_II" ], [ "TriStar_Pictures", "award_nominee", "John_Davis" ], [ "TriStar_Pictures", "award_winner", "John_Davis" ], [ "TriStar_Pictures", "film", "Rush_Hour_2" ], [ "Walt_Disney_Studios_Motion_Pictures", "film", "Jay_and_Silent_Bob_Strike_Back" ], [ "Walt_Disney_Studios_Motion_Pictures", "film", "Starsky_&_Hutch" ], [ "Walt_Disney_Studios_Motion_Pictures", "film", "Who_Framed_Roger_Rabbit" ], [ "Walter_F._Parkes", "award", "Academy_Award_for_Best_Documentary_Feature" ], [ "Walter_F._Parkes", "nominated_for", "Men_in_Black" ], [ "Western", "titles", "City_Slickers" ], [ "Western", "titles", "Wild_Wild_West" ], [ "Who_Framed_Roger_Rabbit", "award_honor_award", "Academy_Award_for_Best_Sound_Editing" ], [ "Who_Framed_Roger_Rabbit", "award_winner", "Ken_Ralston" ], [ "Who_Framed_Roger_Rabbit", "crewmember", "Ken_Ralston" ], [ "Who_Framed_Roger_Rabbit", "genre", "Buddy_film" ], [ "Who_Framed_Roger_Rabbit", "genre", "Parody" ], [ "Who_Framed_Roger_Rabbit", "production_companies", "Amblin_Entertainment" ], [ "Wild_Wild_West", "award_honor_award", "Razzie_Award_for_Worst_Screenplay" ], [ "Wild_Wild_West", "award_winner", "Barry_Sonnenfeld" ], [ "Wild_Wild_West", "award_winner", "Stevie_Wonder" ], [ "Wild_Wild_West", "award_winner", "Will_Smith" ], [ "Wild_Wild_West", "crewmember", "Kevin_O'Connell" ], [ "Wild_Wild_West", "crewmember", "Richard_A._Baker" ], [ "Wild_Wild_West", "crewmember", "Skip_Lievsay" ], [ "Wild_Wild_West", "film_crew_role", "Visual_Effects_Art_Director" ], [ "Wild_Wild_West", "genre", "Buddy_film" ], [ "Wild_Wild_West", "genre", "Western" ], [ "Wild_Wild_West", "nominated_for", "Dogma" ], [ "Wild_Wild_West", "produced_by", "Barry_Sonnenfeld" ], [ "Will_Ferrell", "acted_in", "Jay_and_Silent_Bob_Strike_Back" ], [ "Will_Ferrell", "acted_in", "Starsky_&_Hutch" ], [ "Will_Smith", "acted_in", "Men_in_Black" ], [ "Will_Smith", "acted_in", "Men_in_Black_3" ], [ "Will_Smith", "acted_in", "Men_in_Black_II" ], [ "Will_Smith", "nominated_for", "Men_in_Black" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 2566, A&M_Records 8546, Agra 13181, Alto_saxophone 8926, Ambient_music 3198, BFCA_Critics'_Choice_Award_for_Best_Composer 6011, Bagpipes 9462, Baritone_saxophone 14067, Beck_Hansen 12861, Bill_Bruford 8100, Blood,_Sweat_&_Tears 7715, Bonnie_Raitt 10667, Branford_Marsalis 10813, Capitol_Records 10173, Carlos_Santana 322, Celesta 3564, Cesar_Romero 9587, Charles_Lang 6780, Charlie_Parker 606, Classical_guitar 5008, Classical_music 8297, Cowbell 10446, David_Sanborn 3846, Debbie_Harry 6679, Djembe 6796, Eddie_Vedder 1834, Electronic_drum 6084, Electronica 9474, Elektra_Records 5251, Elvis_Costello 2578, Experimental_music 10781, Experimental_rock 11683, Flugelhorn 12096, Frank_Zappa 6443, Fred_MacMurray 4971, Freddie_Mercury 13224, Funk 2385, Giorgio_Moroder 986, Glam_rock 7277, Gong 6277, Graham_Gouldman 3006, Grammy_Award_for_Best_Compilation_Soundtrack_for_Visual_Media 8585, Grammy_Award_for_Best_Instrumental_Composition 5451, Grammy_Award_for_Best_Music_Film 5281, Grammy_Award_for_Best_Pop_Performance_by_a_Duo_or_Group_with_Vocal 913, Grammy_Award_for_Best_Rock_Song 13086, Hammered_dulcimer 11397, Hollywood_Records 6420, Interscope_Records 5549, Irving_Thalberg 12446, Jazz_fusion 10909, Joe_Jonas 9950, John_Coltrane 2799, John_Lee_Hooker 6464, John_Zorn 12236, Jon_Anderson 10272, Jonas_Brothers 5762, Kazoo 8034, Keith_Jarrett 1537, Keyboard_player-GB 2480, King_Crimson 12954, Lenny_Kravitz 6988, Little_Feat 6629, Loreena_McKennitt 10897, Lyricist 13387, Mark_Mancina 2186, Matt_Chamberlain 6694, Mick_Harvey 11801, Mike_Oldfield 8989, Miles_Davis 2412, Nick_Jonas 6528, Nico 10091, Oingo_Boingo 788, Parlophone 2278, Phil_Collins 9725, Pianist-GB 12510, Pneumonia 1716, Polydor_Records 9297, Queen 9284, RCA_Records 8708, Ray_Charles 11886, Raymond_Massey 5876, Ringo_Starr 10379, Rock_and_Roll_Hall_of_Fame 3782, Roger_Meddows_Taylor 5069, Ron_Carter 1391, Santa_Monica 13784, Satellite_Award_for_Best_Original_Song 11898, Slumdog_Millionaire 7507, Soft_rock 13411, Soprano_saxophone 9382, Steve_Jordan 13332, Steven_Wilson 10809, Stevie_Nicks 1993, Sun_Ra 11824, Tabla 5116, Tambourine 7702, The_Byrds 4824, The_Mothers_of_Invention 10326, Timbales 650, Tom_Scott 13851, Tom_Waits 10575, Trent_Reznor 3413, Triangle 7297, Tubular_bell 6870, Twelve_string_guitar 7977, Universal_Music_Group 3661, Van_Morrison 6249, Virgin_Records 219, Wayne_Shorter 10700, Xylophone 8254, Zither 6274, baritone_guitar 7721, bass_drum 3813, goblet_drum 1669, hurdy_gurdy 5195, snare_drum src, edge_attr, dst 2566, artist, 6796 2566, artist, 6277 13181, group, 8100 13181, group, 10091 13181, group, 4824 13181, instrumentalists, 8708 13181, instrumentalists, 650 13181, instrumentalists, 3661 13181, performance_role, 9462 13181, performance_role, 13411 13181, role, 11683 13181, role, 5116 8926, artists, 2186 8926, artists, 11801 3198, award_winner, 10575 3198, nominated_for, 11898 6011, instrumentalists, 2278 6011, role, 5762 6011, role, 5116 6011, role, 8254 6011, role, 1669 6011, role, 5195 9462, group, 10091 9462, group, 4824 9462, instrumentalists, 650 9462, performance_role, 13181 9462, performance_role, 13411 9462, role, 13181 9462, role, 322 9462, role, 11683 9462, role, 13411 9462, role, 3413 14067, profession, 1537 14067, role, 322 14067, role, 5116 14067, role, 6870 12861, group, 7277 12861, group, 2480 7715, award_nominee, 2799 7715, role, 5116 10667, role, 13181 10667, role, 13411 10813, artist, 7715 10813, artist, 3846 10813, artist, 9297 10813, artist, 5876 10173, role, 606 10173, role, 10326 322, instrumentalists, 5251 322, instrumentalists, 1993 322, role, 13181 322, role, 9462 322, role, 13411 322, role, 5116 322, role, 6870 322, role, 10700 3564, place_of_death, 1391 9587, place_of_death, 1391 6780, role, 13181 606, role, 322 606, role, 5116 606, role, 6870 5008, artists, 11801 5008, artists, 4824 8297, role, 11824 8297, role, 5116 8297, role, 3413 8297, role, 7721 8297, role, 3813 8297, role, 5195 10446, role, 13181 10446, role, 9462 10446, role, 13411 3846, award_nominee, 2385 6679, role, 7277 6679, role, 13086 6679, role, 11824 6679, role, 5116 6679, role, 3413 6679, role, 7721 6679, role, 3813 6796, award, 913 6796, award, 13784 6796, role, 5116 1834, group, 2480 1834, role, 322 1834, role, 5195 6084, artists, 2186 6084, artists, 10575 9474, artist, 12236 9474, artist, 9297 9474, artist, 7702 5251, award, 13784 5251, role, 5116 2578, artists, 12096 2578, artists, 2186 2578, artists, 11801 2578, artists, 6528 2578, artists, 4824 2578, artists, 13851 10781, artists, 14067 10781, artists, 12096 10781, artists, 7277 10781, artists, 2480 10781, artists, 4824 10781, artists, 13851 10781, artists, 10575 11683, group, 8100 11683, instrumentalists, 8989 11683, role, 13181 11683, role, 9462 11683, role, 13411 11683, role, 5116 11683, role, 6274 12096, group, 4824 12096, role, 5116 6443, place_of_death, 1391 4971, award, 5451 4971, award_nominee, 2385 4971, group, 9297 4971, profession, 1537 4971, profession, 9725 4971, role, 5116 13224, artists, 12954 13224, artists, 6988 13224, artists, 2186 13224, artists, 9382 2385, award_nominee, 3846 2385, award_nominee, 4971 986, artists, 4971 986, artists, 9297 986, artists, 3782 7277, family, 7277 7277, role, 6679 7277, role, 11824 7277, role, 5116 7277, role, 10326 7277, role, 3413 7277, role, 7297 7277, role, 8254 7277, role, 3813 7277, role, 5195 6277, performance_role, 8297 6277, role, 8297 6277, role, 5116 6277, role, 8254 3006, award_winner, 2278 8585, award_winner, 11801 8585, award_winner, 5069 13086, instrumentalists, 13332 13086, role, 6679 13086, role, 5116 13086, role, 1669 13086, role, 5195 11397, artist, 4971 11397, artist, 10909 11397, artist, 10272 11397, artist, 9297 6420, artist, 14067 6420, artist, 10575 5549, place_of_death, 1391 12446, artists, 12096 12446, artists, 7277 12446, artists, 2480 12446, artists, 6988 12446, artists, 2278 12446, artists, 4824 12446, artists, 3661 10909, group, 10272 10909, profession, 1537 10909, role, 5116 10909, sibling, 2412 9950, performance_role, 13411 9950, role, 13181 9950, role, 13411 2799, award_winner, 7715 2799, award_winner, 3661 6464, role, 13181 6464, role, 322 12236, role, 5116 5762, role, 6011 5762, role, 13411 5762, role, 5116 5762, role, 10700 5762, role, 5195 8034, role, 322 8034, role, 13411 12954, award, 913 12954, profession, 1537 12954, profession, 10897 12954, role, 5116 12954, role, 7297 6629, profession, 9725 6629, role, 5116 6629, role, 8254 13387, award_nominee, 2278 13387, award_winner, 2278 13387, place_of_birth, 1391 2186, performance_role, 5195 2186, role, 11824 2186, role, 5116 2186, role, 5195 6694, role, 5116 6694, role, 10700 6694, role, 5195 11801, award, 8585 11801, role, 606 11801, role, 7277 11801, role, 5116 8989, place_of_death, 1391 8989, role, 11683 2412, group, 10272 2412, sibling, 10909 6528, profession, 10897 788, artist, 4971 788, artist, 9297 788, artist, 5876 2278, award, 3006 2278, award, 5451 2278, award, 5281 2278, award, 13784 2278, award_nominee, 13387 2278, award_winner, 13387 2278, role, 1834 2278, role, 5116 2278, role, 5195 12510, people, 3564 12510, people, 9587 12510, people, 6443 12510, people, 4971 12510, people, 5549 12510, people, 8989 12510, people, 11886 12510, people, 1993 1716, artist, 4971 1716, artist, 12236 1716, artist, 2480 1716, artist, 5876 1716, artist, 10809 1716, artist, 3661 9297, award, 5281 9284, artist, 6277 9284, artist, 5876 11886, performance_role, 5195 5876, profession, 10897 5876, role, 8297 5876, role, 5116 10379, inductee, 7715 10379, inductee, 12096 10379, inductee, 9297 10379, inductee, 7702 10379, inductee, 3661 3782, group, 9297 3782, role, 5116 5069, award, 8585 5069, role, 8297 5069, role, 5116 1391, place, 1391 13784, award_winner, 7715 11898, award_honor_award, 3198 11898, featured_film_locations, 8546 7507, artists, 6277 7507, artists, 10272 7507, artists, 2278 7507, artists, 10809 7507, artists, 3661 13411, group, 8100 13411, group, 10091 13411, instrumentalists, 9950 13411, instrumentalists, 8034 13411, instrumentalists, 650 13411, instrumentalists, 219 13411, performance_role, 9462 13411, role, 13181 13411, role, 9462 13411, role, 322 13411, role, 11683 13411, role, 5762 13411, role, 11824 9382, award, 3006 9382, role, 5116 13332, role, 322 13332, role, 7277 13332, role, 13086 13332, role, 7297 10809, role, 5116 1993, role, 7277 11824, role, 8297 11824, role, 6679 11824, role, 11683 11824, role, 7277 11824, role, 13411 11824, role, 5116 11824, role, 3413 11824, role, 7721 11824, role, 3813 11824, role, 5195 5116, group, 10272 5116, group, 2480 5116, group, 6988 5116, group, 9297 5116, group, 7702 5116, group, 4824 5116, instrumentalists, 3846 5116, instrumentalists, 5251 5116, instrumentalists, 6528 5116, instrumentalists, 10575 5116, instrumentalists, 3661 5116, role, 13181 5116, role, 6011 5116, role, 9462 5116, role, 322 5116, role, 8297 5116, role, 6679 5116, role, 11683 5116, role, 7277 5116, role, 13086 5116, role, 5762 5116, role, 13411 5116, role, 11824 5116, role, 10326 5116, role, 3413 5116, role, 7297 5116, role, 8254 5116, role, 7721 5116, role, 3813 5116, role, 1669 5116, role, 5195 10326, role, 8297 10326, role, 3413 10326, role, 1669 13851, role, 5116 10575, award, 3198 10575, award, 913 10575, profession, 1537 3413, group, 9297 3413, role, 9462 3413, role, 8297 3413, role, 6679 3413, role, 7277 3413, role, 5116 3413, role, 10326 3413, role, 6870 3413, role, 3813 3413, role, 5195 7297, group, 4824 7297, role, 7277 7297, role, 5116 7297, role, 10700 7297, role, 8254 7297, role, 3813 6870, family, 606 6870, role, 322 6870, role, 606 6870, role, 3413 7977, artist, 6629 7977, artist, 9297 7977, artist, 10575 7977, citytown, 1391 3661, award_nominee, 2799 3661, award_winner, 2799 3661, influenced_by, 6780 3661, influenced_by, 8708 3661, profession, 10897 3661, role, 13181 6249, artist, 2480 6249, artist, 12954 6249, artist, 11801 6249, artist, 2278 6249, artist, 9382 219, award_nominee, 5069 219, award_winner, 5069 219, role, 13411 10700, group, 4824 10700, role, 322 10700, role, 8297 10700, role, 5762 10700, role, 7297 10700, role, 5195 8254, role, 6011 8254, role, 7297 6274, group, 2480 6274, role, 11683 7721, role, 8297 7721, role, 6679 7721, role, 5116 7721, role, 5195 3813, role, 7277 3813, role, 11824 3813, role, 5116 3813, role, 3413 3813, role, 7297 3813, role, 1669 3813, role, 5195 1669, role, 6011 1669, role, 7277 1669, role, 5116 1669, role, 10326 1669, role, 3813 5195, role, 6011 5195, role, 1834 5195, role, 7277 5195, role, 13086 5195, role, 5762 5195, role, 11824 5195, role, 5116 5195, role, 3413 5195, role, 10700 5195, role, 7721 5195, role, 3813 Question: For what reason are Agra, Irving_Thalberg, and Tambourine associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Agra", "Irving_Thalberg", "Tambourine" ], "valid_edges": [ [ "A&M_Records", "artist", "Eddie_Vedder" ], [ "A&M_Records", "artist", "Graham_Gouldman" ], [ "Alto_saxophone", "group", "Blood,_Sweat_&_Tears" ], [ "Alto_saxophone", "group", "Oingo_Boingo" ], [ "Alto_saxophone", "group", "The_Mothers_of_Invention" ], [ "Alto_saxophone", "instrumentalists", "Ray_Charles" ], [ "Alto_saxophone", "instrumentalists", "Tom_Scott" ], [ "Alto_saxophone", "instrumentalists", "Van_Morrison" ], [ "Alto_saxophone", "performance_role", "Baritone_saxophone" ], [ "Alto_saxophone", "performance_role", "Soprano_saxophone" ], [ "Alto_saxophone", "role", "Flugelhorn" ], [ "Alto_saxophone", "role", "Tambourine" ], [ "Ambient_music", "artists", "Matt_Chamberlain" ], [ "Ambient_music", "artists", "Mike_Oldfield" ], [ "BFCA_Critics'_Choice_Award_for_Best_Composer", "award_winner", "Trent_Reznor" ], [ "BFCA_Critics'_Choice_Award_for_Best_Composer", "nominated_for", "Slumdog_Millionaire" ], [ "Bagpipes", "instrumentalists", "Phil_Collins" ], [ "Bagpipes", "role", "Kazoo" ], [ "Bagpipes", "role", "Tambourine" ], [ "Bagpipes", "role", "Zither" ], [ "Bagpipes", "role", "hurdy_gurdy" ], [ "Bagpipes", "role", "snare_drum" ], [ "Baritone_saxophone", "group", "Oingo_Boingo" ], [ "Baritone_saxophone", "group", "The_Mothers_of_Invention" ], [ "Baritone_saxophone", "instrumentalists", "Tom_Scott" ], [ "Baritone_saxophone", "performance_role", "Alto_saxophone" ], [ "Baritone_saxophone", "performance_role", "Soprano_saxophone" ], [ "Baritone_saxophone", "role", "Alto_saxophone" ], [ "Baritone_saxophone", "role", "Celesta" ], [ "Baritone_saxophone", "role", "Flugelhorn" ], [ "Baritone_saxophone", "role", "Soprano_saxophone" ], [ "Baritone_saxophone", "role", "Triangle" ], [ "Beck_Hansen", "profession", "Keyboard_player-GB" ], [ "Beck_Hansen", "role", "Celesta" ], [ "Beck_Hansen", "role", "Tambourine" ], [ "Beck_Hansen", "role", "Twelve_string_guitar" ], [ "Bill_Bruford", "group", "Gong" ], [ "Bill_Bruford", "group", "King_Crimson" ], [ "Bonnie_Raitt", "award_nominee", "John_Lee_Hooker" ], [ "Bonnie_Raitt", "role", "Tambourine" ], [ "Branford_Marsalis", "role", "Alto_saxophone" ], [ "Branford_Marsalis", "role", "Soprano_saxophone" ], [ "Capitol_Records", "artist", "Bonnie_Raitt" ], [ "Capitol_Records", "artist", "Debbie_Harry" ], [ "Capitol_Records", "artist", "Queen" ], [ "Capitol_Records", "artist", "Ringo_Starr" ], [ "Carlos_Santana", "role", "Classical_guitar" ], [ "Carlos_Santana", "role", "Timbales" ], [ "Celesta", "instrumentalists", "Elvis_Costello" ], [ "Celesta", "instrumentalists", "Sun_Ra" ], [ "Celesta", "role", "Alto_saxophone" ], [ "Celesta", "role", "Baritone_saxophone" ], [ "Celesta", "role", "Soprano_saxophone" ], [ "Celesta", "role", "Tambourine" ], [ "Celesta", "role", "Twelve_string_guitar" ], [ "Celesta", "role", "Xylophone" ], [ "Cesar_Romero", "place_of_death", "Santa_Monica" ], [ "Charles_Lang", "place_of_death", "Santa_Monica" ], [ "Charlie_Parker", "role", "Alto_saxophone" ], [ "Classical_guitar", "role", "Celesta" ], [ "Classical_guitar", "role", "Tambourine" ], [ "Classical_guitar", "role", "Twelve_string_guitar" ], [ "Classical_music", "artists", "Mike_Oldfield" ], [ "Classical_music", "artists", "The_Mothers_of_Invention" ], [ "Cowbell", "role", "Tabla" ], [ "Cowbell", "role", "Tambourine" ], [ "Cowbell", "role", "Triangle" ], [ "Cowbell", "role", "bass_drum" ], [ "Cowbell", "role", "goblet_drum" ], [ "Cowbell", "role", "snare_drum" ], [ "David_Sanborn", "role", "Alto_saxophone" ], [ "David_Sanborn", "role", "Baritone_saxophone" ], [ "David_Sanborn", "role", "Soprano_saxophone" ], [ "Debbie_Harry", "award_nominee", "Giorgio_Moroder" ], [ "Djembe", "role", "Gong" ], [ "Djembe", "role", "Hammered_dulcimer" ], [ "Djembe", "role", "Tabla" ], [ "Djembe", "role", "Tambourine" ], [ "Djembe", "role", "Triangle" ], [ "Djembe", "role", "bass_drum" ], [ "Djembe", "role", "goblet_drum" ], [ "Eddie_Vedder", "award", "Grammy_Award_for_Best_Rock_Song" ], [ "Eddie_Vedder", "award", "Satellite_Award_for_Best_Original_Song" ], [ "Eddie_Vedder", "role", "Tambourine" ], [ "Electronic_drum", "group", "King_Crimson" ], [ "Electronic_drum", "role", "Celesta" ], [ "Electronic_drum", "role", "snare_drum" ], [ "Electronica", "artists", "Matt_Chamberlain" ], [ "Electronica", "artists", "Trent_Reznor" ], [ "Elektra_Records", "artist", "Jon_Anderson" ], [ "Elektra_Records", "artist", "Queen" ], [ "Elektra_Records", "artist", "The_Byrds" ], [ "Elvis_Costello", "award", "Satellite_Award_for_Best_Original_Song" ], [ "Elvis_Costello", "role", "Tambourine" ], [ "Experimental_music", "artists", "Frank_Zappa" ], [ "Experimental_music", "artists", "Matt_Chamberlain" ], [ "Experimental_music", "artists", "Mike_Oldfield" ], [ "Experimental_music", "artists", "Nico" ], [ "Experimental_music", "artists", "The_Mothers_of_Invention" ], [ "Experimental_music", "artists", "Tom_Waits" ], [ "Experimental_rock", "artists", "Beck_Hansen" ], [ "Experimental_rock", "artists", "Frank_Zappa" ], [ "Experimental_rock", "artists", "Gong" ], [ "Experimental_rock", "artists", "King_Crimson" ], [ "Experimental_rock", "artists", "The_Mothers_of_Invention" ], [ "Experimental_rock", "artists", "Tom_Waits" ], [ "Experimental_rock", "artists", "Trent_Reznor" ], [ "Flugelhorn", "group", "Blood,_Sweat_&_Tears" ], [ "Flugelhorn", "instrumentalists", "Miles_Davis" ], [ "Flugelhorn", "role", "Alto_saxophone" ], [ "Flugelhorn", "role", "Baritone_saxophone" ], [ "Flugelhorn", "role", "Soprano_saxophone" ], [ "Flugelhorn", "role", "Tambourine" ], [ "Flugelhorn", "role", "baritone_guitar" ], [ "Frank_Zappa", "group", "The_Mothers_of_Invention" ], [ "Frank_Zappa", "role", "Tambourine" ], [ "Fred_MacMurray", "place_of_death", "Santa_Monica" ], [ "Freddie_Mercury", "award", "Grammy_Award_for_Best_Music_Film" ], [ "Freddie_Mercury", "award_nominee", "Giorgio_Moroder" ], [ "Freddie_Mercury", "group", "Queen" ], [ "Freddie_Mercury", "profession", "Keyboard_player-GB" ], [ "Freddie_Mercury", "profession", "Pianist-GB" ], [ "Freddie_Mercury", "role", "Tambourine" ], [ "Funk", "artists", "Lenny_Kravitz" ], [ "Funk", "artists", "Little_Feat" ], [ "Funk", "artists", "Matt_Chamberlain" ], [ "Funk", "artists", "Steve_Jordan" ], [ "Giorgio_Moroder", "award_nominee", "Debbie_Harry" ], [ "Giorgio_Moroder", "award_nominee", "Freddie_Mercury" ], [ "Glam_rock", "artists", "Freddie_Mercury" ], [ "Glam_rock", "artists", "Queen" ], [ "Glam_rock", "artists", "Roger_Meddows_Taylor" ], [ "Gong", "family", "Gong" ], [ "Gong", "role", "Djembe" ], [ "Gong", "role", "Tabla" ], [ "Gong", "role", "Tambourine" ], [ "Gong", "role", "Timbales" ], [ "Gong", "role", "Triangle" ], [ "Gong", "role", "Tubular_bell" ], [ "Gong", "role", "Zither" ], [ "Gong", "role", "goblet_drum" ], [ "Gong", "role", "snare_drum" ], [ "Graham_Gouldman", "performance_role", "Cowbell" ], [ "Graham_Gouldman", "role", "Cowbell" ], [ "Graham_Gouldman", "role", "Tambourine" ], [ "Graham_Gouldman", "role", "Zither" ], [ "Grammy_Award_for_Best_Compilation_Soundtrack_for_Visual_Media", "award_winner", "Phil_Collins" ], [ "Grammy_Award_for_Best_Instrumental_Composition", "award_winner", "Mike_Oldfield" ], [ "Grammy_Award_for_Best_Instrumental_Composition", "award_winner", "Ron_Carter" ], [ "Hammered_dulcimer", "instrumentalists", "Steven_Wilson" ], [ "Hammered_dulcimer", "role", "Djembe" ], [ "Hammered_dulcimer", "role", "Tambourine" ], [ "Hammered_dulcimer", "role", "hurdy_gurdy" ], [ "Hammered_dulcimer", "role", "snare_drum" ], [ "Hollywood_Records", "artist", "Freddie_Mercury" ], [ "Hollywood_Records", "artist", "Joe_Jonas" ], [ "Hollywood_Records", "artist", "Jonas_Brothers" ], [ "Hollywood_Records", "artist", "Queen" ], [ "Interscope_Records", "artist", "Beck_Hansen" ], [ "Interscope_Records", "artist", "Trent_Reznor" ], [ "Irving_Thalberg", "place_of_death", "Santa_Monica" ], [ "Jazz_fusion", "artists", "Frank_Zappa" ], [ "Jazz_fusion", "artists", "Gong" ], [ "Jazz_fusion", "artists", "King_Crimson" ], [ "Jazz_fusion", "artists", "Little_Feat" ], [ "Jazz_fusion", "artists", "Phil_Collins" ], [ "Jazz_fusion", "artists", "The_Mothers_of_Invention" ], [ "Jazz_fusion", "artists", "Van_Morrison" ], [ "Joe_Jonas", "group", "Jonas_Brothers" ], [ "Joe_Jonas", "profession", "Keyboard_player-GB" ], [ "Joe_Jonas", "role", "Tambourine" ], [ "Joe_Jonas", "sibling", "Nick_Jonas" ], [ "John_Coltrane", "performance_role", "Soprano_saxophone" ], [ "John_Coltrane", "role", "Alto_saxophone" ], [ "John_Coltrane", "role", "Soprano_saxophone" ], [ "John_Lee_Hooker", "award_winner", "Bonnie_Raitt" ], [ "John_Lee_Hooker", "award_winner", "Van_Morrison" ], [ "John_Zorn", "role", "Alto_saxophone" ], [ "John_Zorn", "role", "Celesta" ], [ "Jon_Anderson", "role", "Tambourine" ], [ "Kazoo", "role", "Bagpipes" ], [ "Kazoo", "role", "Soprano_saxophone" ], [ "Kazoo", "role", "Tambourine" ], [ "Kazoo", "role", "Xylophone" ], [ "Kazoo", "role", "snare_drum" ], [ "Keith_Jarrett", "role", "Celesta" ], [ "Keith_Jarrett", "role", "Soprano_saxophone" ], [ "Lenny_Kravitz", "award", "Grammy_Award_for_Best_Rock_Song" ], [ "Lenny_Kravitz", "profession", "Keyboard_player-GB" ], [ "Lenny_Kravitz", "profession", "Lyricist" ], [ "Lenny_Kravitz", "role", "Tambourine" ], [ "Lenny_Kravitz", "role", "Tubular_bell" ], [ "Loreena_McKennitt", "profession", "Pianist-GB" ], [ "Loreena_McKennitt", "role", "Tambourine" ], [ "Loreena_McKennitt", "role", "Zither" ], [ "Mark_Mancina", "award_nominee", "Phil_Collins" ], [ "Mark_Mancina", "award_winner", "Phil_Collins" ], [ "Mark_Mancina", "place_of_birth", "Santa_Monica" ], [ "Matt_Chamberlain", "performance_role", "snare_drum" ], [ "Matt_Chamberlain", "role", "Tabla" ], [ "Matt_Chamberlain", "role", "Tambourine" ], [ "Matt_Chamberlain", "role", "snare_drum" ], [ "Mick_Harvey", "role", "Tambourine" ], [ "Mick_Harvey", "role", "Xylophone" ], [ "Mick_Harvey", "role", "snare_drum" ], [ "Mike_Oldfield", "award", "Grammy_Award_for_Best_Instrumental_Composition" ], [ "Mike_Oldfield", "role", "Classical_guitar" ], [ "Mike_Oldfield", "role", "Gong" ], [ "Mike_Oldfield", "role", "Tambourine" ], [ "Miles_Davis", "place_of_death", "Santa_Monica" ], [ "Miles_Davis", "role", "Flugelhorn" ], [ "Nick_Jonas", "group", "Jonas_Brothers" ], [ "Nick_Jonas", "sibling", "Joe_Jonas" ], [ "Nico", "profession", "Lyricist" ], [ "Parlophone", "artist", "Freddie_Mercury" ], [ "Parlophone", "artist", "Queen" ], [ "Parlophone", "artist", "Ringo_Starr" ], [ "Phil_Collins", "award", "Grammy_Award_for_Best_Compilation_Soundtrack_for_Visual_Media" ], [ "Phil_Collins", "award", "Grammy_Award_for_Best_Music_Film" ], [ "Phil_Collins", "award", "Grammy_Award_for_Best_Pop_Performance_by_a_Duo_or_Group_with_Vocal" ], [ "Phil_Collins", "award", "Satellite_Award_for_Best_Original_Song" ], [ "Phil_Collins", "award_nominee", "Mark_Mancina" ], [ "Phil_Collins", "award_winner", "Mark_Mancina" ], [ "Phil_Collins", "role", "Electronic_drum" ], [ "Phil_Collins", "role", "Tambourine" ], [ "Phil_Collins", "role", "snare_drum" ], [ "Pneumonia", "people", "Cesar_Romero" ], [ "Pneumonia", "people", "Charles_Lang" ], [ "Pneumonia", "people", "Fred_MacMurray" ], [ "Pneumonia", "people", "Freddie_Mercury" ], [ "Pneumonia", "people", "Irving_Thalberg" ], [ "Pneumonia", "people", "Miles_Davis" ], [ "Pneumonia", "people", "Raymond_Massey" ], [ "Pneumonia", "people", "Sun_Ra" ], [ "Polydor_Records", "artist", "Freddie_Mercury" ], [ "Polydor_Records", "artist", "Jon_Anderson" ], [ "Polydor_Records", "artist", "King_Crimson" ], [ "Polydor_Records", "artist", "Ringo_Starr" ], [ "Polydor_Records", "artist", "Stevie_Nicks" ], [ "Polydor_Records", "artist", "Van_Morrison" ], [ "Queen", "award", "Grammy_Award_for_Best_Pop_Performance_by_a_Duo_or_Group_with_Vocal" ], [ "RCA_Records", "artist", "Graham_Gouldman" ], [ "RCA_Records", "artist", "Ringo_Starr" ], [ "Raymond_Massey", "performance_role", "snare_drum" ], [ "Ringo_Starr", "profession", "Lyricist" ], [ "Ringo_Starr", "role", "Cowbell" ], [ "Ringo_Starr", "role", "Tambourine" ], [ "Rock_and_Roll_Hall_of_Fame", "inductee", "Bonnie_Raitt" ], [ "Rock_and_Roll_Hall_of_Fame", "inductee", "Frank_Zappa" ], [ "Rock_and_Roll_Hall_of_Fame", "inductee", "Queen" ], [ "Rock_and_Roll_Hall_of_Fame", "inductee", "The_Byrds" ], [ "Rock_and_Roll_Hall_of_Fame", "inductee", "Van_Morrison" ], [ "Roger_Meddows_Taylor", "group", "Queen" ], [ "Roger_Meddows_Taylor", "role", "Tambourine" ], [ "Ron_Carter", "award", "Grammy_Award_for_Best_Instrumental_Composition" ], [ "Ron_Carter", "role", "Cowbell" ], [ "Ron_Carter", "role", "Tambourine" ], [ "Santa_Monica", "place", "Santa_Monica" ], [ "Satellite_Award_for_Best_Original_Song", "award_winner", "Bonnie_Raitt" ], [ "Slumdog_Millionaire", "award_honor_award", "BFCA_Critics'_Choice_Award_for_Best_Composer" ], [ "Slumdog_Millionaire", "featured_film_locations", "Agra" ], [ "Soft_rock", "artists", "Graham_Gouldman" ], [ "Soft_rock", "artists", "Jonas_Brothers" ], [ "Soft_rock", "artists", "Phil_Collins" ], [ "Soft_rock", "artists", "Stevie_Nicks" ], [ "Soft_rock", "artists", "Van_Morrison" ], [ "Soprano_saxophone", "group", "Blood,_Sweat_&_Tears" ], [ "Soprano_saxophone", "group", "Oingo_Boingo" ], [ "Soprano_saxophone", "instrumentalists", "John_Coltrane" ], [ "Soprano_saxophone", "instrumentalists", "Keith_Jarrett" ], [ "Soprano_saxophone", "instrumentalists", "Tom_Scott" ], [ "Soprano_saxophone", "instrumentalists", "Wayne_Shorter" ], [ "Soprano_saxophone", "performance_role", "Baritone_saxophone" ], [ "Soprano_saxophone", "role", "Alto_saxophone" ], [ "Soprano_saxophone", "role", "Baritone_saxophone" ], [ "Soprano_saxophone", "role", "Celesta" ], [ "Soprano_saxophone", "role", "Flugelhorn" ], [ "Soprano_saxophone", "role", "Kazoo" ], [ "Soprano_saxophone", "role", "Tabla" ], [ "Steve_Jordan", "award", "Grammy_Award_for_Best_Compilation_Soundtrack_for_Visual_Media" ], [ "Steve_Jordan", "role", "Tambourine" ], [ "Steven_Wilson", "role", "Celesta" ], [ "Steven_Wilson", "role", "Gong" ], [ "Steven_Wilson", "role", "Hammered_dulcimer" ], [ "Steven_Wilson", "role", "Tubular_bell" ], [ "Stevie_Nicks", "role", "Tambourine" ], [ "Sun_Ra", "role", "Gong" ], [ "Tabla", "role", "Cowbell" ], [ "Tabla", "role", "Djembe" ], [ "Tabla", "role", "Flugelhorn" ], [ "Tabla", "role", "Gong" ], [ "Tabla", "role", "Soprano_saxophone" ], [ "Tabla", "role", "Tambourine" ], [ "Tabla", "role", "Triangle" ], [ "Tabla", "role", "bass_drum" ], [ "Tabla", "role", "goblet_drum" ], [ "Tabla", "role", "snare_drum" ], [ "Tambourine", "group", "Jonas_Brothers" ], [ "Tambourine", "group", "King_Crimson" ], [ "Tambourine", "group", "Little_Feat" ], [ "Tambourine", "group", "Queen" ], [ "Tambourine", "group", "The_Byrds" ], [ "Tambourine", "group", "The_Mothers_of_Invention" ], [ "Tambourine", "instrumentalists", "Debbie_Harry" ], [ "Tambourine", "instrumentalists", "Elvis_Costello" ], [ "Tambourine", "instrumentalists", "Nico" ], [ "Tambourine", "instrumentalists", "Trent_Reznor" ], [ "Tambourine", "instrumentalists", "Van_Morrison" ], [ "Tambourine", "role", "Alto_saxophone" ], [ "Tambourine", "role", "Bagpipes" ], [ "Tambourine", "role", "Baritone_saxophone" ], [ "Tambourine", "role", "Celesta" ], [ "Tambourine", "role", "Cowbell" ], [ "Tambourine", "role", "Djembe" ], [ "Tambourine", "role", "Flugelhorn" ], [ "Tambourine", "role", "Gong" ], [ "Tambourine", "role", "Hammered_dulcimer" ], [ "Tambourine", "role", "Kazoo" ], [ "Tambourine", "role", "Soprano_saxophone" ], [ "Tambourine", "role", "Tabla" ], [ "Tambourine", "role", "Timbales" ], [ "Tambourine", "role", "Triangle" ], [ "Tambourine", "role", "Tubular_bell" ], [ "Tambourine", "role", "Zither" ], [ "Tambourine", "role", "bass_drum" ], [ "Tambourine", "role", "goblet_drum" ], [ "Tambourine", "role", "hurdy_gurdy" ], [ "Tambourine", "role", "snare_drum" ], [ "Timbales", "role", "Cowbell" ], [ "Timbales", "role", "Triangle" ], [ "Timbales", "role", "hurdy_gurdy" ], [ "Tom_Waits", "role", "Tambourine" ], [ "Trent_Reznor", "award", "BFCA_Critics'_Choice_Award_for_Best_Composer" ], [ "Trent_Reznor", "award", "Grammy_Award_for_Best_Rock_Song" ], [ "Trent_Reznor", "profession", "Keyboard_player-GB" ], [ "Triangle", "group", "Queen" ], [ "Triangle", "role", "Baritone_saxophone" ], [ "Triangle", "role", "Cowbell" ], [ "Triangle", "role", "Djembe" ], [ "Triangle", "role", "Gong" ], [ "Triangle", "role", "Tambourine" ], [ "Triangle", "role", "Timbales" ], [ "Triangle", "role", "Twelve_string_guitar" ], [ "Triangle", "role", "goblet_drum" ], [ "Triangle", "role", "snare_drum" ], [ "Tubular_bell", "group", "The_Mothers_of_Invention" ], [ "Tubular_bell", "role", "Gong" ], [ "Tubular_bell", "role", "Tambourine" ], [ "Tubular_bell", "role", "Xylophone" ], [ "Tubular_bell", "role", "Zither" ], [ "Tubular_bell", "role", "goblet_drum" ], [ "Twelve_string_guitar", "family", "Classical_guitar" ], [ "Twelve_string_guitar", "role", "Celesta" ], [ "Twelve_string_guitar", "role", "Classical_guitar" ], [ "Twelve_string_guitar", "role", "Triangle" ], [ "Universal_Music_Group", "artist", "Loreena_McKennitt" ], [ "Universal_Music_Group", "artist", "Queen" ], [ "Universal_Music_Group", "artist", "Trent_Reznor" ], [ "Universal_Music_Group", "citytown", "Santa_Monica" ], [ "Van_Morrison", "award_nominee", "John_Lee_Hooker" ], [ "Van_Morrison", "award_winner", "John_Lee_Hooker" ], [ "Van_Morrison", "influenced_by", "Charlie_Parker" ], [ "Van_Morrison", "influenced_by", "Ray_Charles" ], [ "Van_Morrison", "profession", "Lyricist" ], [ "Van_Morrison", "role", "Alto_saxophone" ], [ "Virgin_Records", "artist", "King_Crimson" ], [ "Virgin_Records", "artist", "Lenny_Kravitz" ], [ "Virgin_Records", "artist", "Mike_Oldfield" ], [ "Virgin_Records", "artist", "Phil_Collins" ], [ "Virgin_Records", "artist", "Steve_Jordan" ], [ "Wayne_Shorter", "award_nominee", "Ron_Carter" ], [ "Wayne_Shorter", "award_winner", "Ron_Carter" ], [ "Wayne_Shorter", "role", "Soprano_saxophone" ], [ "Xylophone", "group", "The_Mothers_of_Invention" ], [ "Xylophone", "role", "Celesta" ], [ "Xylophone", "role", "Cowbell" ], [ "Xylophone", "role", "Kazoo" ], [ "Xylophone", "role", "Tubular_bell" ], [ "Xylophone", "role", "snare_drum" ], [ "Zither", "role", "Bagpipes" ], [ "Zither", "role", "Tubular_bell" ], [ "baritone_guitar", "group", "King_Crimson" ], [ "baritone_guitar", "role", "Flugelhorn" ], [ "bass_drum", "role", "Cowbell" ], [ "bass_drum", "role", "Djembe" ], [ "bass_drum", "role", "Tambourine" ], [ "bass_drum", "role", "snare_drum" ], [ "goblet_drum", "role", "Gong" ], [ "goblet_drum", "role", "Tabla" ], [ "goblet_drum", "role", "Tambourine" ], [ "goblet_drum", "role", "Triangle" ], [ "goblet_drum", "role", "Tubular_bell" ], [ "goblet_drum", "role", "hurdy_gurdy" ], [ "goblet_drum", "role", "snare_drum" ], [ "hurdy_gurdy", "role", "Bagpipes" ], [ "hurdy_gurdy", "role", "Gong" ], [ "hurdy_gurdy", "role", "Tambourine" ], [ "hurdy_gurdy", "role", "Timbales" ], [ "hurdy_gurdy", "role", "goblet_drum" ], [ "snare_drum", "role", "Bagpipes" ], [ "snare_drum", "role", "Electronic_drum" ], [ "snare_drum", "role", "Gong" ], [ "snare_drum", "role", "Hammered_dulcimer" ], [ "snare_drum", "role", "Kazoo" ], [ "snare_drum", "role", "Tabla" ], [ "snare_drum", "role", "Tambourine" ], [ "snare_drum", "role", "Triangle" ], [ "snare_drum", "role", "Xylophone" ], [ "snare_drum", "role", "bass_drum" ], [ "snare_drum", "role", "goblet_drum" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 13826, 66th_Golden_Globe_Awards 11203, Acting 9309, Alice_Doesn't_Live_Here_Anymore 13409, American_Academy_of_Dramatic_Arts 5745, Asleep_at_the_Wheel 381, Ben_Harper 6692, Bernardo_Bertolucci 2488, Chet_Atkins 13641, Chris_Thile 881, David_Grisman 3803, Dixie_Chicks 4675, Doc_Watson 237, Folk_music 123, Grammy_Award_for_Best_Country_Instrumental_Performance 12707, Hairdresser-GB 4643, Japan_Academy_Prize_for_Outstanding_Foreign_Language_Film 9033, Jay_Roach 3307, Jeff_Goldblum 11343, John_Hartford 12532, Jurassic_Park 1099, Kris_Kristofferson 7645, Laura_Dern 1934, Lee_Strasberg_Theatre_and_Film_Institute 1727, Little_Fockers 11119, Mark_Knopfler 6320, Meet_the_Fockers 11689, Michael_Pitt 5246, Nitty_Gritty_Dirt_Band 10441, Recount 13136, Ricky_Skaggs 6537, The_Dreamers 8503, Vicky_Cristina_Barcelona src, edge_attr, dst 13826, award_winner, 7645 13826, honored_for, 10441 13826, honored_for, 8503 11203, student, 7645 13409, major_field_of_study, 11203 13409, student, 11689 5745, award, 123 5745, award_nominee, 2488 5745, award_nominee, 3803 5745, award_winner, 2488 381, participant, 7645 381, spouse, 7645 6692, film, 6537 6692, nominated_for, 6537 2488, award, 123 2488, award_nominee, 5745 2488, award_nominee, 11119 2488, award_winner, 11119 2488, nominated_for, 5745 13641, award, 123 881, award, 123 3803, award_nominee, 5745 4675, award, 123 237, artists, 381 237, artists, 2488 237, artists, 13641 237, artists, 881 237, artists, 3803 237, artists, 4675 237, artists, 237 237, artists, 11343 237, artists, 1099 237, artists, 5246 237, artists, 13136 123, award_winner, 5745 123, award_winner, 2488 123, award_winner, 3803 123, award_winner, 4675 123, award_winner, 11119 123, award_winner, 5246 123, award_winner, 13136 123, nominated_for, 5745 4643, award_winner, 6692 9033, film, 10441 9033, nominated_for, 10441 3307, acted_in, 12532 11343, award, 123 12532, award_honor_award, 4643 1099, acted_in, 9309 7645, acted_in, 9309 7645, acted_in, 12532 7645, acted_in, 1727 7645, acted_in, 10441 7645, nominated_for, 10441 7645, participant, 381 7645, participant, 3307 7645, spouse, 381 1934, major_field_of_study, 11203 1934, student, 7645 1727, prequel, 6320 1727, produced_by, 9033 11119, award, 123 11119, award_nominee, 2488 11119, award_winner, 2488 6320, film_crew_role, 12707 11689, acted_in, 6537 5246, award, 123 10441, award_winner, 9033 10441, award_winner, 7645 10441, executive_produced_by, 9033 10441, produced_by, 9033 6537, film_crew_role, 12707 8503, film_crew_role, 12707 Question: In what context are Chet_Atkins, Laura_Dern, and The_Dreamers connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Chet_Atkins", "Laura_Dern", "The_Dreamers" ], "valid_edges": [ [ "66th_Golden_Globe_Awards", "award_winner", "Laura_Dern" ], [ "66th_Golden_Globe_Awards", "honored_for", "Recount" ], [ "66th_Golden_Globe_Awards", "honored_for", "Vicky_Cristina_Barcelona" ], [ "Acting", "student", "Laura_Dern" ], [ "American_Academy_of_Dramatic_Arts", "major_field_of_study", "Acting" ], [ "American_Academy_of_Dramatic_Arts", "student", "Michael_Pitt" ], [ "Asleep_at_the_Wheel", "award", "Grammy_Award_for_Best_Country_Instrumental_Performance" ], [ "Asleep_at_the_Wheel", "award_nominee", "Chet_Atkins" ], [ "Asleep_at_the_Wheel", "award_nominee", "Dixie_Chicks" ], [ "Asleep_at_the_Wheel", "award_winner", "Chet_Atkins" ], [ "Ben_Harper", "participant", "Laura_Dern" ], [ "Ben_Harper", "spouse", "Laura_Dern" ], [ "Bernardo_Bertolucci", "film", "The_Dreamers" ], [ "Bernardo_Bertolucci", "nominated_for", "The_Dreamers" ], [ "Chet_Atkins", "award", "Grammy_Award_for_Best_Country_Instrumental_Performance" ], [ "Chet_Atkins", "award_nominee", "Asleep_at_the_Wheel" ], [ "Chet_Atkins", "award_nominee", "Mark_Knopfler" ], [ "Chet_Atkins", "award_winner", "Mark_Knopfler" ], [ "Chet_Atkins", "nominated_for", "Asleep_at_the_Wheel" ], [ "Chris_Thile", "award", "Grammy_Award_for_Best_Country_Instrumental_Performance" ], [ "David_Grisman", "award", "Grammy_Award_for_Best_Country_Instrumental_Performance" ], [ "Dixie_Chicks", "award_nominee", "Asleep_at_the_Wheel" ], [ "Doc_Watson", "award", "Grammy_Award_for_Best_Country_Instrumental_Performance" ], [ "Folk_music", "artists", "Ben_Harper" ], [ "Folk_music", "artists", "Chet_Atkins" ], [ "Folk_music", "artists", "Chris_Thile" ], [ "Folk_music", "artists", "David_Grisman" ], [ "Folk_music", "artists", "Dixie_Chicks" ], [ "Folk_music", "artists", "Doc_Watson" ], [ "Folk_music", "artists", "Folk_music" ], [ "Folk_music", "artists", "John_Hartford" ], [ "Folk_music", "artists", "Kris_Kristofferson" ], [ "Folk_music", "artists", "Nitty_Gritty_Dirt_Band" ], [ "Folk_music", "artists", "Ricky_Skaggs" ], [ "Grammy_Award_for_Best_Country_Instrumental_Performance", "award_winner", "Asleep_at_the_Wheel" ], [ "Grammy_Award_for_Best_Country_Instrumental_Performance", "award_winner", "Chet_Atkins" ], [ "Grammy_Award_for_Best_Country_Instrumental_Performance", "award_winner", "Dixie_Chicks" ], [ "Grammy_Award_for_Best_Country_Instrumental_Performance", "award_winner", "Doc_Watson" ], [ "Grammy_Award_for_Best_Country_Instrumental_Performance", "award_winner", "Mark_Knopfler" ], [ "Grammy_Award_for_Best_Country_Instrumental_Performance", "award_winner", "Nitty_Gritty_Dirt_Band" ], [ "Grammy_Award_for_Best_Country_Instrumental_Performance", "award_winner", "Ricky_Skaggs" ], [ "Grammy_Award_for_Best_Country_Instrumental_Performance", "nominated_for", "Asleep_at_the_Wheel" ], [ "Japan_Academy_Prize_for_Outstanding_Foreign_Language_Film", "award_winner", "Bernardo_Bertolucci" ], [ "Jay_Roach", "film", "Recount" ], [ "Jay_Roach", "nominated_for", "Recount" ], [ "Jeff_Goldblum", "acted_in", "Jurassic_Park" ], [ "John_Hartford", "award", "Grammy_Award_for_Best_Country_Instrumental_Performance" ], [ "Jurassic_Park", "award_honor_award", "Japan_Academy_Prize_for_Outstanding_Foreign_Language_Film" ], [ "Kris_Kristofferson", "acted_in", "Alice_Doesn't_Live_Here_Anymore" ], [ "Laura_Dern", "acted_in", "Alice_Doesn't_Live_Here_Anymore" ], [ "Laura_Dern", "acted_in", "Jurassic_Park" ], [ "Laura_Dern", "acted_in", "Little_Fockers" ], [ "Laura_Dern", "acted_in", "Recount" ], [ "Laura_Dern", "nominated_for", "Recount" ], [ "Laura_Dern", "participant", "Ben_Harper" ], [ "Laura_Dern", "participant", "Jeff_Goldblum" ], [ "Laura_Dern", "spouse", "Ben_Harper" ], [ "Lee_Strasberg_Theatre_and_Film_Institute", "major_field_of_study", "Acting" ], [ "Lee_Strasberg_Theatre_and_Film_Institute", "student", "Laura_Dern" ], [ "Little_Fockers", "prequel", "Meet_the_Fockers" ], [ "Little_Fockers", "produced_by", "Jay_Roach" ], [ "Mark_Knopfler", "award", "Grammy_Award_for_Best_Country_Instrumental_Performance" ], [ "Mark_Knopfler", "award_nominee", "Chet_Atkins" ], [ "Mark_Knopfler", "award_winner", "Chet_Atkins" ], [ "Meet_the_Fockers", "film_crew_role", "Hairdresser-GB" ], [ "Michael_Pitt", "acted_in", "The_Dreamers" ], [ "Nitty_Gritty_Dirt_Band", "award", "Grammy_Award_for_Best_Country_Instrumental_Performance" ], [ "Recount", "award_winner", "Jay_Roach" ], [ "Recount", "award_winner", "Laura_Dern" ], [ "Recount", "executive_produced_by", "Jay_Roach" ], [ "Recount", "produced_by", "Jay_Roach" ], [ "The_Dreamers", "film_crew_role", "Hairdresser-GB" ], [ "Vicky_Cristina_Barcelona", "film_crew_role", "Hairdresser-GB" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 123, Grammy_Award_for_Best_Country_Instrumental_Performance 12707, Hairdresser-GB 9353, Harold_Faltermeyer 12645, Jon_Peters 11119, Mark_Knopfler 13148, Newcastle_United_F.C. 2079, Newcastle_upon_Tyne 12526, Shattered_Glass 4387, Tango_&_Cash src, edge_attr, dst 123, award_winner, 11119 9353, award, 123 12645, profession, 12707 11119, artist_origin, 2079 11119, award, 123 11119, location, 2079 13148, citytown, 2079 2079, teams, 13148 12526, film_crew_role, 12707 4387, film_music, 9353 4387, produced_by, 12645 Question: In what context are Harold_Faltermeyer, Newcastle_United_F.C., and Shattered_Glass connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Harold_Faltermeyer", "Newcastle_United_F.C.", "Shattered_Glass" ], "valid_edges": [ [ "Grammy_Award_for_Best_Country_Instrumental_Performance", "award_winner", "Mark_Knopfler" ], [ "Harold_Faltermeyer", "award", "Grammy_Award_for_Best_Country_Instrumental_Performance" ], [ "Jon_Peters", "profession", "Hairdresser-GB" ], [ "Mark_Knopfler", "artist_origin", "Newcastle_upon_Tyne" ], [ "Mark_Knopfler", "award", "Grammy_Award_for_Best_Country_Instrumental_Performance" ], [ "Mark_Knopfler", "location", "Newcastle_upon_Tyne" ], [ "Newcastle_United_F.C.", "citytown", "Newcastle_upon_Tyne" ], [ "Newcastle_upon_Tyne", "teams", "Newcastle_United_F.C." ], [ "Shattered_Glass", "film_crew_role", "Hairdresser-GB" ], [ "Tango_&_Cash", "film_music", "Harold_Faltermeyer" ], [ "Tango_&_Cash", "produced_by", "Jon_Peters" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 70, Anne_Rice 11624, Atlantic_Ocean 14117, Captain_Corelli's_Mandolin 329, For_Your_Eyes_Only 6085, Fordham_University 6102, Greek_Language 11806, John_Milton 3067, Latin_Language 10265, Live_and_Let_Die 12611, Loyola_University_Chicago 8386, Loyola_University_New_Orleans 2495, Maroon 6022, New_Orleans 6519, North_Sea 13734, Society_of_Jesus-GB 4657, The_Exorcist 10152, The_Guns_of_Navarone 8958, The_Thin_Red_Line 1279, World_War_II src, edge_attr, dst 70, influenced_by, 11806 70, place_of_birth, 6022 11624, adjoins, 6519 14117, language, 6102 329, language, 6102 329, nominated_for, 10265 6085, colors, 2495 6085, school_type, 13734 6102, split_to, 6102 11806, languages, 6102 11806, languages, 3067 10265, featured_film_locations, 6022 12611, colors, 2495 12611, school_type, 13734 8386, citytown, 6022 8386, colors, 2495 8386, educational_institution, 8386 8386, school_type, 13734 6022, contains, 8386 6022, place, 6022 4657, featured_film_locations, 6085 4657, language, 6102 4657, language, 3067 10152, language, 6102 8958, language, 6102 1279, films, 14117 1279, films, 10152 1279, films, 8958 1279, locations, 11624 Question: How are Greek_Language, Loyola_University_New_Orleans, and North_Sea related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Greek_Language", "Loyola_University_New_Orleans", "North_Sea" ], "valid_edges": [ [ "Anne_Rice", "influenced_by", "John_Milton" ], [ "Anne_Rice", "place_of_birth", "New_Orleans" ], [ "Atlantic_Ocean", "adjoins", "North_Sea" ], [ "Captain_Corelli's_Mandolin", "language", "Greek_Language" ], [ "For_Your_Eyes_Only", "language", "Greek_Language" ], [ "For_Your_Eyes_Only", "nominated_for", "Live_and_Let_Die" ], [ "Fordham_University", "colors", "Maroon" ], [ "Fordham_University", "school_type", "Society_of_Jesus-GB" ], [ "Greek_Language", "split_to", "Greek_Language" ], [ "John_Milton", "languages", "Greek_Language" ], [ "John_Milton", "languages", "Latin_Language" ], [ "Live_and_Let_Die", "featured_film_locations", "New_Orleans" ], [ "Loyola_University_Chicago", "colors", "Maroon" ], [ "Loyola_University_Chicago", "school_type", "Society_of_Jesus-GB" ], [ "Loyola_University_New_Orleans", "citytown", "New_Orleans" ], [ "Loyola_University_New_Orleans", "colors", "Maroon" ], [ "Loyola_University_New_Orleans", "educational_institution", "Loyola_University_New_Orleans" ], [ "Loyola_University_New_Orleans", "school_type", "Society_of_Jesus-GB" ], [ "New_Orleans", "contains", "Loyola_University_New_Orleans" ], [ "New_Orleans", "place", "New_Orleans" ], [ "The_Exorcist", "featured_film_locations", "Fordham_University" ], [ "The_Exorcist", "language", "Greek_Language" ], [ "The_Exorcist", "language", "Latin_Language" ], [ "The_Guns_of_Navarone", "language", "Greek_Language" ], [ "The_Thin_Red_Line", "language", "Greek_Language" ], [ "World_War_II", "films", "Captain_Corelli's_Mandolin" ], [ "World_War_II", "films", "The_Guns_of_Navarone" ], [ "World_War_II", "films", "The_Thin_Red_Line" ], [ "World_War_II", "locations", "Atlantic_Ocean" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 12828, 11th_Satellite_Awards 12243, 35th_Annual_Grammy_Awards 10061, 79th_Academy_Awards 608, Academy_Award_for_Best_Documentary_Feature 8656, Al_Gore 9448, An_Inconvenient_Truth 2694, Babel 9516, Berklee_College_of_Music 11275, Bowling_for_Columbine 13709, Businessperson-GB 11225, Casino_Royale 5887, Caucasian_race 11889, Chris_Cornell 3967, Dana_Carvey 688, Dreamgirls 8333, Enron:_The_Smartest_Guys_in_the_Room-GB 11947, Episcopal_Church 9795, George_H._W._Bush 9111, George_W._Bush 6059, Grammy_Award_for_Best_Song_Written_for_a_Motion_Picture,_Television_or_Other_Visual_Media 4283, Jennifer_Hudson 1426, Lawrence_Bender 8071, Melissa_Etheridge 3903, Michael_Minkler 4624, Midland 10485, Pan's_Labyrinth 8715, Phillips_Academy 1760, Pirates_of_the_Caribbean:_Dead_Man's_Chest 9403, Politician-GB 10441, Recount 13240, Red 1366, Republican_Party 1269, Richard_Branson 6709, Scotch-Irish_American 6918, Sicko 3549, Superman_Returns 2435, Texas_Rangers 9706, The_Departed 9609, The_Last_King_of_Scotland 5220, The_Queen 3713, Time_100 7605, Valenciennes_FC 2838, Vice_President-GB 2599, Virgin_Group 610, Willie_D._Burton 819, Yale_University src, edge_attr, dst 12828, award_winner, 11889 12828, award_winner, 4283 12828, award_winner, 3903 12828, award_winner, 610 12828, honored_for, 9448 12828, honored_for, 2694 12828, honored_for, 688 12828, honored_for, 10485 12828, honored_for, 1760 12828, honored_for, 3549 12828, honored_for, 9706 12828, honored_for, 9609 12828, honored_for, 5220 12243, award_winner, 8071 10061, award_winner, 4283 10061, award_winner, 8071 10061, award_winner, 3903 10061, award_winner, 610 10061, honored_for, 9448 10061, honored_for, 2694 10061, honored_for, 688 10061, honored_for, 10485 10061, honored_for, 1760 10061, honored_for, 9706 10061, honored_for, 9609 10061, honored_for, 5220 608, ceremony, 10061 608, nominated_for, 11275 608, nominated_for, 8333 608, nominated_for, 6918 8656, acted_in, 10441 8656, basic_title, 2838 8656, list, 3713 8656, profession, 9403 9448, award_honor_award, 608 9448, award_winner, 8656 9448, award_winner, 8071 9448, person, 8656 9448, person, 9795 9448, person, 9111 9448, produced_by, 8656 9448, produced_by, 1426 9448, written_by, 8656 9516, colors, 13240 9516, student, 8071 11275, person, 9795 11275, person, 9111 5887, people, 8656 5887, people, 9795 5887, people, 9111 11889, award, 6059 3967, celebrities_impersonated, 8656 3967, celebrities_impersonated, 9111 8333, person, 9111 9795, basic_title, 2838 9795, location, 4624 9795, profession, 13709 9795, profession, 9403 9795, religion, 11947 9111, company, 2435 9111, location, 4624 9111, location_of_ceremony, 4624 9111, profession, 13709 9111, profession, 9403 9111, religion, 11947 6059, ceremony, 12243 6059, nominated_for, 9448 6059, nominated_for, 11225 1426, nominated_for, 9448 1426, profession, 13709 8071, award, 6059 8071, nominated_for, 9448 8715, student, 9795 8715, student, 9111 10441, person, 9111 1366, party_politician, 9795 1366, party_politician, 9111 1269, acted_in, 11225 1269, acted_in, 3549 1269, company, 2599 1269, list, 3713 1269, organizations_founded, 2599 1269, profession, 13709 6709, people, 9795 6709, people, 9111 6918, person, 9111 2435, colors, 13240 7605, colors, 13240 819, student, 9795 819, student, 9111 Question: For what reason are An_Inconvenient_Truth, Valenciennes_FC, and Virgin_Group associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "An_Inconvenient_Truth", "Valenciennes_FC", "Virgin_Group" ], "valid_edges": [ [ "11th_Satellite_Awards", "award_winner", "Chris_Cornell" ], [ "11th_Satellite_Awards", "award_winner", "Jennifer_Hudson" ], [ "11th_Satellite_Awards", "award_winner", "Michael_Minkler" ], [ "11th_Satellite_Awards", "award_winner", "Willie_D._Burton" ], [ "11th_Satellite_Awards", "honored_for", "An_Inconvenient_Truth" ], [ "11th_Satellite_Awards", "honored_for", "Babel" ], [ "11th_Satellite_Awards", "honored_for", "Dreamgirls" ], [ "11th_Satellite_Awards", "honored_for", "Pan's_Labyrinth" ], [ "11th_Satellite_Awards", "honored_for", "Pirates_of_the_Caribbean:_Dead_Man's_Chest" ], [ "11th_Satellite_Awards", "honored_for", "Superman_Returns" ], [ "11th_Satellite_Awards", "honored_for", "The_Departed" ], [ "11th_Satellite_Awards", "honored_for", "The_Last_King_of_Scotland" ], [ "11th_Satellite_Awards", "honored_for", "The_Queen" ], [ "35th_Annual_Grammy_Awards", "award_winner", "Melissa_Etheridge" ], [ "79th_Academy_Awards", "award_winner", "Jennifer_Hudson" ], [ "79th_Academy_Awards", "award_winner", "Melissa_Etheridge" ], [ "79th_Academy_Awards", "award_winner", "Michael_Minkler" ], [ "79th_Academy_Awards", "award_winner", "Willie_D._Burton" ], [ "79th_Academy_Awards", "honored_for", "An_Inconvenient_Truth" ], [ "79th_Academy_Awards", "honored_for", "Babel" ], [ "79th_Academy_Awards", "honored_for", "Dreamgirls" ], [ "79th_Academy_Awards", "honored_for", "Pan's_Labyrinth" ], [ "79th_Academy_Awards", "honored_for", "Pirates_of_the_Caribbean:_Dead_Man's_Chest" ], [ "79th_Academy_Awards", "honored_for", "The_Departed" ], [ "79th_Academy_Awards", "honored_for", "The_Last_King_of_Scotland" ], [ "79th_Academy_Awards", "honored_for", "The_Queen" ], [ "Academy_Award_for_Best_Documentary_Feature", "ceremony", "79th_Academy_Awards" ], [ "Academy_Award_for_Best_Documentary_Feature", "nominated_for", "Bowling_for_Columbine" ], [ "Academy_Award_for_Best_Documentary_Feature", "nominated_for", "Enron:_The_Smartest_Guys_in_the_Room-GB" ], [ "Academy_Award_for_Best_Documentary_Feature", "nominated_for", "Sicko" ], [ "Al_Gore", "acted_in", "Recount" ], [ "Al_Gore", "basic_title", "Vice_President-GB" ], [ "Al_Gore", "list", "Time_100" ], [ "Al_Gore", "profession", "Politician-GB" ], [ "An_Inconvenient_Truth", "award_honor_award", "Academy_Award_for_Best_Documentary_Feature" ], [ "An_Inconvenient_Truth", "award_winner", "Al_Gore" ], [ "An_Inconvenient_Truth", "award_winner", "Melissa_Etheridge" ], [ "An_Inconvenient_Truth", "person", "Al_Gore" ], [ "An_Inconvenient_Truth", "person", "George_H._W._Bush" ], [ "An_Inconvenient_Truth", "person", "George_W._Bush" ], [ "An_Inconvenient_Truth", "produced_by", "Al_Gore" ], [ "An_Inconvenient_Truth", "produced_by", "Lawrence_Bender" ], [ "An_Inconvenient_Truth", "written_by", "Al_Gore" ], [ "Berklee_College_of_Music", "colors", "Red" ], [ "Berklee_College_of_Music", "student", "Melissa_Etheridge" ], [ "Bowling_for_Columbine", "person", "George_H._W._Bush" ], [ "Bowling_for_Columbine", "person", "George_W._Bush" ], [ "Caucasian_race", "people", "Al_Gore" ], [ "Caucasian_race", "people", "George_H._W._Bush" ], [ "Caucasian_race", "people", "George_W._Bush" ], [ "Chris_Cornell", "award", "Grammy_Award_for_Best_Song_Written_for_a_Motion_Picture,_Television_or_Other_Visual_Media" ], [ "Dana_Carvey", "celebrities_impersonated", "Al_Gore" ], [ "Dana_Carvey", "celebrities_impersonated", "George_W._Bush" ], [ "Enron:_The_Smartest_Guys_in_the_Room-GB", "person", "George_W._Bush" ], [ "George_H._W._Bush", "basic_title", "Vice_President-GB" ], [ "George_H._W._Bush", "location", "Midland" ], [ "George_H._W._Bush", "profession", "Businessperson-GB" ], [ "George_H._W._Bush", "profession", "Politician-GB" ], [ "George_H._W._Bush", "religion", "Episcopal_Church" ], [ "George_W._Bush", "company", "Texas_Rangers" ], [ "George_W._Bush", "location", "Midland" ], [ "George_W._Bush", "location_of_ceremony", "Midland" ], [ "George_W._Bush", "profession", "Businessperson-GB" ], [ "George_W._Bush", "profession", "Politician-GB" ], [ "George_W._Bush", "religion", "Episcopal_Church" ], [ "Grammy_Award_for_Best_Song_Written_for_a_Motion_Picture,_Television_or_Other_Visual_Media", "ceremony", "35th_Annual_Grammy_Awards" ], [ "Grammy_Award_for_Best_Song_Written_for_a_Motion_Picture,_Television_or_Other_Visual_Media", "nominated_for", "An_Inconvenient_Truth" ], [ "Grammy_Award_for_Best_Song_Written_for_a_Motion_Picture,_Television_or_Other_Visual_Media", "nominated_for", "Casino_Royale" ], [ "Lawrence_Bender", "nominated_for", "An_Inconvenient_Truth" ], [ "Lawrence_Bender", "profession", "Businessperson-GB" ], [ "Melissa_Etheridge", "award", "Grammy_Award_for_Best_Song_Written_for_a_Motion_Picture,_Television_or_Other_Visual_Media" ], [ "Melissa_Etheridge", "nominated_for", "An_Inconvenient_Truth" ], [ "Phillips_Academy", "student", "George_H._W._Bush" ], [ "Phillips_Academy", "student", "George_W._Bush" ], [ "Recount", "person", "George_W._Bush" ], [ "Republican_Party", "party_politician", "George_H._W._Bush" ], [ "Republican_Party", "party_politician", "George_W._Bush" ], [ "Richard_Branson", "acted_in", "Casino_Royale" ], [ "Richard_Branson", "acted_in", "Superman_Returns" ], [ "Richard_Branson", "company", "Virgin_Group" ], [ "Richard_Branson", "list", "Time_100" ], [ "Richard_Branson", "organizations_founded", "Virgin_Group" ], [ "Richard_Branson", "profession", "Businessperson-GB" ], [ "Scotch-Irish_American", "people", "George_H._W._Bush" ], [ "Scotch-Irish_American", "people", "George_W._Bush" ], [ "Sicko", "person", "George_W._Bush" ], [ "Texas_Rangers", "colors", "Red" ], [ "Valenciennes_FC", "colors", "Red" ], [ "Yale_University", "student", "George_H._W._Bush" ], [ "Yale_University", "student", "George_W._Bush" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 1286, Bozeman 6363, Chandler 11558, Creighton_University 9954, Master_of_Fine_Arts 14256, Missoula 12289, Mixed-sex_education 10697, Montana 14246, Montana_State_University_-_Bozeman 209, Morrissey 6358, Mountain_Time_Zone-US 1109, Nebraska 9721, Political_philosophy 9284, RCA_Records 2820, Rough_Trade_Records 5925, University_of_Montana_-_Missoula 6898, Waylon_Jennings src, edge_attr, dst 1286, contains, 14246 1286, time_zones, 6358 6363, place, 6363 6363, time_zones, 6358 11558, campuses, 11558 11558, educational_institution, 11558 11558, school_type, 12289 11558, state_province_region, 1109 9954, institution, 14246 9954, institution, 5925 14256, contains, 5925 14256, time_zones, 6358 10697, contains, 14246 10697, contains, 5925 10697, time_zones, 6358 14246, campuses, 14246 14246, citytown, 1286 14246, educational_institution, 14246 14246, major_field_of_study, 9721 14246, school_type, 12289 14246, state_province_region, 10697 1109, contains, 11558 1109, time_zones, 6358 9284, artist, 209 9284, artist, 6898 2820, artist, 209 5925, campuses, 5925 5925, educational_institution, 5925 5925, major_field_of_study, 9721 5925, school_type, 12289 5925, state_province_region, 10697 6898, place_of_death, 6363 Question: In what context are Chandler, Mixed-sex_education, and Rough_Trade_Records connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Chandler", "Mixed-sex_education", "Rough_Trade_Records" ], "valid_edges": [ [ "Bozeman", "contains", "Montana_State_University_-_Bozeman" ], [ "Bozeman", "time_zones", "Mountain_Time_Zone-US" ], [ "Chandler", "place", "Chandler" ], [ "Chandler", "time_zones", "Mountain_Time_Zone-US" ], [ "Creighton_University", "campuses", "Creighton_University" ], [ "Creighton_University", "educational_institution", "Creighton_University" ], [ "Creighton_University", "school_type", "Mixed-sex_education" ], [ "Creighton_University", "state_province_region", "Nebraska" ], [ "Master_of_Fine_Arts", "institution", "Montana_State_University_-_Bozeman" ], [ "Master_of_Fine_Arts", "institution", "University_of_Montana_-_Missoula" ], [ "Missoula", "contains", "University_of_Montana_-_Missoula" ], [ "Missoula", "time_zones", "Mountain_Time_Zone-US" ], [ "Montana", "contains", "Montana_State_University_-_Bozeman" ], [ "Montana", "contains", "University_of_Montana_-_Missoula" ], [ "Montana", "time_zones", "Mountain_Time_Zone-US" ], [ "Montana_State_University_-_Bozeman", "campuses", "Montana_State_University_-_Bozeman" ], [ "Montana_State_University_-_Bozeman", "citytown", "Bozeman" ], [ "Montana_State_University_-_Bozeman", "educational_institution", "Montana_State_University_-_Bozeman" ], [ "Montana_State_University_-_Bozeman", "major_field_of_study", "Political_philosophy" ], [ "Montana_State_University_-_Bozeman", "school_type", "Mixed-sex_education" ], [ "Montana_State_University_-_Bozeman", "state_province_region", "Montana" ], [ "Nebraska", "contains", "Creighton_University" ], [ "Nebraska", "time_zones", "Mountain_Time_Zone-US" ], [ "RCA_Records", "artist", "Morrissey" ], [ "RCA_Records", "artist", "Waylon_Jennings" ], [ "Rough_Trade_Records", "artist", "Morrissey" ], [ "University_of_Montana_-_Missoula", "campuses", "University_of_Montana_-_Missoula" ], [ "University_of_Montana_-_Missoula", "educational_institution", "University_of_Montana_-_Missoula" ], [ "University_of_Montana_-_Missoula", "major_field_of_study", "Political_philosophy" ], [ "University_of_Montana_-_Missoula", "school_type", "Mixed-sex_education" ], [ "University_of_Montana_-_Missoula", "state_province_region", "Montana" ], [ "Waylon_Jennings", "place_of_death", "Chandler" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 1263, George_Miller 163, Happy_Feet 3144, My_Name_is_Khan 4794, Northern_Territory 3810, Queensland 11508, Road_movie 1438, Streaming_media 6091, The_Wizard_of_Oz 10998, Wild_at_Heart src, edge_attr, dst 1263, film, 163 1263, location, 3810 163, award_winner, 1263 163, film_distribution_medium, 1438 163, produced_by, 1263 3144, genre, 11508 4794, adjoins, 3810 6091, film_distribution_medium, 1438 6091, films, 10998 10998, genre, 11508 Question: For what reason are My_Name_is_Khan, Northern_Territory, and Streaming_media associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "My_Name_is_Khan", "Northern_Territory", "Streaming_media" ], "valid_edges": [ [ "George_Miller", "film", "Happy_Feet" ], [ "George_Miller", "location", "Queensland" ], [ "Happy_Feet", "award_winner", "George_Miller" ], [ "Happy_Feet", "film_distribution_medium", "Streaming_media" ], [ "Happy_Feet", "produced_by", "George_Miller" ], [ "My_Name_is_Khan", "genre", "Road_movie" ], [ "Northern_Territory", "adjoins", "Queensland" ], [ "The_Wizard_of_Oz", "film_distribution_medium", "Streaming_media" ], [ "The_Wizard_of_Oz", "films", "Wild_at_Heart" ], [ "Wild_at_Heart", "genre", "Road_movie" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 12884, American_English 10172, Camden_County 7749, Governor-GB 4136, Lebanese_American 3610, Mexican_American 5127, New_Jersey 3810, Queensland 10936, Townsville src, edge_attr, dst 7749, jurisdiction_of_office, 5127 7749, jurisdiction_of_office, 3810 4136, geographic_distribution, 5127 4136, languages_spoken, 12884 3610, languages_spoken, 12884 5127, contains, 10172 3810, contains, 10936 Question: In what context are Camden_County, Mexican_American, and Townsville connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Camden_County", "Mexican_American", "Townsville" ], "valid_edges": [ [ "Governor-GB", "jurisdiction_of_office", "New_Jersey" ], [ "Governor-GB", "jurisdiction_of_office", "Queensland" ], [ "Lebanese_American", "geographic_distribution", "New_Jersey" ], [ "Lebanese_American", "languages_spoken", "American_English" ], [ "Mexican_American", "languages_spoken", "American_English" ], [ "New_Jersey", "contains", "Camden_County" ], [ "Queensland", "contains", "Townsville" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 13045, 58th_Academy_Awards 12546, Back_to_the_Future_Part_II 6296, Cannes_Best_Actor_Award 13285, Flea 12662, Ken_Ralston 2440, Kiss_of_the_Spider_Woman 11325, Social_problem_film 10419, The_Grapes_of_Wrath 2338, The_Lost_Weekend src, edge_attr, dst 13045, award_winner, 12662 13045, honored_for, 2440 12546, award_winner, 12662 12546, crewmember, 12662 13285, acted_in, 12546 12662, nominated_for, 12546 2440, award_honor_award, 6296 10419, genre, 11325 2338, award_honor_award, 6296 2338, genre, 11325 Question: How are Flea, Kiss_of_the_Spider_Woman, and The_Grapes_of_Wrath related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Flea", "Kiss_of_the_Spider_Woman", "The_Grapes_of_Wrath" ], "valid_edges": [ [ "58th_Academy_Awards", "award_winner", "Ken_Ralston" ], [ "58th_Academy_Awards", "honored_for", "Kiss_of_the_Spider_Woman" ], [ "Back_to_the_Future_Part_II", "award_winner", "Ken_Ralston" ], [ "Back_to_the_Future_Part_II", "crewmember", "Ken_Ralston" ], [ "Flea", "acted_in", "Back_to_the_Future_Part_II" ], [ "Ken_Ralston", "nominated_for", "Back_to_the_Future_Part_II" ], [ "Kiss_of_the_Spider_Woman", "award_honor_award", "Cannes_Best_Actor_Award" ], [ "The_Grapes_of_Wrath", "genre", "Social_problem_film" ], [ "The_Lost_Weekend", "award_honor_award", "Cannes_Best_Actor_Award" ], [ "The_Lost_Weekend", "genre", "Social_problem_film" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 951, Enrico_Fermi 7291, Galileo_Galilei 8044, General_Hospital 3872, Greek_American 9739, John_Stamos 12487, Linus_Pauling 9872, Physicist 10508, Prostate_cancer 9017, Telly_Savalas 4096, University_of_Pisa src, edge_attr, dst 951, profession, 9872 7291, profession, 9872 8044, actor, 9739 3872, people, 9739 3872, people, 9017 9739, nominated_for, 8044 12487, profession, 9872 10508, people, 12487 10508, people, 9017 4096, campuses, 4096 4096, educational_institution, 4096 4096, student, 951 4096, student, 7291 Question: How are General_Hospital, Prostate_cancer, and University_of_Pisa related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "General_Hospital", "Prostate_cancer", "University_of_Pisa" ], "valid_edges": [ [ "Enrico_Fermi", "profession", "Physicist" ], [ "Galileo_Galilei", "profession", "Physicist" ], [ "General_Hospital", "actor", "John_Stamos" ], [ "Greek_American", "people", "John_Stamos" ], [ "Greek_American", "people", "Telly_Savalas" ], [ "John_Stamos", "nominated_for", "General_Hospital" ], [ "Linus_Pauling", "profession", "Physicist" ], [ "Prostate_cancer", "people", "Linus_Pauling" ], [ "Prostate_cancer", "people", "Telly_Savalas" ], [ "University_of_Pisa", "campuses", "University_of_Pisa" ], [ "University_of_Pisa", "educational_institution", "University_of_Pisa" ], [ "University_of_Pisa", "student", "Enrico_Fermi" ], [ "University_of_Pisa", "student", "Galileo_Galilei" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 2062, Aidan_Gillen 13488, Albert_Camus 70, Anne_Rice 1342, Anthony_Burgess 5139, C._S._Lewis 12938, Carnegie_Medal_in_Literature 11377, D._H._Lawrence 12614, Dante_Alighieri 7902, Donald_Sumpter 3521, Ezra_Pound 329, For_Your_Eyes_Only 460, French_people 9088, G._K._Chesterton 10135, George_Gordon_Byron 6102, Greek_Language 3671, Herman_Melville 7070, Jason_Momoa 5490, Jerome_Flynn 1652, John_Keats 11806, John_Milton 13505, Joseph_Conrad 12358, Julian_Glover 7915, Lena_Headey 10455, Oscar_Wilde 4504, Peter_Dinklage 1935, Philip_Pullman 10146, Poles 7734, Prometheus_Hall_of_Fame_Award 1556, Roman_Polanski 1272, Seamus_Heaney 5418, The_Chronicles_of_Narnia:_Prince_Caspian 13897, The_Chronicles_of_Narnia:_The_Voyage_of_the_Dawn_Treader 10728, William_Blake 12123, William_Butler_Yeats src, edge_attr, dst 2062, award_nominee, 7070 2062, award_nominee, 5490 2062, award_nominee, 12358 2062, award_nominee, 7915 2062, award_nominee, 4504 13488, influenced_by, 3671 70, influenced_by, 13488 70, influenced_by, 11806 1342, award, 7734 1342, influenced_by, 11377 1342, influenced_by, 12614 1342, influenced_by, 9088 1342, influenced_by, 11806 1342, influenced_by, 13505 5139, award, 7734 5139, influenced_by, 12614 5139, influenced_by, 9088 5139, influenced_by, 11806 5139, influenced_by, 10728 5139, influenced_by, 12123 12938, award_winner, 5139 12938, award_winner, 1935 11377, influenced_by, 3671 7902, award_nominee, 2062 7902, award_nominee, 7070 7902, award_nominee, 5490 7902, award_nominee, 7915 3521, influenced_by, 12614 3521, influenced_by, 11806 3521, influenced_by, 12123 329, language, 6102 460, people, 13488 460, people, 1556 9088, influenced_by, 10728 10135, influenced_by, 12614 10135, influenced_by, 11806 6102, split_to, 6102 3671, influenced_by, 11806 7070, award_nominee, 2062 7070, award_nominee, 5490 7070, award_nominee, 12358 7070, award_nominee, 7915 5490, award_nominee, 2062 5490, award_nominee, 7902 5490, award_nominee, 7070 5490, award_nominee, 12358 5490, award_nominee, 4504 1652, influenced_by, 11806 11806, influenced_by, 12614 11806, languages, 6102 12358, acted_in, 329 12358, award_nominee, 2062 12358, award_nominee, 7902 12358, award_nominee, 7070 12358, award_nominee, 5490 12358, award_nominee, 7915 12358, award_nominee, 4504 7915, award_nominee, 2062 7915, award_nominee, 5490 7915, award_nominee, 12358 7915, award_nominee, 4504 10455, influenced_by, 12614 10455, influenced_by, 1652 4504, acted_in, 5418 4504, award_nominee, 2062 4504, award_nominee, 7902 4504, award_nominee, 7070 4504, award_nominee, 5490 4504, award_nominee, 12358 4504, award_nominee, 7915 1935, award, 12938 1935, influenced_by, 11806 1935, influenced_by, 10728 10146, people, 13505 10146, people, 1556 7734, award_winner, 1342 1272, influenced_by, 12614 1272, influenced_by, 10135 1272, influenced_by, 1652 5418, story_by, 5139 13897, prequel, 5418 13897, story_by, 5139 10728, influenced_by, 12614 10728, influenced_by, 11806 12123, influenced_by, 1652 12123, influenced_by, 10728 Question: How are John_Milton, Peter_Dinklage, and Roman_Polanski related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "John_Milton", "Peter_Dinklage", "Roman_Polanski" ], "valid_edges": [ [ "Aidan_Gillen", "award_nominee", "Jason_Momoa" ], [ "Aidan_Gillen", "award_nominee", "Jerome_Flynn" ], [ "Aidan_Gillen", "award_nominee", "Julian_Glover" ], [ "Aidan_Gillen", "award_nominee", "Lena_Headey" ], [ "Aidan_Gillen", "award_nominee", "Peter_Dinklage" ], [ "Albert_Camus", "influenced_by", "Herman_Melville" ], [ "Anne_Rice", "influenced_by", "Albert_Camus" ], [ "Anne_Rice", "influenced_by", "John_Milton" ], [ "Anthony_Burgess", "award", "Prometheus_Hall_of_Fame_Award" ], [ "Anthony_Burgess", "influenced_by", "D._H._Lawrence" ], [ "Anthony_Burgess", "influenced_by", "Dante_Alighieri" ], [ "Anthony_Burgess", "influenced_by", "G._K._Chesterton" ], [ "Anthony_Burgess", "influenced_by", "John_Milton" ], [ "Anthony_Burgess", "influenced_by", "Joseph_Conrad" ], [ "C._S._Lewis", "award", "Prometheus_Hall_of_Fame_Award" ], [ "C._S._Lewis", "influenced_by", "Dante_Alighieri" ], [ "C._S._Lewis", "influenced_by", "G._K._Chesterton" ], [ "C._S._Lewis", "influenced_by", "John_Milton" ], [ "C._S._Lewis", "influenced_by", "William_Blake" ], [ "C._S._Lewis", "influenced_by", "William_Butler_Yeats" ], [ "Carnegie_Medal_in_Literature", "award_winner", "C._S._Lewis" ], [ "Carnegie_Medal_in_Literature", "award_winner", "Philip_Pullman" ], [ "D._H._Lawrence", "influenced_by", "Herman_Melville" ], [ "Donald_Sumpter", "award_nominee", "Aidan_Gillen" ], [ "Donald_Sumpter", "award_nominee", "Jason_Momoa" ], [ "Donald_Sumpter", "award_nominee", "Jerome_Flynn" ], [ "Donald_Sumpter", "award_nominee", "Lena_Headey" ], [ "Ezra_Pound", "influenced_by", "Dante_Alighieri" ], [ "Ezra_Pound", "influenced_by", "John_Milton" ], [ "Ezra_Pound", "influenced_by", "William_Butler_Yeats" ], [ "For_Your_Eyes_Only", "language", "Greek_Language" ], [ "French_people", "people", "Albert_Camus" ], [ "French_people", "people", "Roman_Polanski" ], [ "G._K._Chesterton", "influenced_by", "William_Blake" ], [ "George_Gordon_Byron", "influenced_by", "Dante_Alighieri" ], [ "George_Gordon_Byron", "influenced_by", "John_Milton" ], [ "Greek_Language", "split_to", "Greek_Language" ], [ "Herman_Melville", "influenced_by", "John_Milton" ], [ "Jason_Momoa", "award_nominee", "Aidan_Gillen" ], [ "Jason_Momoa", "award_nominee", "Jerome_Flynn" ], [ "Jason_Momoa", "award_nominee", "Julian_Glover" ], [ "Jason_Momoa", "award_nominee", "Lena_Headey" ], [ "Jerome_Flynn", "award_nominee", "Aidan_Gillen" ], [ "Jerome_Flynn", "award_nominee", "Donald_Sumpter" ], [ "Jerome_Flynn", "award_nominee", "Jason_Momoa" ], [ "Jerome_Flynn", "award_nominee", "Julian_Glover" ], [ "Jerome_Flynn", "award_nominee", "Peter_Dinklage" ], [ "John_Keats", "influenced_by", "John_Milton" ], [ "John_Milton", "influenced_by", "Dante_Alighieri" ], [ "John_Milton", "languages", "Greek_Language" ], [ "Julian_Glover", "acted_in", "For_Your_Eyes_Only" ], [ "Julian_Glover", "award_nominee", "Aidan_Gillen" ], [ "Julian_Glover", "award_nominee", "Donald_Sumpter" ], [ "Julian_Glover", "award_nominee", "Jason_Momoa" ], [ "Julian_Glover", "award_nominee", "Jerome_Flynn" ], [ "Julian_Glover", "award_nominee", "Lena_Headey" ], [ "Julian_Glover", "award_nominee", "Peter_Dinklage" ], [ "Lena_Headey", "award_nominee", "Aidan_Gillen" ], [ "Lena_Headey", "award_nominee", "Jerome_Flynn" ], [ "Lena_Headey", "award_nominee", "Julian_Glover" ], [ "Lena_Headey", "award_nominee", "Peter_Dinklage" ], [ "Oscar_Wilde", "influenced_by", "Dante_Alighieri" ], [ "Oscar_Wilde", "influenced_by", "John_Keats" ], [ "Peter_Dinklage", "acted_in", "The_Chronicles_of_Narnia:_Prince_Caspian" ], [ "Peter_Dinklage", "award_nominee", "Aidan_Gillen" ], [ "Peter_Dinklage", "award_nominee", "Donald_Sumpter" ], [ "Peter_Dinklage", "award_nominee", "Jason_Momoa" ], [ "Peter_Dinklage", "award_nominee", "Jerome_Flynn" ], [ "Peter_Dinklage", "award_nominee", "Julian_Glover" ], [ "Peter_Dinklage", "award_nominee", "Lena_Headey" ], [ "Philip_Pullman", "award", "Carnegie_Medal_in_Literature" ], [ "Philip_Pullman", "influenced_by", "John_Milton" ], [ "Philip_Pullman", "influenced_by", "William_Blake" ], [ "Poles", "people", "Joseph_Conrad" ], [ "Poles", "people", "Roman_Polanski" ], [ "Prometheus_Hall_of_Fame_Award", "award_winner", "Anthony_Burgess" ], [ "Seamus_Heaney", "influenced_by", "Dante_Alighieri" ], [ "Seamus_Heaney", "influenced_by", "George_Gordon_Byron" ], [ "Seamus_Heaney", "influenced_by", "John_Keats" ], [ "The_Chronicles_of_Narnia:_Prince_Caspian", "story_by", "C._S._Lewis" ], [ "The_Chronicles_of_Narnia:_The_Voyage_of_the_Dawn_Treader", "prequel", "The_Chronicles_of_Narnia:_Prince_Caspian" ], [ "The_Chronicles_of_Narnia:_The_Voyage_of_the_Dawn_Treader", "story_by", "C._S._Lewis" ], [ "William_Blake", "influenced_by", "Dante_Alighieri" ], [ "William_Blake", "influenced_by", "John_Milton" ], [ "William_Butler_Yeats", "influenced_by", "John_Keats" ], [ "William_Butler_Yeats", "influenced_by", "William_Blake" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 6776, Berlin_International_Film_Festival 4784, Cambodia 9838, Eurasia 4188, Guernsey 7391, Heaven's_Gate 2753, Russell_Metty 14209, Sam_Waterston 8948, Spartacus 2884, The_Killing_Fields src, edge_attr, dst 4784, films, 2884 9838, contains, 4784 9838, contains, 4188 7391, film_regional_debut_venue, 6776 2753, nominated_for, 8948 14209, acted_in, 7391 14209, acted_in, 2884 14209, nominated_for, 2884 8948, award_winner, 2753 8948, cinematography, 2753 8948, film_regional_debut_venue, 6776 Question: How are Guernsey, Russell_Metty, and Sam_Waterston related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Guernsey", "Russell_Metty", "Sam_Waterston" ], "valid_edges": [ [ "Cambodia", "films", "The_Killing_Fields" ], [ "Eurasia", "contains", "Cambodia" ], [ "Eurasia", "contains", "Guernsey" ], [ "Heaven's_Gate", "film_regional_debut_venue", "Berlin_International_Film_Festival" ], [ "Russell_Metty", "nominated_for", "Spartacus" ], [ "Sam_Waterston", "acted_in", "Heaven's_Gate" ], [ "Sam_Waterston", "acted_in", "The_Killing_Fields" ], [ "Sam_Waterston", "nominated_for", "The_Killing_Fields" ], [ "Spartacus", "award_winner", "Russell_Metty" ], [ "Spartacus", "cinematography", "Russell_Metty" ], [ "Spartacus", "film_regional_debut_venue", "Berlin_International_Film_Festival" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 1174, Bradley_University 7321, Cardiff_University 10994, Columbia_blue 12955, Louisiana_Tech_University 12289, Mixed-sex_education 14246, Montana_State_University_-_Bozeman 13864, Northwestern_State_University 13921, Public_university 3971, Sonoma_State_University 1573, Southern_University_and_A&M_College 1909, University_of_Dhaka 9831, University_of_Louisiana_at_Lafayette 7723, University_of_Rhode_Island src, edge_attr, dst 1174, campuses, 1174 1174, school_type, 12289 7321, educational_institution, 7321 7321, school_type, 13921 12955, campuses, 12955 12955, educational_institution, 12955 12955, school_type, 12289 12955, school_type, 13921 14246, campuses, 14246 14246, educational_institution, 14246 14246, school_type, 12289 14246, school_type, 13921 13864, campuses, 13864 13864, educational_institution, 13864 13864, school_type, 12289 13864, school_type, 13921 3971, campuses, 3971 3971, colors, 10994 3971, educational_institution, 3971 3971, school_type, 13921 1573, campuses, 1573 1573, colors, 10994 1573, educational_institution, 1573 1573, school_type, 12289 1573, school_type, 13921 1909, campuses, 1909 1909, school_type, 12289 1909, school_type, 13921 9831, campuses, 9831 9831, educational_institution, 9831 9831, school_type, 12289 9831, school_type, 13921 7723, campuses, 7723 7723, colors, 10994 7723, school_type, 13921 Question: In what context are Bradley_University, Cardiff_University, and Public_university connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Bradley_University", "Cardiff_University", "Public_university" ], "valid_edges": [ [ "Bradley_University", "campuses", "Bradley_University" ], [ "Bradley_University", "school_type", "Mixed-sex_education" ], [ "Cardiff_University", "educational_institution", "Cardiff_University" ], [ "Cardiff_University", "school_type", "Public_university" ], [ "Louisiana_Tech_University", "campuses", "Louisiana_Tech_University" ], [ "Louisiana_Tech_University", "educational_institution", "Louisiana_Tech_University" ], [ "Louisiana_Tech_University", "school_type", "Mixed-sex_education" ], [ "Louisiana_Tech_University", "school_type", "Public_university" ], [ "Montana_State_University_-_Bozeman", "campuses", "Montana_State_University_-_Bozeman" ], [ "Montana_State_University_-_Bozeman", "educational_institution", "Montana_State_University_-_Bozeman" ], [ "Montana_State_University_-_Bozeman", "school_type", "Mixed-sex_education" ], [ "Montana_State_University_-_Bozeman", "school_type", "Public_university" ], [ "Northwestern_State_University", "campuses", "Northwestern_State_University" ], [ "Northwestern_State_University", "educational_institution", "Northwestern_State_University" ], [ "Northwestern_State_University", "school_type", "Mixed-sex_education" ], [ "Northwestern_State_University", "school_type", "Public_university" ], [ "Sonoma_State_University", "campuses", "Sonoma_State_University" ], [ "Sonoma_State_University", "colors", "Columbia_blue" ], [ "Sonoma_State_University", "educational_institution", "Sonoma_State_University" ], [ "Sonoma_State_University", "school_type", "Public_university" ], [ "Southern_University_and_A&M_College", "campuses", "Southern_University_and_A&M_College" ], [ "Southern_University_and_A&M_College", "colors", "Columbia_blue" ], [ "Southern_University_and_A&M_College", "educational_institution", "Southern_University_and_A&M_College" ], [ "Southern_University_and_A&M_College", "school_type", "Mixed-sex_education" ], [ "Southern_University_and_A&M_College", "school_type", "Public_university" ], [ "University_of_Dhaka", "campuses", "University_of_Dhaka" ], [ "University_of_Dhaka", "school_type", "Mixed-sex_education" ], [ "University_of_Dhaka", "school_type", "Public_university" ], [ "University_of_Louisiana_at_Lafayette", "campuses", "University_of_Louisiana_at_Lafayette" ], [ "University_of_Louisiana_at_Lafayette", "educational_institution", "University_of_Louisiana_at_Lafayette" ], [ "University_of_Louisiana_at_Lafayette", "school_type", "Mixed-sex_education" ], [ "University_of_Louisiana_at_Lafayette", "school_type", "Public_university" ], [ "University_of_Rhode_Island", "campuses", "University_of_Rhode_Island" ], [ "University_of_Rhode_Island", "colors", "Columbia_blue" ], [ "University_of_Rhode_Island", "school_type", "Public_university" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 2051, 28th_Golden_Globe_Awards 1516, 37th_Golden_Globe_Awards 2272, 43rd_Academy_Awards 12007, 55th_Golden_Globe_Awards 7237, 57th_Golden_Globe_Awards 1810, 59th_Golden_Globe_Awards 11256, 60th_Golden_Globe_Awards 5751, 62nd_Golden_Globe_Awards 7426, 63rd_Golden_Globe_Awards 11784, 64th_Golden_Globe_Awards 13826, 66th_Golden_Globe_Awards 1155, 67th_Golden_Globe_Awards 7963, 69th_Golden_Globe_Awards 2973, Airport 11323, Ava_Gardner 5887, Caucasian_race 12972, Cloris_Leachman 9231, Colorado 356, Dorothy_Malone 9464, Dr._Strangelove_or:_How_I_Learned_to_Stop_Worrying_and_Love_the_Bomb 9888, Duran_Duran 714, Frank_Sinatra 9850, George_C._Scott 2436, Golden_Globe_Award_for_Best_Foreign_Language_Film 729, Helen_Hayes 10097, Hillary_Rodham_Clinton 7763, James_Arness 13117, James_Earl_Jones 13986, James_K._Polk 8206, John_F._Kennedy 8532, John_Mills 2206, Karl_Malden 9661, Kelly_Clarkson 9073, Lawyer 5642, Love_Story 10414, MASH 1372, Margaret_Thatcher 6547, Mary_Tyler_Moore 7662, Methodism 9440, Miss_Golden_Globe 3141, Nelson_Mandela 6684, New_York_Film_Critics_Circle_Award_for_Best_Actor 10853, New_York_Film_Critics_Circle_Award_for_Best_Actress 10713, Patton 13828, Peter_Graves 1980, Presidential_Medal_of_Freedom 6207, Ryan's_Daughter 8017, Ryan_O'Neal 5838, Screen_Actors_Guild_Life_Achievement_Award 7906, Sony_Music_Entertainment 3608, The_Iron_Lady 2861, The_Mary_Tyler_Moore_Show 9606, War_and_Peace 7725, William_McKinley 8947, Women_in_Love src, edge_attr, dst 2051, award_winner, 714 2051, award_winner, 9850 2051, award_winner, 13117 2051, award_winner, 8532 2051, award_winner, 6547 2051, award_winner, 13828 2051, honored_for, 2973 2051, honored_for, 5642 2051, honored_for, 10414 2051, honored_for, 10713 2051, honored_for, 6207 2051, honored_for, 2861 2051, honored_for, 8947 2272, award_winner, 9850 2272, award_winner, 8532 2272, honored_for, 2973 2272, honored_for, 5642 2272, honored_for, 10414 2272, honored_for, 10713 2272, honored_for, 6207 2272, honored_for, 8947 12007, award_winner, 9850 7963, honored_for, 3608 2973, award_winner, 729 11323, participant, 9850 5887, people, 12972 5887, people, 9850 5887, people, 13986 5887, people, 8206 5887, people, 2206 5887, people, 9661 5887, people, 1372 5887, people, 8017 12972, nominated_for, 2861 9231, religion, 7662 356, participant, 714 356, religion, 7662 714, spouse, 11323 9850, acted_in, 9464 9850, acted_in, 10713 9850, nominated_for, 10713 9850, participant, 11323 2436, ceremony, 2051 2436, ceremony, 1516 2436, ceremony, 12007 2436, ceremony, 7237 2436, ceremony, 1810 2436, ceremony, 11256 2436, ceremony, 5751 2436, ceremony, 7426 2436, ceremony, 11784 2436, ceremony, 13826 2436, ceremony, 1155 2436, ceremony, 7963 2436, nominated_for, 9606 729, acted_in, 2973 729, award_nominee, 13117 729, award_winner, 13117 729, nominated_for, 2973 10097, profession, 9073 10097, religion, 7662 7763, religion, 7662 7763, sibling, 13828 13117, acted_in, 9464 13117, award_nominee, 729 13117, award_winner, 729 13117, location, 9231 13986, profession, 9073 13986, religion, 7662 8532, acted_in, 9606 8532, nominated_for, 6207 2206, acted_in, 10713 1372, films, 3608 1372, profession, 9073 1372, religion, 7662 9440, ceremony, 2051 9440, ceremony, 1516 9440, ceremony, 12007 9440, ceremony, 7237 9440, ceremony, 1810 9440, ceremony, 11256 9440, ceremony, 5751 9440, ceremony, 7426 9440, ceremony, 11784 9440, ceremony, 13826 9440, ceremony, 1155 3141, profession, 9073 3141, religion, 7662 6684, award_winner, 9850 10713, award_honor_award, 6684 10713, award_winner, 9850 13828, religion, 7662 13828, sibling, 7763 1980, award_winner, 8206 1980, award_winner, 1372 1980, award_winner, 3141 6207, award_winner, 8532 8017, acted_in, 5642 5838, award_winner, 714 5838, award_winner, 13117 5838, award_winner, 6547 7906, artist, 9888 7906, artist, 9661 3608, award_honor_award, 10853 2861, actor, 12972 2861, actor, 6547 7725, profession, 9073 7725, religion, 7662 8947, award_honor_award, 10853 Question: How are 28th_Golden_Globe_Awards, Duran_Duran, and Margaret_Thatcher related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "28th_Golden_Globe_Awards", "Duran_Duran", "Margaret_Thatcher" ], "valid_edges": [ [ "28th_Golden_Globe_Awards", "award_winner", "Frank_Sinatra" ], [ "28th_Golden_Globe_Awards", "award_winner", "George_C._Scott" ], [ "28th_Golden_Globe_Awards", "award_winner", "James_Earl_Jones" ], [ "28th_Golden_Globe_Awards", "award_winner", "John_Mills" ], [ "28th_Golden_Globe_Awards", "award_winner", "Mary_Tyler_Moore" ], [ "28th_Golden_Globe_Awards", "award_winner", "Peter_Graves" ], [ "28th_Golden_Globe_Awards", "honored_for", "Airport" ], [ "28th_Golden_Globe_Awards", "honored_for", "Love_Story" ], [ "28th_Golden_Globe_Awards", "honored_for", "MASH" ], [ "28th_Golden_Globe_Awards", "honored_for", "Patton" ], [ "28th_Golden_Globe_Awards", "honored_for", "Ryan's_Daughter" ], [ "28th_Golden_Globe_Awards", "honored_for", "The_Mary_Tyler_Moore_Show" ], [ "28th_Golden_Globe_Awards", "honored_for", "Women_in_Love" ], [ "43rd_Academy_Awards", "award_winner", "George_C._Scott" ], [ "43rd_Academy_Awards", "award_winner", "John_Mills" ], [ "43rd_Academy_Awards", "honored_for", "Airport" ], [ "43rd_Academy_Awards", "honored_for", "Love_Story" ], [ "43rd_Academy_Awards", "honored_for", "MASH" ], [ "43rd_Academy_Awards", "honored_for", "Patton" ], [ "43rd_Academy_Awards", "honored_for", "Ryan's_Daughter" ], [ "43rd_Academy_Awards", "honored_for", "Women_in_Love" ], [ "55th_Golden_Globe_Awards", "award_winner", "George_C._Scott" ], [ "69th_Golden_Globe_Awards", "honored_for", "The_Iron_Lady" ], [ "Airport", "award_winner", "Helen_Hayes" ], [ "Ava_Gardner", "participant", "George_C._Scott" ], [ "Caucasian_race", "people", "Cloris_Leachman" ], [ "Caucasian_race", "people", "George_C._Scott" ], [ "Caucasian_race", "people", "James_K._Polk" ], [ "Caucasian_race", "people", "John_F._Kennedy" ], [ "Caucasian_race", "people", "Karl_Malden" ], [ "Caucasian_race", "people", "Kelly_Clarkson" ], [ "Caucasian_race", "people", "Margaret_Thatcher" ], [ "Caucasian_race", "people", "Ryan_O'Neal" ], [ "Cloris_Leachman", "nominated_for", "The_Mary_Tyler_Moore_Show" ], [ "Colorado", "religion", "Methodism" ], [ "Dorothy_Malone", "participant", "Frank_Sinatra" ], [ "Dorothy_Malone", "religion", "Methodism" ], [ "Frank_Sinatra", "spouse", "Ava_Gardner" ], [ "George_C._Scott", "acted_in", "Dr._Strangelove_or:_How_I_Learned_to_Stop_Worrying_and_Love_the_Bomb" ], [ "George_C._Scott", "acted_in", "Patton" ], [ "George_C._Scott", "nominated_for", "Patton" ], [ "George_C._Scott", "participant", "Ava_Gardner" ], [ "Golden_Globe_Award_for_Best_Foreign_Language_Film", "ceremony", "28th_Golden_Globe_Awards" ], [ "Golden_Globe_Award_for_Best_Foreign_Language_Film", "ceremony", "37th_Golden_Globe_Awards" ], [ "Golden_Globe_Award_for_Best_Foreign_Language_Film", "ceremony", "55th_Golden_Globe_Awards" ], [ "Golden_Globe_Award_for_Best_Foreign_Language_Film", "ceremony", "57th_Golden_Globe_Awards" ], [ "Golden_Globe_Award_for_Best_Foreign_Language_Film", "ceremony", "59th_Golden_Globe_Awards" ], [ "Golden_Globe_Award_for_Best_Foreign_Language_Film", "ceremony", "60th_Golden_Globe_Awards" ], [ "Golden_Globe_Award_for_Best_Foreign_Language_Film", "ceremony", "62nd_Golden_Globe_Awards" ], [ "Golden_Globe_Award_for_Best_Foreign_Language_Film", "ceremony", "63rd_Golden_Globe_Awards" ], [ "Golden_Globe_Award_for_Best_Foreign_Language_Film", "ceremony", "64th_Golden_Globe_Awards" ], [ "Golden_Globe_Award_for_Best_Foreign_Language_Film", "ceremony", "66th_Golden_Globe_Awards" ], [ "Golden_Globe_Award_for_Best_Foreign_Language_Film", "ceremony", "67th_Golden_Globe_Awards" ], [ "Golden_Globe_Award_for_Best_Foreign_Language_Film", "ceremony", "69th_Golden_Globe_Awards" ], [ "Golden_Globe_Award_for_Best_Foreign_Language_Film", "nominated_for", "War_and_Peace" ], [ "Helen_Hayes", "acted_in", "Airport" ], [ "Helen_Hayes", "award_nominee", "James_Earl_Jones" ], [ "Helen_Hayes", "award_winner", "James_Earl_Jones" ], [ "Helen_Hayes", "nominated_for", "Airport" ], [ "Hillary_Rodham_Clinton", "profession", "Lawyer" ], [ "Hillary_Rodham_Clinton", "religion", "Methodism" ], [ "James_Arness", "religion", "Methodism" ], [ "James_Arness", "sibling", "Peter_Graves" ], [ "James_Earl_Jones", "acted_in", "Dr._Strangelove_or:_How_I_Learned_to_Stop_Worrying_and_Love_the_Bomb" ], [ "James_Earl_Jones", "award_nominee", "Helen_Hayes" ], [ "James_Earl_Jones", "award_winner", "Helen_Hayes" ], [ "James_Earl_Jones", "location", "Colorado" ], [ "James_K._Polk", "profession", "Lawyer" ], [ "James_K._Polk", "religion", "Methodism" ], [ "John_Mills", "acted_in", "War_and_Peace" ], [ "John_Mills", "nominated_for", "Ryan's_Daughter" ], [ "Karl_Malden", "acted_in", "Patton" ], [ "Margaret_Thatcher", "films", "The_Iron_Lady" ], [ "Margaret_Thatcher", "profession", "Lawyer" ], [ "Margaret_Thatcher", "religion", "Methodism" ], [ "Miss_Golden_Globe", "ceremony", "28th_Golden_Globe_Awards" ], [ "Miss_Golden_Globe", "ceremony", "37th_Golden_Globe_Awards" ], [ "Miss_Golden_Globe", "ceremony", "55th_Golden_Globe_Awards" ], [ "Miss_Golden_Globe", "ceremony", "57th_Golden_Globe_Awards" ], [ "Miss_Golden_Globe", "ceremony", "59th_Golden_Globe_Awards" ], [ "Miss_Golden_Globe", "ceremony", "60th_Golden_Globe_Awards" ], [ "Miss_Golden_Globe", "ceremony", "62nd_Golden_Globe_Awards" ], [ "Miss_Golden_Globe", "ceremony", "63rd_Golden_Globe_Awards" ], [ "Miss_Golden_Globe", "ceremony", "64th_Golden_Globe_Awards" ], [ "Miss_Golden_Globe", "ceremony", "66th_Golden_Globe_Awards" ], [ "Miss_Golden_Globe", "ceremony", "67th_Golden_Globe_Awards" ], [ "Nelson_Mandela", "profession", "Lawyer" ], [ "Nelson_Mandela", "religion", "Methodism" ], [ "New_York_Film_Critics_Circle_Award_for_Best_Actor", "award_winner", "George_C._Scott" ], [ "Patton", "award_honor_award", "New_York_Film_Critics_Circle_Award_for_Best_Actor" ], [ "Patton", "award_winner", "George_C._Scott" ], [ "Peter_Graves", "religion", "Methodism" ], [ "Peter_Graves", "sibling", "James_Arness" ], [ "Presidential_Medal_of_Freedom", "award_winner", "John_F._Kennedy" ], [ "Presidential_Medal_of_Freedom", "award_winner", "Margaret_Thatcher" ], [ "Presidential_Medal_of_Freedom", "award_winner", "Nelson_Mandela" ], [ "Ryan's_Daughter", "award_winner", "John_Mills" ], [ "Ryan_O'Neal", "acted_in", "Love_Story" ], [ "Screen_Actors_Guild_Life_Achievement_Award", "award_winner", "Frank_Sinatra" ], [ "Screen_Actors_Guild_Life_Achievement_Award", "award_winner", "James_Earl_Jones" ], [ "Screen_Actors_Guild_Life_Achievement_Award", "award_winner", "Mary_Tyler_Moore" ], [ "Sony_Music_Entertainment", "artist", "Duran_Duran" ], [ "Sony_Music_Entertainment", "artist", "Kelly_Clarkson" ], [ "The_Iron_Lady", "award_honor_award", "New_York_Film_Critics_Circle_Award_for_Best_Actress" ], [ "The_Mary_Tyler_Moore_Show", "actor", "Cloris_Leachman" ], [ "The_Mary_Tyler_Moore_Show", "actor", "Mary_Tyler_Moore" ], [ "William_McKinley", "profession", "Lawyer" ], [ "William_McKinley", "religion", "Methodism" ], [ "Women_in_Love", "award_honor_award", "New_York_Film_Critics_Circle_Award_for_Best_Actress" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 9745, Calista_Flockhart 10832, James_LeGros 7125, Jay_Leno 953, Kevin_Corrigan 9780, New_Rochelle 10067, Rockland_County 11512, The_Birdcage 11150, Unstoppable 10737, Westchester_County src, edge_attr, dst 9745, acted_in, 11512 9745, award_nominee, 10832 10832, award_nominee, 9745 10832, award_nominee, 953 7125, location, 9780 7125, place_of_birth, 9780 953, acted_in, 11150 953, award_nominee, 10832 9780, county, 10737 10067, adjoins, 10737 11512, person, 7125 10737, contains, 9780 Question: For what reason are Rockland_County, The_Birdcage, and Unstoppable associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Rockland_County", "The_Birdcage", "Unstoppable" ], "valid_edges": [ [ "Calista_Flockhart", "acted_in", "The_Birdcage" ], [ "Calista_Flockhart", "award_nominee", "James_LeGros" ], [ "James_LeGros", "award_nominee", "Calista_Flockhart" ], [ "James_LeGros", "award_nominee", "Kevin_Corrigan" ], [ "Jay_Leno", "location", "New_Rochelle" ], [ "Jay_Leno", "place_of_birth", "New_Rochelle" ], [ "Kevin_Corrigan", "acted_in", "Unstoppable" ], [ "Kevin_Corrigan", "award_nominee", "James_LeGros" ], [ "New_Rochelle", "county", "Westchester_County" ], [ "Rockland_County", "adjoins", "Westchester_County" ], [ "The_Birdcage", "person", "Jay_Leno" ], [ "Westchester_County", "contains", "New_Rochelle" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 8424, 3000_Miles_to_Graceland 5613, Anchorman:_The_Legend_of_Ron_Burgundy 3259, Appalachian_Mountains 12711, Battlefield_Earth 8361, Bernie_Mac 12525, Bewitched 11370, Bicentennial_Man 8868, Boston 8230, Brad_Pitt 8510, Broadcast_Film_Critics_Association_Award_for_Best_Cast 7279, Bruce_Berman 4137, Bruce_Cohen 11760, Cameron_Diaz 10567, Caper_story 4465, Carl_Reiner 2940, Casey_Affleck 2876, Christian_Slater 3654, Dean_Devlin 6341, Don_Cheadle 6595, DreamWorks 400, Eclipse 12092, Eddie_Izzard 6154, Eli_Roth 2421, Elie_Samaha 7538, Ellen_Barkin 3792, Elliott_Gould 6491, FilmFlex 8009, Film_adaptation 4764, G.I._Joe:_The_Rise_of_Cobra 11493, George_Lucas 13444, Gone_Baby_Gone 5084, Graphic_Designer-GB 4778, Guy_Ritchie 11231, Hawaii 9970, Heist_film 10755, Ice_Age 9263, Italian_Language 12013, Jennifer_Aniston 642, Jerry_Weintraub 1061, Jon_Favreau 6218, Julia_Roberts 6030, Julianne_Moore 4910, Kevin_Costner 10345, Las_Vegas 10255, MTV_Movie_Award_for_Best_On-Screen_Duo 12889, Marlon_Wayans 9240, Massachusetts 5711, Matt_Damon 11928, Men_in_Black 2146, Michael_Crichton 282, Mike_Myers 6309, Miramax_Films 4780, New_Line_Cinema 5755, New_Moon 3352, Newfoundland_and_Labrador 8798, Nicolas_Cage 9871, Ocean's_Eleven 3339, Ocean's_Thirteen 8807, Ocean's_Twelve 5364, Pearl_Harbor 2673, Psycho 6605, Pulp_Fiction 12556, Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel 5442, Razzie_Award_for_Worst_Screenplay 6758, Resident_Evil:_Extinction 657, Satellite_Award_for_Best_Animated_or_Mixed_Media_Feature 10510, Screen_Gems 1898, Snatch 5605, Sony_Pictures_Entertainment 414, Stephen_Root 12650, Steven_Soderbergh 1438, Streaming_media 6610, Summit_Entertainment 8891, Super_35 7052, Swept_Away 12627, The_Avengers 14011, The_Dukes_of_Hazzard 7644, The_Expendables 11375, The_Ladykillers 2425, The_Lord_of_the_Rings:_The_Two_Towers 5121, The_Lost_World:_Jurassic_Park 9938, The_Men_Who_Stare_at_Goats 5430, The_Newton_Boys 6007, Tom_Cruise 7660, Topher_Grace 2084, Touchstone_Pictures 2564, TriStar_Pictures 10564, Village_Roadshow_Pictures 4536, Vince_Vaughn 13832, Visual_Effects_Art_Director 1759, Walt_Disney_Pictures 5693, Woody_Harrelson src, edge_attr, dst 8424, featured_film_locations, 10345 8424, film_crew_role, 5084 8424, film_format, 8891 8424, genre, 10567 8424, genre, 9970 8424, produced_by, 2421 5613, film_distribution_medium, 1438 12711, award_honor_award, 5442 12711, genre, 8009 8361, acted_in, 3339 8361, acted_in, 8807 8361, nominated_for, 9871 8361, nominated_for, 8807 11370, film_crew_role, 13832 11370, genre, 8009 8230, acted_in, 9871 8230, acted_in, 3339 8230, acted_in, 8807 8230, acted_in, 1898 8230, award_nominee, 6154 8230, award_winner, 6154 8230, nominated_for, 9871 8230, nominated_for, 3339 8230, nominated_for, 8807 8230, nominated_for, 1898 8510, award_winner, 6154 8510, nominated_for, 9871 8510, nominated_for, 8807 4137, award, 12556 11760, acted_in, 5430 4465, acted_in, 9871 4465, acted_in, 3339 4465, acted_in, 8807 4465, nominated_for, 8807 2940, acted_in, 3339 2940, acted_in, 8807 2940, nominated_for, 9871 2940, nominated_for, 8807 2876, acted_in, 8424 2876, acted_in, 5430 3654, award, 12556 3654, award, 5442 6341, acted_in, 9871 6341, acted_in, 3339 6341, award_nominee, 6030 6341, nominated_for, 9871 6341, nominated_for, 8807 6595, award, 12556 6595, award, 657 12092, acted_in, 3339 12092, acted_in, 8807 6154, acted_in, 5121 6154, award_nominee, 8230 6154, award_nominee, 282 6154, award_winner, 8230 6154, location, 9240 2421, award, 12556 2421, nominated_for, 8424 7538, acted_in, 3339 7538, participant, 6030 3792, acted_in, 9871 3792, acted_in, 3339 3792, acted_in, 8807 3792, nominated_for, 9871 3792, nominated_for, 8807 6491, film, 5613 6491, film, 4764 6491, film, 13444 6491, film, 10755 6491, film, 6605 6491, film, 6758 6491, film, 7644 6491, film, 5121 6491, film, 9938 4764, film_distribution_medium, 1438 11493, award, 12556 11493, award, 5442 13444, film_distribution_medium, 1438 13444, genre, 8009 4778, acted_in, 1898 4778, award, 5442 4778, film, 1898 11231, vacationer, 11760 11231, vacationer, 12013 11231, vacationer, 6218 9970, titles, 8424 9970, titles, 9871 9970, titles, 3339 9970, titles, 8807 9970, titles, 1898 9970, titles, 11375 9970, titles, 5430 10755, film_distribution_medium, 1438 12013, acted_in, 5430 12013, award_nominee, 4536 642, award, 12556 1061, acted_in, 5430 1061, participant, 4536 6218, acted_in, 9871 6218, acted_in, 8807 6218, nominated_for, 9871 6218, nominated_for, 8807 6030, acted_in, 2673 6030, acted_in, 5121 6030, award_nominee, 6341 6030, award_nominee, 6007 6030, award_winner, 6007 6030, location, 8868 4910, acted_in, 8424 4910, nominated_for, 8424 10255, award_winner, 4536 10255, nominated_for, 9871 12889, acted_in, 11375 12889, award, 5442 9240, partially_contains, 3259 5711, acted_in, 9871 5711, acted_in, 3339 5711, acted_in, 8807 5711, nominated_for, 9871 11928, film_crew_role, 13832 2146, location, 8868 282, award, 5442 282, award_nominee, 6154 282, award_winner, 6154 6309, award, 12556 6309, award, 657 4780, award, 12556 4780, film, 5430 5755, film_crew_role, 13832 3352, partially_contains, 3259 8798, award, 12556 8798, location_of_ceremony, 11231 9871, cinematography, 12650 9871, executive_produced_by, 7279 9871, film_format, 8891 9871, genre, 9970 9871, language, 9263 9871, produced_by, 642 9871, production_companies, 10564 3339, award_winner, 8230 3339, executive_produced_by, 7279 3339, featured_film_locations, 10345 3339, film_crew_role, 5084 3339, genre, 10567 3339, prequel, 8807 3339, produced_by, 642 3339, production_companies, 10564 8807, cinematography, 12650 8807, executive_produced_by, 7279 8807, film_crew_role, 5084 8807, film_format, 8891 8807, genre, 10567 8807, genre, 9970 8807, language, 9263 8807, prequel, 9871 8807, produced_by, 642 8807, production_companies, 10564 5364, featured_film_locations, 11231 5364, film_crew_role, 13832 2673, award_honor_award, 12556 6605, film_distribution_medium, 1438 12556, award_winner, 3654 12556, award_winner, 11493 12556, award_winner, 642 12556, award_winner, 4910 12556, award_winner, 12889 12556, award_winner, 4780 12556, award_winner, 10510 12556, award_winner, 2564 12556, award_winner, 10564 12556, nominated_for, 12525 12556, nominated_for, 400 12556, nominated_for, 4764 12556, nominated_for, 5755 12556, nominated_for, 5364 12556, nominated_for, 2673 12556, nominated_for, 7052 12556, nominated_for, 12627 12556, nominated_for, 14011 12556, nominated_for, 5121 5442, award_winner, 4137 5442, award_winner, 11493 5442, award_winner, 282 5442, nominated_for, 8424 5442, nominated_for, 12525 5442, nominated_for, 400 5442, nominated_for, 4764 5442, nominated_for, 5755 5442, nominated_for, 5364 5442, nominated_for, 7052 5442, nominated_for, 12627 5442, nominated_for, 14011 5442, nominated_for, 5121 6758, film_distribution_medium, 1438 657, award_winner, 6595 657, award_winner, 4780 657, award_winner, 5605 657, award_winner, 1759 657, nominated_for, 10755 657, nominated_for, 11928 657, nominated_for, 5121 10510, award, 12556 10510, film, 1898 1898, written_by, 4778 5605, award, 12556 5605, award, 657 414, acted_in, 11375 414, award_nominee, 4536 12650, film, 9871 12650, film, 3339 12650, film, 8807 12650, nominated_for, 9871 6610, award, 12556 7052, award_honor_award, 12556 12627, award_honor_award, 12556 7644, film_crew_role, 13832 7644, film_distribution_medium, 1438 11375, production_companies, 2084 2425, film_crew_role, 13832 2425, genre, 8009 5121, featured_film_locations, 11231 5121, film_crew_role, 13832 5121, film_distribution_medium, 1438 5121, genre, 8009 5121, story_by, 2146 9938, film_distribution_medium, 1438 9938, genre, 8009 5430, genre, 9970 5430, produced_by, 642 5430, production_companies, 6610 6007, award, 12556 6007, award_nominee, 6030 6007, award_winner, 6030 7660, acted_in, 9871 7660, acted_in, 8807 2084, award, 12556 2084, award, 657 2084, film, 11375 2084, film, 5430 2564, award, 12556 2564, award, 657 2564, film, 5430 4536, acted_in, 5613 4536, acted_in, 2673 4536, acted_in, 5121 4536, award, 10255 4536, award_nominee, 12013 4536, award_nominee, 414 4536, celebrity, 12013 4536, participant, 12013 4536, participant, 1061 1759, award, 12556 1759, award, 657 5693, acted_in, 5430 5693, location, 11231 Question: For what reason are Heist_film, Newfoundland_and_Labrador, and The_Lost_World:_Jurassic_Park associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Heist_film", "Newfoundland_and_Labrador", "The_Lost_World:_Jurassic_Park" ], "valid_edges": [ [ "3000_Miles_to_Graceland", "featured_film_locations", "Las_Vegas" ], [ "3000_Miles_to_Graceland", "film_crew_role", "Graphic_Designer-GB" ], [ "3000_Miles_to_Graceland", "film_format", "Super_35" ], [ "3000_Miles_to_Graceland", "genre", "Caper_story" ], [ "3000_Miles_to_Graceland", "genre", "Heist_film" ], [ "3000_Miles_to_Graceland", "produced_by", "Elie_Samaha" ], [ "Anchorman:_The_Legend_of_Ron_Burgundy", "film_distribution_medium", "Streaming_media" ], [ "Battlefield_Earth", "award_honor_award", "Razzie_Award_for_Worst_Screenplay" ], [ "Battlefield_Earth", "genre", "Film_adaptation" ], [ "Bernie_Mac", "acted_in", "Ocean's_Thirteen" ], [ "Bernie_Mac", "acted_in", "Ocean's_Twelve" ], [ "Bernie_Mac", "nominated_for", "Ocean's_Eleven" ], [ "Bernie_Mac", "nominated_for", "Ocean's_Twelve" ], [ "Bicentennial_Man", "film_crew_role", "Visual_Effects_Art_Director" ], [ "Bicentennial_Man", "genre", "Film_adaptation" ], [ "Brad_Pitt", "acted_in", "Ocean's_Eleven" ], [ "Brad_Pitt", "acted_in", "Ocean's_Thirteen" ], [ "Brad_Pitt", "acted_in", "Ocean's_Twelve" ], [ "Brad_Pitt", "acted_in", "Snatch" ], [ "Brad_Pitt", "award_nominee", "Eli_Roth" ], [ "Brad_Pitt", "award_winner", "Eli_Roth" ], [ "Brad_Pitt", "nominated_for", "Ocean's_Eleven" ], [ "Brad_Pitt", "nominated_for", "Ocean's_Thirteen" ], [ "Brad_Pitt", "nominated_for", "Ocean's_Twelve" ], [ "Brad_Pitt", "nominated_for", "Snatch" ], [ "Broadcast_Film_Critics_Association_Award_for_Best_Cast", "award_winner", "Eli_Roth" ], [ "Broadcast_Film_Critics_Association_Award_for_Best_Cast", "nominated_for", "Ocean's_Eleven" ], [ "Broadcast_Film_Critics_Association_Award_for_Best_Cast", "nominated_for", "Ocean's_Twelve" ], [ "Bruce_Cohen", "award", "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel" ], [ "Cameron_Diaz", "acted_in", "The_Newton_Boys" ], [ "Carl_Reiner", "acted_in", "Ocean's_Eleven" ], [ "Carl_Reiner", "acted_in", "Ocean's_Thirteen" ], [ "Carl_Reiner", "acted_in", "Ocean's_Twelve" ], [ "Carl_Reiner", "nominated_for", "Ocean's_Twelve" ], [ "Casey_Affleck", "acted_in", "Ocean's_Thirteen" ], [ "Casey_Affleck", "acted_in", "Ocean's_Twelve" ], [ "Casey_Affleck", "nominated_for", "Ocean's_Eleven" ], [ "Casey_Affleck", "nominated_for", "Ocean's_Twelve" ], [ "Christian_Slater", "acted_in", "3000_Miles_to_Graceland" ], [ "Christian_Slater", "acted_in", "The_Newton_Boys" ], [ "Dean_Devlin", "award", "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel" ], [ "Dean_Devlin", "award", "Razzie_Award_for_Worst_Screenplay" ], [ "Don_Cheadle", "acted_in", "Ocean's_Eleven" ], [ "Don_Cheadle", "acted_in", "Ocean's_Thirteen" ], [ "Don_Cheadle", "award_nominee", "Julianne_Moore" ], [ "Don_Cheadle", "nominated_for", "Ocean's_Eleven" ], [ "Don_Cheadle", "nominated_for", "Ocean's_Twelve" ], [ "DreamWorks", "award", "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel" ], [ "DreamWorks", "award", "Satellite_Award_for_Best_Animated_or_Mixed_Media_Feature" ], [ "Eddie_Izzard", "acted_in", "Ocean's_Thirteen" ], [ "Eddie_Izzard", "acted_in", "Ocean's_Twelve" ], [ "Eli_Roth", "acted_in", "The_Lost_World:_Jurassic_Park" ], [ "Eli_Roth", "award_nominee", "Brad_Pitt" ], [ "Eli_Roth", "award_nominee", "Mike_Myers" ], [ "Eli_Roth", "award_winner", "Brad_Pitt" ], [ "Eli_Roth", "location", "Massachusetts" ], [ "Elie_Samaha", "award", "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel" ], [ "Elie_Samaha", "nominated_for", "3000_Miles_to_Graceland" ], [ "Ellen_Barkin", "acted_in", "Ocean's_Thirteen" ], [ "Ellen_Barkin", "participant", "Julianne_Moore" ], [ "Elliott_Gould", "acted_in", "Ocean's_Eleven" ], [ "Elliott_Gould", "acted_in", "Ocean's_Thirteen" ], [ "Elliott_Gould", "acted_in", "Ocean's_Twelve" ], [ "Elliott_Gould", "nominated_for", "Ocean's_Eleven" ], [ "Elliott_Gould", "nominated_for", "Ocean's_Twelve" ], [ "FilmFlex", "film", "Anchorman:_The_Legend_of_Ron_Burgundy" ], [ "FilmFlex", "film", "G.I._Joe:_The_Rise_of_Cobra" ], [ "FilmFlex", "film", "Gone_Baby_Gone" ], [ "FilmFlex", "film", "Ice_Age" ], [ "FilmFlex", "film", "Pulp_Fiction" ], [ "FilmFlex", "film", "Resident_Evil:_Extinction" ], [ "FilmFlex", "film", "The_Expendables" ], [ "FilmFlex", "film", "The_Lost_World:_Jurassic_Park" ], [ "FilmFlex", "film", "The_Men_Who_Stare_at_Goats" ], [ "G.I._Joe:_The_Rise_of_Cobra", "film_distribution_medium", "Streaming_media" ], [ "George_Lucas", "award", "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel" ], [ "George_Lucas", "award", "Razzie_Award_for_Worst_Screenplay" ], [ "Gone_Baby_Gone", "film_distribution_medium", "Streaming_media" ], [ "Gone_Baby_Gone", "genre", "Film_adaptation" ], [ "Guy_Ritchie", "acted_in", "Snatch" ], [ "Guy_Ritchie", "award", "Razzie_Award_for_Worst_Screenplay" ], [ "Guy_Ritchie", "film", "Snatch" ], [ "Hawaii", "vacationer", "Cameron_Diaz" ], [ "Hawaii", "vacationer", "Jennifer_Aniston" ], [ "Hawaii", "vacationer", "Julia_Roberts" ], [ "Heist_film", "titles", "3000_Miles_to_Graceland" ], [ "Heist_film", "titles", "Ocean's_Eleven" ], [ "Heist_film", "titles", "Ocean's_Thirteen" ], [ "Heist_film", "titles", "Ocean's_Twelve" ], [ "Heist_film", "titles", "Snatch" ], [ "Heist_film", "titles", "The_Ladykillers" ], [ "Heist_film", "titles", "The_Newton_Boys" ], [ "Ice_Age", "film_distribution_medium", "Streaming_media" ], [ "Jennifer_Aniston", "acted_in", "The_Newton_Boys" ], [ "Jennifer_Aniston", "award_nominee", "Vince_Vaughn" ], [ "Jerry_Weintraub", "award", "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel" ], [ "Jon_Favreau", "acted_in", "The_Newton_Boys" ], [ "Jon_Favreau", "participant", "Vince_Vaughn" ], [ "Julia_Roberts", "acted_in", "Ocean's_Eleven" ], [ "Julia_Roberts", "acted_in", "Ocean's_Twelve" ], [ "Julia_Roberts", "nominated_for", "Ocean's_Eleven" ], [ "Julia_Roberts", "nominated_for", "Ocean's_Twelve" ], [ "Julianne_Moore", "acted_in", "Psycho" ], [ "Julianne_Moore", "acted_in", "The_Lost_World:_Jurassic_Park" ], [ "Julianne_Moore", "award_nominee", "Don_Cheadle" ], [ "Julianne_Moore", "award_nominee", "Tom_Cruise" ], [ "Julianne_Moore", "award_winner", "Tom_Cruise" ], [ "Julianne_Moore", "location", "Boston" ], [ "Kevin_Costner", "acted_in", "3000_Miles_to_Graceland" ], [ "Kevin_Costner", "nominated_for", "3000_Miles_to_Graceland" ], [ "MTV_Movie_Award_for_Best_On-Screen_Duo", "award_winner", "Vince_Vaughn" ], [ "MTV_Movie_Award_for_Best_On-Screen_Duo", "nominated_for", "Ocean's_Eleven" ], [ "Marlon_Wayans", "acted_in", "The_Ladykillers" ], [ "Marlon_Wayans", "award", "Razzie_Award_for_Worst_Screenplay" ], [ "Massachusetts", "partially_contains", "Appalachian_Mountains" ], [ "Matt_Damon", "acted_in", "Ocean's_Eleven" ], [ "Matt_Damon", "acted_in", "Ocean's_Thirteen" ], [ "Matt_Damon", "acted_in", "Ocean's_Twelve" ], [ "Matt_Damon", "nominated_for", "Ocean's_Eleven" ], [ "Men_in_Black", "film_crew_role", "Visual_Effects_Art_Director" ], [ "Michael_Crichton", "location", "Boston" ], [ "Mike_Myers", "award", "Razzie_Award_for_Worst_Screenplay" ], [ "Mike_Myers", "award_nominee", "Eli_Roth" ], [ "Mike_Myers", "award_winner", "Eli_Roth" ], [ "Miramax_Films", "award", "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel" ], [ "Miramax_Films", "award", "Satellite_Award_for_Best_Animated_or_Mixed_Media_Feature" ], [ "New_Line_Cinema", "award", "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel" ], [ "New_Line_Cinema", "film", "The_Newton_Boys" ], [ "New_Moon", "film_crew_role", "Visual_Effects_Art_Director" ], [ "Newfoundland_and_Labrador", "partially_contains", "Appalachian_Mountains" ], [ "Nicolas_Cage", "award", "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel" ], [ "Nicolas_Cage", "location_of_ceremony", "Hawaii" ], [ "Ocean's_Eleven", "cinematography", "Steven_Soderbergh" ], [ "Ocean's_Eleven", "executive_produced_by", "Bruce_Berman" ], [ "Ocean's_Eleven", "film_format", "Super_35" ], [ "Ocean's_Eleven", "genre", "Heist_film" ], [ "Ocean's_Eleven", "language", "Italian_Language" ], [ "Ocean's_Eleven", "produced_by", "Jerry_Weintraub" ], [ "Ocean's_Eleven", "production_companies", "Village_Roadshow_Pictures" ], [ "Ocean's_Thirteen", "award_winner", "Brad_Pitt" ], [ "Ocean's_Thirteen", "executive_produced_by", "Bruce_Berman" ], [ "Ocean's_Thirteen", "featured_film_locations", "Las_Vegas" ], [ "Ocean's_Thirteen", "film_crew_role", "Graphic_Designer-GB" ], [ "Ocean's_Thirteen", "genre", "Caper_story" ], [ "Ocean's_Thirteen", "prequel", "Ocean's_Twelve" ], [ "Ocean's_Thirteen", "produced_by", "Jerry_Weintraub" ], [ "Ocean's_Thirteen", "production_companies", "Village_Roadshow_Pictures" ], [ "Ocean's_Twelve", "cinematography", "Steven_Soderbergh" ], [ "Ocean's_Twelve", "executive_produced_by", "Bruce_Berman" ], [ "Ocean's_Twelve", "film_crew_role", "Graphic_Designer-GB" ], [ "Ocean's_Twelve", "film_format", "Super_35" ], [ "Ocean's_Twelve", "genre", "Caper_story" ], [ "Ocean's_Twelve", "genre", "Heist_film" ], [ "Ocean's_Twelve", "language", "Italian_Language" ], [ "Ocean's_Twelve", "prequel", "Ocean's_Eleven" ], [ "Ocean's_Twelve", "produced_by", "Jerry_Weintraub" ], [ "Ocean's_Twelve", "production_companies", "Village_Roadshow_Pictures" ], [ "Pearl_Harbor", "featured_film_locations", "Hawaii" ], [ "Pearl_Harbor", "film_crew_role", "Visual_Effects_Art_Director" ], [ "Psycho", "award_honor_award", "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel" ], [ "Pulp_Fiction", "film_distribution_medium", "Streaming_media" ], [ "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel", "award_winner", "Dean_Devlin" ], [ "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel", "award_winner", "George_Lucas" ], [ "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel", "award_winner", "Jerry_Weintraub" ], [ "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel", "award_winner", "Kevin_Costner" ], [ "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel", "award_winner", "Marlon_Wayans" ], [ "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel", "award_winner", "New_Line_Cinema" ], [ "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel", "award_winner", "Screen_Gems" ], [ "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel", "award_winner", "TriStar_Pictures" ], [ "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel", "award_winner", "Village_Roadshow_Pictures" ], [ "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel", "nominated_for", "Bewitched" ], [ "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel", "nominated_for", "Eclipse" ], [ "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel", "nominated_for", "G.I._Joe:_The_Rise_of_Cobra" ], [ "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel", "nominated_for", "New_Moon" ], [ "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel", "nominated_for", "Pearl_Harbor" ], [ "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel", "nominated_for", "Psycho" ], [ "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel", "nominated_for", "Swept_Away" ], [ "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel", "nominated_for", "The_Avengers" ], [ "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel", "nominated_for", "The_Dukes_of_Hazzard" ], [ "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel", "nominated_for", "The_Lost_World:_Jurassic_Park" ], [ "Razzie_Award_for_Worst_Screenplay", "award_winner", "Bruce_Cohen" ], [ "Razzie_Award_for_Worst_Screenplay", "award_winner", "George_Lucas" ], [ "Razzie_Award_for_Worst_Screenplay", "award_winner", "Mike_Myers" ], [ "Razzie_Award_for_Worst_Screenplay", "nominated_for", "3000_Miles_to_Graceland" ], [ "Razzie_Award_for_Worst_Screenplay", "nominated_for", "Bewitched" ], [ "Razzie_Award_for_Worst_Screenplay", "nominated_for", "Eclipse" ], [ "Razzie_Award_for_Worst_Screenplay", "nominated_for", "G.I._Joe:_The_Rise_of_Cobra" ], [ "Razzie_Award_for_Worst_Screenplay", "nominated_for", "New_Moon" ], [ "Razzie_Award_for_Worst_Screenplay", "nominated_for", "Pearl_Harbor" ], [ "Razzie_Award_for_Worst_Screenplay", "nominated_for", "Swept_Away" ], [ "Razzie_Award_for_Worst_Screenplay", "nominated_for", "The_Avengers" ], [ "Razzie_Award_for_Worst_Screenplay", "nominated_for", "The_Dukes_of_Hazzard" ], [ "Razzie_Award_for_Worst_Screenplay", "nominated_for", "The_Lost_World:_Jurassic_Park" ], [ "Resident_Evil:_Extinction", "film_distribution_medium", "Streaming_media" ], [ "Satellite_Award_for_Best_Animated_or_Mixed_Media_Feature", "award_winner", "DreamWorks" ], [ "Satellite_Award_for_Best_Animated_or_Mixed_Media_Feature", "award_winner", "New_Line_Cinema" ], [ "Satellite_Award_for_Best_Animated_or_Mixed_Media_Feature", "award_winner", "Sony_Pictures_Entertainment" ], [ "Satellite_Award_for_Best_Animated_or_Mixed_Media_Feature", "award_winner", "Walt_Disney_Pictures" ], [ "Satellite_Award_for_Best_Animated_or_Mixed_Media_Feature", "nominated_for", "Ice_Age" ], [ "Satellite_Award_for_Best_Animated_or_Mixed_Media_Feature", "nominated_for", "Men_in_Black" ], [ "Satellite_Award_for_Best_Animated_or_Mixed_Media_Feature", "nominated_for", "The_Lost_World:_Jurassic_Park" ], [ "Screen_Gems", "award", "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel" ], [ "Screen_Gems", "film", "Snatch" ], [ "Snatch", "written_by", "Guy_Ritchie" ], [ "Sony_Pictures_Entertainment", "award", "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel" ], [ "Sony_Pictures_Entertainment", "award", "Satellite_Award_for_Best_Animated_or_Mixed_Media_Feature" ], [ "Stephen_Root", "acted_in", "The_Ladykillers" ], [ "Stephen_Root", "award_nominee", "Vince_Vaughn" ], [ "Steven_Soderbergh", "film", "Ocean's_Eleven" ], [ "Steven_Soderbergh", "film", "Ocean's_Thirteen" ], [ "Steven_Soderbergh", "film", "Ocean's_Twelve" ], [ "Steven_Soderbergh", "nominated_for", "Ocean's_Eleven" ], [ "Summit_Entertainment", "award", "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel" ], [ "Swept_Away", "award_honor_award", "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel" ], [ "The_Avengers", "award_honor_award", "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel" ], [ "The_Expendables", "film_crew_role", "Visual_Effects_Art_Director" ], [ "The_Expendables", "film_distribution_medium", "Streaming_media" ], [ "The_Ladykillers", "production_companies", "Touchstone_Pictures" ], [ "The_Lord_of_the_Rings:_The_Two_Towers", "film_crew_role", "Visual_Effects_Art_Director" ], [ "The_Lord_of_the_Rings:_The_Two_Towers", "genre", "Film_adaptation" ], [ "The_Lost_World:_Jurassic_Park", "featured_film_locations", "Hawaii" ], [ "The_Lost_World:_Jurassic_Park", "film_crew_role", "Visual_Effects_Art_Director" ], [ "The_Lost_World:_Jurassic_Park", "film_distribution_medium", "Streaming_media" ], [ "The_Lost_World:_Jurassic_Park", "genre", "Film_adaptation" ], [ "The_Lost_World:_Jurassic_Park", "story_by", "Michael_Crichton" ], [ "The_Men_Who_Stare_at_Goats", "film_distribution_medium", "Streaming_media" ], [ "The_Men_Who_Stare_at_Goats", "genre", "Film_adaptation" ], [ "The_Newton_Boys", "genre", "Heist_film" ], [ "The_Newton_Boys", "produced_by", "Jerry_Weintraub" ], [ "The_Newton_Boys", "production_companies", "Summit_Entertainment" ], [ "Tom_Cruise", "award", "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel" ], [ "Tom_Cruise", "award_nominee", "Julianne_Moore" ], [ "Tom_Cruise", "award_winner", "Julianne_Moore" ], [ "Topher_Grace", "acted_in", "Ocean's_Eleven" ], [ "Topher_Grace", "acted_in", "Ocean's_Twelve" ], [ "Touchstone_Pictures", "award", "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel" ], [ "Touchstone_Pictures", "award", "Satellite_Award_for_Best_Animated_or_Mixed_Media_Feature" ], [ "Touchstone_Pictures", "film", "The_Ladykillers" ], [ "Touchstone_Pictures", "film", "The_Newton_Boys" ], [ "TriStar_Pictures", "award", "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel" ], [ "TriStar_Pictures", "award", "Satellite_Award_for_Best_Animated_or_Mixed_Media_Feature" ], [ "TriStar_Pictures", "film", "The_Newton_Boys" ], [ "Vince_Vaughn", "acted_in", "Anchorman:_The_Legend_of_Ron_Burgundy" ], [ "Vince_Vaughn", "acted_in", "Psycho" ], [ "Vince_Vaughn", "acted_in", "The_Lost_World:_Jurassic_Park" ], [ "Vince_Vaughn", "award", "MTV_Movie_Award_for_Best_On-Screen_Duo" ], [ "Vince_Vaughn", "award_nominee", "Jennifer_Aniston" ], [ "Vince_Vaughn", "award_nominee", "Stephen_Root" ], [ "Vince_Vaughn", "celebrity", "Jennifer_Aniston" ], [ "Vince_Vaughn", "participant", "Jennifer_Aniston" ], [ "Vince_Vaughn", "participant", "Jon_Favreau" ], [ "Walt_Disney_Pictures", "award", "Razzie_Award_for_Worst_Prequel,_Remake,_Rip-off_or_Sequel" ], [ "Walt_Disney_Pictures", "award", "Satellite_Award_for_Best_Animated_or_Mixed_Media_Feature" ], [ "Woody_Harrelson", "acted_in", "The_Newton_Boys" ], [ "Woody_Harrelson", "location", "Hawaii" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 12408, 1980_NCAA_Men's_Division_I_Basketball_Tournament 372, 1983_NCAA_Men's_Division_I_Basketball_Tournament 7897, 1984_NCAA_Men's_Division_I_Basketball_Tournament 7367, 1985_NCAA_Men's_Division_I_Basketball_Tournament 13877, 1986_NCAA_Men's_Division_I_Basketball_Tournament 5362, 1987_NCAA_Men's_Division_I_Basketball_Tournament 4213, 1988_NCAA_Men's_Division_I_Basketball_Tournament 861, 1989_NCAA_Men's_Division_I_Basketball_Tournament 11871, 1990_NCAA_Men's_Division_I_Basketball_Tournament 12244, 1991_NCAA_Men's_Division_I_Basketball_Tournament 9176, 1992_NCAA_Men's_Division_I_Basketball_Tournament 9678, 1993_NCAA_Men's_Division_I_Basketball_Tournament 13044, 1994_NCAA_Men's_Division_I_Basketball_Tournament 10440, 1995_NCAA_Men's_Division_I_Basketball_Tournament 7370, 1996_NCAA_Men's_Division_I_Basketball_Tournament 13039, 1997_NCAA_Men's_Division_I_Basketball_Tournament 11069, 1998_NCAA_Men's_Division_I_Basketball_Tournament 1526, 1999_NCAA_Men's_Division_I_Basketball_Tournament 10556, 2000_NCAA_Men's_Division_I_Basketball_Tournament 5107, 2001_NCAA_Men's_Division_I_Basketball_Tournament 10642, 2002_NCAA_Men's_Division_I_Basketball_Tournament 231, 2003_NCAA_Men's_Division_I_Basketball_Tournament 10390, 2004_NCAA_Men's_Division_I_Basketball_Tournament 5279, 2005_NCAA_Men's_Division_I_Basketball_Tournament 10695, 2006_NCAA_Men's_Division_I_Basketball_Tournament 12520, 2007_NCAA_Men's_Division_I_Basketball_Tournament 5830, 2008_NCAA_Men's_Division_I_Basketball_Tournament 4352, 2009_NCAA_Men's_Division_I_Basketball_Tournament 11707, 2010_NCAA_Men's_Division_I_Basketball_Tournament 9357, 37th_Academy_Awards 5703, Arizona_Wildcats_men's_basketball 10805, Cincinnati 3260, College_basketball 10786, Connecticut_Huskies_men's_basketball 13358, Crimson 6448, Duke_Blue_Devils_men's_basketball 13983, Forward-center 11545, Grammy_Lifetime_Achievement_Award 7384, Illinois_Fighting_Illini_men's_basketball 9635, Indiana_Hoosiers_men's_basketball 4275, James_Levine 5465, Jessye_Norman 5786, Julie_Andrews 13115, Kansas_Jayhawks_Men's_Basketball 1637, Kentucky_Wildcats_men's_basketball 8277, LSU_Tigers_men's_basketball 3168, NCAA_Men's_Division_I_Basketball_Championship 9789, NC_State_Wolfpack_men's_basketball 7877, North_Carolina_Tar_Heels_men's_basketball 11161, Oklahoma_Sooners_men's_basketball 12506, Pittsburgh_Panthers_men's_basketball 12626, Swingman 7954, Syracuse_Orange_men's_basketball 4587, Texas_Longhorns_men's_basketball 11342, UCLA_Bruins_men's_basketball 7888, Villanova_Wildcats_men's_basketball src, edge_attr, dst 12408, instance_of_recurring_event, 3168 12408, ncaa_seed_team, 6448 12408, ncaa_seed_team, 9635 12408, ncaa_seed_team, 1637 12408, ncaa_seed_team, 8277 12408, ncaa_seed_team, 9789 12408, ncaa_seed_team, 7877 12408, 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what context are 2006_NCAA_Men's_Division_I_Basketball_Tournament, 37th_Academy_Awards, and James_Levine connected? Your output must be ONLY the PATH block.
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"College_basketball" ], [ "Pittsburgh_Panthers_men's_basketball", "position", "Swingman" ], [ "Pittsburgh_Panthers_men's_basketball", "sport", "College_basketball" ], [ "Swingman", "team", "LSU_Tigers_men's_basketball" ], [ "Swingman", "team", "Pittsburgh_Panthers_men's_basketball" ], [ "Syracuse_Orange_men's_basketball", "sport", "College_basketball" ], [ "Texas_Longhorns_men's_basketball", "position", "Forward-center" ], [ "UCLA_Bruins_men's_basketball", "position", "Forward-center" ], [ "UCLA_Bruins_men's_basketball", "sport", "College_basketball" ], [ "Villanova_Wildcats_men's_basketball", "position", "Forward-center" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 3889, Abigail_Breslin 4158, Alternative_dance 11752, Beastie_Boys 5419, Coldplay 465, Dakota_Fanning 3788, Dark_wave 4801, Depeche_Mode 4892, Electroclash 14081, Electronic_rock 2578, Experimental_music 1629, Fatboy_Slim 3097, Foo_Fighters 6413, Garbage 14168, Gary_Numan 4307, Gorillaz 5408, Grammy_Award_for_Best_Alternative_Music_Album 6477, Grammy_Award_for_Best_Dance_Recording 7168, Green_Day 9580, Kraftwerk 4205, Krautrock 13522, Linkin_Park 2714, MTV_Video_Music_Award_for_Best_Group_Video 5260, Moby 209, Morrissey 11686, Mute_Records 4438, My_Sister's_Keeper 9979, New_Order 5882, Nine_Inch_Nails 846, Panic!_at_the_Disco 1592, Radiohead 1266, Reprise_Records 4991, Sire_Records 2795, Stephen_Dillane 12820, Talking_Heads 10159, The_B-52's 11613, The_Black_Eyed_Peas 2992, The_Chemical_Brothers 8614, The_Cure 7600, The_Prodigy 8187, The_Smashing_Pumpkins 11904, The_White_Stripes 12433, Thom_Yorke 10206, University_of_Exeter 11299, Wilco 3435, ZZ_Top src, edge_attr, dst 3889, acted_in, 4438 3889, participant, 465 4158, artists, 4801 4158, artists, 4307 4158, artists, 9979 4158, artists, 846 4158, artists, 2992 4158, artists, 7600 11752, award, 5408 11752, award, 2714 5419, award, 2714 465, award_nominee, 2795 465, participant, 3889 3788, artists, 4801 3788, artists, 14168 4801, award, 5408 4801, award, 6477 4801, award, 2714 4801, influenced_by, 9580 4892, parent_genre, 4158 4892, parent_genre, 14081 14081, artists, 5419 14081, artists, 4801 14081, artists, 6413 14081, artists, 4307 14081, artists, 13522 14081, artists, 5260 14081, artists, 9979 14081, artists, 5882 14081, artists, 7600 14081, artists, 12433 14081, artists, 3435 2578, artists, 9580 2578, artists, 12433 1629, award, 5408 1629, award, 6477 3097, award, 5408 3097, award, 2714 6413, award, 2714 14168, influenced_by, 9580 5408, award_winner, 11752 5408, award_winner, 5419 5408, award_winner, 7168 5408, award_winner, 1592 5408, award_winner, 11904 5408, award_winner, 11299 6477, award_winner, 2992 7168, award, 5408 7168, award, 2714 4205, artists, 9580 4205, parent_genre, 14081 13522, award, 2714 2714, award_winner, 3097 2714, award_winner, 7168 2714, award_winner, 12820 2714, award_winner, 10159 2714, award_winner, 3435 5260, award, 5408 5260, award, 6477 209, award, 5408 11686, artist, 4801 11686, artist, 9580 11686, artist, 5260 11686, artist, 7600 4438, award_winner, 3889 9979, award, 6477 5882, award, 5408 846, award, 2714 1592, award, 5408 1592, award, 2714 1266, artist, 4801 1266, artist, 7168 1266, artist, 209 1266, artist, 9979 1266, artist, 10159 1266, artist, 8187 1266, artist, 11299 4991, artist, 4801 4991, artist, 209 4991, artist, 12820 4991, artist, 8614 2795, award_nominee, 465 12820, award, 2714 10159, award, 5408 10159, award, 2714 11613, award, 6477 11613, award, 2714 2992, award, 5408 2992, award, 6477 8614, award, 5408 7600, award, 5408 8187, award, 5408 11904, award, 2714 12433, award, 5408 12433, group, 1592 10206, educational_institution, 10206 10206, student, 2795 10206, student, 12433 11299, award, 5408 Question: For what reason are Depeche_Mode, My_Sister's_Keeper, and University_of_Exeter associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Depeche_Mode", "My_Sister's_Keeper", "University_of_Exeter" ], "valid_edges": [ [ "Abigail_Breslin", "acted_in", "My_Sister's_Keeper" ], [ "Abigail_Breslin", "participant", "Dakota_Fanning" ], [ "Alternative_dance", "artists", "Depeche_Mode" ], [ "Alternative_dance", "artists", "Gorillaz" ], [ "Alternative_dance", "artists", "New_Order" ], [ "Alternative_dance", "artists", "Panic!_at_the_Disco" ], [ "Alternative_dance", "artists", "The_Chemical_Brothers" ], [ "Alternative_dance", "artists", "The_Prodigy" ], [ "Beastie_Boys", "award", "Grammy_Award_for_Best_Alternative_Music_Album" ], [ "Beastie_Boys", "award", "MTV_Video_Music_Award_for_Best_Group_Video" ], [ "Coldplay", "award", "MTV_Video_Music_Award_for_Best_Group_Video" ], [ "Dakota_Fanning", "award_nominee", "Stephen_Dillane" ], [ "Dakota_Fanning", "participant", "Abigail_Breslin" ], [ "Dark_wave", "artists", "Depeche_Mode" ], [ "Dark_wave", "artists", "Gary_Numan" ], [ "Depeche_Mode", "award", "Grammy_Award_for_Best_Alternative_Music_Album" ], [ "Depeche_Mode", "award", "Grammy_Award_for_Best_Dance_Recording" ], [ "Depeche_Mode", "award", "MTV_Video_Music_Award_for_Best_Group_Video" ], [ "Depeche_Mode", "influenced_by", "Kraftwerk" ], [ "Electroclash", "parent_genre", "Alternative_dance" ], [ "Electroclash", "parent_genre", "Electronic_rock" ], [ "Electronic_rock", "artists", "Coldplay" ], [ "Electronic_rock", "artists", "Depeche_Mode" ], [ "Electronic_rock", "artists", "Garbage" ], [ "Electronic_rock", "artists", "Gorillaz" ], [ "Electronic_rock", "artists", "Linkin_Park" ], [ "Electronic_rock", "artists", "Moby" ], [ "Electronic_rock", "artists", "New_Order" ], [ "Electronic_rock", "artists", "Nine_Inch_Nails" ], [ "Electronic_rock", "artists", "The_Prodigy" ], [ "Electronic_rock", "artists", "Thom_Yorke" ], [ "Electronic_rock", "artists", "ZZ_Top" ], [ "Experimental_music", "artists", "Kraftwerk" ], [ "Experimental_music", "artists", "Thom_Yorke" ], [ "Fatboy_Slim", "award", "Grammy_Award_for_Best_Alternative_Music_Album" ], [ "Fatboy_Slim", "award", "Grammy_Award_for_Best_Dance_Recording" ], [ "Foo_Fighters", "award", "Grammy_Award_for_Best_Alternative_Music_Album" ], [ "Foo_Fighters", "award", "MTV_Video_Music_Award_for_Best_Group_Video" ], [ "Garbage", "award", "MTV_Video_Music_Award_for_Best_Group_Video" ], [ "Gary_Numan", "influenced_by", "Kraftwerk" ], [ "Grammy_Award_for_Best_Alternative_Music_Album", "award_winner", "Beastie_Boys" ], [ "Grammy_Award_for_Best_Alternative_Music_Album", "award_winner", "Coldplay" ], [ "Grammy_Award_for_Best_Alternative_Music_Album", "award_winner", "Green_Day" ], [ "Grammy_Award_for_Best_Alternative_Music_Album", "award_winner", "Radiohead" ], [ "Grammy_Award_for_Best_Alternative_Music_Album", "award_winner", "The_White_Stripes" ], [ "Grammy_Award_for_Best_Alternative_Music_Album", "award_winner", "Wilco" ], [ "Grammy_Award_for_Best_Dance_Recording", "award_winner", "The_Chemical_Brothers" ], [ "Green_Day", "award", "Grammy_Award_for_Best_Alternative_Music_Album" ], [ "Green_Day", "award", "MTV_Video_Music_Award_for_Best_Group_Video" ], [ "Krautrock", "artists", "Kraftwerk" ], [ "Krautrock", "parent_genre", "Electronic_rock" ], [ "Linkin_Park", "award", "MTV_Video_Music_Award_for_Best_Group_Video" ], [ "MTV_Video_Music_Award_for_Best_Group_Video", "award_winner", "Foo_Fighters" ], [ "MTV_Video_Music_Award_for_Best_Group_Video", "award_winner", "Green_Day" ], [ "MTV_Video_Music_Award_for_Best_Group_Video", "award_winner", "Talking_Heads" ], [ "MTV_Video_Music_Award_for_Best_Group_Video", "award_winner", "The_B-52's" ], [ "MTV_Video_Music_Award_for_Best_Group_Video", "award_winner", "ZZ_Top" ], [ "Moby", "award", "Grammy_Award_for_Best_Alternative_Music_Album" ], [ "Moby", "award", "Grammy_Award_for_Best_Dance_Recording" ], [ "Morrissey", "award", "Grammy_Award_for_Best_Alternative_Music_Album" ], [ "Mute_Records", "artist", "Depeche_Mode" ], [ "Mute_Records", "artist", "Kraftwerk" ], [ "Mute_Records", "artist", "Moby" ], [ "Mute_Records", "artist", "The_Prodigy" ], [ "My_Sister's_Keeper", "award_winner", "Abigail_Breslin" ], [ "New_Order", "award", "Grammy_Award_for_Best_Dance_Recording" ], [ "Nine_Inch_Nails", "award", "Grammy_Award_for_Best_Alternative_Music_Album" ], [ "Panic!_at_the_Disco", "award", "MTV_Video_Music_Award_for_Best_Group_Video" ], [ "Radiohead", "award", "Grammy_Award_for_Best_Alternative_Music_Album" ], [ "Radiohead", "award", "MTV_Video_Music_Award_for_Best_Group_Video" ], [ "Reprise_Records", "artist", "Depeche_Mode" ], [ "Reprise_Records", "artist", "Green_Day" ], [ "Reprise_Records", "artist", "Morrissey" ], [ "Reprise_Records", "artist", "New_Order" ], [ "Reprise_Records", "artist", "The_B-52's" ], [ "Reprise_Records", "artist", "The_Smashing_Pumpkins" ], [ "Reprise_Records", "artist", "Wilco" ], [ "Sire_Records", "artist", "Depeche_Mode" ], [ "Sire_Records", "artist", "Morrissey" ], [ "Sire_Records", "artist", "Talking_Heads" ], [ "Sire_Records", "artist", "The_Cure" ], [ "Stephen_Dillane", "award_nominee", "Dakota_Fanning" ], [ "Talking_Heads", "award", "MTV_Video_Music_Award_for_Best_Group_Video" ], [ "The_B-52's", "award", "Grammy_Award_for_Best_Alternative_Music_Album" ], [ "The_B-52's", "award", "MTV_Video_Music_Award_for_Best_Group_Video" ], [ "The_Black_Eyed_Peas", "award", "Grammy_Award_for_Best_Dance_Recording" ], [ "The_Black_Eyed_Peas", "award", "MTV_Video_Music_Award_for_Best_Group_Video" ], [ "The_Chemical_Brothers", "award", "Grammy_Award_for_Best_Alternative_Music_Album" ], [ "The_Chemical_Brothers", "award", "Grammy_Award_for_Best_Dance_Recording" ], [ "The_Cure", "award", "Grammy_Award_for_Best_Alternative_Music_Album" ], [ "The_Prodigy", "award", "Grammy_Award_for_Best_Alternative_Music_Album" ], [ "The_Smashing_Pumpkins", "award", "Grammy_Award_for_Best_Alternative_Music_Album" ], [ "The_White_Stripes", "award", "MTV_Video_Music_Award_for_Best_Group_Video" ], [ "Thom_Yorke", "award", "Grammy_Award_for_Best_Alternative_Music_Album" ], [ "Thom_Yorke", "group", "Radiohead" ], [ "University_of_Exeter", "educational_institution", "University_of_Exeter" ], [ "University_of_Exeter", "student", "Stephen_Dillane" ], [ "University_of_Exeter", "student", "Thom_Yorke" ], [ "Wilco", "award", "Grammy_Award_for_Best_Alternative_Music_Album" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 1389, Fidel_Castro 13725, Franklin_&_Marshall_College 1052, James_Buchanan 8339, Lancaster 9073, Lawyer 2621, Once_Upon_a_Time_in_America 12001, Sicilian_Mafia 9706, The_Departed 2306, Treat_Williams src, edge_attr, dst 1389, profession, 9073 13725, citytown, 8339 13725, educational_institution, 13725 13725, student, 2306 1052, location, 8339 1052, place_of_death, 8339 1052, profession, 9073 8339, place, 8339 12001, films, 2621 12001, films, 9706 2306, acted_in, 2621 Question: How are Fidel_Castro, Franklin_&_Marshall_College, and The_Departed related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Fidel_Castro", "Franklin_&_Marshall_College", "The_Departed" ], "valid_edges": [ [ "Fidel_Castro", "profession", "Lawyer" ], [ "Franklin_&_Marshall_College", "citytown", "Lancaster" ], [ "Franklin_&_Marshall_College", "educational_institution", "Franklin_&_Marshall_College" ], [ "Franklin_&_Marshall_College", "student", "Treat_Williams" ], [ "James_Buchanan", "location", "Lancaster" ], [ "James_Buchanan", "place_of_death", "Lancaster" ], [ "James_Buchanan", "profession", "Lawyer" ], [ "Lancaster", "place", "Lancaster" ], [ "Sicilian_Mafia", "films", "Once_Upon_a_Time_in_America" ], [ "Sicilian_Mafia", "films", "The_Departed" ], [ "Treat_Williams", "acted_in", "Once_Upon_a_Time_in_America" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 13133, Alan_Rickman 7932, Alice_in_Wonderland 12642, BAFTA_Award_for_Best_Makeup_&_Hair 9644, BAFTA_Award_for_Best_Special_Visual_Effects 170, Ben_Kingsley 2074, Fiction 7388, Film 8887, Harry_Potter_and_the_Philosopher's_Stone 8400, Hindi_Language 10305, Hunter_College 3364, Indian_people 3073, Manchester_Monarchs 5765, Purple 674, Robbie_Coltrane 380, Shreeram_Lagoo 12397, Vivek 1759, Walt_Disney_Pictures src, edge_attr, dst 13133, acted_in, 7932 13133, acted_in, 8887 7932, award_honor_award, 12642 7932, genre, 2074 7932, production_companies, 1759 12642, nominated_for, 8887 9644, nominated_for, 7932 9644, nominated_for, 8887 170, acted_in, 7932 7388, student, 674 8887, genre, 2074 10305, colors, 5765 10305, major_field_of_study, 7388 3364, languages_spoken, 8400 3364, people, 170 3364, people, 380 3364, people, 12397 3073, colors, 5765 674, acted_in, 7932 674, acted_in, 8887 674, nominated_for, 8887 380, languages, 8400 12397, languages, 8400 1759, film, 7932 1759, industry, 7388 Question: In what context are Manchester_Monarchs, Robbie_Coltrane, and Vivek connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Manchester_Monarchs", "Robbie_Coltrane", "Vivek" ], "valid_edges": [ [ "Alan_Rickman", "acted_in", "Alice_in_Wonderland" ], [ "Alan_Rickman", "acted_in", "Harry_Potter_and_the_Philosopher's_Stone" ], [ "Alice_in_Wonderland", "award_honor_award", "BAFTA_Award_for_Best_Makeup_&_Hair" ], [ "Alice_in_Wonderland", "genre", "Fiction" ], [ "Alice_in_Wonderland", "production_companies", "Walt_Disney_Pictures" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Harry_Potter_and_the_Philosopher's_Stone" ], [ "BAFTA_Award_for_Best_Special_Visual_Effects", "nominated_for", "Alice_in_Wonderland" ], [ "BAFTA_Award_for_Best_Special_Visual_Effects", "nominated_for", "Harry_Potter_and_the_Philosopher's_Stone" ], [ "Ben_Kingsley", "acted_in", "Alice_in_Wonderland" ], [ "Film", "student", "Robbie_Coltrane" ], [ "Harry_Potter_and_the_Philosopher's_Stone", "genre", "Fiction" ], [ "Hunter_College", "colors", "Purple" ], [ "Hunter_College", "major_field_of_study", "Film" ], [ "Indian_people", "languages_spoken", "Hindi_Language" ], [ "Indian_people", "people", "Ben_Kingsley" ], [ "Indian_people", "people", "Shreeram_Lagoo" ], [ "Indian_people", "people", "Vivek" ], [ "Manchester_Monarchs", "colors", "Purple" ], [ "Robbie_Coltrane", "acted_in", "Alice_in_Wonderland" ], [ "Robbie_Coltrane", "acted_in", "Harry_Potter_and_the_Philosopher's_Stone" ], [ "Robbie_Coltrane", "nominated_for", "Harry_Potter_and_the_Philosopher's_Stone" ], [ "Shreeram_Lagoo", "languages", "Hindi_Language" ], [ "Vivek", "languages", "Hindi_Language" ], [ "Walt_Disney_Pictures", "film", "Alice_in_Wonderland" ], [ "Walt_Disney_Pictures", "industry", "Film" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 13575, Bladder_cancer 5887, Caucasian_race 3068, Colin_Farrell 3237, Conrad_L._Hall 5544, David_Byrne 13758, Dublin 5427, Ewan_McGregor 13748, Haywire 13203, I_Love_You_Phillip_Morris 6962, Ireland 1081, Richard_Wright 8342, Salmon_Fishing_in_the_Yemen 7553, Tyrannosaur 6513, UK_Film_Council 1149, Vibraphone 899, Young_Adam src, edge_attr, dst 13575, people, 3237 13575, risk_factors, 5887 5887, people, 1081 3068, participant, 5427 5544, role, 1149 13758, vacationer, 5544 5427, acted_in, 13748 5427, acted_in, 13203 5427, acted_in, 8342 5427, acted_in, 899 5427, nominated_for, 8342 5427, nominated_for, 899 5427, participant, 3068 13748, film_country, 6962 13748, film_release_region, 6962 13203, film_release_region, 6962 6962, contains, 13758 6962, vacationer, 3068 8342, film_release_region, 6962 8342, production_companies, 6513 7553, film_release_region, 6962 7553, production_companies, 6513 1149, instrumentalists, 1081 899, film_music, 5544 899, production_companies, 6513 Question: How are Conrad_L._Hall, Salmon_Fishing_in_the_Yemen, and Vibraphone related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Conrad_L._Hall", "Salmon_Fishing_in_the_Yemen", "Vibraphone" ], "valid_edges": [ [ "Bladder_cancer", "people", "Conrad_L._Hall" ], [ "Bladder_cancer", "risk_factors", "Caucasian_race" ], [ "Caucasian_race", "people", "Richard_Wright" ], [ "Colin_Farrell", "participant", "Ewan_McGregor" ], [ "David_Byrne", "role", "Vibraphone" ], [ "Dublin", "vacationer", "David_Byrne" ], [ "Ewan_McGregor", "acted_in", "Haywire" ], [ "Ewan_McGregor", "acted_in", "I_Love_You_Phillip_Morris" ], [ "Ewan_McGregor", "acted_in", "Salmon_Fishing_in_the_Yemen" ], [ "Ewan_McGregor", "acted_in", "Young_Adam" ], [ "Ewan_McGregor", "nominated_for", "Salmon_Fishing_in_the_Yemen" ], [ "Ewan_McGregor", "nominated_for", "Young_Adam" ], [ "Ewan_McGregor", "participant", "Colin_Farrell" ], [ "Haywire", "film_country", "Ireland" ], [ "Haywire", "film_release_region", "Ireland" ], [ "I_Love_You_Phillip_Morris", "film_release_region", "Ireland" ], [ "Ireland", "contains", "Dublin" ], [ "Ireland", "vacationer", "Colin_Farrell" ], [ "Salmon_Fishing_in_the_Yemen", "film_release_region", "Ireland" ], [ "Salmon_Fishing_in_the_Yemen", "production_companies", "UK_Film_Council" ], [ "Tyrannosaur", "film_release_region", "Ireland" ], [ "Tyrannosaur", "production_companies", "UK_Film_Council" ], [ "Vibraphone", "instrumentalists", "Richard_Wright" ], [ "Young_Adam", "film_music", "David_Byrne" ], [ "Young_Adam", "production_companies", "UK_Film_Council" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 1375, 15th_Critics'_Choice_Awards 1155, 67th_Golden_Globe_Awards 8215, 7th_Critics'_Choice_Awards 10259, 82nd_Academy_Awards 11625, Academy_Award_for_Best_Animated_Feature_Film 11359, Aidan_Quinn 11221, Amanda_Seyfried 12652, Amy_Brenneman 932, Avatar 3198, BFCA_Critics'_Choice_Award_for_Best_Composer 7868, Ben_Burtt 13423, Big_Love 8522, Broadcast_Film_Critics_Association_Award_for_Best_Animated_Feature 12435, Broadcast_Film_Critics_Association_Award_for_Best_Young_Performer 12594, Christoph_Waltz 8731, Craig_T._Nelson 4291, Crazy_Heart 465, Dakota_Fanning 7315, Delroy_Lindo 11335, German_American 11488, Glenn_Close 8136, Golden_Globe_Award_for_Best_Animated_Feature_Film 11459, Grey_Gardens 9378, Holly_Hunter 3214, Ian_McShane 10072, Independent_Spirit_Award_for_Best_Supporting_Female 2080, Italian_American 8380, Jason_Isaacs 3797, Jason_Reitman 8033, Jeff_Bridges 9315, Jessica_Chastain 1837, Joe_Mantegna 3916, John_Hawkes 9505, John_Lasseter 13307, John_Ratzenberger 4171, Julie_&_Julia 7150, Kathy_Baker 13373, Kevin_Bacon 8093, Let_Me_In 3432, Lisa_Gay_Hamilton 6502, Los_Angeles_Film_Critics_Association_Award_for_Best_Actress 411, MTV_Movie_Award_for_Best_Scared-As-S**t_Performance 1946, Mad_Men 2715, Mary_Kay_Place 7966, Michael_Giacchino 4195, Miguel_Sandoval 1864, Mo'Nique_Imes-Jackson 14095, Molly_Parker 8011, National_Board_of_Review_Award_for_Best_Actress 10853, New_York_Film_Critics_Circle_Award_for_Best_Actress 1414, Nine_Lives 8099, Paris_Hilton 11045, Pixar 246, Precious:_Based_on_the_Novel_Push_by_Sapphire 7788, Quentin_Tarantino 12688, Ray_McKinnon 6650, Robin_Wright 164, Ronaldo 657, Satellite_Award_for_Best_Animated_or_Mixed_Media_Feature 2230, Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Female_Actor_in_a_Drama_Series 7138, Shea_Whigham 1565, Sissy_Spacek 10465, Sport_Club_Corinthians_Paulista 2795, Stephen_Dillane 11026, Super_8 187, The_Blind_Side 13434, The_Hangover 10108, The_Incredibles 955, Up 3600, Up_in_the_Air 4814, Walt_Disney_Studios_Motion_Pictures 1711, William_Fichtner src, edge_attr, dst 1375, award_winner, 12594 1375, award_winner, 3797 1375, award_winner, 8033 1375, award_winner, 13373 1375, award_winner, 7966 1375, award_winner, 1864 1375, award_winner, 7788 1375, honored_for, 932 1375, honored_for, 4291 1375, honored_for, 11459 1375, honored_for, 4171 1375, honored_for, 246 1375, honored_for, 187 1375, honored_for, 13434 1375, honored_for, 955 1375, honored_for, 3600 1155, award_winner, 12594 1155, award_winner, 3797 1155, award_winner, 8033 1155, award_winner, 13373 1155, award_winner, 7966 1155, award_winner, 1864 1155, honored_for, 932 1155, honored_for, 13423 1155, honored_for, 4291 1155, 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award_nominee, 12652 1565, award_nominee, 465 1565, award_nominee, 11488 1565, award_nominee, 9378 1565, award_nominee, 3214 1565, award_nominee, 8380 1565, award_nominee, 1837 1565, award_nominee, 3432 1565, award_nominee, 2715 1565, award_nominee, 4195 1565, award_nominee, 14095 1565, award_nominee, 6650 1565, award_nominee, 2795 1565, award_nominee, 1711 1565, award_winner, 9315 1565, nominated_for, 13423 2795, acted_in, 1414 2795, award_nominee, 11359 2795, award_nominee, 11221 2795, award_nominee, 12652 2795, award_nominee, 465 2795, award_nominee, 11488 2795, award_nominee, 9378 2795, award_nominee, 3214 2795, award_nominee, 8380 2795, award_nominee, 1837 2795, award_nominee, 7150 2795, award_nominee, 3432 2795, award_nominee, 2715 2795, award_nominee, 4195 2795, award_nominee, 14095 2795, award_nominee, 6650 2795, award_nominee, 1711 2795, nominated_for, 1414 11026, crewmember, 7868 11026, film_music, 7966 10108, award_honor_award, 8522 10108, award_honor_award, 657 10108, award_winner, 11045 10108, executive_produced_by, 9505 10108, film_music, 7966 10108, production_companies, 11045 955, award_honor_award, 11625 955, award_honor_award, 3198 955, award_honor_award, 8136 955, award_winner, 7966 955, crewmember, 7868 955, executive_produced_by, 9505 955, film_music, 7966 4814, film, 10108 4814, film, 955 1711, acted_in, 1414 1711, award_nominee, 11359 1711, award_nominee, 11221 1711, award_nominee, 12652 1711, award_nominee, 11488 1711, award_nominee, 9378 1711, award_nominee, 3214 1711, award_nominee, 8380 1711, award_nominee, 1837 1711, award_nominee, 7150 1711, award_nominee, 3432 1711, award_nominee, 2715 1711, award_nominee, 4195 1711, award_nominee, 14095 1711, award_nominee, 6650 1711, award_nominee, 2795 1711, nominated_for, 1414 Question: For what reason are Amy_Brenneman, Michael_Giacchino, and Sport_Club_Corinthians_Paulista associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Amy_Brenneman", "Michael_Giacchino", "Sport_Club_Corinthians_Paulista" ], "valid_edges": [ [ "15th_Critics'_Choice_Awards", "award_winner", "Christoph_Waltz" ], [ "15th_Critics'_Choice_Awards", "award_winner", "Jason_Reitman" ], [ "15th_Critics'_Choice_Awards", "award_winner", "Jeff_Bridges" ], [ "15th_Critics'_Choice_Awards", "award_winner", "Kevin_Bacon" ], [ "15th_Critics'_Choice_Awards", "award_winner", "Michael_Giacchino" ], [ "15th_Critics'_Choice_Awards", "award_winner", "Mo'Nique_Imes-Jackson" ], [ "15th_Critics'_Choice_Awards", "award_winner", "Quentin_Tarantino" ], [ "15th_Critics'_Choice_Awards", "honored_for", "Avatar" ], [ "15th_Critics'_Choice_Awards", "honored_for", "Crazy_Heart" ], [ "15th_Critics'_Choice_Awards", "honored_for", "Grey_Gardens" ], [ "15th_Critics'_Choice_Awards", "honored_for", "Julie_&_Julia" ], [ "15th_Critics'_Choice_Awards", "honored_for", "Precious:_Based_on_the_Novel_Push_by_Sapphire" ], [ "15th_Critics'_Choice_Awards", "honored_for", "The_Blind_Side" ], [ "15th_Critics'_Choice_Awards", "honored_for", "The_Hangover" ], [ "15th_Critics'_Choice_Awards", "honored_for", "Up" ], [ "15th_Critics'_Choice_Awards", "honored_for", "Up_in_the_Air" ], [ "67th_Golden_Globe_Awards", "award_winner", "Christoph_Waltz" ], [ "67th_Golden_Globe_Awards", "award_winner", "Jason_Reitman" ], [ "67th_Golden_Globe_Awards", "award_winner", "Jeff_Bridges" ], [ "67th_Golden_Globe_Awards", "award_winner", "Kevin_Bacon" ], [ "67th_Golden_Globe_Awards", "award_winner", "Michael_Giacchino" ], [ "67th_Golden_Globe_Awards", "award_winner", "Mo'Nique_Imes-Jackson" ], [ "67th_Golden_Globe_Awards", "honored_for", "Avatar" ], [ "67th_Golden_Globe_Awards", "honored_for", "Big_Love" ], [ "67th_Golden_Globe_Awards", "honored_for", "Crazy_Heart" ], [ "67th_Golden_Globe_Awards", "honored_for", "Grey_Gardens" ], [ "67th_Golden_Globe_Awards", "honored_for", "Julie_&_Julia" ], [ "67th_Golden_Globe_Awards", "honored_for", "Mad_Men" ], [ "67th_Golden_Globe_Awards", "honored_for", "Precious:_Based_on_the_Novel_Push_by_Sapphire" ], [ "67th_Golden_Globe_Awards", "honored_for", "The_Blind_Side" ], [ "67th_Golden_Globe_Awards", "honored_for", "The_Hangover" ], [ "67th_Golden_Globe_Awards", "honored_for", "Up" ], [ "67th_Golden_Globe_Awards", "honored_for", "Up_in_the_Air" ], [ "7th_Critics'_Choice_Awards", "award_winner", "Dakota_Fanning" ], [ "7th_Critics'_Choice_Awards", "award_winner", "Sissy_Spacek" ], [ "82nd_Academy_Awards", "award_winner", "Christoph_Waltz" ], [ "82nd_Academy_Awards", "award_winner", "Jeff_Bridges" ], [ "82nd_Academy_Awards", "award_winner", "Michael_Giacchino" ], [ "82nd_Academy_Awards", "award_winner", "Mo'Nique_Imes-Jackson" ], [ "82nd_Academy_Awards", "honored_for", "Avatar" ], [ "82nd_Academy_Awards", "honored_for", "Crazy_Heart" ], [ "82nd_Academy_Awards", "honored_for", "Precious:_Based_on_the_Novel_Push_by_Sapphire" ], [ "82nd_Academy_Awards", "honored_for", "The_Blind_Side" ], [ 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"nominated_for", "Nine_Lives" ], [ "Amanda_Seyfried", "acted_in", "Nine_Lives" ], [ "Amanda_Seyfried", "award", "MTV_Movie_Award_for_Best_Scared-As-S**t_Performance" ], [ "Amanda_Seyfried", "award_nominee", "Aidan_Quinn" ], [ "Amanda_Seyfried", "award_nominee", "Dakota_Fanning" ], [ "Amanda_Seyfried", "award_nominee", "Glenn_Close" ], [ "Amanda_Seyfried", "award_nominee", "Ian_McShane" ], [ "Amanda_Seyfried", "award_nominee", "Joe_Mantegna" ], [ "Amanda_Seyfried", "award_nominee", "Kathy_Baker" ], [ "Amanda_Seyfried", "award_nominee", "Lisa_Gay_Hamilton" ], [ "Amanda_Seyfried", "award_nominee", "Mary_Kay_Place" ], [ "Amanda_Seyfried", "award_nominee", "Miguel_Sandoval" ], [ "Amanda_Seyfried", "award_nominee", "Robin_Wright" ], [ "Amanda_Seyfried", "award_nominee", "Sissy_Spacek" ], [ "Amanda_Seyfried", "award_nominee", "Stephen_Dillane" ], [ "Amanda_Seyfried", "award_nominee", "William_Fichtner" ], [ "Amanda_Seyfried", "nominated_for", "Nine_Lives" ], [ "Amy_Brenneman", "acted_in", 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"Dakota_Fanning" ], [ "Stephen_Dillane", "award_nominee", "Glenn_Close" ], [ "Stephen_Dillane", "award_nominee", "Holly_Hunter" ], [ "Stephen_Dillane", "award_nominee", "Ian_McShane" ], [ "Stephen_Dillane", "award_nominee", "Jason_Isaacs" ], [ "Stephen_Dillane", "award_nominee", "Joe_Mantegna" ], [ "Stephen_Dillane", "award_nominee", "Kathy_Baker" ], [ "Stephen_Dillane", "award_nominee", "Lisa_Gay_Hamilton" ], [ "Stephen_Dillane", "award_nominee", "Mary_Kay_Place" ], [ "Stephen_Dillane", "award_nominee", "Miguel_Sandoval" ], [ "Stephen_Dillane", "award_nominee", "Molly_Parker" ], [ "Stephen_Dillane", "award_nominee", "Robin_Wright" ], [ "Stephen_Dillane", "award_nominee", "William_Fichtner" ], [ "Stephen_Dillane", "nominated_for", "Nine_Lives" ], [ "Super_8", "crewmember", "Ben_Burtt" ], [ "Super_8", "film_music", "Michael_Giacchino" ], [ "The_Incredibles", "award_honor_award", "Broadcast_Film_Critics_Association_Award_for_Best_Animated_Feature" ], [ "The_Incredibles", "award_honor_award", "Satellite_Award_for_Best_Animated_or_Mixed_Media_Feature" ], [ "The_Incredibles", "award_winner", "Pixar" ], [ "The_Incredibles", "executive_produced_by", "John_Lasseter" ], [ "The_Incredibles", "film_music", "Michael_Giacchino" ], [ "The_Incredibles", "production_companies", "Pixar" ], [ "Up", "award_honor_award", "Academy_Award_for_Best_Animated_Feature_Film" ], [ "Up", "award_honor_award", "BFCA_Critics'_Choice_Award_for_Best_Composer" ], [ "Up", "award_honor_award", "Golden_Globe_Award_for_Best_Animated_Feature_Film" ], [ "Up", "award_winner", "Michael_Giacchino" ], [ "Up", "crewmember", "Ben_Burtt" ], [ "Up", "executive_produced_by", "John_Lasseter" ], [ "Up", "film_music", "Michael_Giacchino" ], [ "Walt_Disney_Studios_Motion_Pictures", "film", "The_Incredibles" ], [ "Walt_Disney_Studios_Motion_Pictures", "film", "Up" ], [ "William_Fichtner", "acted_in", "Nine_Lives" ], [ "William_Fichtner", "award_nominee", "Aidan_Quinn" ], [ "William_Fichtner", "award_nominee", "Amanda_Seyfried" ], [ "William_Fichtner", "award_nominee", "Amy_Brenneman" ], [ "William_Fichtner", "award_nominee", "Glenn_Close" ], [ "William_Fichtner", "award_nominee", "Holly_Hunter" ], [ "William_Fichtner", "award_nominee", "Ian_McShane" ], [ "William_Fichtner", "award_nominee", "Jason_Isaacs" ], [ "William_Fichtner", "award_nominee", "Joe_Mantegna" ], [ "William_Fichtner", "award_nominee", "Kathy_Baker" ], [ "William_Fichtner", "award_nominee", "Lisa_Gay_Hamilton" ], [ "William_Fichtner", "award_nominee", "Mary_Kay_Place" ], [ "William_Fichtner", "award_nominee", "Miguel_Sandoval" ], [ "William_Fichtner", "award_nominee", "Molly_Parker" ], [ "William_Fichtner", "award_nominee", "Robin_Wright" ], [ "William_Fichtner", "award_nominee", "Stephen_Dillane" ], [ "William_Fichtner", "nominated_for", "Nine_Lives" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 12408, 1980_NCAA_Men's_Division_I_Basketball_Tournament 372, 1983_NCAA_Men's_Division_I_Basketball_Tournament 7897, 1984_NCAA_Men's_Division_I_Basketball_Tournament 7367, 1985_NCAA_Men's_Division_I_Basketball_Tournament 13877, 1986_NCAA_Men's_Division_I_Basketball_Tournament 5362, 1987_NCAA_Men's_Division_I_Basketball_Tournament 4213, 1988_NCAA_Men's_Division_I_Basketball_Tournament 861, 1989_NCAA_Men's_Division_I_Basketball_Tournament 11871, 1990_NCAA_Men's_Division_I_Basketball_Tournament 12244, 1991_NCAA_Men's_Division_I_Basketball_Tournament 9176, 1992_NCAA_Men's_Division_I_Basketball_Tournament 9678, 1993_NCAA_Men's_Division_I_Basketball_Tournament 13044, 1994_NCAA_Men's_Division_I_Basketball_Tournament 10440, 1995_NCAA_Men's_Division_I_Basketball_Tournament 7370, 1996_NCAA_Men's_Division_I_Basketball_Tournament 13039, 1997_NCAA_Men's_Division_I_Basketball_Tournament 11069, 1998_NCAA_Men's_Division_I_Basketball_Tournament 1526, 1999_NCAA_Men's_Division_I_Basketball_Tournament 10556, 2000_NCAA_Men's_Division_I_Basketball_Tournament 5107, 2001_NCAA_Men's_Division_I_Basketball_Tournament 10390, 2004_NCAA_Men's_Division_I_Basketball_Tournament 5279, 2005_NCAA_Men's_Division_I_Basketball_Tournament 10695, 2006_NCAA_Men's_Division_I_Basketball_Tournament 4352, 2009_NCAA_Men's_Division_I_Basketball_Tournament 9538, Academy_Award_for_Best_Original_Music_Score 12404, Adelaide_United_FC 10726, African_American 865, Allen_Iverson 13429, Atlanta 11081, Big_Fish 11497, Billy_Preston 9410, Bulldog 11596, Carmelo_Anthony 11076, Cee_Lo_Green 7947, Chandra_Wilson 3018, Charlotte 548, Chris_Paul 122, Chris_Tucker 698, Cicely_Tyson 3260, College_basketball 1796, Colombia 12945, Czech_Republic 4828, Danger_Mouse 9347, Deion_Sanders 5790, Gary_Sheffield 5390, German_Shepherd_Dog 12474, Gladys_Knight 9986, Golden_Globe_Award_for_Best_Original_Score 11714, Golden_Retriever 4410, Houston 3529, Iceland 10201, Isaiah_Washington 847, Israel 11245, James_Brown 13117, James_Earl_Jones 10532, Jermaine_Dupri 4970, Kanye_West 7737, Kelly_Rowland 9719, Kenan_Thompson 12829, Labrador_Retriever 127, Loretta_Devine 7654, Ludacris 13277, Malaysia 6037, Martin_Luther_King,_Jr. 3278, Mayor 11903, Michael_Jordan 8723, New_Zealand 7877, North_Carolina_Tar_Heels_men's_basketball 2988, Peru 13007, Philippines 10620, Robert_Guillaume 11953, Sean_Combs 10724, Shane_Smeltz 12667, Singapore 80, Slovakia 2750, South_Korea 12966, Spike_Lee 8431, Syracuse 7954, Syracuse_Orange_men's_basketball 4830, The_Lion_King 3276, Toni_Braxton 13601, Tyler_Perry 6410, Usher 2617, Whoopi_Goldberg 4466, Yorkshire_Terrier src, edge_attr, dst 12408, locations, 4410 12408, ncaa_seed_team, 7877 12408, ncaa_seed_team, 7954 372, locations, 4410 372, locations, 8431 372, ncaa_seed_team, 7877 372, ncaa_seed_team, 7954 7897, locations, 13429 7897, locations, 3018 7897, ncaa_seed_team, 7877 7897, ncaa_seed_team, 7954 7367, locations, 13429 7367, locations, 4410 7367, ncaa_seed_team, 7877 7367, ncaa_seed_team, 7954 13877, locations, 13429 13877, locations, 3018 13877, locations, 4410 13877, locations, 8431 13877, ncaa_seed_team, 7877 13877, ncaa_seed_team, 7954 5362, locations, 13429 5362, locations, 3018 5362, locations, 8431 5362, ncaa_seed_team, 7877 5362, ncaa_seed_team, 7954 4213, locations, 13429 4213, ncaa_seed_team, 7877 4213, ncaa_seed_team, 7954 861, locations, 13429 861, ncaa_seed_team, 7877 861, ncaa_seed_team, 7954 11871, locations, 13429 11871, ncaa_seed_team, 7877 11871, ncaa_seed_team, 7954 12244, locations, 13429 12244, locations, 3018 12244, locations, 8431 12244, ncaa_seed_team, 7877 12244, ncaa_seed_team, 7954 9176, locations, 13429 9176, ncaa_seed_team, 7877 9176, ncaa_seed_team, 7954 9678, locations, 3018 9678, locations, 8431 9678, ncaa_seed_team, 7877 13044, locations, 3018 13044, ncaa_seed_team, 7877 13044, ncaa_seed_team, 7954 10440, ncaa_seed_team, 7877 10440, ncaa_seed_team, 7954 7370, locations, 13429 7370, ncaa_seed_team, 7877 7370, ncaa_seed_team, 7954 13039, locations, 3018 13039, locations, 8431 13039, ncaa_seed_team, 7877 11069, locations, 13429 11069, ncaa_seed_team, 7877 11069, ncaa_seed_team, 7954 1526, ncaa_seed_team, 7877 1526, ncaa_seed_team, 7954 10556, ncaa_seed_team, 7877 10556, ncaa_seed_team, 7954 5107, ncaa_seed_team, 7877 5107, ncaa_seed_team, 7954 10390, ncaa_seed_team, 7877 10390, ncaa_seed_team, 7954 5279, ncaa_seed_team, 7877 5279, ncaa_seed_team, 7954 10695, ncaa_seed_team, 7877 10695, ncaa_seed_team, 7954 4352, ncaa_seed_team, 7877 4352, ncaa_seed_team, 7954 9538, nominated_for, 11081 9538, nominated_for, 4830 10726, people, 865 10726, people, 11497 10726, people, 11596 10726, people, 11076 10726, people, 7947 10726, people, 548 10726, people, 122 10726, people, 698 10726, people, 4828 10726, people, 9347 10726, people, 5790 10726, people, 12474 10726, people, 10201 10726, people, 11245 10726, people, 13117 10726, people, 10532 10726, people, 4970 10726, people, 7737 10726, people, 9719 10726, people, 127 10726, people, 7654 10726, people, 6037 10726, people, 11903 10726, people, 10620 10726, people, 11953 10726, people, 12966 10726, people, 3276 10726, people, 13601 10726, people, 6410 10726, people, 2617 865, location, 13429 13429, dog_breed, 9410 13429, dog_breed, 5390 13429, dog_breed, 11714 13429, dog_breed, 12829 13429, dog_breed, 4466 13429, place, 13429 11081, film_release_region, 1796 11081, film_release_region, 12945 11081, film_release_region, 3529 11081, film_release_region, 847 11081, film_release_region, 13277 11081, film_release_region, 8723 11081, film_release_region, 2988 11081, film_release_region, 13007 11081, film_release_region, 12667 11081, film_release_region, 80 11081, film_release_region, 2750 11497, place_of_birth, 4410 11596, team, 7954 11076, artist_origin, 13429 7947, place_of_birth, 4410 3018, dog_breed, 9410 3018, dog_breed, 5390 3018, dog_breed, 11714 3018, dog_breed, 12829 3018, dog_breed, 4466 3018, place, 3018 548, location, 3018 122, location, 13429 122, place_of_birth, 13429 698, location, 13429 4828, location, 13429 9347, location, 13429 5790, location, 13429 12474, artist_origin, 13429 12474, place_of_birth, 13429 9986, nominated_for, 11081 9986, nominated_for, 4830 4410, dog_breed, 9410 4410, dog_breed, 5390 4410, dog_breed, 11714 4410, dog_breed, 12829 4410, dog_breed, 4466 4410, place, 4410 10201, place_of_birth, 4410 11245, place_of_death, 13429 13117, acted_in, 4830 10532, location, 13429 4970, location, 13429 7737, location, 13429 7737, location, 4410 7737, place_of_birth, 13429 9719, place_of_birth, 13429 127, place_of_birth, 4410 7654, artist_origin, 13429 6037, location, 13429 6037, place_of_birth, 13429 3278, jurisdiction_of_office, 13429 3278, jurisdiction_of_office, 3018 3278, jurisdiction_of_office, 4410 11903, team, 7877 7877, sport, 3260 10620, acted_in, 11081 10620, acted_in, 4830 11953, location, 13429 10724, nationality, 8723 10724, team, 12404 12966, location, 13429 12966, place_of_birth, 13429 8431, place, 8431 8431, teams, 7954 7954, sport, 3260 4830, award_honor_award, 9538 4830, award_honor_award, 9986 4830, film_release_region, 1796 4830, film_release_region, 12945 4830, film_release_region, 3529 4830, film_release_region, 847 4830, film_release_region, 13277 4830, film_release_region, 8723 4830, film_release_region, 2988 4830, film_release_region, 13007 4830, film_release_region, 12667 4830, film_release_region, 80 4830, film_release_region, 2750 3276, location, 13429 13601, location, 13429 6410, location, 13429 2617, acted_in, 4830 Question: How are 1986_NCAA_Men's_Division_I_Basketball_Tournament, Adelaide_United_FC, and Robert_Guillaume related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "1986_NCAA_Men's_Division_I_Basketball_Tournament", "Adelaide_United_FC", "Robert_Guillaume" ], "valid_edges": [ [ "1980_NCAA_Men's_Division_I_Basketball_Tournament", "locations", "Houston" ], [ "1980_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "North_Carolina_Tar_Heels_men's_basketball" ], [ "1980_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "Syracuse_Orange_men's_basketball" ], [ "1983_NCAA_Men's_Division_I_Basketball_Tournament", "locations", "Houston" ], [ "1983_NCAA_Men's_Division_I_Basketball_Tournament", "locations", "Syracuse" ], [ "1983_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "North_Carolina_Tar_Heels_men's_basketball" ], [ "1983_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "Syracuse_Orange_men's_basketball" ], [ "1984_NCAA_Men's_Division_I_Basketball_Tournament", "locations", "Atlanta" ], [ "1984_NCAA_Men's_Division_I_Basketball_Tournament", "locations", "Charlotte" ], [ "1984_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "North_Carolina_Tar_Heels_men's_basketball" ], [ "1984_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "Syracuse_Orange_men's_basketball" ], [ "1985_NCAA_Men's_Division_I_Basketball_Tournament", "locations", "Atlanta" ], [ "1985_NCAA_Men's_Division_I_Basketball_Tournament", "locations", "Houston" ], [ "1985_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "North_Carolina_Tar_Heels_men's_basketball" ], [ "1985_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "Syracuse_Orange_men's_basketball" ], [ "1986_NCAA_Men's_Division_I_Basketball_Tournament", "locations", "Atlanta" ], [ "1986_NCAA_Men's_Division_I_Basketball_Tournament", "locations", "Charlotte" ], [ "1986_NCAA_Men's_Division_I_Basketball_Tournament", "locations", "Houston" ], [ "1986_NCAA_Men's_Division_I_Basketball_Tournament", "locations", "Syracuse" ], [ "1986_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "North_Carolina_Tar_Heels_men's_basketball" ], [ "1986_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "Syracuse_Orange_men's_basketball" ], [ "1987_NCAA_Men's_Division_I_Basketball_Tournament", "locations", "Atlanta" ], [ "1987_NCAA_Men's_Division_I_Basketball_Tournament", "locations", "Charlotte" ], [ "1987_NCAA_Men's_Division_I_Basketball_Tournament", "locations", "Syracuse" ], [ "1987_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "North_Carolina_Tar_Heels_men's_basketball" ], [ "1987_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "Syracuse_Orange_men's_basketball" ], [ "1988_NCAA_Men's_Division_I_Basketball_Tournament", "locations", "Atlanta" ], [ "1988_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "North_Carolina_Tar_Heels_men's_basketball" ], [ "1988_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "Syracuse_Orange_men's_basketball" ], [ "1989_NCAA_Men's_Division_I_Basketball_Tournament", "locations", "Atlanta" ], [ "1989_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "North_Carolina_Tar_Heels_men's_basketball" ], [ "1989_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "Syracuse_Orange_men's_basketball" ], [ "1990_NCAA_Men's_Division_I_Basketball_Tournament", "locations", "Atlanta" ], [ "1990_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "North_Carolina_Tar_Heels_men's_basketball" ], [ "1990_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "Syracuse_Orange_men's_basketball" ], [ "1991_NCAA_Men's_Division_I_Basketball_Tournament", "locations", "Atlanta" ], [ "1991_NCAA_Men's_Division_I_Basketball_Tournament", "locations", "Charlotte" ], [ "1991_NCAA_Men's_Division_I_Basketball_Tournament", "locations", "Syracuse" ], [ "1991_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "North_Carolina_Tar_Heels_men's_basketball" ], [ 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"ncaa_seed_team", "North_Carolina_Tar_Heels_men's_basketball" ], [ "1998_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "Syracuse_Orange_men's_basketball" ], [ "1999_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "North_Carolina_Tar_Heels_men's_basketball" ], [ "1999_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "Syracuse_Orange_men's_basketball" ], [ "2000_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "North_Carolina_Tar_Heels_men's_basketball" ], [ "2000_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "Syracuse_Orange_men's_basketball" ], [ "2001_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "North_Carolina_Tar_Heels_men's_basketball" ], [ "2001_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "Syracuse_Orange_men's_basketball" ], [ "2004_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "North_Carolina_Tar_Heels_men's_basketball" ], [ "2004_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "Syracuse_Orange_men's_basketball" ], [ "2005_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "North_Carolina_Tar_Heels_men's_basketball" ], [ "2005_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "Syracuse_Orange_men's_basketball" ], [ "2006_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "North_Carolina_Tar_Heels_men's_basketball" ], [ "2006_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "Syracuse_Orange_men's_basketball" ], [ "2009_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "North_Carolina_Tar_Heels_men's_basketball" ], [ "2009_NCAA_Men's_Division_I_Basketball_Tournament", "ncaa_seed_team", "Syracuse_Orange_men's_basketball" ], [ "Academy_Award_for_Best_Original_Music_Score", "nominated_for", "Big_Fish" ], [ "Academy_Award_for_Best_Original_Music_Score", "nominated_for", "The_Lion_King" ], [ "African_American", "people", "Allen_Iverson" ], [ "African_American", "people", "Billy_Preston" ], [ "African_American", "people", "Carmelo_Anthony" ], [ "African_American", "people", "Cee_Lo_Green" ], [ "African_American", "people", "Chandra_Wilson" ], [ "African_American", "people", "Chris_Paul" ], [ "African_American", "people", "Chris_Tucker" ], [ "African_American", "people", "Cicely_Tyson" ], [ "African_American", "people", "Danger_Mouse" ], [ "African_American", "people", "Deion_Sanders" ], [ "African_American", "people", "Gary_Sheffield" ], [ "African_American", "people", "Gladys_Knight" ], [ "African_American", "people", "Isaiah_Washington" ], [ "African_American", "people", "James_Brown" ], [ "African_American", "people", "James_Earl_Jones" ], [ "African_American", "people", "Jermaine_Dupri" ], [ "African_American", "people", "Kanye_West" ], [ "African_American", "people", "Kelly_Rowland" ], [ "African_American", "people", "Kenan_Thompson" ], [ "African_American", "people", "Loretta_Devine" ], [ "African_American", "people", "Ludacris" ], [ "African_American", "people", "Martin_Luther_King,_Jr." ], [ "African_American", "people", "Michael_Jordan" ], [ "African_American", "people", "Robert_Guillaume" ], [ "African_American", "people", "Sean_Combs" ], [ "African_American", "people", "Spike_Lee" ], [ "African_American", "people", "Toni_Braxton" ], [ "African_American", "people", "Tyler_Perry" ], [ "African_American", "people", "Usher" ], [ "African_American", "people", "Whoopi_Goldberg" ], [ "Allen_Iverson", "location", "Atlanta" ], [ "Atlanta", "dog_breed", "Bulldog" ], [ "Atlanta", "dog_breed", "German_Shepherd_Dog" ], [ "Atlanta", "dog_breed", "Golden_Retriever" ], [ "Atlanta", "dog_breed", "Labrador_Retriever" ], [ "Atlanta", "dog_breed", "Yorkshire_Terrier" ], [ "Atlanta", "place", "Atlanta" ], [ "Big_Fish", "film_release_region", "Colombia" ], [ "Big_Fish", "film_release_region", "Czech_Republic" ], [ "Big_Fish", "film_release_region", "Iceland" ], [ "Big_Fish", "film_release_region", "Israel" ], [ "Big_Fish", "film_release_region", "Malaysia" ], [ "Big_Fish", "film_release_region", "New_Zealand" ], [ "Big_Fish", "film_release_region", "Peru" ], [ "Big_Fish", "film_release_region", "Philippines" ], [ "Big_Fish", "film_release_region", "Singapore" ], [ "Big_Fish", "film_release_region", "Slovakia" ], [ "Big_Fish", "film_release_region", "South_Korea" ], [ "Billy_Preston", "place_of_birth", "Houston" ], [ "Carmelo_Anthony", "team", "Syracuse_Orange_men's_basketball" ], [ "Cee_Lo_Green", "artist_origin", "Atlanta" ], [ "Chandra_Wilson", "place_of_birth", "Houston" ], [ "Charlotte", "dog_breed", "Bulldog" ], [ "Charlotte", "dog_breed", "German_Shepherd_Dog" ], [ "Charlotte", "dog_breed", "Golden_Retriever" ], [ "Charlotte", "dog_breed", "Labrador_Retriever" ], [ "Charlotte", "dog_breed", "Yorkshire_Terrier" ], [ "Charlotte", "place", "Charlotte" ], [ "Chris_Paul", "location", "Charlotte" ], [ "Chris_Tucker", "location", "Atlanta" ], [ "Chris_Tucker", "place_of_birth", "Atlanta" ], [ "Cicely_Tyson", "location", "Atlanta" ], [ "Danger_Mouse", "location", "Atlanta" ], [ "Deion_Sanders", "location", "Atlanta" ], [ "Gary_Sheffield", "location", "Atlanta" ], [ "Gladys_Knight", "artist_origin", "Atlanta" ], [ "Gladys_Knight", "place_of_birth", "Atlanta" ], [ "Golden_Globe_Award_for_Best_Original_Score", "nominated_for", "Big_Fish" ], [ "Golden_Globe_Award_for_Best_Original_Score", "nominated_for", "The_Lion_King" ], [ "Houston", "dog_breed", "Bulldog" ], [ "Houston", "dog_breed", "German_Shepherd_Dog" ], [ "Houston", "dog_breed", "Golden_Retriever" ], [ "Houston", "dog_breed", "Labrador_Retriever" ], [ "Houston", "dog_breed", "Yorkshire_Terrier" ], [ "Houston", "place", "Houston" ], [ "Isaiah_Washington", "place_of_birth", "Houston" ], [ "James_Brown", "place_of_death", "Atlanta" ], [ "James_Earl_Jones", "acted_in", "The_Lion_King" ], [ "Jermaine_Dupri", "location", "Atlanta" ], [ "Kanye_West", "location", "Atlanta" ], [ "Kelly_Rowland", "location", "Atlanta" ], [ "Kelly_Rowland", "location", "Houston" ], [ "Kelly_Rowland", "place_of_birth", "Atlanta" ], [ "Kenan_Thompson", "place_of_birth", "Atlanta" ], [ "Loretta_Devine", "place_of_birth", "Houston" ], [ "Ludacris", "artist_origin", "Atlanta" ], [ "Martin_Luther_King,_Jr.", "location", "Atlanta" ], [ "Martin_Luther_King,_Jr.", "place_of_birth", "Atlanta" ], [ "Mayor", "jurisdiction_of_office", "Atlanta" ], [ "Mayor", "jurisdiction_of_office", "Charlotte" ], [ "Mayor", "jurisdiction_of_office", "Houston" ], [ "Michael_Jordan", "team", "North_Carolina_Tar_Heels_men's_basketball" ], [ "North_Carolina_Tar_Heels_men's_basketball", "sport", "College_basketball" ], [ "Robert_Guillaume", "acted_in", "Big_Fish" ], [ "Robert_Guillaume", "acted_in", "The_Lion_King" ], [ "Sean_Combs", "location", "Atlanta" ], [ "Shane_Smeltz", "nationality", "New_Zealand" ], [ "Shane_Smeltz", "team", "Adelaide_United_FC" ], [ "Spike_Lee", "location", "Atlanta" ], [ "Spike_Lee", "place_of_birth", "Atlanta" ], [ "Syracuse", "place", "Syracuse" ], [ "Syracuse", "teams", "Syracuse_Orange_men's_basketball" ], [ "Syracuse_Orange_men's_basketball", "sport", "College_basketball" ], [ "The_Lion_King", "award_honor_award", "Academy_Award_for_Best_Original_Music_Score" ], [ "The_Lion_King", "award_honor_award", "Golden_Globe_Award_for_Best_Original_Score" ], [ "The_Lion_King", "film_release_region", "Colombia" ], [ "The_Lion_King", "film_release_region", "Czech_Republic" ], [ "The_Lion_King", "film_release_region", "Iceland" ], [ "The_Lion_King", "film_release_region", "Israel" ], [ "The_Lion_King", "film_release_region", "Malaysia" ], [ "The_Lion_King", "film_release_region", "New_Zealand" ], [ "The_Lion_King", "film_release_region", "Peru" ], [ "The_Lion_King", "film_release_region", "Philippines" ], [ "The_Lion_King", "film_release_region", "Singapore" ], [ "The_Lion_King", "film_release_region", "Slovakia" ], [ "The_Lion_King", "film_release_region", "South_Korea" ], [ "Toni_Braxton", "location", "Atlanta" ], [ "Tyler_Perry", "location", "Atlanta" ], [ "Usher", "location", "Atlanta" ], [ "Whoopi_Goldberg", "acted_in", "The_Lion_King" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 12668, Alvin_and_the_Chipmunks:_Chipwrecked 4508, Animation 9374, Arthur_Christmas 3272, Atheism 2612, Author-GB 13543, Bachelor's_degree 3966, Brave 8696, Cameo_appearance 9757, Cars 6273, Cars_2 5128, Comedian 14190, County_Roscommon 11485, E.T._the_Extra-Terrestrial 7938, Executive_Producer 10181, Family_Guy 3074, Family_Guy_Presents:_Stewie_Griffin:_The_Untold_Story 1762, Father_of_the_Bride_Part_II 10317, Fayetteville 5625, Gwyneth_Paltrow 13696, Iron_Man 6030, Julianne_Moore 12532, Jurassic_Park 5661, Kung_Fu_Panda_2 8427, Looney_Tunes:_Back_in_Action 4262, Mark_Wahlberg 13504, Men_in_Black_3 10330, Monsters,_Inc. 10766, Republic_of_Ireland 3509, Seth_MacFarlane 5910, Sherlock_Holmes:_A_Game_of_Shadows 6473, Steve_Martin 10546, Steven_Spielberg 5157, Ted 7524, The_Adventures_of_Tintin:_The_Secret_of_the_Unicorn 5121, The_Lost_World:_Jurassic_Park 3550, The_Smurfs 6007, Tom_Cruise 12837, Toy_Story 10396, Toy_Story_3 8937, Transformers:_Dark_of_the_Moon 3972, Wreck-It_Ralph src, edge_attr, dst 12668, film_release_region, 10766 12668, genre, 4508 4508, student, 3509 9374, film_release_region, 10766 9374, genre, 4508 13543, major_field_of_study, 4508 13543, student, 6030 13543, student, 3509 3966, film_release_region, 10766 3966, genre, 4508 8696, film, 9757 8696, film, 13696 8696, film, 8427 8696, film, 13504 8696, film, 5910 9757, film_release_region, 10766 9757, genre, 4508 6273, film_release_region, 10766 6273, genre, 4508 11485, award_winner, 10546 11485, film_release_region, 10766 11485, produced_by, 10546 10181, actor, 3509 10181, award_winner, 3509 10181, genre, 4508 10181, program_creator, 3509 3074, genre, 4508 3074, produced_by, 3509 3074, story_by, 3509 1762, film_release_region, 10766 10317, place, 10317 5625, friend, 10546 5625, special_performance_type, 8696 13696, film_release_region, 10766 6030, acted_in, 5121 6030, award_nominee, 4262 6030, award_nominee, 6007 6030, award_winner, 6007 6030, location, 10317 6030, profession, 2612 6030, religion, 3272 12532, award_winner, 10546 12532, film_release_region, 10766 12532, produced_by, 10546 5661, film_release_region, 10766 5661, genre, 4508 8427, genre, 4508 8427, produced_by, 3509 4262, award_nominee, 6030 4262, award_nominee, 3509 13504, executive_produced_by, 10546 13504, film_release_region, 10766 10330, film_release_region, 10766 10330, genre, 4508 10766, contains, 14190 10766, religion, 3272 10766, second_level_divisions, 14190 3509, acted_in, 3074 3509, acted_in, 5157 3509, award_nominee, 4262 3509, film, 5157 3509, nominated_for, 10181 3509, nominated_for, 5157 3509, producer_type, 7938 3509, profession, 5128 3509, program, 10181 3509, religion, 3272 3509, tv_program, 10181 5910, film_release_region, 10766 6473, acted_in, 1762 6473, acted_in, 8427 6473, profession, 2612 6473, profession, 5128 10546, film, 11485 10546, film, 12532 10546, film, 8427 10546, film, 7524 10546, film, 5121 10546, friend, 5625 10546, nominated_for, 11485 10546, producer_type, 7938 10546, special_performance_type, 8696 5157, film_release_region, 10766 5157, story_by, 3509 5157, written_by, 3509 7524, genre, 4508 7524, produced_by, 10546 3550, film_release_region, 10766 3550, genre, 4508 6007, award_nominee, 6030 6007, award_winner, 6030 6007, participant, 10546 6007, special_performance_type, 8696 12837, film_release_region, 10766 12837, genre, 4508 10396, film_release_region, 10766 10396, genre, 4508 8937, executive_produced_by, 10546 8937, film_release_region, 10766 3972, film_release_region, 10766 3972, genre, 4508 Question: How are County_Roscommon, Fayetteville, and Looney_Tunes:_Back_in_Action related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "County_Roscommon", "Fayetteville", "Looney_Tunes:_Back_in_Action" ], "valid_edges": [ [ "Alvin_and_the_Chipmunks:_Chipwrecked", "film_release_region", "Republic_of_Ireland" ], [ "Alvin_and_the_Chipmunks:_Chipwrecked", "genre", "Animation" ], [ "Animation", "student", "Seth_MacFarlane" ], [ "Arthur_Christmas", "film_release_region", "Republic_of_Ireland" ], [ "Arthur_Christmas", "genre", "Animation" ], [ "Bachelor's_degree", "major_field_of_study", "Animation" ], [ "Bachelor's_degree", "student", "Julianne_Moore" ], [ "Bachelor's_degree", "student", "Seth_MacFarlane" ], [ "Brave", "film_release_region", "Republic_of_Ireland" ], [ "Brave", "genre", "Animation" ], [ "Cameo_appearance", "film", "Cars" ], [ "Cameo_appearance", "film", "Iron_Man" ], [ "Cameo_appearance", "film", "Looney_Tunes:_Back_in_Action" ], [ "Cameo_appearance", "film", "Men_in_Black_3" ], [ "Cameo_appearance", "film", "Sherlock_Holmes:_A_Game_of_Shadows" ], [ "Cars", "film_release_region", "Republic_of_Ireland" ], [ "Cars", "genre", "Animation" ], [ "Cars_2", "film_release_region", "Republic_of_Ireland" ], [ "Cars_2", "genre", "Animation" ], [ "E.T._the_Extra-Terrestrial", "award_winner", "Steven_Spielberg" ], [ "E.T._the_Extra-Terrestrial", "film_release_region", "Republic_of_Ireland" ], [ "E.T._the_Extra-Terrestrial", "produced_by", "Steven_Spielberg" ], [ "Family_Guy", "actor", "Seth_MacFarlane" ], [ "Family_Guy", "award_winner", "Seth_MacFarlane" ], [ "Family_Guy", "genre", "Animation" ], [ "Family_Guy", "program_creator", "Seth_MacFarlane" ], [ "Family_Guy_Presents:_Stewie_Griffin:_The_Untold_Story", "genre", "Animation" ], [ "Family_Guy_Presents:_Stewie_Griffin:_The_Untold_Story", "produced_by", "Seth_MacFarlane" ], [ "Family_Guy_Presents:_Stewie_Griffin:_The_Untold_Story", "story_by", "Seth_MacFarlane" ], [ "Father_of_the_Bride_Part_II", "film_release_region", "Republic_of_Ireland" ], [ "Fayetteville", "place", "Fayetteville" ], [ "Gwyneth_Paltrow", "friend", "Steven_Spielberg" ], [ "Gwyneth_Paltrow", "special_performance_type", "Cameo_appearance" ], [ "Iron_Man", "film_release_region", "Republic_of_Ireland" ], [ "Julianne_Moore", "acted_in", "The_Lost_World:_Jurassic_Park" ], [ "Julianne_Moore", "award_nominee", "Mark_Wahlberg" ], [ "Julianne_Moore", "award_nominee", "Tom_Cruise" ], [ "Julianne_Moore", "award_winner", "Tom_Cruise" ], [ "Julianne_Moore", "location", "Fayetteville" ], [ "Julianne_Moore", "profession", "Author-GB" ], [ "Julianne_Moore", "religion", "Atheism" ], [ "Jurassic_Park", "award_winner", "Steven_Spielberg" ], [ "Jurassic_Park", "film_release_region", "Republic_of_Ireland" ], [ "Jurassic_Park", "produced_by", "Steven_Spielberg" ], [ "Kung_Fu_Panda_2", "film_release_region", "Republic_of_Ireland" ], [ "Kung_Fu_Panda_2", "genre", "Animation" ], [ "Looney_Tunes:_Back_in_Action", "genre", "Animation" ], [ "Looney_Tunes:_Back_in_Action", "produced_by", "Seth_MacFarlane" ], [ "Mark_Wahlberg", "award_nominee", "Julianne_Moore" ], [ "Mark_Wahlberg", "award_nominee", "Seth_MacFarlane" ], [ "Men_in_Black_3", "executive_produced_by", "Steven_Spielberg" ], [ "Men_in_Black_3", "film_release_region", "Republic_of_Ireland" ], [ "Monsters,_Inc.", "film_release_region", "Republic_of_Ireland" ], [ "Monsters,_Inc.", "genre", "Animation" ], [ "Republic_of_Ireland", "contains", "County_Roscommon" ], [ "Republic_of_Ireland", "religion", "Atheism" ], [ "Republic_of_Ireland", "second_level_divisions", "County_Roscommon" ], [ "Seth_MacFarlane", "acted_in", "Family_Guy_Presents:_Stewie_Griffin:_The_Untold_Story" ], [ "Seth_MacFarlane", "acted_in", "Ted" ], [ "Seth_MacFarlane", "award_nominee", "Mark_Wahlberg" ], [ "Seth_MacFarlane", "film", "Ted" ], [ "Seth_MacFarlane", "nominated_for", "Family_Guy" ], [ "Seth_MacFarlane", "nominated_for", "Ted" ], [ "Seth_MacFarlane", "producer_type", "Executive_Producer" ], [ "Seth_MacFarlane", "profession", "Comedian" ], [ "Seth_MacFarlane", "program", "Family_Guy" ], [ "Seth_MacFarlane", "religion", "Atheism" ], [ "Seth_MacFarlane", "tv_program", "Family_Guy" ], [ "Sherlock_Holmes:_A_Game_of_Shadows", "film_release_region", "Republic_of_Ireland" ], [ "Steve_Martin", "acted_in", "Father_of_the_Bride_Part_II" ], [ "Steve_Martin", "acted_in", "Looney_Tunes:_Back_in_Action" ], [ "Steve_Martin", "profession", "Author-GB" ], [ "Steve_Martin", "profession", "Comedian" ], [ "Steven_Spielberg", "film", "E.T._the_Extra-Terrestrial" ], [ "Steven_Spielberg", "film", "Jurassic_Park" ], [ "Steven_Spielberg", "film", "Looney_Tunes:_Back_in_Action" ], [ "Steven_Spielberg", "film", "The_Adventures_of_Tintin:_The_Secret_of_the_Unicorn" ], [ "Steven_Spielberg", "film", "The_Lost_World:_Jurassic_Park" ], [ "Steven_Spielberg", "friend", "Gwyneth_Paltrow" ], [ "Steven_Spielberg", "nominated_for", "E.T._the_Extra-Terrestrial" ], [ "Steven_Spielberg", "producer_type", "Executive_Producer" ], [ "Steven_Spielberg", "special_performance_type", "Cameo_appearance" ], [ "Ted", "film_release_region", "Republic_of_Ireland" ], [ "Ted", "story_by", "Seth_MacFarlane" ], [ "Ted", "written_by", "Seth_MacFarlane" ], [ "The_Adventures_of_Tintin:_The_Secret_of_the_Unicorn", "genre", "Animation" ], [ "The_Adventures_of_Tintin:_The_Secret_of_the_Unicorn", "produced_by", "Steven_Spielberg" ], [ "The_Smurfs", "film_release_region", "Republic_of_Ireland" ], [ "The_Smurfs", "genre", "Animation" ], [ "Tom_Cruise", "award_nominee", "Julianne_Moore" ], [ "Tom_Cruise", "award_winner", "Julianne_Moore" ], [ "Tom_Cruise", "participant", "Steven_Spielberg" ], [ "Tom_Cruise", "special_performance_type", "Cameo_appearance" ], [ "Toy_Story", "film_release_region", "Republic_of_Ireland" ], [ "Toy_Story", "genre", "Animation" ], [ "Toy_Story_3", "film_release_region", "Republic_of_Ireland" ], [ "Toy_Story_3", "genre", "Animation" ], [ "Transformers:_Dark_of_the_Moon", "executive_produced_by", "Steven_Spielberg" ], [ "Transformers:_Dark_of_the_Moon", "film_release_region", "Republic_of_Ireland" ], [ "Wreck-It_Ralph", "film_release_region", "Republic_of_Ireland" ], [ "Wreck-It_Ralph", "genre", "Animation" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 12598, 40th_Academy_Awards 12767, Beloved 2194, Charterhouse_School 11175, Earlham_College 1616, In_the_Heat_of_the_Night 2495, Maroon 6354, Rachel_Portman 3542, Racism 3244, Richmond 787, Rod_Steiger 12637, Stirling_Silliphant 6136, The_Human_Stain 12948, Virginia_Union_University src, edge_attr, dst 12598, award_winner, 787 12598, award_winner, 12637 12598, honored_for, 1616 12767, film_music, 6354 2194, colors, 2495 2194, student, 6354 11175, colors, 2495 11175, educational_institution, 11175 1616, award_winner, 787 1616, award_winner, 12637 1616, written_by, 12637 6354, nominated_for, 12767 3542, films, 12767 3542, films, 1616 3542, films, 6136 3244, contains, 11175 3244, contains, 12948 3244, county, 3244 3244, place, 3244 787, acted_in, 1616 12637, nominated_for, 1616 6136, film_music, 6354 12948, campuses, 12948 12948, citytown, 3244 12948, colors, 2495 12948, educational_institution, 12948 Question: How are Rachel_Portman, Richmond, and Stirling_Silliphant related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Rachel_Portman", "Richmond", "Stirling_Silliphant" ], "valid_edges": [ [ "40th_Academy_Awards", "award_winner", "Rod_Steiger" ], [ "40th_Academy_Awards", "award_winner", "Stirling_Silliphant" ], [ "40th_Academy_Awards", "honored_for", "In_the_Heat_of_the_Night" ], [ "Beloved", "film_music", "Rachel_Portman" ], [ "Charterhouse_School", "colors", "Maroon" ], [ "Charterhouse_School", "student", "Rachel_Portman" ], [ "Earlham_College", "colors", "Maroon" ], [ "Earlham_College", "educational_institution", "Earlham_College" ], [ "In_the_Heat_of_the_Night", "award_winner", "Rod_Steiger" ], [ "In_the_Heat_of_the_Night", "award_winner", "Stirling_Silliphant" ], [ "In_the_Heat_of_the_Night", "written_by", "Stirling_Silliphant" ], [ "Rachel_Portman", "nominated_for", "Beloved" ], [ "Racism", "films", "Beloved" ], [ "Racism", "films", "In_the_Heat_of_the_Night" ], [ "Racism", "films", "The_Human_Stain" ], [ "Richmond", "contains", "Earlham_College" ], [ "Richmond", "contains", "Virginia_Union_University" ], [ "Richmond", "county", "Richmond" ], [ "Richmond", "place", "Richmond" ], [ "Rod_Steiger", "acted_in", "In_the_Heat_of_the_Night" ], [ "Stirling_Silliphant", "nominated_for", "In_the_Heat_of_the_Night" ], [ "The_Human_Stain", "film_music", "Rachel_Portman" ], [ "Virginia_Union_University", "campuses", "Virginia_Union_University" ], [ "Virginia_Union_University", "citytown", "Richmond" ], [ "Virginia_Union_University", "colors", "Maroon" ], [ "Virginia_Union_University", "educational_institution", "Virginia_Union_University" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 11367, 1936_Summer_Olympics 7928, 1972_Summer_Olympics 7439, 1992_Summer_Olympics 6392, 1992_Winter_Olympics 5468, 2000_Summer_Olympics 1970, 2004_Summer_Olympics 3108, 2010_Winter_Olympics 10812, A_Dangerous_Method 8721, Albert_Nobbs 906, Archery 10288, Artistic_gymnastics 13923, Bad_Education 11081, Big_Fish 4, Boxing 10817, Bronze_medal 624, Chile 5379, Christianity 2658, Clinton_County 1796, Colombia 7535, Croatia 7793, Diving 11011, Earth 4148, Ecuador 9838, Eurasia 4076, Euro 13477, Freestyle_wrestling 5701, Gold_medal 5538, In_America 1177, James_A._Michener 3980, Judo 10100, Kenya 3599, Korean_War 4755, Latvia 10179, League_of_Nations 10952, Lebanon 4659, Luxembourg 8195, North_Korea 11369, Panama 7193, Pennsylvania 2988, Peru 424, Road_cycling 9681, Road_running 8954, Sayonara 9157, Serbia 4413, Shooting_sport 6332, Silver_medal 80, Slovakia 10589, Slovenia 7758, Sovereign_state 1308, Swimming 10860, Table_tennis 4038, Tennis 4868, Thailand 5209, The_Artist 6435, The_Manchurian_Candidate 6606, Umbria 4766, Unitary_state 2445, United_Arab_Emirates 7850, United_Nations 41, Venezuela 1853, War_film 2360, World_Bank 4674, World_Trade_Organization src, edge_attr, dst 11367, participating_countries, 1796 11367, participating_countries, 4659 3108, participating_countries, 4659 3108, participating_countries, 8195 10812, currency, 4076 10812, film_release_region, 1796 8721, currency, 4076 8721, film_release_region, 1796 906, country, 1796 906, country, 4659 906, country, 8195 10288, country, 1796 10288, country, 8195 13923, currency, 4076 13923, film_release_region, 4659 11081, film_release_region, 624 11081, film_release_region, 1796 11081, film_release_region, 7535 11081, film_release_region, 4148 11081, film_release_region, 10100 11081, film_release_region, 4755 11081, film_release_region, 10952 11081, film_release_region, 2988 11081, film_release_region, 9157 11081, film_release_region, 80 11081, film_release_region, 10589 11081, film_release_region, 4868 11081, film_release_region, 2445 11081, film_release_region, 41 11081, genre, 1853 4, country, 1796 4, country, 8195 624, organization, 7850 1796, adjoins, 2988 1796, adjoins, 41 1796, administrative_area_type, 7758 1796, administrative_parent, 11011 1796, form_of_government, 4766 1796, medal, 10817 1796, medal, 5701 1796, medal, 6332 1796, olympics, 7928 1796, olympics, 7439 1796, olympics, 5468 1796, olympics, 1970 1796, olympics, 3108 1796, organization, 10179 1796, organization, 7850 1796, organization, 2360 7535, organization, 7850 7793, country, 1796 7793, country, 8195 4148, adjoins, 1796 4148, organization, 7850 9838, contains, 4659 9838, contains, 8195 13477, country, 1796 13477, country, 8195 5538, film_release_region, 1796 5538, film_release_region, 4659 1177, location, 7193 3980, country, 1796 3980, country, 4659 3980, country, 8195 10100, organization, 7850 3599, combatants, 1796 3599, combatants, 4659 3599, combatants, 8195 3599, combatants, 7850 3599, films, 11081 3599, films, 8954 3599, films, 6435 4755, organization, 7850 10952, organization, 7850 4659, administrative_area_type, 7758 4659, administrative_parent, 11011 4659, capital, 4659 4659, contains, 4659 4659, form_of_government, 4766 4659, medal, 5701 4659, medal, 6332 4659, olympics, 6392 4659, olympics, 1970 4659, organization, 10179 4659, organization, 7850 4659, organization, 2360 8195, administrative_area_type, 7758 8195, administrative_parent, 11011 8195, form_of_government, 4766 8195, medal, 10817 8195, medal, 5701 8195, medal, 6332 8195, olympics, 7928 8195, olympics, 7439 8195, olympics, 6392 8195, olympics, 5468 8195, olympics, 1970 8195, organization, 7850 8195, religion, 5379 11369, adjoins, 1796 11369, organization, 7850 7193, contains, 2658 7193, religion, 5379 2988, adjoins, 1796 2988, organization, 7850 424, country, 1796 424, country, 4659 9681, country, 1796 9681, country, 8195 8954, genre, 1853 8954, story_by, 1177 9157, organization, 7850 4413, country, 1796 4413, country, 4659 4413, country, 8195 80, organization, 7850 10589, organization, 7850 1308, country, 1796 1308, country, 4659 10860, country, 1796 10860, country, 4659 10860, country, 8195 4038, country, 1796 4038, country, 4659 4868, organization, 7850 5209, currency, 4076 5209, film_release_region, 1796 6435, genre, 1853 6606, currency, 4076 2445, organization, 7850 41, adjoins, 1796 41, organization, 7850 4674, member_states, 1796 4674, member_states, 4659 Question: How are Clinton_County, Korean_War, and Umbria related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Clinton_County", "Korean_War", "Umbria" ], "valid_edges": [ [ "1936_Summer_Olympics", "participating_countries", "Colombia" ], [ "1936_Summer_Olympics", "participating_countries", "Luxembourg" ], [ "2010_Winter_Olympics", "participating_countries", "Luxembourg" ], [ "2010_Winter_Olympics", "participating_countries", "North_Korea" ], [ "A_Dangerous_Method", "currency", "Euro" ], [ "A_Dangerous_Method", "film_release_region", "Colombia" ], [ "Albert_Nobbs", "currency", "Euro" ], [ "Albert_Nobbs", "film_release_region", "Colombia" ], [ "Archery", "country", "Colombia" ], [ "Archery", "country", "Luxembourg" ], [ "Archery", "country", "North_Korea" ], [ "Artistic_gymnastics", "country", "Colombia" ], [ "Artistic_gymnastics", "country", "North_Korea" ], [ "Bad_Education", "currency", "Euro" ], [ "Bad_Education", "film_release_region", "Luxembourg" ], [ "Big_Fish", "film_release_region", "Chile" ], [ "Big_Fish", "film_release_region", "Colombia" ], [ "Big_Fish", "film_release_region", "Croatia" ], [ "Big_Fish", "film_release_region", "Ecuador" ], [ "Big_Fish", "film_release_region", "Kenya" ], [ "Big_Fish", "film_release_region", "Latvia" ], [ "Big_Fish", "film_release_region", "Lebanon" ], [ "Big_Fish", "film_release_region", "Peru" ], [ "Big_Fish", "film_release_region", "Serbia" ], [ "Big_Fish", "film_release_region", "Slovakia" ], [ "Big_Fish", "film_release_region", "Slovenia" ], [ "Big_Fish", "film_release_region", "Thailand" ], [ "Big_Fish", "film_release_region", "United_Arab_Emirates" ], [ "Big_Fish", "film_release_region", "Venezuela" ], [ "Big_Fish", "genre", "War_film" ], [ "Boxing", "country", "Colombia" ], [ "Boxing", "country", "North_Korea" ], [ "Chile", "organization", "United_Nations" ], [ "Colombia", "adjoins", "Peru" ], [ "Colombia", "adjoins", "Venezuela" ], [ "Colombia", "administrative_area_type", "Sovereign_state" ], [ "Colombia", "administrative_parent", "Earth" ], [ "Colombia", "form_of_government", "Unitary_state" ], [ "Colombia", "medal", "Bronze_medal" ], [ "Colombia", "medal", "Gold_medal" ], [ "Colombia", "medal", "Silver_medal" ], [ "Colombia", "olympics", "1972_Summer_Olympics" ], [ "Colombia", "olympics", "1992_Summer_Olympics" ], [ "Colombia", "olympics", "2000_Summer_Olympics" ], [ "Colombia", "olympics", "2004_Summer_Olympics" ], [ "Colombia", "olympics", "2010_Winter_Olympics" ], [ "Colombia", "organization", "League_of_Nations" ], [ "Colombia", "organization", "United_Nations" ], [ "Colombia", "organization", "World_Bank" ], [ "Croatia", "organization", "United_Nations" ], [ "Diving", "country", "Colombia" ], [ "Diving", "country", "North_Korea" ], [ "Ecuador", "adjoins", "Colombia" ], [ "Ecuador", "organization", "United_Nations" ], [ "Eurasia", "contains", "Luxembourg" ], [ "Eurasia", "contains", "North_Korea" ], [ "Freestyle_wrestling", "country", "Colombia" ], [ "Freestyle_wrestling", "country", "North_Korea" ], [ "In_America", "film_release_region", "Colombia" ], [ "In_America", "film_release_region", "Luxembourg" ], [ "James_A._Michener", "location", "Pennsylvania" ], [ "Judo", "country", "Colombia" ], [ "Judo", "country", "Luxembourg" ], [ "Judo", "country", "North_Korea" ], [ "Kenya", "organization", "United_Nations" ], [ "Korean_War", "combatants", "Colombia" ], [ "Korean_War", "combatants", "Luxembourg" ], [ "Korean_War", "combatants", "North_Korea" ], [ "Korean_War", "combatants", "United_Nations" ], [ "Korean_War", "films", "Big_Fish" ], [ "Korean_War", "films", "Sayonara" ], [ "Korean_War", "films", "The_Manchurian_Candidate" ], [ "Latvia", "organization", "United_Nations" ], [ "Lebanon", "organization", "United_Nations" ], [ "Luxembourg", "administrative_area_type", "Sovereign_state" ], [ "Luxembourg", "administrative_parent", "Earth" ], [ "Luxembourg", "capital", "Luxembourg" ], [ "Luxembourg", "contains", "Luxembourg" ], [ "Luxembourg", "form_of_government", "Unitary_state" ], [ "Luxembourg", "medal", "Gold_medal" ], [ "Luxembourg", "medal", "Silver_medal" ], [ "Luxembourg", "olympics", "1992_Winter_Olympics" ], [ "Luxembourg", "olympics", "2004_Summer_Olympics" ], [ "Luxembourg", "organization", "League_of_Nations" ], [ "Luxembourg", "organization", "United_Nations" ], [ "Luxembourg", "organization", "World_Bank" ], [ "North_Korea", "administrative_area_type", "Sovereign_state" ], [ "North_Korea", "administrative_parent", "Earth" ], [ "North_Korea", "form_of_government", "Unitary_state" ], [ "North_Korea", "medal", "Bronze_medal" ], [ "North_Korea", "medal", "Gold_medal" ], [ "North_Korea", "medal", "Silver_medal" ], [ "North_Korea", "olympics", "1972_Summer_Olympics" ], [ "North_Korea", "olympics", "1992_Summer_Olympics" ], [ "North_Korea", "olympics", "1992_Winter_Olympics" ], [ "North_Korea", "olympics", "2000_Summer_Olympics" ], [ "North_Korea", "olympics", "2004_Summer_Olympics" ], [ "North_Korea", "organization", "United_Nations" ], [ "North_Korea", "religion", "Christianity" ], [ "Panama", "adjoins", "Colombia" ], [ "Panama", "organization", "United_Nations" ], [ "Pennsylvania", "contains", "Clinton_County" ], [ "Pennsylvania", "religion", "Christianity" ], [ "Peru", "adjoins", "Colombia" ], [ "Peru", "organization", "United_Nations" ], [ "Road_cycling", "country", "Colombia" ], [ "Road_cycling", "country", "Luxembourg" ], [ "Road_running", "country", "Colombia" ], [ "Road_running", "country", "North_Korea" ], [ "Sayonara", "genre", "War_film" ], [ "Sayonara", "story_by", "James_A._Michener" ], [ "Serbia", "organization", "United_Nations" ], [ "Shooting_sport", "country", "Colombia" ], [ "Shooting_sport", "country", "Luxembourg" ], [ "Shooting_sport", "country", "North_Korea" ], [ "Slovakia", "organization", "United_Nations" ], [ "Slovenia", "organization", "United_Nations" ], [ "Swimming", "country", "Colombia" ], [ "Swimming", "country", "Luxembourg" ], [ "Table_tennis", "country", "Colombia" ], [ "Table_tennis", "country", "Luxembourg" ], [ "Table_tennis", "country", "North_Korea" ], [ "Tennis", "country", "Colombia" ], [ "Tennis", "country", "Luxembourg" ], [ "Thailand", "organization", "United_Nations" ], [ "The_Artist", "currency", "Euro" ], [ "The_Artist", "film_release_region", "Colombia" ], [ "The_Manchurian_Candidate", "genre", "War_film" ], [ "Umbria", "currency", "Euro" ], [ "United_Arab_Emirates", "organization", "United_Nations" ], [ "Venezuela", "adjoins", "Colombia" ], [ "Venezuela", "organization", "United_Nations" ], [ "World_Trade_Organization", "member_states", "Colombia" ], [ "World_Trade_Organization", "member_states", "Luxembourg" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 12859, Adam_McKay 9971, Apocalypse_Now 4251, Bette_Midler 12525, Bewitched 4563, Chronicle 104, David_Koechner 5113, Harry_Dean_Stanton 7839, Michael_Clarke_Duncan 11320, Parody 7986, Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program 605, Sacha_Baron_Cohen 4807, Talladega_Nights:_The_Ballad_of_Ricky_Bobby 8969, The_Other_Guys 7385, The_Rose 14230, Vietnam 5803, Vietnam_War 4081, Vietnamese_Language 11224, Will_Ferrell src, edge_attr, dst 12859, acted_in, 4807 12859, award_nominee, 11224 12859, film, 4807 12859, film, 8969 12859, nominated_for, 12525 9971, honored_for, 7385 9971, language, 4081 9971, nominated_for, 7385 4251, acted_in, 7385 4251, award, 7986 4251, nominated_for, 7385 12525, award_winner, 11224 12525, written_by, 12859 4563, film_release_region, 14230 104, acted_in, 4807 104, award_nominee, 11224 5113, acted_in, 7385 5113, award_nominee, 7839 7839, acted_in, 4807 7839, award_nominee, 5113 605, acted_in, 4807 605, award_nominee, 11224 4807, award_winner, 11224 4807, executive_produced_by, 11224 4807, genre, 11320 4807, written_by, 12859 4807, written_by, 11224 8969, genre, 11320 8969, produced_by, 12859 7385, award_winner, 4251 7385, honored_for, 9971 7385, nominated_for, 9971 14230, official_language, 4081 5803, films, 9971 5803, locations, 14230 11224, acted_in, 4807 11224, award, 7986 11224, award_nominee, 12859 11224, award_nominee, 104 11224, award_nominee, 605 11224, award_winner, 605 11224, nominated_for, 12525 11224, nominated_for, 4807 11224, nominated_for, 8969 Question: In what context are Adam_McKay, Chronicle, and The_Rose connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Adam_McKay", "Chronicle", "The_Rose" ], "valid_edges": [ [ "Adam_McKay", "acted_in", "Talladega_Nights:_The_Ballad_of_Ricky_Bobby" ], [ "Adam_McKay", "award_nominee", "Will_Ferrell" ], [ "Adam_McKay", "film", "Talladega_Nights:_The_Ballad_of_Ricky_Bobby" ], [ "Adam_McKay", "film", "The_Other_Guys" ], [ "Adam_McKay", "nominated_for", "Bewitched" ], [ "Apocalypse_Now", "honored_for", "The_Rose" ], [ "Apocalypse_Now", "language", "Vietnamese_Language" ], [ "Apocalypse_Now", "nominated_for", "The_Rose" ], [ "Bette_Midler", "acted_in", "The_Rose" ], [ "Bette_Midler", "award", "Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program" ], [ "Bette_Midler", "nominated_for", "The_Rose" ], [ "Bewitched", "award_winner", "Will_Ferrell" ], [ "Bewitched", "written_by", "Adam_McKay" ], [ "Chronicle", "film_release_region", "Vietnam" ], [ "David_Koechner", "acted_in", "Talladega_Nights:_The_Ballad_of_Ricky_Bobby" ], [ "David_Koechner", "award_nominee", "Will_Ferrell" ], [ "Harry_Dean_Stanton", "acted_in", "The_Rose" ], [ "Harry_Dean_Stanton", "award_nominee", "Michael_Clarke_Duncan" ], [ "Michael_Clarke_Duncan", "acted_in", "Talladega_Nights:_The_Ballad_of_Ricky_Bobby" ], [ "Michael_Clarke_Duncan", "award_nominee", "Harry_Dean_Stanton" ], [ "Sacha_Baron_Cohen", "acted_in", "Talladega_Nights:_The_Ballad_of_Ricky_Bobby" ], [ "Sacha_Baron_Cohen", "award_nominee", "Will_Ferrell" ], [ "Talladega_Nights:_The_Ballad_of_Ricky_Bobby", "award_winner", "Will_Ferrell" ], [ "Talladega_Nights:_The_Ballad_of_Ricky_Bobby", "executive_produced_by", "Will_Ferrell" ], [ "Talladega_Nights:_The_Ballad_of_Ricky_Bobby", "genre", "Parody" ], [ "Talladega_Nights:_The_Ballad_of_Ricky_Bobby", "written_by", "Adam_McKay" ], [ "Talladega_Nights:_The_Ballad_of_Ricky_Bobby", "written_by", "Will_Ferrell" ], [ "The_Other_Guys", "genre", "Parody" ], [ "The_Other_Guys", "produced_by", "Adam_McKay" ], [ "The_Rose", "award_winner", "Bette_Midler" ], [ "The_Rose", "honored_for", "Apocalypse_Now" ], [ "The_Rose", "nominated_for", "Apocalypse_Now" ], [ "Vietnam", "official_language", "Vietnamese_Language" ], [ "Vietnam_War", "films", "Apocalypse_Now" ], [ "Vietnam_War", "locations", "Vietnam" ], [ "Will_Ferrell", "acted_in", "Talladega_Nights:_The_Ballad_of_Ricky_Bobby" ], [ "Will_Ferrell", "award", "Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program" ], [ "Will_Ferrell", "award_nominee", "Adam_McKay" ], [ "Will_Ferrell", "award_nominee", "David_Koechner" ], [ "Will_Ferrell", "award_nominee", "Sacha_Baron_Cohen" ], [ "Will_Ferrell", "award_winner", "Sacha_Baron_Cohen" ], [ "Will_Ferrell", "nominated_for", "Bewitched" ], [ "Will_Ferrell", "nominated_for", "Talladega_Nights:_The_Ballad_of_Ricky_Bobby" ], [ "Will_Ferrell", "nominated_for", "The_Other_Guys" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 5273, 50th_Annual_Grammy_Awards-US 13775, AOL 1987, AT&T 286, Amazon.com 10621, American_Airlines 9737, Amy_Winehouse 6718, Associated_Press 5295, Atlantic_Records 9956, Australian_Broadcasting_Corporation 12421, Avid_Technology 4716, Bank_of_America_Corporation 5938, Barbados 9903, Boeing 118, CBS_Corporation 5225, Cash_Money_Records 3303, Catholicism 10243, Chris_Brown 10334, Christina_Aguilera 1632, Citigroup 5206, Columbia 10409, Composer 11854, Contemporary_R&B 4199, Dance_music 4708, Def_Jam_Recordings 3886, Dell 4662, Drake 11011, Earth 4148, Ecuador 7246, Elsevier_BV 2139, Eminem 1001, Ford_Motor_Company 5134, Fueled_by_Ramen 629, Gameloft 12489, Gap_Inc. 10830, General_Electric 8249, Google 10490, Grammy_Award_for_Album_of_the_Year 5614, Grammy_Award_for_Best_New_Artist 13185, Grammy_Award_for_Best_Pop_Collaboration_with_Vocals 11111, Grammy_Award_for_Best_Pop_Vocal_Album 3772, Grammy_Award_for_Best_Rap/Sung_Collaboration 8007, Grammy_Award_for_Record_of_the_Year 7379, Gwynedd 2176, HBO 11925, Hearst_Corporation 13230, Hip_hop_music 7768, IBM 6420, Interscope_Records 2434, Island_Records 9611, JPMorgan_Chase 1700, Jamaica 6111, Jazz 6048, Judaism-GB 614, Library_of_Congress_Classification 9116, Lockheed_Martin 3215, MTV_Video_Music_Award_for_Artist_to_Watch 11269, MTV_Video_Music_Award_for_Best_Art_Direction 5474, MTV_Video_Music_Award_for_Best_Cinematography 2095, MTV_Video_Music_Award_for_Best_Female_Video 10227, MTV_Video_Music_Award_for_Best_Male_Video 7874, MTV_Video_Music_Award_for_Best_Pop_Video 10555, MTV_Video_Music_Award_for_Video_of_the_Year 10286, Managing_Director-GB 9192, Maroon_5 9187, Merck_&_Co. 3448, New_York 10801, News_Corporation 13180, Oracle_Corporation 846, Panic!_at_the_Disco 10738, Phil_Tan 12795, Pop_music 5241, Pop_rock 9019, Qantas 5037, Record_producer-GB 3693, Rhythm_and_blues 9695, Rihanna 5984, Rockstar_Games 10323, Ryanair 1345, Simon_Property_Group 5277, Singer-songwriter-GB 5776, Sirius_Satellite_Radio 11972, Songwriter-GB 5958, Sony_BMG_Music_Entertainment 2444, Sony_Corporation 7906, Sony_Music_Entertainment 426, Soul_music 6148, Sprint_Corporation 6350, Sunderland_A.F.C. 9355, Target_Corporation 2985, The_Island_Def_Jam_Music_Group 444, The_New_York_Times_Company 677, Time_Warner 7977, Universal_Music_Group 706, Universal_Republic_Records 2309, Verizon_Communications 7, Vivendi 9048, Wales 517, Warner_Music_Group 2360, World_Bank 5014, World_Wrestling_Entertainment 1411, Xerox 7290, easyJet src, edge_attr, dst 5273, award_winner, 9737 5273, award_winner, 9695 13775, state_province_region, 3448 1987, service_location, 11011 286, service_location, 11011 10621, service_location, 11011 9737, award, 10490 9737, award, 5614 9737, award, 11111 9737, award, 3772 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service_location, 11011 7906, state_province_region, 3448 426, artists, 9737 426, artists, 10243 426, artists, 10334 6148, service_location, 11011 6350, service_location, 11011 9355, service_location, 11011 2985, service_location, 11011 444, citytown, 3448 444, state_province_region, 3448 677, state_province_region, 3448 7977, service_location, 11011 706, artist, 9737 706, artist, 4662 2309, state_province_region, 3448 7, state_province_region, 3448 9048, contains, 7379 9048, taxonomy, 614 517, state_province_region, 3448 2360, service_location, 11011 5014, service_location, 11011 1411, state_province_region, 3448 7290, service_location, 11011 Question: For what reason are Associated_Press, Gwynedd, and MTV_Video_Music_Award_for_Video_of_the_Year associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
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"Lockheed_Martin" ], [ "Managing_Director-GB", "organization", "Merck_&_Co." ], [ "Managing_Director-GB", "organization", "Oracle_Corporation" ], [ "Managing_Director-GB", "organization", "Qantas" ], [ "Managing_Director-GB", "organization", "Rockstar_Games" ], [ "Managing_Director-GB", "organization", "Ryanair" ], [ "Managing_Director-GB", "organization", "Sirius_Satellite_Radio" ], [ "Managing_Director-GB", "organization", "Sony_Corporation" ], [ "Managing_Director-GB", "organization", "Sony_Music_Entertainment" ], [ "Managing_Director-GB", "organization", "Sprint_Corporation" ], [ "Managing_Director-GB", "organization", "Sunderland_A.F.C." ], [ "Managing_Director-GB", "organization", "Target_Corporation" ], [ "Managing_Director-GB", "organization", "The_Island_Def_Jam_Music_Group" ], [ "Managing_Director-GB", "organization", "The_New_York_Times_Company" ], [ "Managing_Director-GB", "organization", "Universal_Music_Group" ], [ "Managing_Director-GB", "organization", "Universal_Republic_Records" ], [ "Managing_Director-GB", "organization", "Vivendi" ], [ "Managing_Director-GB", "organization", "World_Bank" ], [ "Managing_Director-GB", "organization", "World_Wrestling_Entertainment" ], [ "Managing_Director-GB", "organization", "Xerox" ], [ "Managing_Director-GB", "organization", "easyJet" ], [ "Maroon_5", "award_nominee", "Christina_Aguilera" ], [ "Maroon_5", "award_nominee", "Rihanna" ], [ "Merck_&_Co.", "place_founded", "New_York" ], [ "New_York", "contains", "Jamaica" ], [ "New_York", "religion", "Catholicism" ], [ "New_York", "religion", "Judaism-GB" ], [ "New_York", "taxonomy", "Library_of_Congress_Classification" ], [ "News_Corporation", "state_province_region", "New_York" ], [ "Oracle_Corporation", "service_location", "Earth" ], [ "Oracle_Corporation", "state_province_region", "New_York" ], [ "Panic!_at_the_Disco", "award", "MTV_Video_Music_Award_for_Artist_to_Watch" ], [ "Panic!_at_the_Disco", "award", "MTV_Video_Music_Award_for_Best_Art_Direction" ], [ "Panic!_at_the_Disco", "award", "MTV_Video_Music_Award_for_Best_Pop_Video" ], [ "Phil_Tan", "award_nominee", "Drake" ], [ "Phil_Tan", "award_nominee", "Eminem" ], [ "Phil_Tan", "award_winner", "Rihanna" ], [ "Pop_music", "artists", "Amy_Winehouse" ], [ "Pop_music", "artists", "Chris_Brown" ], [ "Pop_music", "artists", "Christina_Aguilera" ], [ "Pop_music", "artists", "Drake" ], [ "Pop_music", "artists", "Rihanna" ], [ "Pop_rock", "artists", "Christina_Aguilera" ], [ "Pop_rock", "artists", "Panic!_at_the_Disco" ], [ "Pop_rock", "artists", "Rihanna" ], [ "Qantas", "service_location", "Earth" ], [ "Rhythm_and_blues", "artists", "Amy_Winehouse" ], [ "Rhythm_and_blues", "artists", "Chris_Brown" ], [ "Rhythm_and_blues", "artists", "Christina_Aguilera" ], [ "Rhythm_and_blues", "artists", "Drake" ], [ "Rhythm_and_blues", "artists", "Rihanna" ], [ "Rihanna", "artist_origin", "Barbados" ], [ "Rihanna", "award", "Grammy_Award_for_Album_of_the_Year" ], [ "Rihanna", "award", "Grammy_Award_for_Best_Pop_Collaboration_with_Vocals" ], [ "Rihanna", "award", "Grammy_Award_for_Best_Pop_Vocal_Album" ], [ "Rihanna", "award", "Grammy_Award_for_Best_Rap/Sung_Collaboration" ], [ "Rihanna", "award", "Grammy_Award_for_Record_of_the_Year" ], [ "Rihanna", "award", "MTV_Video_Music_Award_for_Artist_to_Watch" ], [ "Rihanna", "award", "MTV_Video_Music_Award_for_Best_Cinematography" ], [ "Rihanna", "award", "MTV_Video_Music_Award_for_Best_Female_Video" ], [ "Rihanna", "award", "MTV_Video_Music_Award_for_Best_Pop_Video" ], [ "Rihanna", "award", "MTV_Video_Music_Award_for_Video_of_the_Year" ], [ "Rihanna", "award_nominee", "Drake" ], [ "Rihanna", "award_nominee", "Maroon_5" ], [ "Rihanna", "award_nominee", "Phil_Tan" ], [ "Rihanna", "award_winner", "Eminem" ], [ "Rihanna", "award_winner", "Phil_Tan" ], [ "Rihanna", "location", "Barbados" ], [ "Rihanna", "nationality", "Barbados" ], [ "Rihanna", "participant", "Chris_Brown" ], [ "Rihanna", "profession", "Songwriter-GB" ], [ "Rockstar_Games", "state_province_region", "New_York" ], [ "Ryanair", "service_location", "Earth" ], [ "Simon_Property_Group", "service_location", "Earth" ], [ "Sirius_Satellite_Radio", "state_province_region", "New_York" ], [ "Sony_BMG_Music_Entertainment", "artist", "Christina_Aguilera" ], [ "Sony_BMG_Music_Entertainment", "state_province_region", "New_York" ], [ "Sony_Corporation", "service_location", "Earth" ], [ "Sony_Music_Entertainment", "state_province_region", "New_York" ], [ "Soul_music", "artists", "Amy_Winehouse" ], [ "Soul_music", "artists", "Chris_Brown" ], [ "Soul_music", "artists", "Christina_Aguilera" ], [ "Sprint_Corporation", "service_location", "Earth" ], [ "Sunderland_A.F.C.", "service_location", "Earth" ], [ "Target_Corporation", "service_location", "Earth" ], [ "The_Island_Def_Jam_Music_Group", "service_location", "Earth" ], [ "The_New_York_Times_Company", "citytown", "New_York" ], [ "The_New_York_Times_Company", "state_province_region", "New_York" ], [ "Time_Warner", "state_province_region", "New_York" ], [ "Universal_Music_Group", "service_location", "Earth" ], [ "Universal_Republic_Records", "artist", "Amy_Winehouse" ], [ "Universal_Republic_Records", "artist", "Drake" ], [ "Verizon_Communications", "state_province_region", "New_York" ], [ "Vivendi", "state_province_region", "New_York" ], [ "Wales", "contains", "Gwynedd" ], [ "Wales", "taxonomy", "Library_of_Congress_Classification" ], [ "Warner_Music_Group", "state_province_region", "New_York" ], [ "World_Bank", "service_location", "Earth" ], [ "World_Wrestling_Entertainment", "service_location", "Earth" ], [ "Xerox", "state_province_region", "New_York" ], [ "easyJet", "service_location", "Earth" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 3688, Adam_Ant 4145, Adam_Levine 11495, Albert_Brooks 2931, Albert_Einstein 12306, Allen_Ginsberg 7747, Alternative_metal 2945, Alternative_rock 14172, Andrew_W.K. 1459, Arnold_Schoenberg 236, Artist-GB 5367, Ashley_Tisdale 14067, Beck_Hansen 8890, Ben_Stiller 6316, Benji_Madden 5492, Big_beat 7782, Billie_Joe_Armstrong 3526, Billy_Idol 11852, Billy_Wilder 10171, Blondie 12068, Bob_Geldof 9712, Bob_Kane 11418, Britpop 8420, Carol_Kane 10602, Cheap_Trick 3418, Cleveland 5419, Coldplay 13599, Courtney_Love 11268, DC_Comics 4689, Dance-punk 12407, David_Cronenberg 6504, David_Cross 1314, David_S._Goyer 54, David_Schwimmer 3846, Debbie_Harry 4801, Depeche_Mode 10686, Devo 13406, Didier_Six 2321, Dinah_Shore 14114, Edmund_Husserl 4892, Electroclash 14081, Electronic_rock 5251, Elvis_Costello 7445, Emily_Osment 7701, Emo 13872, Ernst_Lubitsch 1117, Eugene_Levy 13224, Funk 14168, Gary_Numan 1392, Georg_Solti 9449, George_Cukor 7980, Gertrude_Stein 986, Glam_rock 4846, Goldie_Hawn 4307, Gorillaz 2118, Grunge 10283, Gustavo_Cerati 8583, Gwen_Stefani 6948, Hard_rock 9515, Harlan_Ellison 4719, Harold_Pinter 13587, Howard_Shore 2728, Ian_MacKaye 12197, Indie_pop 4473, Indie_rock 6837, Industrial_rock 8449, Ivan_Reitman 1119, Jacques_Derrida 13552, James_Caan 5217, Jason_Segel 5518, Jay_Baruchel 10202, Jean-Jacques_Goldman 8719, Jerry_Siegel 974, Jewish_people 375, Joe_Jackson 14124, Joe_Shuster 763, Joe_Strummer 1886, Joel_Madden 6176, John_Frusciante 179, Joseph_Heller 6674, Josh_Freese 6048, Judaism-GB 8394, Karl_Popper 5350, Kate_Hudson 10957, Kelly_Osbourne 6143, Kid_Cudi 11541, Kings_of_Leon 2568, Leonard_Cohen 4078, Leonard_Nimoy 1511, Lille 7028, MGMT 11269, MTV_Video_Music_Award_for_Best_Art_Direction 1825, MTV_Video_Music_Award_for_Best_Direction 4308, Man_of_Steel 8450, Marcel_Proust 14152, Marlee_Matlin 9192, Maroon_5 10570, Maryland 757, Maurice_Sendak 10360, Mercury_Records 5260, Moby 209, Morrissey 9419, Murray_Rothbard 7556, Muse 10466, Natalie_Portman 9979, New_Order 5016, New_Romanticism 10633, New_Wave 5882, Nine_Inch_Nails 9051, No_Doubt 11666, Noise_rock 10643, P!nk 7030, Paul_Epworth 14254, Paul_Newman 13910, Paul_Weller 9578, Peter_Sellers 3497, Phil_Spector 8511, Pixies 12795, Pop_music 6690, Pop_punk 5241, Pop_rock 2121, Post-hardcore 9951, Post-punk 7918, Pretenders 8703, Punk_rock 385, Rachel_Weisz 3693, Rhythm_and_blues 11905, Rick_James 1006, Robbie_Robertson 6984, Robert_Smith 605, Sacha_Baron_Cohen 2995, Serge_Gainsbourg 11416, Seth_Rogen 6672, Shelley_Winters 12843, Shia_LaBeouf 11449, Siouxsie_&_the_Banshees 12349, Sonic_Youth 426, Soul_music 12215, Stan_Lee 3098, Stanley_Kubrick 10546, Steven_Spielberg 2447, Sting 10637, Synthpop 12199, Synthpunk 12820, Talking_Heads 5288, Techno 12339, The_Cars 785, The_Clash 12390, The_Flaming_Lips 12480, The_Killers 1982, The_Mars_Volta 11525, The_Police 7600, The_Prodigy 11904, The_White_Stripes 2308, Tom_Petty_and_the_Heartbreakers 6095, Travis_Barker 4032, Turkey 5227, Victor_Garber 3484, Woody_Allen src, edge_attr, dst 4145, religion, 6048 11495, religion, 6048 2931, religion, 6048 12306, religion, 6048 7747, parent_genre, 4473 7747, parent_genre, 8703 2945, artists, 1886 2945, artists, 7028 2945, artists, 10643 2945, artists, 7600 1459, religion, 6048 5367, religion, 6048 8890, religion, 6048 6316, participant, 1886 6316, sibling, 1886 5492, artists, 7600 5492, parent_genre, 14081 11852, religion, 6048 9712, company, 11268 9712, profession, 236 11418, parent_genre, 4473 11418, parent_genre, 10633 11418, parent_genre, 8703 8420, location, 3418 8420, place_of_birth, 3418 8420, religion, 6048 3418, place, 3418 3418, vacationer, 7445 4689, artists, 14172 4689, artists, 10686 4689, artists, 1886 4689, artists, 7028 4689, artists, 10643 4689, artists, 11905 4689, artists, 7600 4689, parent_genre, 14081 4689, parent_genre, 4473 4689, parent_genre, 10633 4689, parent_genre, 8703 12407, religion, 6048 6504, religion, 6048 54, religion, 6048 13406, nationality, 4032 13406, place_of_birth, 1511 2321, religion, 6048 14114, religion, 6048 4892, parent_genre, 14081 4892, parent_genre, 10633 14081, artists, 14067 14081, artists, 5419 14081, artists, 4801 14081, artists, 10686 14081, artists, 4307 14081, artists, 10283 14081, artists, 6176 14081, artists, 7028 14081, artists, 5260 14081, artists, 7556 14081, artists, 9979 14081, artists, 5882 14081, artists, 1982 14081, artists, 7600 14081, artists, 6095 7701, artists, 1886 7701, parent_genre, 4473 7701, parent_genre, 8703 13872, religion, 6048 1117, religion, 6048 13224, artists, 11905 1392, religion, 6048 9449, religion, 6048 7980, religion, 6048 4846, religion, 6048 2118, parent_genre, 4473 2118, parent_genre, 8703 6948, artists, 14172 9515, location, 3418 9515, place_of_birth, 3418 9515, religion, 6048 4719, religion, 6048 13587, religion, 6048 12197, artists, 7028 12197, parent_genre, 4473 12197, parent_genre, 10633 12197, parent_genre, 8703 4473, artists, 14067 4473, artists, 5419 4473, artists, 7445 4473, artists, 4307 4473, artists, 10283 4473, artists, 2728 4473, artists, 6176 4473, artists, 11541 4473, artists, 7028 4473, artists, 9192 4473, artists, 209 4473, artists, 7030 4473, artists, 13910 4473, artists, 8511 4473, artists, 6984 4473, artists, 12349 4473, artists, 12820 4473, artists, 12390 4473, artists, 12480 4473, artists, 1982 4473, artists, 7600 4473, artists, 11904 4473, parent_genre, 2945 4473, parent_genre, 9951 6837, artists, 7600 6837, parent_genre, 14081 6837, parent_genre, 8703 8449, religion, 6048 1119, religion, 6048 13552, religion, 6048 5217, religion, 6048 5518, religion, 6048 10202, religion, 6048 8719, award_winner, 14124 8719, location, 3418 8719, peers, 9712 8719, place_of_birth, 3418 8719, religion, 6048 974, people, 4145 974, people, 11495 974, people, 2931 974, people, 12306 974, people, 1459 974, people, 5367 974, people, 14067 974, people, 8890 974, people, 11852 974, people, 9712 974, people, 8420 974, people, 13599 974, people, 12407 974, people, 6504 974, people, 1314 974, people, 54 974, people, 2321 974, people, 14114 974, people, 13872 974, people, 1117 974, people, 1392 974, people, 9449 974, people, 7980 974, people, 4846 974, people, 4719 974, people, 13587 974, people, 8449 974, people, 1119 974, people, 13552 974, people, 5217 974, people, 5518 974, people, 10202 974, people, 8719 974, people, 14124 974, people, 179 974, people, 8394 974, people, 5350 974, people, 2568 974, people, 4078 974, people, 8450 974, people, 14152 974, people, 757 974, people, 9419 974, people, 10466 974, people, 10643 974, people, 14254 974, people, 9578 974, people, 3497 974, people, 385 974, people, 1006 974, people, 605 974, people, 11416 974, people, 6672 974, people, 12843 974, people, 12215 974, people, 3098 974, people, 10546 974, people, 5227 974, people, 3484 14124, award_winner, 8719 14124, location, 3418 14124, peers, 8719 14124, profession, 236 14124, religion, 6048 1886, location, 10570 1886, participant, 6316 179, religion, 6048 6674, group, 10686 6048, split_to, 974 8394, religion, 6048 5350, religion, 6048 6143, artist_origin, 3418 6143, award_nominee, 7028 6143, location, 3418 6143, place_of_birth, 3418 2568, religion, 6048 4078, religion, 6048 7028, award, 11269 7028, award_nominee, 6143 7028, influenced_by, 12820 7028, peers, 11541 4308, film_release_region, 4032 4308, production_companies, 11268 4308, story_by, 1314 4308, story_by, 8719 4308, story_by, 14124 4308, written_by, 1314 8450, religion, 6048 14152, religion, 6048 10570, religion, 6048 757, religion, 6048 10360, artist, 14172 10360, artist, 11905 9419, religion, 6048 7556, award_nominee, 7600 10466, religion, 6048 5016, parent_genre, 10633 5016, parent_genre, 8703 10633, artists, 3688 10633, artists, 7782 10633, artists, 3526 10633, artists, 10171 10633, artists, 12068 10633, artists, 10602 10633, artists, 3846 10633, artists, 4801 10633, artists, 10686 10633, artists, 5251 10633, artists, 14168 10633, artists, 10283 10633, artists, 8583 10633, artists, 10202 10633, artists, 375 10633, artists, 763 10633, artists, 10957 10633, artists, 7028 10633, artists, 9979 10633, artists, 9051 10633, artists, 13910 10633, artists, 7918 10633, artists, 11905 10633, artists, 6984 10633, artists, 2995 10633, artists, 11449 10633, artists, 2447 10633, artists, 12820 10633, artists, 12339 10633, artists, 785 10633, artists, 12480 10633, artists, 11525 10633, artists, 2308 10633, parent_genre, 13224 10633, parent_genre, 986 10633, parent_genre, 12795 10633, parent_genre, 5241 10633, parent_genre, 8703 5882, artist_origin, 3418 11666, parent_genre, 4473 11666, parent_genre, 8703 10643, award, 11269 10643, award, 1825 14254, location, 3418 14254, religion, 6048 9578, religion, 6048 12795, artists, 10643 12795, artists, 11905 6690, artists, 14172 6690, artists, 1886 6690, artists, 10643 6690, parent_genre, 4473 6690, parent_genre, 8703 5241, artists, 14172 5241, artists, 1886 5241, artists, 10643 5241, artists, 11905 2121, parent_genre, 14081 2121, parent_genre, 4473 2121, parent_genre, 8703 9951, artists, 10686 9951, artists, 7600 9951, parent_genre, 8703 8703, artists, 3688 8703, artists, 14172 8703, artists, 6316 8703, artists, 7782 8703, artists, 3526 8703, artists, 10171 8703, artists, 12068 8703, artists, 10602 8703, artists, 13599 8703, artists, 3846 8703, artists, 10686 8703, artists, 5251 8703, artists, 14168 8703, artists, 8583 8703, artists, 2728 8703, artists, 375 8703, artists, 763 8703, artists, 1886 8703, artists, 6674 8703, artists, 10957 8703, artists, 9192 8703, artists, 5260 8703, artists, 209 8703, artists, 9051 8703, artists, 10643 8703, artists, 7030 8703, artists, 13910 8703, artists, 3497 8703, artists, 8511 8703, artists, 7918 8703, artists, 11905 8703, artists, 6984 8703, artists, 11449 8703, artists, 12349 8703, artists, 2447 8703, artists, 12820 8703, artists, 12339 8703, artists, 785 8703, artists, 12390 8703, artists, 1982 8703, artists, 11525 8703, artists, 11904 8703, artists, 2308 8703, artists, 6095 8703, parent_genre, 986 8703, parent_genre, 6948 385, religion, 6048 3693, artists, 10643 3693, artists, 11905 1006, religion, 6048 605, religion, 6048 2995, religion, 6048 11416, religion, 6048 6672, religion, 6048 12843, religion, 6048 426, artists, 10643 426, artists, 11905 12215, religion, 6048 3098, religion, 6048 10546, religion, 6048 10637, artists, 10686 10637, artists, 7028 10637, parent_genre, 14081 10637, parent_genre, 10633 12199, artists, 10686 12199, artists, 10643 12199, artists, 7600 12199, parent_genre, 10633 12199, parent_genre, 8703 5288, artists, 10686 5288, artists, 7600 12480, award_nominee, 7600 7600, award, 1825 7600, award_nominee, 7556 7600, award_nominee, 12480 5227, religion, 6048 3484, religion, 6048 Question: For what reason are Dance-punk, Jerry_Siegel, and Lille associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Dance-punk", "Jerry_Siegel", "Lille" ], "valid_edges": [ [ "Adam_Levine", "religion", "Judaism-GB" ], [ "Albert_Brooks", "religion", "Judaism-GB" ], [ "Albert_Einstein", "religion", "Judaism-GB" ], [ "Allen_Ginsberg", "religion", "Judaism-GB" ], [ "Alternative_metal", "parent_genre", "Indie_rock" ], [ "Alternative_metal", "parent_genre", "Punk_rock" ], [ "Alternative_rock", "artists", "Joel_Madden" ], [ "Alternative_rock", "artists", "MGMT" ], [ "Alternative_rock", "artists", "P!nk" ], [ "Alternative_rock", "artists", "The_Prodigy" ], [ "Arnold_Schoenberg", "religion", "Judaism-GB" ], [ "Ashley_Tisdale", "religion", "Judaism-GB" ], [ "Ben_Stiller", "religion", "Judaism-GB" ], [ "Benji_Madden", "participant", "Joel_Madden" ], [ "Benji_Madden", "sibling", "Joel_Madden" ], [ "Big_beat", "artists", "The_Prodigy" ], [ "Big_beat", "parent_genre", "Electronic_rock" ], [ "Billy_Wilder", "religion", "Judaism-GB" ], [ "Bob_Kane", "company", "DC_Comics" ], [ "Bob_Kane", "profession", "Artist-GB" ], [ "Britpop", "parent_genre", "Indie_rock" ], [ "Britpop", "parent_genre", "New_Wave" ], [ "Britpop", "parent_genre", "Punk_rock" ], [ "Carol_Kane", "location", "Cleveland" ], [ "Carol_Kane", "place_of_birth", "Cleveland" ], [ "Carol_Kane", "religion", "Judaism-GB" ], [ "Cleveland", "place", "Cleveland" ], [ "Cleveland", "vacationer", "Emily_Osment" ], [ "Dance-punk", "artists", "Andrew_W.K." ], [ "Dance-punk", "artists", "Devo" ], [ "Dance-punk", "artists", "Joel_Madden" ], [ "Dance-punk", "artists", "MGMT" ], [ "Dance-punk", "artists", "P!nk" ], [ "Dance-punk", "artists", "Rick_James" ], [ "Dance-punk", "artists", "The_Prodigy" ], [ "Dance-punk", "parent_genre", "Electronic_rock" ], [ "Dance-punk", "parent_genre", "Indie_rock" ], [ "Dance-punk", "parent_genre", "New_Wave" ], [ "Dance-punk", "parent_genre", "Punk_rock" ], [ "David_Cronenberg", "religion", "Judaism-GB" ], [ "David_Cross", "religion", "Judaism-GB" ], [ "David_Schwimmer", "religion", "Judaism-GB" ], [ "Didier_Six", "nationality", "Turkey" ], [ "Didier_Six", "place_of_birth", "Lille" ], [ "Dinah_Shore", "religion", "Judaism-GB" ], [ "Edmund_Husserl", "religion", "Judaism-GB" ], [ "Electroclash", "parent_genre", "Electronic_rock" ], [ "Electroclash", "parent_genre", "New_Wave" ], [ "Electronic_rock", "artists", "Beck_Hansen" ], [ "Electronic_rock", "artists", "Coldplay" ], [ "Electronic_rock", "artists", "Depeche_Mode" ], [ "Electronic_rock", "artists", "Devo" ], [ "Electronic_rock", "artists", "Gorillaz" ], [ "Electronic_rock", "artists", "Gustavo_Cerati" ], [ "Electronic_rock", "artists", "John_Frusciante" ], [ "Electronic_rock", "artists", "MGMT" ], [ "Electronic_rock", "artists", "Moby" ], [ "Electronic_rock", "artists", "Muse" ], [ "Electronic_rock", "artists", "New_Order" ], [ "Electronic_rock", "artists", "Nine_Inch_Nails" ], [ "Electronic_rock", "artists", "The_Mars_Volta" ], [ "Electronic_rock", "artists", "The_Prodigy" ], [ "Electronic_rock", "artists", "Travis_Barker" ], [ "Emo", "artists", "Joel_Madden" ], [ "Emo", "parent_genre", "Indie_rock" ], [ "Emo", "parent_genre", "Punk_rock" ], [ "Ernst_Lubitsch", "religion", "Judaism-GB" ], [ "Eugene_Levy", "religion", "Judaism-GB" ], [ "Funk", "artists", "Rick_James" ], [ "Georg_Solti", "religion", "Judaism-GB" ], [ "George_Cukor", "religion", "Judaism-GB" ], [ "Gertrude_Stein", "religion", "Judaism-GB" ], [ "Goldie_Hawn", "religion", "Judaism-GB" ], [ "Grunge", "parent_genre", "Indie_rock" ], [ "Grunge", "parent_genre", "Punk_rock" ], [ "Hard_rock", "artists", "Andrew_W.K." ], [ "Harlan_Ellison", "location", "Cleveland" ], [ "Harlan_Ellison", "place_of_birth", "Cleveland" ], [ "Harlan_Ellison", "religion", "Judaism-GB" ], [ "Harold_Pinter", "religion", "Judaism-GB" ], [ "Howard_Shore", "religion", "Judaism-GB" ], [ "Indie_pop", "artists", "MGMT" ], [ "Indie_pop", "parent_genre", "Indie_rock" ], [ "Indie_pop", "parent_genre", "New_Wave" ], [ "Indie_pop", "parent_genre", "Punk_rock" ], [ "Indie_rock", "artists", "Beck_Hansen" ], [ "Indie_rock", "artists", "Coldplay" ], [ "Indie_rock", "artists", "Emily_Osment" ], [ "Indie_rock", "artists", "Gorillaz" ], [ "Indie_rock", "artists", "Gustavo_Cerati" ], [ "Indie_rock", "artists", "Ian_MacKaye" ], [ "Indie_rock", "artists", "John_Frusciante" ], [ "Indie_rock", "artists", "Kings_of_Leon" ], [ "Indie_rock", "artists", "MGMT" ], [ "Indie_rock", "artists", "Maroon_5" ], [ "Indie_rock", "artists", "Morrissey" ], [ "Indie_rock", "artists", "Paul_Epworth" ], [ "Indie_rock", "artists", "Paul_Weller" ], [ "Indie_rock", "artists", "Pixies" ], [ "Indie_rock", "artists", "Robert_Smith" ], [ "Indie_rock", "artists", "Sonic_Youth" ], [ "Indie_rock", "artists", "Talking_Heads" ], [ "Indie_rock", "artists", "The_Flaming_Lips" ], [ "Indie_rock", "artists", "The_Killers" ], [ "Indie_rock", "artists", "The_Mars_Volta" ], [ "Indie_rock", "artists", "The_Prodigy" ], [ "Indie_rock", "artists", "The_White_Stripes" ], [ "Indie_rock", "parent_genre", "Alternative_rock" ], [ "Indie_rock", "parent_genre", "Post-punk" ], [ "Industrial_rock", "artists", "The_Prodigy" ], [ "Industrial_rock", "parent_genre", "Electronic_rock" ], [ "Industrial_rock", "parent_genre", "Punk_rock" ], [ "Ivan_Reitman", "religion", "Judaism-GB" ], [ "Jacques_Derrida", "religion", "Judaism-GB" ], [ "James_Caan", "religion", "Judaism-GB" ], [ "Jason_Segel", "religion", "Judaism-GB" ], [ "Jay_Baruchel", "religion", "Judaism-GB" ], [ "Jean-Jacques_Goldman", "religion", "Judaism-GB" ], [ "Jerry_Siegel", "award_winner", "Joe_Shuster" ], [ "Jerry_Siegel", "location", "Cleveland" ], [ "Jerry_Siegel", "peers", "Bob_Kane" ], [ "Jerry_Siegel", "place_of_birth", "Cleveland" ], [ "Jerry_Siegel", "religion", "Judaism-GB" ], [ "Jewish_people", "people", "Adam_Levine" ], [ "Jewish_people", "people", "Albert_Brooks" ], [ "Jewish_people", "people", "Albert_Einstein" ], [ "Jewish_people", "people", "Allen_Ginsberg" ], [ "Jewish_people", "people", "Arnold_Schoenberg" ], [ "Jewish_people", "people", "Ashley_Tisdale" ], [ "Jewish_people", "people", "Beck_Hansen" ], [ "Jewish_people", "people", "Ben_Stiller" ], [ "Jewish_people", "people", "Billy_Wilder" ], [ "Jewish_people", "people", "Bob_Kane" ], [ "Jewish_people", "people", "Carol_Kane" ], [ "Jewish_people", "people", "Courtney_Love" ], [ "Jewish_people", "people", "David_Cronenberg" ], [ "Jewish_people", "people", "David_Cross" ], [ "Jewish_people", "people", "David_S._Goyer" ], [ "Jewish_people", "people", "David_Schwimmer" ], [ "Jewish_people", "people", "Dinah_Shore" ], [ "Jewish_people", "people", "Edmund_Husserl" ], [ "Jewish_people", "people", "Ernst_Lubitsch" ], [ "Jewish_people", "people", "Eugene_Levy" ], [ "Jewish_people", "people", "Georg_Solti" ], [ "Jewish_people", "people", "George_Cukor" ], [ "Jewish_people", "people", "Gertrude_Stein" ], [ "Jewish_people", "people", "Goldie_Hawn" ], [ "Jewish_people", "people", "Harold_Pinter" ], [ "Jewish_people", "people", "Howard_Shore" ], [ "Jewish_people", "people", "Ivan_Reitman" ], [ "Jewish_people", "people", "Jacques_Derrida" ], [ "Jewish_people", "people", "James_Caan" ], [ "Jewish_people", "people", "Jason_Segel" ], [ "Jewish_people", "people", "Jay_Baruchel" ], [ "Jewish_people", "people", "Jean-Jacques_Goldman" ], [ "Jewish_people", "people", "Jerry_Siegel" ], [ "Jewish_people", "people", "Joe_Shuster" ], [ "Jewish_people", "people", "Joseph_Heller" ], [ "Jewish_people", "people", "Karl_Popper" ], [ "Jewish_people", "people", "Kate_Hudson" ], [ "Jewish_people", "people", "Leonard_Cohen" ], [ "Jewish_people", "people", "Leonard_Nimoy" ], [ "Jewish_people", "people", "Marcel_Proust" ], [ "Jewish_people", "people", "Marlee_Matlin" ], [ "Jewish_people", "people", "Maurice_Sendak" ], [ "Jewish_people", "people", "Murray_Rothbard" ], [ "Jewish_people", "people", "Natalie_Portman" ], [ "Jewish_people", "people", "P!nk" ], [ "Jewish_people", "people", "Paul_Newman" ], [ "Jewish_people", "people", "Peter_Sellers" ], [ "Jewish_people", "people", "Phil_Spector" ], [ "Jewish_people", "people", "Rachel_Weisz" ], [ "Jewish_people", "people", "Robbie_Robertson" ], [ "Jewish_people", "people", "Sacha_Baron_Cohen" ], [ "Jewish_people", "people", "Seth_Rogen" ], [ "Jewish_people", "people", "Shelley_Winters" ], [ "Jewish_people", "people", "Shia_LaBeouf" ], [ "Jewish_people", "people", "Stan_Lee" ], [ "Jewish_people", "people", "Stanley_Kubrick" ], [ "Jewish_people", "people", "Steven_Spielberg" ], [ "Jewish_people", "people", "Victor_Garber" ], [ "Jewish_people", "people", "Woody_Allen" ], [ "Joe_Shuster", "award_winner", "Jerry_Siegel" ], [ "Joe_Shuster", "location", "Cleveland" ], [ "Joe_Shuster", "peers", "Jerry_Siegel" ], [ "Joe_Shuster", "profession", "Artist-GB" ], [ "Joe_Shuster", "religion", "Judaism-GB" ], [ "Joel_Madden", "location", "Maryland" ], [ "Joel_Madden", "participant", "Benji_Madden" ], [ "Joseph_Heller", "religion", "Judaism-GB" ], [ "Josh_Freese", "group", "Devo" ], [ "Judaism-GB", "split_to", "Jewish_people" ], [ "Karl_Popper", "religion", "Judaism-GB" ], [ "Kate_Hudson", "religion", "Judaism-GB" ], [ "Kid_Cudi", "artist_origin", "Cleveland" ], [ "Kid_Cudi", "award_nominee", "MGMT" ], [ "Kid_Cudi", "location", "Cleveland" ], [ "Kid_Cudi", "place_of_birth", "Cleveland" ], [ "Leonard_Cohen", "religion", "Judaism-GB" ], [ "Leonard_Nimoy", "religion", "Judaism-GB" ], [ "MGMT", "award", "MTV_Video_Music_Award_for_Best_Art_Direction" ], [ "MGMT", "award_nominee", "Kid_Cudi" ], [ "MGMT", "influenced_by", "Talking_Heads" ], [ "MGMT", "peers", "Kings_of_Leon" ], [ "Man_of_Steel", "film_release_region", "Turkey" ], [ "Man_of_Steel", "production_companies", "DC_Comics" ], [ "Man_of_Steel", "story_by", "David_S._Goyer" ], [ "Man_of_Steel", "story_by", "Jerry_Siegel" ], [ "Man_of_Steel", "story_by", "Joe_Shuster" ], [ "Man_of_Steel", "written_by", "David_S._Goyer" ], [ "Marcel_Proust", "religion", "Judaism-GB" ], [ "Marlee_Matlin", "religion", "Judaism-GB" ], [ "Maryland", "religion", "Judaism-GB" ], [ "Maurice_Sendak", "religion", "Judaism-GB" ], [ "Mercury_Records", "artist", "Andrew_W.K." ], [ "Mercury_Records", "artist", "Rick_James" ], [ "Murray_Rothbard", "religion", "Judaism-GB" ], [ "Muse", "award_nominee", "The_Prodigy" ], [ "Natalie_Portman", "religion", "Judaism-GB" ], [ "New_Romanticism", "parent_genre", "New_Wave" ], [ "New_Romanticism", "parent_genre", "Punk_rock" ], [ "New_Wave", "artists", "Adam_Ant" ], [ "New_Wave", "artists", "Billie_Joe_Armstrong" ], [ "New_Wave", "artists", "Billy_Idol" ], [ "New_Wave", "artists", "Blondie" ], [ "New_Wave", "artists", "Bob_Geldof" ], [ "New_Wave", "artists", "Cheap_Trick" ], [ "New_Wave", "artists", "Debbie_Harry" ], [ "New_Wave", "artists", "Depeche_Mode" ], [ "New_Wave", "artists", "Devo" ], [ "New_Wave", "artists", "Elvis_Costello" ], [ "New_Wave", "artists", "Gary_Numan" ], [ "New_Wave", "artists", "Gustavo_Cerati" ], [ "New_Wave", "artists", "Gwen_Stefani" ], [ "New_Wave", "artists", "Jean-Jacques_Goldman" ], [ "New_Wave", "artists", "Joe_Jackson" ], [ "New_Wave", "artists", "Joe_Strummer" ], [ "New_Wave", "artists", "Kelly_Osbourne" ], [ "New_Wave", "artists", "MGMT" ], [ "New_Wave", "artists", "New_Order" ], [ "New_Wave", "artists", "No_Doubt" ], [ "New_Wave", "artists", "Paul_Weller" ], [ "New_Wave", "artists", "Pretenders" ], [ "New_Wave", "artists", "Rick_James" ], [ "New_Wave", "artists", "Robert_Smith" ], [ "New_Wave", "artists", "Serge_Gainsbourg" ], [ "New_Wave", "artists", "Siouxsie_&_the_Banshees" ], [ "New_Wave", "artists", "Sting" ], [ "New_Wave", "artists", "Talking_Heads" ], [ "New_Wave", "artists", "The_Cars" ], [ "New_Wave", "artists", "The_Clash" ], [ "New_Wave", "artists", "The_Killers" ], [ "New_Wave", "artists", "The_Police" ], [ "New_Wave", "artists", "Tom_Petty_and_the_Heartbreakers" ], [ "New_Wave", "parent_genre", "Funk" ], [ "New_Wave", "parent_genre", "Glam_rock" ], [ "New_Wave", "parent_genre", "Pop_music" ], [ "New_Wave", "parent_genre", "Pop_rock" ], [ "New_Wave", "parent_genre", "Punk_rock" ], [ "Nine_Inch_Nails", "artist_origin", "Cleveland" ], [ "Noise_rock", "parent_genre", "Indie_rock" ], [ "Noise_rock", "parent_genre", "Punk_rock" ], [ "P!nk", "award", "MTV_Video_Music_Award_for_Best_Art_Direction" ], [ "P!nk", "award", "MTV_Video_Music_Award_for_Best_Direction" ], [ "Paul_Newman", "location", "Cleveland" ], [ "Paul_Newman", "religion", "Judaism-GB" ], [ "Peter_Sellers", "religion", "Judaism-GB" ], [ "Pop_music", "artists", "P!nk" ], [ "Pop_music", "artists", "Rick_James" ], [ "Pop_punk", "artists", "Andrew_W.K." ], [ "Pop_punk", "artists", "Joel_Madden" ], [ "Pop_punk", "artists", "P!nk" ], [ "Pop_punk", "parent_genre", "Indie_rock" ], [ "Pop_punk", "parent_genre", "Punk_rock" ], [ "Pop_rock", "artists", "Andrew_W.K." ], [ "Pop_rock", "artists", "Joel_Madden" ], [ "Pop_rock", "artists", "P!nk" ], [ "Pop_rock", "artists", "Rick_James" ], [ "Post-hardcore", "parent_genre", "Electronic_rock" ], [ "Post-hardcore", "parent_genre", "Indie_rock" ], [ "Post-hardcore", "parent_genre", "Punk_rock" ], [ "Post-punk", "artists", "Devo" ], [ "Post-punk", "artists", "The_Prodigy" ], [ "Post-punk", "parent_genre", "Punk_rock" ], [ "Punk_rock", "artists", "Adam_Ant" ], [ "Punk_rock", "artists", "Andrew_W.K." ], [ "Punk_rock", "artists", "Benji_Madden" ], [ "Punk_rock", "artists", "Billie_Joe_Armstrong" ], [ "Punk_rock", "artists", "Billy_Idol" ], [ "Punk_rock", "artists", "Blondie" ], [ "Punk_rock", "artists", "Bob_Geldof" ], [ "Punk_rock", "artists", "Cheap_Trick" ], [ "Punk_rock", "artists", "Courtney_Love" ], [ "Punk_rock", "artists", "Debbie_Harry" ], [ "Punk_rock", "artists", "Devo" ], [ "Punk_rock", "artists", "Elvis_Costello" ], [ "Punk_rock", "artists", "Gary_Numan" ], [ "Punk_rock", "artists", "Gwen_Stefani" ], [ "Punk_rock", "artists", "Ian_MacKaye" ], [ "Punk_rock", "artists", "Joe_Jackson" ], [ "Punk_rock", "artists", "Joe_Strummer" ], [ "Punk_rock", "artists", "Joel_Madden" ], [ "Punk_rock", "artists", "Josh_Freese" ], [ "Punk_rock", "artists", "Kelly_Osbourne" ], [ "Punk_rock", "artists", "Maroon_5" ], [ "Punk_rock", "artists", "Moby" ], [ "Punk_rock", "artists", "Morrissey" ], [ "Punk_rock", "artists", "No_Doubt" ], [ "Punk_rock", "artists", "P!nk" ], [ "Punk_rock", "artists", "Paul_Epworth" ], [ "Punk_rock", "artists", "Paul_Weller" ], [ "Punk_rock", "artists", "Phil_Spector" ], [ "Punk_rock", "artists", "Pixies" ], [ "Punk_rock", "artists", "Pretenders" ], [ "Punk_rock", "artists", "Rick_James" ], [ "Punk_rock", "artists", "Robert_Smith" ], [ "Punk_rock", "artists", "Siouxsie_&_the_Banshees" ], [ "Punk_rock", "artists", "Sonic_Youth" ], [ "Punk_rock", "artists", "Sting" ], [ "Punk_rock", "artists", "Talking_Heads" ], [ "Punk_rock", "artists", "The_Cars" ], [ "Punk_rock", "artists", "The_Clash" ], [ "Punk_rock", "artists", "The_Flaming_Lips" ], [ "Punk_rock", "artists", "The_Mars_Volta" ], [ "Punk_rock", "artists", "The_Police" ], [ "Punk_rock", "artists", "The_White_Stripes" ], [ "Punk_rock", "artists", "Tom_Petty_and_the_Heartbreakers" ], [ "Punk_rock", "artists", "Travis_Barker" ], [ "Punk_rock", "parent_genre", "Glam_rock" ], [ "Punk_rock", "parent_genre", "Hard_rock" ], [ "Rachel_Weisz", "religion", "Judaism-GB" ], [ "Rhythm_and_blues", "artists", "P!nk" ], [ "Rhythm_and_blues", "artists", "Rick_James" ], [ "Robbie_Robertson", "religion", "Judaism-GB" ], [ "Sacha_Baron_Cohen", "religion", "Judaism-GB" ], [ "Serge_Gainsbourg", "religion", "Judaism-GB" ], [ "Seth_Rogen", "religion", "Judaism-GB" ], [ "Shelley_Winters", "religion", "Judaism-GB" ], [ "Shia_LaBeouf", "religion", "Judaism-GB" ], [ "Soul_music", "artists", "P!nk" ], [ "Soul_music", "artists", "Rick_James" ], [ "Stan_Lee", "religion", "Judaism-GB" ], [ "Stanley_Kubrick", "religion", "Judaism-GB" ], [ "Steven_Spielberg", "religion", "Judaism-GB" ], [ "Synthpop", "artists", "Devo" ], [ "Synthpop", "artists", "MGMT" ], [ "Synthpop", "parent_genre", "Electronic_rock" ], [ "Synthpop", "parent_genre", "New_Wave" ], [ "Synthpunk", "artists", "Devo" ], [ "Synthpunk", "artists", "P!nk" ], [ "Synthpunk", "artists", "The_Prodigy" ], [ "Synthpunk", "parent_genre", "New_Wave" ], [ "Synthpunk", "parent_genre", "Punk_rock" ], [ "Techno", "artists", "Devo" ], [ "Techno", "artists", "The_Prodigy" ], [ "The_Killers", "award_nominee", "The_Prodigy" ], [ "The_Prodigy", "award", "MTV_Video_Music_Award_for_Best_Direction" ], [ "The_Prodigy", "award_nominee", "Muse" ], [ "The_Prodigy", "award_nominee", "The_Killers" ], [ "Victor_Garber", "religion", "Judaism-GB" ], [ "Woody_Allen", "religion", "Judaism-GB" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 12150, Drug_overdose 1499, Eric_Clapton 11929, Franco_Zeffirelli 9887, Judy_Garland 11668, Keith_Moon 615, Production_Designer 1823, Special_Tony_Award 8767, The_Plastic_Ono_Band 12576, William_Cameron_Menzies src, edge_attr, dst 12150, people, 9887 12150, people, 11668 1499, group, 8767 11929, profession, 615 11668, group, 8767 1823, award_winner, 11929 1823, award_winner, 9887 12576, profession, 615 Question: In what context are Eric_Clapton, Judy_Garland, and William_Cameron_Menzies connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Eric_Clapton", "Judy_Garland", "William_Cameron_Menzies" ], "valid_edges": [ [ "Drug_overdose", "people", "Judy_Garland" ], [ "Drug_overdose", "people", "Keith_Moon" ], [ "Eric_Clapton", "group", "The_Plastic_Ono_Band" ], [ "Franco_Zeffirelli", "profession", "Production_Designer" ], [ "Keith_Moon", "group", "The_Plastic_Ono_Band" ], [ "Special_Tony_Award", "award_winner", "Franco_Zeffirelli" ], [ "Special_Tony_Award", "award_winner", "Judy_Garland" ], [ "William_Cameron_Menzies", "profession", "Production_Designer" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 9610, Al_Jourgensen 7747, Alternative_metal 10263, Anthrax 6316, Benji_Madden 10708, Billy_Corgan 5606, Black_metal 3110, Blades_of_Glory 10171, Blondie 10602, Cheap_Trick 8731, Craig_T._Nelson 13840, Crossover_thrash 5747, Dave_Grohl 2636, Death_metal 5019, Epic_Records 3313, Epitaph_Records 1097, Experimental_metal 891, Extreme_metal 11280, Grammy_Award_for_Best_Metal_Performance 7168, Green_Day 3426, Grindcore 11797, Groove_metal 2118, Grunge 1110, Gwar 7818, Hardcore_punk 10226, Horror_punk 14007, Ice-T 9233, Industrial_metal 8225, Jack_Black 13919, Jason_Lee 1886, Joel_Madden 10899, Joey_Jordison 6464, John_Zorn 12333, Judas_Priest 10957, Kelly_Osbourne 13037, Korn 6156, Liquid_Metal 4469, MTV 4480, Metalcore 11876, NOFX 10028, Nu_metal 9234, Nuclear_Blast 9528, Orange_County 6690, Pop_punk 5764, Roadrunner_Records 3517, Rob_Zombie 7849, Sepultura 7198, Skate_punk 2594, Social_Distortion 7165, Speed_metal 13225, Suicidal_Tendencies 10108, The_Incredibles 1986, The_Offspring 1449, Thomas_DeLonge 1756, Thrash_metal 4889, Tim_Armstrong 4921, Traditional_heavy_metal 6095, Travis_Barker 5038, Weezer 11224, Will_Ferrell src, edge_attr, dst 7747, artists, 10263 7747, artists, 10708 7747, artists, 10899 7747, artists, 3517 7747, artists, 7849 10263, award, 11280 5606, artists, 10899 5606, artists, 7849 5606, parent_genre, 1756 3110, production_companies, 4469 8731, acted_in, 3110 8731, acted_in, 10108 13840, artists, 10263 13840, artists, 7849 13840, parent_genre, 1756 2636, artists, 10899 2636, artists, 7849 2636, parent_genre, 1756 5019, artist, 6316 5019, artist, 10171 5019, artist, 10602 5019, artist, 8225 5019, artist, 1886 5019, artist, 12333 5019, artist, 10957 5019, artist, 13037 5019, artist, 2594 5019, artist, 13225 3313, artist, 7168 3313, artist, 11876 3313, artist, 2594 3313, artist, 1986 3313, artist, 4889 3313, artist, 5038 1097, artists, 10899 1097, artists, 7849 891, artists, 10899 891, artists, 7849 3426, parent_genre, 7818 3426, parent_genre, 1756 11797, artists, 10263 11797, artists, 10708 11797, artists, 10899 11797, artists, 3517 11797, artists, 7849 11797, parent_genre, 1756 2118, artists, 10708 2118, parent_genre, 7818 7818, artists, 9610 7818, artists, 5747 7818, artists, 1110 7818, artists, 14007 7818, artists, 10899 7818, artists, 6464 7818, artists, 11876 7818, artists, 7849 7818, artists, 2594 7818, artists, 13225 7818, artists, 1986 7818, artists, 1449 7818, artists, 4889 10226, artists, 10899 10226, artists, 3517 9233, artists, 10899 9233, artists, 3517 9233, artists, 7849 8225, acted_in, 9528 13919, acted_in, 10108 13919, location, 9528 6156, artist, 10263 6156, artist, 7849 4480, artists, 10899 4480, artists, 7849 10028, artists, 10899 10028, artists, 10957 10028, artists, 13037 10028, artists, 3517 10028, artists, 7849 10028, artists, 13225 10028, parent_genre, 7747 10028, parent_genre, 11797 10028, parent_genre, 1756 9234, artist, 10899 9234, artist, 7849 9528, production_companies, 4469 6690, artists, 6316 6690, artists, 10171 6690, artists, 10602 6690, artists, 7168 6690, artists, 1886 6690, artists, 10957 6690, artists, 11876 6690, artists, 2594 6690, artists, 1986 6690, artists, 1449 6690, artists, 4889 6690, artists, 6095 6690, artists, 5038 5764, artist, 10899 5764, artist, 3517 5764, artist, 7849 3517, award, 11280 7198, artists, 6316 7198, artists, 11876 7198, artists, 2594 7198, artists, 13225 7198, artists, 1986 7198, artists, 1449 7198, artists, 6095 7198, parent_genre, 13840 7198, parent_genre, 7818 2594, artist_origin, 9528 7165, artists, 10263 1756, artist, 13225 1756, artists, 9610 1756, artists, 10263 1756, artists, 5747 1756, artists, 1110 1756, artists, 14007 1756, artists, 10899 1756, artists, 6464 1756, artists, 12333 1756, artists, 3517 1756, artists, 7849 1756, artists, 13225 1756, parent_genre, 7818 1756, parent_genre, 7165 1756, parent_genre, 4921 4921, artists, 3517 11224, acted_in, 3110 11224, location, 9528 11224, nominated_for, 3110 Question: In what context are Craig_T._Nelson, Groove_metal, and Social_Distortion connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Craig_T._Nelson", "Groove_metal", "Social_Distortion" ], "valid_edges": [ [ "Alternative_metal", "artists", "Anthrax" ], [ "Alternative_metal", "artists", "Billy_Corgan" ], [ "Alternative_metal", "artists", "Joey_Jordison" ], [ "Alternative_metal", "artists", "Rob_Zombie" ], [ "Alternative_metal", "artists", "Sepultura" ], [ "Anthrax", "award", "Grammy_Award_for_Best_Metal_Performance" ], [ "Black_metal", "artists", "Joey_Jordison" ], [ "Black_metal", "artists", "Sepultura" ], [ "Black_metal", "parent_genre", "Thrash_metal" ], [ "Blades_of_Glory", "production_companies", "MTV" ], [ "Craig_T._Nelson", "acted_in", "Blades_of_Glory" ], [ "Craig_T._Nelson", "acted_in", "The_Incredibles" ], [ "Crossover_thrash", "artists", "Anthrax" ], [ "Crossover_thrash", "artists", "Sepultura" ], [ "Crossover_thrash", "parent_genre", "Thrash_metal" ], [ "Death_metal", "artists", "Joey_Jordison" ], [ "Death_metal", "artists", "Sepultura" ], [ "Death_metal", "parent_genre", "Thrash_metal" ], [ "Epic_Records", "artist", "Benji_Madden" ], [ "Epic_Records", "artist", "Blondie" ], [ "Epic_Records", "artist", "Cheap_Trick" ], [ "Epic_Records", "artist", "Jack_Black" ], [ "Epic_Records", "artist", "Joel_Madden" ], [ "Epic_Records", "artist", "Judas_Priest" ], [ "Epic_Records", "artist", "Kelly_Osbourne" ], [ "Epic_Records", "artist", "Korn" ], [ "Epic_Records", "artist", "Social_Distortion" ], [ "Epic_Records", "artist", "Suicidal_Tendencies" ], [ "Epitaph_Records", "artist", "Green_Day" ], [ "Epitaph_Records", "artist", "NOFX" ], [ "Epitaph_Records", "artist", "Social_Distortion" ], [ "Epitaph_Records", "artist", "The_Offspring" ], [ "Epitaph_Records", "artist", "Tim_Armstrong" ], [ "Epitaph_Records", "artist", "Weezer" ], [ "Experimental_metal", "artists", "Joey_Jordison" ], [ "Experimental_metal", "artists", "Sepultura" ], [ "Extreme_metal", "artists", "Joey_Jordison" ], [ "Extreme_metal", "artists", "Sepultura" ], [ "Grindcore", "parent_genre", "Hardcore_punk" ], [ "Grindcore", "parent_genre", "Thrash_metal" ], [ "Groove_metal", "artists", "Anthrax" ], [ "Groove_metal", "artists", "Billy_Corgan" ], [ "Groove_metal", "artists", "Joey_Jordison" ], [ "Groove_metal", "artists", "Rob_Zombie" ], [ "Groove_metal", "artists", "Sepultura" ], [ "Groove_metal", "parent_genre", "Thrash_metal" ], [ "Grunge", "artists", "Billy_Corgan" ], [ "Grunge", "parent_genre", "Hardcore_punk" ], [ "Hardcore_punk", "artists", "Al_Jourgensen" ], [ "Hardcore_punk", "artists", "Dave_Grohl" ], [ "Hardcore_punk", "artists", "Gwar" ], [ "Hardcore_punk", "artists", "Ice-T" ], [ "Hardcore_punk", "artists", "Joey_Jordison" ], [ "Hardcore_punk", "artists", "John_Zorn" ], [ "Hardcore_punk", "artists", "NOFX" ], [ "Hardcore_punk", "artists", "Sepultura" ], [ "Hardcore_punk", "artists", "Social_Distortion" ], [ "Hardcore_punk", "artists", "Suicidal_Tendencies" ], [ "Hardcore_punk", "artists", "The_Offspring" ], [ "Hardcore_punk", "artists", "Thomas_DeLonge" ], [ "Hardcore_punk", "artists", "Tim_Armstrong" ], [ "Horror_punk", "artists", "Joey_Jordison" ], [ "Horror_punk", "artists", "Rob_Zombie" ], [ "Industrial_metal", "artists", "Joey_Jordison" ], [ "Industrial_metal", "artists", "Rob_Zombie" ], [ "Industrial_metal", "artists", "Sepultura" ], [ "Jack_Black", "acted_in", "Orange_County" ], [ "Jason_Lee", "acted_in", "The_Incredibles" ], [ "Jason_Lee", "location", "Orange_County" ], [ "Liquid_Metal", "artist", "Anthrax" ], [ "Liquid_Metal", "artist", "Sepultura" ], [ "Metalcore", "artists", "Joey_Jordison" ], [ "Metalcore", "artists", "Sepultura" ], [ "Nu_metal", "artists", "Joey_Jordison" ], [ "Nu_metal", "artists", "Kelly_Osbourne" ], [ "Nu_metal", "artists", "Korn" ], [ "Nu_metal", "artists", "Rob_Zombie" ], [ "Nu_metal", "artists", "Sepultura" ], [ "Nu_metal", "artists", "Suicidal_Tendencies" ], [ "Nu_metal", "parent_genre", "Alternative_metal" ], [ "Nu_metal", "parent_genre", "Groove_metal" ], [ "Nu_metal", "parent_genre", "Thrash_metal" ], [ "Nuclear_Blast", "artist", "Joey_Jordison" ], [ "Nuclear_Blast", "artist", "Sepultura" ], [ "Orange_County", "production_companies", "MTV" ], [ "Pop_punk", "artists", "Benji_Madden" ], [ "Pop_punk", "artists", "Blondie" ], [ "Pop_punk", "artists", "Cheap_Trick" ], [ "Pop_punk", "artists", "Green_Day" ], [ "Pop_punk", "artists", "Joel_Madden" ], [ "Pop_punk", "artists", "Kelly_Osbourne" ], [ "Pop_punk", "artists", "NOFX" ], [ "Pop_punk", "artists", "Social_Distortion" ], [ "Pop_punk", "artists", "The_Offspring" ], [ "Pop_punk", "artists", "Thomas_DeLonge" ], [ "Pop_punk", "artists", "Tim_Armstrong" ], [ "Pop_punk", "artists", "Travis_Barker" ], [ "Pop_punk", "artists", "Weezer" ], [ "Roadrunner_Records", "artist", "Joey_Jordison" ], [ "Roadrunner_Records", "artist", "Rob_Zombie" ], [ "Roadrunner_Records", "artist", "Sepultura" ], [ "Rob_Zombie", "award", "Grammy_Award_for_Best_Metal_Performance" ], [ "Skate_punk", "artists", "Benji_Madden" ], [ "Skate_punk", "artists", "NOFX" ], [ "Skate_punk", "artists", "Social_Distortion" ], [ "Skate_punk", "artists", "Suicidal_Tendencies" ], [ "Skate_punk", "artists", "The_Offspring" ], [ "Skate_punk", "artists", "Thomas_DeLonge" ], [ "Skate_punk", "artists", "Travis_Barker" ], [ "Skate_punk", "parent_genre", "Crossover_thrash" ], [ "Skate_punk", "parent_genre", "Hardcore_punk" ], [ "Social_Distortion", "artist_origin", "Orange_County" ], [ "Speed_metal", "artists", "Anthrax" ], [ "Thrash_metal", "artist", "Suicidal_Tendencies" ], [ "Thrash_metal", "artists", "Al_Jourgensen" ], [ "Thrash_metal", "artists", "Anthrax" ], [ "Thrash_metal", "artists", "Dave_Grohl" ], [ "Thrash_metal", "artists", "Gwar" ], [ "Thrash_metal", "artists", "Ice-T" ], [ "Thrash_metal", "artists", "Joey_Jordison" ], [ "Thrash_metal", "artists", "John_Zorn" ], [ "Thrash_metal", "artists", "Judas_Priest" ], [ "Thrash_metal", "artists", "Rob_Zombie" ], [ "Thrash_metal", "artists", "Sepultura" ], [ "Thrash_metal", "artists", "Suicidal_Tendencies" ], [ "Thrash_metal", "parent_genre", "Hardcore_punk" ], [ "Thrash_metal", "parent_genre", "Speed_metal" ], [ "Thrash_metal", "parent_genre", "Traditional_heavy_metal" ], [ "Traditional_heavy_metal", "artists", "Rob_Zombie" ], [ "Will_Ferrell", "acted_in", "Blades_of_Glory" ], [ "Will_Ferrell", "location", "Orange_County" ], [ "Will_Ferrell", "nominated_for", "Blades_of_Glory" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 13883, 67th_World_Science_Fiction_Convention 3669, Alan_Moore 5098, Alastair_Reynolds 13488, Albert_Camus 8918, Aleksandr_Pushkin 70, Anne_Rice 1342, Anthony_Burgess 5452, Anton_Chekhov 11007, Aristotle 1783, Arthur_C._Clarke 10425, Arthur_Schopenhauer 13844, Augustine_of_Hippo 7406, Avicenna 12643, Ayn_Rand 8220, Baruch_Spinoza 13171, Bruce_Sterling 5139, C._S._Lewis 10476, Carl_Jung 1038, Christopher_Hitchens 3986, Clive_Barker 11949, Cormac_McCarthy 1167, County_Dublin 4556, Critic 12614, Dante_Alighieri 1013, Dean_Koontz 8637, Don_DeLillo 13121, English_American 3521, Ezra_Pound 8512, F._Scott_Fitzgerald 2074, Fiction 5372, Francis_Bacon 9088, G._K._Chesterton 12368, Gene_Wolfe 294, Georg_Wilhelm_Friedrich_Hegel 5123, George_Bernard_Shaw 13448, George_Orwell 1947, George_R._R._Martin 6630, Gore_Vidal 5914, Gottfried_Wilhelm_von_Leibniz 9864, Gustave_Flaubert 13074, H._G._Wells 2879, Hannah_Arendt 13321, Haruki_Murakami 1221, Henry_James 11956, Hermann_Hesse 3551, Hugo_Award_for_Best_Novelette 12508, Hugo_Award_for_Best_Novella 13362, Hugo_Award_for_Best_Short_Story 2782, Ian_McEwan 5391, Immanuel_Kant 12874, International_IMPAC_Dublin_Literary_Award 4360, Italo_Calvino 5156, J._D._Salinger 5351, J._G._Ballard 3579, J._R._R._Tolkien 9308, Jack_Kerouac 6009, Jack_Vance 5770, Jacques_Lacan 2143, James_Tiptree,_Jr._Award 3398, Jean-Jacques_Rousseau 1652, John_Keats 5006, John_Locke 11806, John_Milton 6877, John_Steinbeck 11849, John_Stuart_Mill 13821, John_Updike 13768, Jonathan_Lethem 179, Joseph_Heller 7002, Joyce_Carol_Oates 8394, Karl_Popper 7883, King's_College_London 12117, Kurt_Vonnegut 2980, Leo_Strauss 9625, Leo_Tolstoy 220, Lloyd_Alexander 12139, Locus_Award_for_Best_Fantasy_Novel 8450, Marcel_Proust 10101, Margaret_Atwood 11615, Martin_Heidegger 7709, Michael_Chabon 3109, Michael_Moorcock 209, Morrissey 4900, National_Book_Award_for_Fiction 9968, Nebula_Award_for_Best_Novelette 12343, Nebula_Award_for_Best_Novella 11536, Nebula_Award_for_Best_Short_Story 113, Nobel_Prize_in_Literature 2335, Norman_Mailer 10455, Oscar_Wilde 11573, P._G._Wodehouse 7505, Paul_Auster 2185, Peter_Frampton 9310, Philip_K._Dick 1935, Philip_Pullman 1303, Philip_Roth 13231, Physician 9872, Physicist 9376, Plato 7734, Prometheus_Hall_of_Fame_Award 11987, Pulitzer_Prize_for_Fiction 263, Ralph_Waldo_Emerson 8877, Ray_Bradbury 11933, Raymond_Chandler 2154, Richard_Rorty 12412, Ringo_Starr_&_His_All-Starr_Band 5802, Robert_A._Heinlein 1331, Robert_Anton_Wilson 456, Roger_Zelazny 7875, Salman_Rushdie 8382, Samuel_R._Delany 5595, Saul_Bellow 1272, Seamus_Heaney 8475, T._S._Eliot 1598, Terry_Pratchett 5087, The_Lord_of_the_Rings 5377, Thomas_Aquinas 6334, Thomas_Hobbes 4926, Thomas_Mann 12895, Thomas_Pynchon 9350, Tom_Stoppard 10573, Toni_Morrison 4882, Ursula_K._Le_Guin 8423, Victor_Hugo 740, Virginia_Woolf 13234, Vladimir_Vladimirovich_Nabokov 5811, Voltaire 5535, Walt_Whitman 5269, Walter_Scott 12123, William_Butler_Yeats 9362, William_Faulkner 13174, William_Morris 6951, World_Fantasy_Award_for_Best_Novel 8336, World_Fantasy_Award_for_Best_Novella src, edge_attr, dst 13883, award_winner, 3579 3669, award, 7734 3669, award, 8336 5098, award, 12508 5098, influenced_by, 9310 13488, influenced_by, 8423 8918, influenced_by, 12614 8918, influenced_by, 1652 70, award, 12139 70, influenced_by, 740 1342, award, 7734 1342, influenced_by, 12614 5452, influenced_by, 9625 11007, influenced_by, 9376 11007, profession, 9872 1783, award, 12508 1783, award, 12343 10425, influenced_by, 11007 10425, influenced_by, 9376 13844, influenced_by, 11007 13844, influenced_by, 9376 7406, influenced_by, 11007 12643, award, 4900 12643, influenced_by, 11007 12643, influenced_by, 8423 8220, influenced_by, 11007 8220, influenced_by, 9376 13171, award, 3551 13171, award, 13362 13171, award, 2143 13171, award, 9968 13171, award, 12343 13171, award, 11536 5139, award, 7734 5139, friend, 3579 5139, influenced_by, 11007 5139, influenced_by, 12614 5139, influenced_by, 3579 5139, influenced_by, 9376 10476, influenced_by, 10425 10476, influenced_by, 5391 10476, profession, 13231 1038, influenced_by, 13488 1038, influenced_by, 8220 1038, influenced_by, 13448 1038, influenced_by, 6630 1038, influenced_by, 2782 1038, influenced_by, 11849 1038, influenced_by, 179 1038, influenced_by, 10455 1038, influenced_by, 11573 1038, influenced_by, 7875 1038, influenced_by, 5595 1038, influenced_by, 6334 1038, influenced_by, 13234 1038, influenced_by, 5811 1038, profession, 4556 3986, award, 12139 3986, award, 8336 11949, award, 4900 11949, award, 11987 12614, influenced_by, 11007 12614, influenced_by, 7406 12614, influenced_by, 5377 1013, award, 12508 1013, influenced_by, 6009 8637, award, 4900 8637, award, 11987 13121, people, 1038 13121, people, 2185 3521, influenced_by, 12614 3521, influenced_by, 5535 8512, influenced_by, 1652 5372, influenced_by, 11007 5372, influenced_by, 9376 12368, award, 12508 12368, award, 13362 12368, award, 12343 12368, award, 11536 12368, award, 6951 12368, award, 8336 12368, influenced_by, 3579 12368, influenced_by, 6009 294, influenced_by, 11007 294, influenced_by, 9376 5123, award, 113 5123, influenced_by, 10425 5123, influenced_by, 9088 5123, influenced_by, 13174 5123, location, 1167 5123, peers, 13074 5123, peers, 10455 5123, profession, 4556 13448, influenced_by, 9625 1947, award, 9968 1947, award, 12343 1947, award, 11536 1947, award, 6951 1947, award, 8336 1947, influenced_by, 3579 1947, influenced_by, 6009 6630, award, 4900 5914, influenced_by, 11007 5914, influenced_by, 9376 9864, influenced_by, 8423 13074, influenced_by, 9376 2879, influenced_by, 11007 2879, influenced_by, 9376 13321, award, 6951 13321, influenced_by, 9310 11956, influenced_by, 10476 11956, influenced_by, 9376 3551, award_winner, 13171 3551, award_winner, 1947 3551, award_winner, 6009 3551, award_winner, 4882 3551, ceremony, 13883 3551, disciplines_or_subjects, 2074 12508, award_winner, 1947 12508, ceremony, 13883 12508, disciplines_or_subjects, 2074 13362, award_winner, 1783 13362, award_winner, 1947 13362, award_winner, 8382 13362, award_winner, 4882 13362, ceremony, 13883 13362, disciplines_or_subjects, 2074 2782, influenced_by, 740 5391, influenced_by, 11007 5391, influenced_by, 9376 5156, award, 4900 5156, influenced_by, 9625 5351, award, 9968 5351, award, 11536 3579, award, 12139 3579, award, 7734 3579, friend, 5139 3579, influenced_by, 9088 3579, influenced_by, 13174 3579, nominated_for, 5087 3579, peers, 5139 9308, influenced_by, 5535 6009, award, 3551 6009, award, 12508 6009, award, 13362 6009, award, 12139 6009, award, 12343 6009, award, 6951 5770, influenced_by, 11007 5770, influenced_by, 9376 2143, award_winner, 4882 2143, category_of, 2143 2143, disciplines_or_subjects, 2074 3398, influenced_by, 11007 1652, influenced_by, 11806 1652, profession, 13231 5006, influenced_by, 11007 5006, influenced_by, 9376 11806, influenced_by, 12614 6877, award, 4900 11849, influenced_by, 11007 11849, influenced_by, 9376 13821, award, 4900 13821, award, 11987 13768, award, 12874 13768, award, 2143 13768, award, 9968 13768, award, 12343 13768, award, 11536 13768, award, 8336 13768, influenced_by, 8637 13768, influenced_by, 4360 13768, influenced_by, 5351 13768, influenced_by, 13821 13768, influenced_by, 7505 13768, influenced_by, 9310 13768, influenced_by, 1303 13768, influenced_by, 11933 13768, influenced_by, 5595 13768, influenced_by, 12895 13768, influenced_by, 4882 179, award, 4900 7002, award, 11987 8394, influenced_by, 11007 8394, influenced_by, 9376 7883, student, 1652 7883, student, 740 12117, award, 4900 12117, influenced_by, 5123 2980, influenced_by, 11007 2980, influenced_by, 9376 9625, award, 113 9625, influenced_by, 8918 9625, influenced_by, 11007 9625, influenced_by, 10425 9625, influenced_by, 3398 9625, influenced_by, 9376 9625, influenced_by, 8423 220, award, 12139 220, influenced_by, 3579 12139, award_winner, 12368 12139, award_winner, 1947 12139, award_winner, 3579 12139, award_winner, 5802 12139, award_winner, 456 12139, award_winner, 1598 12139, award_winner, 4882 12139, disciplines_or_subjects, 2074 8450, influenced_by, 9625 10101, award, 2143 10101, influenced_by, 9625 10101, influenced_by, 740 11615, influenced_by, 11007 11615, influenced_by, 9376 7709, award, 11987 7709, influenced_by, 8512 7709, influenced_by, 1947 7709, influenced_by, 9864 7709, influenced_by, 1221 7709, influenced_by, 5351 7709, influenced_by, 6009 7709, influenced_by, 1652 7709, influenced_by, 8450 7709, influenced_by, 3109 7709, influenced_by, 7505 7709, influenced_by, 1303 7709, influenced_by, 11933 7709, influenced_by, 12895 7709, influenced_by, 4882 7709, influenced_by, 13234 3109, award, 12139 3109, award, 12343 3109, influenced_by, 6009 209, influenced_by, 9308 209, influenced_by, 10455 4900, award_winner, 11949 4900, award_winner, 13821 4900, award_winner, 7002 4900, award_winner, 1303 4900, award_winner, 5595 4900, award_winner, 9362 9968, award_winner, 1947 9968, award_winner, 8382 9968, award_winner, 4882 9968, disciplines_or_subjects, 2074 12343, award_winner, 12368 12343, award_winner, 6009 12343, award_winner, 456 12343, disciplines_or_subjects, 2074 11536, award_winner, 8382 11536, award_winner, 4882 11536, disciplines_or_subjects, 2074 2335, award, 4900 2335, award, 11987 2335, influenced_by, 9625 10455, influenced_by, 11007 10455, influenced_by, 12614 10455, influenced_by, 1652 10455, influenced_by, 9376 10455, influenced_by, 8423 10455, location, 1167 7505, influenced_by, 9625 2185, group, 12412 9310, award, 3551 9310, award, 12139 9310, influenced_by, 8220 9310, influenced_by, 10476 9310, influenced_by, 9864 9310, influenced_by, 13074 9310, influenced_by, 5391 9310, influenced_by, 8450 9310, influenced_by, 11615 1935, award, 12139 1935, award, 6951 1303, award, 4900 1303, award, 11987 1303, influenced_by, 9625 9376, profession, 9872 7734, award_winner, 3669 7734, award_winner, 1342 7734, award_winner, 12643 7734, award_winner, 13448 7734, award_winner, 3579 7734, award_winner, 8877 7734, award_winner, 5802 7734, award_winner, 1331 7734, award_winner, 4882 7734, ceremony, 13883 7734, disciplines_or_subjects, 2074 11987, award_winner, 6877 11987, award_winner, 13821 11987, award_winner, 7709 11987, award_winner, 2335 11987, award_winner, 5595 11987, award_winner, 10573 11987, award_winner, 9362 11987, disciplines_or_subjects, 2074 263, influenced_by, 9376 8877, award, 12139 8877, award, 6951 8877, influenced_by, 5123 2154, influenced_by, 9376 2154, influenced_by, 5535 5802, award, 12139 5802, award, 7734 1331, location, 1167 456, award, 3551 456, award, 12508 456, award, 13362 456, award, 12139 456, award, 9968 456, award, 12343 456, award, 11536 456, influenced_by, 6009 7875, award, 12874 7875, award, 2143 7875, award, 12139 7875, influenced_by, 5452 7875, influenced_by, 1038 7875, influenced_by, 4360 7875, influenced_by, 11573 7875, influenced_by, 5595 7875, influenced_by, 12895 7875, influenced_by, 4882 7875, influenced_by, 13234 8382, award, 3551 8382, award, 12508 8382, award, 13362 8382, award, 2143 8382, award, 12139 8382, award, 9968 8382, award, 12343 8382, award, 11536 8382, influenced_by, 1652 8382, influenced_by, 9376 8382, influenced_by, 740 5595, award, 4900 1272, influenced_by, 12614 1272, influenced_by, 1652 8475, influenced_by, 12614 8475, influenced_by, 5535 1598, award, 2143 1598, award, 12139 1598, award, 6951 1598, influenced_by, 6009 5087, award_honor_award, 7734 5087, award_winner, 3579 5087, story_by, 3579 5377, influenced_by, 11007 5377, influenced_by, 9376 6334, influenced_by, 11007 6334, influenced_by, 9376 4926, award, 4900 4926, influenced_by, 10476 4926, influenced_by, 9625 12895, award, 4900 9350, influenced_by, 13488 9350, influenced_by, 1221 9350, influenced_by, 10455 10573, award, 4900 10573, award, 11987 10573, influenced_by, 740 4882, award, 3551 4882, award, 12508 4882, award, 13362 4882, award, 2143 4882, award, 4900 4882, award, 9968 4882, award, 12343 4882, award, 11536 4882, award, 11987 4882, award, 6951 4882, award, 8336 4882, influenced_by, 10476 4882, influenced_by, 3579 4882, influenced_by, 6009 4882, influenced_by, 9625 4882, influenced_by, 9310 4882, influenced_by, 740 8423, influenced_by, 3398 8423, influenced_by, 5811 8423, influenced_by, 5269 740, influenced_by, 5452 740, influenced_by, 9625 740, influenced_by, 8450 13234, award, 4900 13234, influenced_by, 9625 5811, influenced_by, 9376 5535, influenced_by, 294 5535, influenced_by, 10455 5535, influenced_by, 263 5535, influenced_by, 5269 12123, influenced_by, 1652 12123, location, 1167 9362, award, 4900 9362, influenced_by, 1652 9362, influenced_by, 9625 6951, award_winner, 12368 6951, award_winner, 13321 6951, award_winner, 6009 6951, award_winner, 3109 6951, award_winner, 4882 6951, disciplines_or_subjects, 2074 8336, award_winner, 1947 8336, award_winner, 4882 8336, disciplines_or_subjects, 2074 Question: For what reason are Oscar_Wilde, Ringo_Starr_&_His_All-Starr_Band, and Ursula_K._Le_Guin associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Oscar_Wilde", "Ringo_Starr_&_His_All-Starr_Band", "Ursula_K._Le_Guin" ], "valid_edges": [ [ "67th_World_Science_Fiction_Convention", "award_winner", "J._R._R._Tolkien" ], [ "Alan_Moore", "award", "Prometheus_Hall_of_Fame_Award" ], [ "Alan_Moore", "award", "World_Fantasy_Award_for_Best_Novella" ], [ "Alastair_Reynolds", "award", "Hugo_Award_for_Best_Novella" ], [ "Alastair_Reynolds", "influenced_by", "Philip_K._Dick" ], [ "Albert_Camus", "influenced_by", "Victor_Hugo" ], [ "Aleksandr_Pushkin", "influenced_by", "Dante_Alighieri" ], [ "Aleksandr_Pushkin", "influenced_by", "John_Keats" ], [ "Anne_Rice", "award", "Locus_Award_for_Best_Fantasy_Novel" ], [ "Anne_Rice", "influenced_by", "Virginia_Woolf" ], [ "Anthony_Burgess", "award", "Prometheus_Hall_of_Fame_Award" ], [ "Anthony_Burgess", "influenced_by", "Dante_Alighieri" ], [ "Anton_Chekhov", "influenced_by", "Leo_Tolstoy" ], [ "Aristotle", "influenced_by", "Plato" ], [ "Aristotle", "profession", "Physicist" ], [ "Arthur_C._Clarke", "award", "Hugo_Award_for_Best_Novella" ], [ "Arthur_C._Clarke", "award", "Nebula_Award_for_Best_Novella" ], [ "Arthur_Schopenhauer", "influenced_by", "Aristotle" ], [ "Arthur_Schopenhauer", "influenced_by", "Plato" ], [ "Augustine_of_Hippo", "influenced_by", "Aristotle" ], [ "Augustine_of_Hippo", "influenced_by", "Plato" ], [ "Avicenna", "influenced_by", "Aristotle" ], [ "Ayn_Rand", "award", "National_Book_Award_for_Fiction" ], [ "Ayn_Rand", "influenced_by", "Aristotle" ], [ "Ayn_Rand", "influenced_by", "Victor_Hugo" ], [ "Baruch_Spinoza", "influenced_by", "Aristotle" ], [ "Baruch_Spinoza", "influenced_by", "Plato" ], [ "Bruce_Sterling", "award", "Hugo_Award_for_Best_Novelette" ], [ "Bruce_Sterling", "award", "Hugo_Award_for_Best_Short_Story" ], [ "Bruce_Sterling", "award", "James_Tiptree,_Jr._Award" ], [ "Bruce_Sterling", "award", "Nebula_Award_for_Best_Novelette" ], [ "Bruce_Sterling", "award", "Nebula_Award_for_Best_Novella" ], [ "Bruce_Sterling", "award", "Nebula_Award_for_Best_Short_Story" ], [ "C._S._Lewis", "award", "Prometheus_Hall_of_Fame_Award" ], [ "C._S._Lewis", "friend", "J._R._R._Tolkien" ], [ "C._S._Lewis", "influenced_by", "Aristotle" ], [ "C._S._Lewis", "influenced_by", "Dante_Alighieri" ], [ "C._S._Lewis", "influenced_by", "J._R._R._Tolkien" ], [ "C._S._Lewis", "influenced_by", "Plato" ], [ "Carl_Jung", "influenced_by", "Arthur_Schopenhauer" ], [ "Carl_Jung", "influenced_by", "Immanuel_Kant" ], [ "Carl_Jung", "profession", "Physician" ], [ "Christopher_Hitchens", "influenced_by", "Albert_Camus" ], [ "Christopher_Hitchens", "influenced_by", "Baruch_Spinoza" ], [ "Christopher_Hitchens", "influenced_by", "George_Orwell" ], [ "Christopher_Hitchens", "influenced_by", "Gore_Vidal" ], [ "Christopher_Hitchens", "influenced_by", "Ian_McEwan" ], [ "Christopher_Hitchens", "influenced_by", "John_Stuart_Mill" ], [ "Christopher_Hitchens", "influenced_by", "Joseph_Heller" ], [ "Christopher_Hitchens", "influenced_by", "Oscar_Wilde" ], [ "Christopher_Hitchens", "influenced_by", "P._G._Wodehouse" ], [ "Christopher_Hitchens", "influenced_by", "Salman_Rushdie" ], [ "Christopher_Hitchens", "influenced_by", "Saul_Bellow" ], [ "Christopher_Hitchens", "influenced_by", "Thomas_Hobbes" ], [ "Christopher_Hitchens", "influenced_by", "Vladimir_Vladimirovich_Nabokov" ], [ "Christopher_Hitchens", "influenced_by", "Voltaire" ], [ "Christopher_Hitchens", "profession", "Critic" ], [ "Clive_Barker", "award", "Locus_Award_for_Best_Fantasy_Novel" ], [ "Clive_Barker", "award", "World_Fantasy_Award_for_Best_Novella" ], [ "Cormac_McCarthy", "award", "National_Book_Award_for_Fiction" ], [ "Cormac_McCarthy", "award", "Pulitzer_Prize_for_Fiction" ], [ "Dante_Alighieri", "influenced_by", "Aristotle" ], [ "Dante_Alighieri", "influenced_by", "Avicenna" ], [ "Dante_Alighieri", "influenced_by", "Thomas_Aquinas" ], [ "Dean_Koontz", "award", "Hugo_Award_for_Best_Novella" ], [ "Dean_Koontz", "influenced_by", "Jack_Vance" ], [ "Don_DeLillo", "award", "National_Book_Award_for_Fiction" ], [ "Don_DeLillo", "award", "Pulitzer_Prize_for_Fiction" ], [ "English_American", "people", "Christopher_Hitchens" ], [ "English_American", "people", "Peter_Frampton" ], [ "Ezra_Pound", "influenced_by", "Dante_Alighieri" ], [ "Ezra_Pound", "influenced_by", "Walt_Whitman" ], [ "F._Scott_Fitzgerald", "influenced_by", "John_Keats" ], [ "Francis_Bacon", "influenced_by", "Aristotle" ], [ "Francis_Bacon", "influenced_by", "Plato" ], [ "Gene_Wolfe", "award", "Hugo_Award_for_Best_Novella" ], [ "Gene_Wolfe", "award", "Hugo_Award_for_Best_Short_Story" ], [ "Gene_Wolfe", "award", "Nebula_Award_for_Best_Novella" ], [ "Gene_Wolfe", "award", "Nebula_Award_for_Best_Short_Story" ], [ "Gene_Wolfe", "award", "World_Fantasy_Award_for_Best_Novel" ], [ "Gene_Wolfe", "award", "World_Fantasy_Award_for_Best_Novella" ], [ "Gene_Wolfe", "influenced_by", "J._R._R._Tolkien" ], [ "Gene_Wolfe", "influenced_by", "Jack_Vance" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influenced_by", 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"influenced_by", "J._R._R._Tolkien" ], [ "George_R._R._Martin", "influenced_by", "Jack_Vance" ], [ "Gore_Vidal", "award", "National_Book_Award_for_Fiction" ], [ "Gottfried_Wilhelm_von_Leibniz", "influenced_by", "Aristotle" ], [ "Gottfried_Wilhelm_von_Leibniz", "influenced_by", "Plato" ], [ "Gustave_Flaubert", "influenced_by", "Victor_Hugo" ], [ "H._G._Wells", "influenced_by", "Plato" ], [ "Hannah_Arendt", "influenced_by", "Aristotle" ], [ "Hannah_Arendt", "influenced_by", "Plato" ], [ "Haruki_Murakami", "award", "World_Fantasy_Award_for_Best_Novel" ], [ "Haruki_Murakami", "influenced_by", "Philip_K._Dick" ], [ "Hermann_Hesse", "influenced_by", "Carl_Jung" ], [ "Hermann_Hesse", "influenced_by", "Plato" ], [ "Hugo_Award_for_Best_Novelette", "award_winner", "Bruce_Sterling" ], [ "Hugo_Award_for_Best_Novelette", "award_winner", "George_R._R._Martin" ], [ "Hugo_Award_for_Best_Novelette", "award_winner", "Jack_Vance" ], [ "Hugo_Award_for_Best_Novelette", "award_winner", "Ursula_K._Le_Guin" ], [ "Hugo_Award_for_Best_Novelette", "ceremony", "67th_World_Science_Fiction_Convention" ], [ "Hugo_Award_for_Best_Novelette", "disciplines_or_subjects", "Fiction" ], [ "Hugo_Award_for_Best_Novella", "award_winner", "George_R._R._Martin" ], [ "Hugo_Award_for_Best_Novella", "ceremony", "67th_World_Science_Fiction_Convention" ], [ "Hugo_Award_for_Best_Novella", "disciplines_or_subjects", "Fiction" ], [ "Hugo_Award_for_Best_Short_Story", "award_winner", "Arthur_C._Clarke" ], [ "Hugo_Award_for_Best_Short_Story", "award_winner", "George_R._R._Martin" ], [ "Hugo_Award_for_Best_Short_Story", "award_winner", "Samuel_R._Delany" ], [ "Hugo_Award_for_Best_Short_Story", "award_winner", "Ursula_K._Le_Guin" ], [ "Hugo_Award_for_Best_Short_Story", "ceremony", "67th_World_Science_Fiction_Convention" ], [ "Hugo_Award_for_Best_Short_Story", "disciplines_or_subjects", "Fiction" ], [ "Ian_McEwan", "influenced_by", "Virginia_Woolf" ], [ "Immanuel_Kant", "influenced_by", "Aristotle" ], [ "Immanuel_Kant", "influenced_by", "Plato" ], [ "J._D._Salinger", "award", "National_Book_Award_for_Fiction" ], [ "J._D._Salinger", "influenced_by", "Leo_Tolstoy" ], [ "J._G._Ballard", "award", "Nebula_Award_for_Best_Novelette" ], [ "J._G._Ballard", "award", "Nebula_Award_for_Best_Short_Story" ], [ "J._R._R._Tolkien", "award", "Locus_Award_for_Best_Fantasy_Novel" ], [ "J._R._R._Tolkien", "award", "Prometheus_Hall_of_Fame_Award" ], [ "J._R._R._Tolkien", "friend", "C._S._Lewis" ], [ "J._R._R._Tolkien", "influenced_by", "G._K._Chesterton" ], [ "J._R._R._Tolkien", "influenced_by", "William_Morris" ], [ "J._R._R._Tolkien", "nominated_for", "The_Lord_of_the_Rings" ], [ "J._R._R._Tolkien", "peers", "C._S._Lewis" ], [ "Jack_Kerouac", "influenced_by", "Walt_Whitman" ], [ "Jack_Vance", "award", "Hugo_Award_for_Best_Novelette" ], [ "Jack_Vance", "award", "Hugo_Award_for_Best_Novella" ], [ "Jack_Vance", "award", "Hugo_Award_for_Best_Short_Story" ], [ "Jack_Vance", "award", "Locus_Award_for_Best_Fantasy_Novel" ], [ "Jack_Vance", "award", "Nebula_Award_for_Best_Novella" ], [ "Jack_Vance", "award", "World_Fantasy_Award_for_Best_Novel" ], [ "Jacques_Lacan", "influenced_by", "Aristotle" ], [ "Jacques_Lacan", "influenced_by", "Plato" ], [ "James_Tiptree,_Jr._Award", "award_winner", "Ursula_K._Le_Guin" ], [ "James_Tiptree,_Jr._Award", "category_of", "James_Tiptree,_Jr._Award" ], [ "James_Tiptree,_Jr._Award", "disciplines_or_subjects", "Fiction" ], [ "Jean-Jacques_Rousseau", "influenced_by", "Aristotle" ], [ "John_Keats", "influenced_by", "John_Milton" ], [ "John_Keats", "profession", "Physician" ], [ "John_Locke", "influenced_by", "Aristotle" ], [ "John_Locke", "influenced_by", "Plato" ], [ "John_Milton", "influenced_by", "Dante_Alighieri" ], [ "John_Steinbeck", "award", "National_Book_Award_for_Fiction" ], [ "John_Stuart_Mill", "influenced_by", "Aristotle" ], [ "John_Stuart_Mill", "influenced_by", "Plato" ], [ "John_Updike", "award", "National_Book_Award_for_Fiction" ], [ "John_Updike", "award", "Pulitzer_Prize_for_Fiction" ], [ "Jonathan_Lethem", "award", "International_IMPAC_Dublin_Literary_Award" ], [ "Jonathan_Lethem", "award", "James_Tiptree,_Jr._Award" ], [ "Jonathan_Lethem", "award", "Nebula_Award_for_Best_Novelette" ], [ "Jonathan_Lethem", "award", "Nebula_Award_for_Best_Novella" ], [ "Jonathan_Lethem", "award", "Nebula_Award_for_Best_Short_Story" ], [ "Jonathan_Lethem", "award", "World_Fantasy_Award_for_Best_Novella" ], [ "Jonathan_Lethem", "influenced_by", "Don_DeLillo" ], [ "Jonathan_Lethem", "influenced_by", "Italo_Calvino" ], [ "Jonathan_Lethem", "influenced_by", "J._G._Ballard" ], [ "Jonathan_Lethem", "influenced_by", "John_Updike" ], [ "Jonathan_Lethem", "influenced_by", "Paul_Auster" ], [ "Jonathan_Lethem", "influenced_by", "Philip_K._Dick" ], [ "Jonathan_Lethem", "influenced_by", "Philip_Roth" ], [ "Jonathan_Lethem", "influenced_by", "Raymond_Chandler" ], [ "Jonathan_Lethem", "influenced_by", "Saul_Bellow" ], [ "Jonathan_Lethem", "influenced_by", "Thomas_Pynchon" ], [ "Jonathan_Lethem", "influenced_by", "Ursula_K._Le_Guin" ], [ "Joseph_Heller", "award", "National_Book_Award_for_Fiction" ], [ "Joyce_Carol_Oates", "award", "Pulitzer_Prize_for_Fiction" ], [ "Karl_Popper", "influenced_by", "Aristotle" ], [ "Karl_Popper", "influenced_by", "Plato" ], [ "King's_College_London", "student", "John_Keats" ], [ "King's_College_London", "student", "Virginia_Woolf" ], [ "Kurt_Vonnegut", "award", "National_Book_Award_for_Fiction" ], [ "Kurt_Vonnegut", "influenced_by", "George_Bernard_Shaw" ], [ "Leo_Strauss", "influenced_by", "Aristotle" ], [ "Leo_Strauss", "influenced_by", "Plato" ], [ "Leo_Tolstoy", "award", "Nobel_Prize_in_Literature" ], [ "Leo_Tolstoy", "influenced_by", "Aleksandr_Pushkin" ], [ "Leo_Tolstoy", "influenced_by", "Aristotle" ], [ "Leo_Tolstoy", "influenced_by", "Arthur_Schopenhauer" ], [ "Leo_Tolstoy", "influenced_by", "Jean-Jacques_Rousseau" ], [ "Leo_Tolstoy", "influenced_by", "Plato" ], [ "Leo_Tolstoy", "influenced_by", "Victor_Hugo" ], [ "Lloyd_Alexander", "award", "Locus_Award_for_Best_Fantasy_Novel" ], [ "Lloyd_Alexander", "influenced_by", "J._R._R._Tolkien" ], [ "Locus_Award_for_Best_Fantasy_Novel", "award_winner", "Gene_Wolfe" ], [ "Locus_Award_for_Best_Fantasy_Novel", "award_winner", "George_R._R._Martin" ], [ "Locus_Award_for_Best_Fantasy_Novel", "award_winner", "J._R._R._Tolkien" ], [ "Locus_Award_for_Best_Fantasy_Novel", "award_winner", "Robert_A._Heinlein" ], [ "Locus_Award_for_Best_Fantasy_Novel", "award_winner", "Roger_Zelazny" ], [ "Locus_Award_for_Best_Fantasy_Novel", "award_winner", "Terry_Pratchett" ], [ "Locus_Award_for_Best_Fantasy_Novel", "award_winner", "Ursula_K._Le_Guin" ], [ "Locus_Award_for_Best_Fantasy_Novel", "disciplines_or_subjects", "Fiction" ], [ "Marcel_Proust", "influenced_by", "Leo_Tolstoy" ], [ "Margaret_Atwood", "award", "James_Tiptree,_Jr._Award" ], [ "Margaret_Atwood", "influenced_by", "Leo_Tolstoy" ], [ "Margaret_Atwood", "influenced_by", "Virginia_Woolf" ], [ "Martin_Heidegger", "influenced_by", "Aristotle" ], [ "Martin_Heidegger", "influenced_by", "Plato" ], [ "Michael_Chabon", "award", "Pulitzer_Prize_for_Fiction" ], [ "Michael_Chabon", "influenced_by", "F._Scott_Fitzgerald" ], [ "Michael_Chabon", "influenced_by", "George_R._R._Martin" ], [ "Michael_Chabon", "influenced_by", "Gustave_Flaubert" ], [ "Michael_Chabon", "influenced_by", "Henry_James" ], [ "Michael_Chabon", "influenced_by", "J._G._Ballard" ], [ "Michael_Chabon", "influenced_by", "Jack_Vance" ], [ "Michael_Chabon", "influenced_by", "John_Keats" ], [ "Michael_Chabon", "influenced_by", "Marcel_Proust" ], [ "Michael_Chabon", "influenced_by", "Michael_Moorcock" ], [ "Michael_Chabon", "influenced_by", "Paul_Auster" ], [ "Michael_Chabon", "influenced_by", "Philip_Roth" ], [ "Michael_Chabon", "influenced_by", "Raymond_Chandler" ], [ "Michael_Chabon", "influenced_by", "Thomas_Pynchon" ], [ "Michael_Chabon", "influenced_by", "Ursula_K._Le_Guin" ], [ "Michael_Chabon", "influenced_by", "Vladimir_Vladimirovich_Nabokov" ], [ "Michael_Moorcock", "award", "Locus_Award_for_Best_Fantasy_Novel" ], [ "Michael_Moorcock", "award", "Nebula_Award_for_Best_Novella" ], [ "Michael_Moorcock", "influenced_by", "Jack_Vance" ], [ "Morrissey", "influenced_by", "Jack_Kerouac" ], [ "Morrissey", "influenced_by", "Oscar_Wilde" ], [ "National_Book_Award_for_Fiction", "award_winner", "Cormac_McCarthy" ], [ "National_Book_Award_for_Fiction", "award_winner", "John_Updike" ], [ "National_Book_Award_for_Fiction", "award_winner", "Joyce_Carol_Oates" ], [ "National_Book_Award_for_Fiction", "award_winner", "Philip_Roth" ], [ "National_Book_Award_for_Fiction", "award_winner", "Saul_Bellow" ], [ "National_Book_Award_for_Fiction", "award_winner", "William_Faulkner" ], [ "Nebula_Award_for_Best_Novelette", "award_winner", "George_R._R._Martin" ], [ "Nebula_Award_for_Best_Novelette", "award_winner", "Samuel_R._Delany" ], [ "Nebula_Award_for_Best_Novelette", "award_winner", "Ursula_K._Le_Guin" ], [ "Nebula_Award_for_Best_Novelette", "disciplines_or_subjects", "Fiction" ], [ "Nebula_Award_for_Best_Novella", "award_winner", "Gene_Wolfe" ], [ "Nebula_Award_for_Best_Novella", "award_winner", "Jack_Vance" ], [ "Nebula_Award_for_Best_Novella", "award_winner", "Roger_Zelazny" ], [ "Nebula_Award_for_Best_Novella", "disciplines_or_subjects", "Fiction" ], [ "Nebula_Award_for_Best_Short_Story", "award_winner", "Samuel_R._Delany" ], [ "Nebula_Award_for_Best_Short_Story", "award_winner", "Ursula_K._Le_Guin" ], [ "Nebula_Award_for_Best_Short_Story", "disciplines_or_subjects", "Fiction" ], [ "Norman_Mailer", "award", "National_Book_Award_for_Fiction" ], [ "Norman_Mailer", "award", "Pulitzer_Prize_for_Fiction" ], [ "Norman_Mailer", "influenced_by", "Leo_Tolstoy" ], [ "Oscar_Wilde", "influenced_by", "Aristotle" ], [ "Oscar_Wilde", "influenced_by", "Dante_Alighieri" ], [ "Oscar_Wilde", "influenced_by", "John_Keats" ], [ "Oscar_Wilde", "influenced_by", "Plato" ], [ "Oscar_Wilde", "influenced_by", "Victor_Hugo" ], [ "Oscar_Wilde", "location", "County_Dublin" ], [ "Paul_Auster", "influenced_by", "Leo_Tolstoy" ], [ "Peter_Frampton", "group", "Ringo_Starr_&_His_All-Starr_Band" ], [ "Philip_K._Dick", "award", "Hugo_Award_for_Best_Novelette" ], [ "Philip_K._Dick", "award", "Locus_Award_for_Best_Fantasy_Novel" ], [ "Philip_K._Dick", "influenced_by", "Baruch_Spinoza" ], [ "Philip_K._Dick", "influenced_by", "Carl_Jung" ], [ "Philip_K._Dick", "influenced_by", "Gustave_Flaubert" ], [ "Philip_K._Dick", "influenced_by", "H._G._Wells" ], [ "Philip_K._Dick", "influenced_by", "Immanuel_Kant" ], [ "Philip_K._Dick", "influenced_by", "Marcel_Proust" ], [ "Philip_K._Dick", "influenced_by", "Martin_Heidegger" ], [ "Philip_Pullman", "award", "Locus_Award_for_Best_Fantasy_Novel" ], [ "Philip_Pullman", "award", "World_Fantasy_Award_for_Best_Novel" ], [ "Philip_Roth", "award", "National_Book_Award_for_Fiction" ], [ "Philip_Roth", "award", "Pulitzer_Prize_for_Fiction" ], [ "Philip_Roth", "influenced_by", "Leo_Tolstoy" ], [ "Plato", "profession", "Physicist" ], [ "Prometheus_Hall_of_Fame_Award", "award_winner", "Alan_Moore" ], [ "Prometheus_Hall_of_Fame_Award", "award_winner", "Anthony_Burgess" ], [ "Prometheus_Hall_of_Fame_Award", "award_winner", "Ayn_Rand" ], [ "Prometheus_Hall_of_Fame_Award", "award_winner", "George_Orwell" ], [ "Prometheus_Hall_of_Fame_Award", "award_winner", "J._R._R._Tolkien" ], [ "Prometheus_Hall_of_Fame_Award", "award_winner", "Ray_Bradbury" ], [ "Prometheus_Hall_of_Fame_Award", "award_winner", "Robert_A._Heinlein" ], [ "Prometheus_Hall_of_Fame_Award", "award_winner", "Robert_Anton_Wilson" ], [ "Prometheus_Hall_of_Fame_Award", "award_winner", "Ursula_K._Le_Guin" ], [ "Prometheus_Hall_of_Fame_Award", "ceremony", "67th_World_Science_Fiction_Convention" ], [ "Prometheus_Hall_of_Fame_Award", "disciplines_or_subjects", "Fiction" ], [ "Pulitzer_Prize_for_Fiction", "award_winner", "John_Steinbeck" ], [ "Pulitzer_Prize_for_Fiction", "award_winner", "John_Updike" ], [ "Pulitzer_Prize_for_Fiction", "award_winner", "Michael_Chabon" ], [ "Pulitzer_Prize_for_Fiction", "award_winner", "Norman_Mailer" ], [ "Pulitzer_Prize_for_Fiction", "award_winner", "Saul_Bellow" ], [ "Pulitzer_Prize_for_Fiction", "award_winner", "Toni_Morrison" ], [ "Pulitzer_Prize_for_Fiction", "award_winner", "William_Faulkner" ], [ "Pulitzer_Prize_for_Fiction", "disciplines_or_subjects", "Fiction" ], [ "Ralph_Waldo_Emerson", "influenced_by", "Plato" ], [ "Ray_Bradbury", "award", "Locus_Award_for_Best_Fantasy_Novel" ], [ "Ray_Bradbury", "award", "World_Fantasy_Award_for_Best_Novel" ], [ "Ray_Bradbury", "influenced_by", "George_Bernard_Shaw" ], [ "Richard_Rorty", "influenced_by", "Plato" ], [ "Richard_Rorty", "influenced_by", "Walt_Whitman" ], [ "Robert_A._Heinlein", "award", "Locus_Award_for_Best_Fantasy_Novel" ], [ "Robert_A._Heinlein", "award", "Prometheus_Hall_of_Fame_Award" ], [ "Robert_Anton_Wilson", "location", "County_Dublin" ], [ "Roger_Zelazny", "award", "Hugo_Award_for_Best_Novelette" ], [ "Roger_Zelazny", "award", "Hugo_Award_for_Best_Novella" ], [ "Roger_Zelazny", "award", "Hugo_Award_for_Best_Short_Story" ], [ "Roger_Zelazny", "award", "Locus_Award_for_Best_Fantasy_Novel" ], [ "Roger_Zelazny", "award", "Nebula_Award_for_Best_Novelette" ], [ "Roger_Zelazny", "award", "Nebula_Award_for_Best_Novella" ], [ "Roger_Zelazny", "award", "Nebula_Award_for_Best_Short_Story" ], [ "Roger_Zelazny", "influenced_by", "Jack_Vance" ], [ "Salman_Rushdie", "award", "International_IMPAC_Dublin_Literary_Award" ], [ "Salman_Rushdie", "award", "James_Tiptree,_Jr._Award" ], [ "Salman_Rushdie", "award", "Locus_Award_for_Best_Fantasy_Novel" ], [ "Salman_Rushdie", "influenced_by", "Anton_Chekhov" ], [ "Salman_Rushdie", "influenced_by", "Christopher_Hitchens" ], [ "Salman_Rushdie", "influenced_by", "Italo_Calvino" ], [ "Salman_Rushdie", "influenced_by", "P._G._Wodehouse" ], [ "Salman_Rushdie", "influenced_by", "Saul_Bellow" ], [ "Salman_Rushdie", "influenced_by", "Thomas_Pynchon" ], [ "Salman_Rushdie", "influenced_by", "Ursula_K._Le_Guin" ], [ "Salman_Rushdie", "influenced_by", "Vladimir_Vladimirovich_Nabokov" ], [ "Samuel_R._Delany", "award", "Hugo_Award_for_Best_Novelette" ], [ "Samuel_R._Delany", "award", "Hugo_Award_for_Best_Novella" ], [ "Samuel_R._Delany", "award", "Hugo_Award_for_Best_Short_Story" ], [ "Samuel_R._Delany", "award", "James_Tiptree,_Jr._Award" ], [ "Samuel_R._Delany", "award", "Locus_Award_for_Best_Fantasy_Novel" ], [ "Samuel_R._Delany", "award", "Nebula_Award_for_Best_Novelette" ], [ "Samuel_R._Delany", "award", "Nebula_Award_for_Best_Novella" ], [ "Samuel_R._Delany", "award", "Nebula_Award_for_Best_Short_Story" ], [ "Samuel_R._Delany", "influenced_by", "John_Keats" ], [ "Samuel_R._Delany", "influenced_by", "Plato" ], [ "Samuel_R._Delany", "influenced_by", "Virginia_Woolf" ], [ "Saul_Bellow", "award", "National_Book_Award_for_Fiction" ], [ "Seamus_Heaney", "influenced_by", "Dante_Alighieri" ], [ "Seamus_Heaney", "influenced_by", "John_Keats" ], [ "T._S._Eliot", "influenced_by", "Dante_Alighieri" ], [ "T._S._Eliot", "influenced_by", "Walt_Whitman" ], [ "Terry_Pratchett", "award", "James_Tiptree,_Jr._Award" ], [ "Terry_Pratchett", "award", "Locus_Award_for_Best_Fantasy_Novel" ], [ "Terry_Pratchett", "award", "World_Fantasy_Award_for_Best_Novel" ], [ "Terry_Pratchett", "influenced_by", "Jack_Vance" ], [ "The_Lord_of_the_Rings", "award_honor_award", "Prometheus_Hall_of_Fame_Award" ], [ "The_Lord_of_the_Rings", "award_winner", "J._R._R._Tolkien" ], [ "The_Lord_of_the_Rings", "story_by", "J._R._R._Tolkien" ], [ "Thomas_Aquinas", "influenced_by", "Aristotle" ], [ "Thomas_Aquinas", "influenced_by", "Plato" ], [ "Thomas_Hobbes", "influenced_by", "Aristotle" ], [ "Thomas_Hobbes", "influenced_by", "Plato" ], [ "Thomas_Mann", "award", "National_Book_Award_for_Fiction" ], [ "Thomas_Mann", "influenced_by", "Carl_Jung" ], [ "Thomas_Mann", "influenced_by", "Leo_Tolstoy" ], [ "Thomas_Pynchon", "award", "National_Book_Award_for_Fiction" ], [ "Tom_Stoppard", "influenced_by", "Albert_Camus" ], [ "Tom_Stoppard", "influenced_by", "Henry_James" ], [ "Tom_Stoppard", "influenced_by", "Oscar_Wilde" ], [ "Toni_Morrison", "award", "National_Book_Award_for_Fiction" ], [ "Toni_Morrison", "award", "Pulitzer_Prize_for_Fiction" ], [ "Toni_Morrison", "influenced_by", "Virginia_Woolf" ], [ "Ursula_K._Le_Guin", "award", "Hugo_Award_for_Best_Novelette" ], [ "Ursula_K._Le_Guin", "award", "Hugo_Award_for_Best_Novella" ], [ "Ursula_K._Le_Guin", "award", "Hugo_Award_for_Best_Short_Story" ], [ "Ursula_K._Le_Guin", "award", "James_Tiptree,_Jr._Award" ], [ "Ursula_K._Le_Guin", "award", "National_Book_Award_for_Fiction" ], [ "Ursula_K._Le_Guin", "award", "Nebula_Award_for_Best_Novelette" ], [ "Ursula_K._Le_Guin", "award", "Nebula_Award_for_Best_Novella" ], [ "Ursula_K._Le_Guin", "award", "Nebula_Award_for_Best_Short_Story" ], [ "Ursula_K._Le_Guin", "award", "Pulitzer_Prize_for_Fiction" ], [ "Ursula_K._Le_Guin", "award", "World_Fantasy_Award_for_Best_Novel" ], [ "Ursula_K._Le_Guin", "award", "World_Fantasy_Award_for_Best_Novella" ], [ "Ursula_K._Le_Guin", "influenced_by", "Carl_Jung" ], [ "Ursula_K._Le_Guin", "influenced_by", "J._R._R._Tolkien" ], [ "Ursula_K._Le_Guin", "influenced_by", "Jack_Vance" ], [ "Ursula_K._Le_Guin", "influenced_by", "Leo_Tolstoy" ], [ "Ursula_K._Le_Guin", "influenced_by", "Philip_K._Dick" ], [ "Ursula_K._Le_Guin", "influenced_by", "Virginia_Woolf" ], [ "Victor_Hugo", "influenced_by", "Jean-Jacques_Rousseau" ], [ "Victor_Hugo", "influenced_by", "Voltaire" ], [ "Victor_Hugo", "influenced_by", "Walter_Scott" ], [ "Virginia_Woolf", "influenced_by", "Anton_Chekhov" ], [ "Virginia_Woolf", "influenced_by", "Leo_Tolstoy" ], [ "Virginia_Woolf", "influenced_by", "Marcel_Proust" ], [ "Vladimir_Vladimirovich_Nabokov", "award", "National_Book_Award_for_Fiction" ], [ "Vladimir_Vladimirovich_Nabokov", "influenced_by", "Leo_Tolstoy" ], [ "Voltaire", "influenced_by", "Plato" ], [ "Walt_Whitman", "influenced_by", "Georg_Wilhelm_Friedrich_Hegel" ], [ "Walt_Whitman", "influenced_by", "Oscar_Wilde" ], [ "Walt_Whitman", "influenced_by", "Ralph_Waldo_Emerson" ], [ "Walt_Whitman", "influenced_by", "Walter_Scott" ], [ "William_Butler_Yeats", "influenced_by", "John_Keats" ], [ "William_Butler_Yeats", "location", "County_Dublin" ], [ "William_Faulkner", "award", "National_Book_Award_for_Fiction" ], [ "William_Faulkner", "influenced_by", "John_Keats" ], [ "William_Faulkner", "influenced_by", "Leo_Tolstoy" ], [ "World_Fantasy_Award_for_Best_Novel", "award_winner", "Gene_Wolfe" ], [ "World_Fantasy_Award_for_Best_Novel", "award_winner", "Haruki_Murakami" ], [ "World_Fantasy_Award_for_Best_Novel", "award_winner", "Jack_Vance" ], [ "World_Fantasy_Award_for_Best_Novel", "award_winner", "Michael_Moorcock" ], [ "World_Fantasy_Award_for_Best_Novel", "award_winner", "Ursula_K._Le_Guin" ], [ "World_Fantasy_Award_for_Best_Novel", "disciplines_or_subjects", "Fiction" ], [ "World_Fantasy_Award_for_Best_Novella", "award_winner", "George_R._R._Martin" ], [ "World_Fantasy_Award_for_Best_Novella", "award_winner", "Ursula_K._Le_Guin" ], [ "World_Fantasy_Award_for_Best_Novella", "disciplines_or_subjects", "Fiction" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 10646, Alameda_County 3335, Alan_Cumming 4260, Cupertino 4153, Dianna_Agron 9214, Edinburgh 3708, Iain_Glen 1553, Matthew_Morrison 7541, Naya_Rivera 7328, Palo_Alto 10501, Patrick_Doyle 6883, Phyllis_Logan 2515, Robert_Carlyle 33, San_Francisco 2099, San_Francisco_Bay_Area 11612, San_Jose 10986, San_Mateo_County 8653, Santa_Clara 11185, Santa_Clara_County 3518, Santa_Cruz_County 5929, Scotland 13866, Scottish_people 3455, The_Royal_Conservatoire_of_Scotland src, edge_attr, dst 10646, adjoins, 11185 3335, nationality, 5929 4260, adjoins, 11612 4260, adjoins, 8653 4260, county, 11185 4260, place, 4260 4153, award_nominee, 1553 4153, award_nominee, 7541 4153, award_winner, 1553 4153, award_winner, 7541 4153, location, 33 9214, administrative_parent, 5929 9214, country, 5929 9214, first_level_division, 5929 3708, award_winner, 6883 3708, location, 9214 3708, nationality, 5929 3708, place_of_birth, 9214 1553, award_nominee, 4153 1553, award_nominee, 7541 1553, award_winner, 4153 7541, award_nominee, 4153 7541, award_winner, 4153 7541, award_winner, 1553 7328, county, 11185 10501, nationality, 5929 6883, award_nominee, 3708 6883, award_winner, 3708 6883, nationality, 5929 2515, nationality, 5929 2099, contains, 10646 2099, contains, 4260 2099, contains, 7328 2099, contains, 33 2099, contains, 10986 2099, contains, 8653 2099, contains, 11185 2099, contains, 3518 11612, adjoins, 4260 11612, adjoins, 8653 11612, administrative_division, 11185 11612, county, 11185 11612, place, 11612 10986, adjoins, 11185 8653, adjoins, 4260 8653, adjoins, 11612 8653, county, 11185 8653, place, 8653 11185, adjoins, 10646 11185, adjoins, 10986 11185, adjoins, 3518 11185, contains, 4260 11185, county_seat, 11612 5929, capital, 9214 13866, people, 3708 13866, people, 1553 3455, student, 3335 3455, student, 10501 3455, student, 6883 3455, student, 2515 Question: For what reason are Naya_Rivera, Phyllis_Logan, and Santa_Clara associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Naya_Rivera", "Phyllis_Logan", "Santa_Clara" ], "valid_edges": [ [ "Alameda_County", "adjoins", "Santa_Clara_County" ], [ "Alan_Cumming", "nationality", "Scotland" ], [ "Cupertino", "adjoins", "San_Jose" ], [ "Cupertino", "adjoins", "Santa_Clara" ], [ "Cupertino", "county", "Santa_Clara_County" ], [ "Cupertino", "place", "Cupertino" ], [ "Dianna_Agron", "award_nominee", "Matthew_Morrison" ], [ "Dianna_Agron", "award_nominee", "Naya_Rivera" ], [ "Dianna_Agron", "award_winner", "Matthew_Morrison" ], [ "Dianna_Agron", "award_winner", "Naya_Rivera" ], [ "Dianna_Agron", "location", "San_Francisco" ], [ "Edinburgh", "administrative_parent", "Scotland" ], [ "Edinburgh", "country", "Scotland" ], [ "Edinburgh", "first_level_division", "Scotland" ], [ "Iain_Glen", "award_winner", "Phyllis_Logan" ], [ "Iain_Glen", "location", "Edinburgh" ], [ "Iain_Glen", "nationality", "Scotland" ], [ "Iain_Glen", "place_of_birth", "Edinburgh" ], [ "Matthew_Morrison", "award_nominee", "Dianna_Agron" ], [ "Matthew_Morrison", "award_nominee", "Naya_Rivera" ], [ "Matthew_Morrison", "award_winner", "Dianna_Agron" ], [ "Naya_Rivera", "award_nominee", "Dianna_Agron" ], [ "Naya_Rivera", "award_winner", "Dianna_Agron" ], [ "Naya_Rivera", "award_winner", "Matthew_Morrison" ], [ "Palo_Alto", "county", "Santa_Clara_County" ], [ "Patrick_Doyle", "nationality", "Scotland" ], [ "Phyllis_Logan", "award_nominee", "Iain_Glen" ], [ "Phyllis_Logan", "award_winner", "Iain_Glen" ], [ "Phyllis_Logan", "nationality", "Scotland" ], [ "Robert_Carlyle", "nationality", "Scotland" ], [ "San_Francisco_Bay_Area", "contains", "Alameda_County" ], [ "San_Francisco_Bay_Area", "contains", "Cupertino" ], [ "San_Francisco_Bay_Area", "contains", "Palo_Alto" ], [ "San_Francisco_Bay_Area", "contains", "San_Francisco" ], [ "San_Francisco_Bay_Area", "contains", "San_Mateo_County" ], [ "San_Francisco_Bay_Area", "contains", "Santa_Clara" ], [ "San_Francisco_Bay_Area", "contains", "Santa_Clara_County" ], [ "San_Francisco_Bay_Area", "contains", "Santa_Cruz_County" ], [ "San_Jose", "adjoins", "Cupertino" ], [ "San_Jose", "adjoins", "Santa_Clara" ], [ "San_Jose", "administrative_division", "Santa_Clara_County" ], [ "San_Jose", "county", "Santa_Clara_County" ], [ "San_Jose", "place", "San_Jose" ], [ "San_Mateo_County", "adjoins", "Santa_Clara_County" ], [ "Santa_Clara", "adjoins", "Cupertino" ], [ "Santa_Clara", "adjoins", "San_Jose" ], [ "Santa_Clara", "county", "Santa_Clara_County" ], [ "Santa_Clara", "place", "Santa_Clara" ], [ "Santa_Clara_County", "adjoins", "Alameda_County" ], [ "Santa_Clara_County", "adjoins", "San_Mateo_County" ], [ "Santa_Clara_County", "adjoins", "Santa_Cruz_County" ], [ "Santa_Clara_County", "contains", "Cupertino" ], [ "Santa_Clara_County", "county_seat", "San_Jose" ], [ "Scotland", "capital", "Edinburgh" ], [ "Scottish_people", "people", "Iain_Glen" ], [ "Scottish_people", "people", "Matthew_Morrison" ], [ "The_Royal_Conservatoire_of_Scotland", "student", "Alan_Cumming" ], [ "The_Royal_Conservatoire_of_Scotland", "student", "Patrick_Doyle" ], [ "The_Royal_Conservatoire_of_Scotland", "student", "Phyllis_Logan" ], [ "The_Royal_Conservatoire_of_Scotland", "student", "Robert_Carlyle" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 6730, 17th_Screen_Actors_Guild_Awards 12320, AC_Omonia 8469, Funny_Girl 12125, Gandhi 13238, Hameur_Bouazza 5634, Hello,_Dolly! 12590, Historical_fiction 12870, Islam 6787, Lawrence_of_Arabia 6684, New_York_Film_Critics_Circle_Award_for_Best_Actor 5621, Omar_Sharif 5838, Screen_Actors_Guild_Life_Achievement_Award 14045, The_King's_Speech 4092, The_Sand_Pebbles 9848, Walter_M._Scott 6471, Walter_Pidgeon 3681, William_Kiernan src, edge_attr, dst 6730, honored_for, 14045 8469, nominated_for, 5634 12125, award_honor_award, 6684 12125, genre, 12590 13238, religion, 12870 13238, team, 12320 5634, award_winner, 9848 5634, nominated_for, 8469 6787, genre, 12590 5621, acted_in, 8469 5621, acted_in, 6787 5621, nominated_for, 6787 5621, religion, 12870 5838, award_winner, 6471 5838, ceremony, 6730 14045, award_honor_award, 6684 14045, genre, 12590 4092, award_winner, 3681 4092, genre, 12590 9848, award_nominee, 3681 9848, film_sets_designed, 5634 9848, nominated_for, 5634 6471, acted_in, 8469 3681, award_winner, 9848 3681, film_sets_designed, 8469 3681, film_sets_designed, 4092 3681, nominated_for, 4092 Question: How are AC_Omonia, Funny_Girl, and The_King's_Speech related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "AC_Omonia", "Funny_Girl", "The_King's_Speech" ], "valid_edges": [ [ "17th_Screen_Actors_Guild_Awards", "honored_for", "The_King's_Speech" ], [ "Funny_Girl", "nominated_for", "Hello,_Dolly!" ], [ "Gandhi", "award_honor_award", "New_York_Film_Critics_Circle_Award_for_Best_Actor" ], [ "Gandhi", "genre", "Historical_fiction" ], [ "Hameur_Bouazza", "religion", "Islam" ], [ "Hameur_Bouazza", "team", "AC_Omonia" ], [ "Hello,_Dolly!", "award_winner", "Walter_M._Scott" ], [ "Hello,_Dolly!", "nominated_for", "Funny_Girl" ], [ "Lawrence_of_Arabia", "genre", "Historical_fiction" ], [ "Omar_Sharif", "acted_in", "Funny_Girl" ], [ "Omar_Sharif", "acted_in", "Lawrence_of_Arabia" ], [ "Omar_Sharif", "nominated_for", "Lawrence_of_Arabia" ], [ "Omar_Sharif", "religion", "Islam" ], [ "Screen_Actors_Guild_Life_Achievement_Award", "award_winner", "Walter_Pidgeon" ], [ "Screen_Actors_Guild_Life_Achievement_Award", "ceremony", "17th_Screen_Actors_Guild_Awards" ], [ "The_King's_Speech", "award_honor_award", "New_York_Film_Critics_Circle_Award_for_Best_Actor" ], [ "The_King's_Speech", "genre", "Historical_fiction" ], [ "The_Sand_Pebbles", "award_winner", "William_Kiernan" ], [ "The_Sand_Pebbles", "genre", "Historical_fiction" ], [ "Walter_M._Scott", "award_nominee", "William_Kiernan" ], [ "Walter_M._Scott", "film_sets_designed", "Hello,_Dolly!" ], [ "Walter_M._Scott", "nominated_for", "Hello,_Dolly!" ], [ "Walter_Pidgeon", "acted_in", "Funny_Girl" ], [ "William_Kiernan", "award_winner", "Walter_M._Scott" ], [ "William_Kiernan", "film_sets_designed", "Funny_Girl" ], [ "William_Kiernan", "film_sets_designed", "The_Sand_Pebbles" ], [ "William_Kiernan", "nominated_for", "The_Sand_Pebbles" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 2499, Brian_Eno 10359, Charles_Darwin 9300, Charles_LeMaire 9229, Evansville 13169, Heart_failure 10948, Howard_Hawks 8134, Indiana 14093, Oboe 958, Palm_Springs src, edge_attr, dst 2499, influenced_by, 10359 2499, role, 14093 9300, place_of_death, 958 9229, place, 9229 13169, people, 10359 13169, people, 9300 10948, location, 8134 10948, place_of_death, 958 8134, contains, 9229 958, place, 958 Question: For what reason are Charles_LeMaire, Evansville, and Oboe associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Charles_LeMaire", "Evansville", "Oboe" ], "valid_edges": [ [ "Brian_Eno", "influenced_by", "Charles_Darwin" ], [ "Brian_Eno", "role", "Oboe" ], [ "Charles_LeMaire", "place_of_death", "Palm_Springs" ], [ "Evansville", "place", "Evansville" ], [ "Heart_failure", "people", "Charles_Darwin" ], [ "Heart_failure", "people", "Charles_LeMaire" ], [ "Howard_Hawks", "location", "Indiana" ], [ "Howard_Hawks", "place_of_death", "Palm_Springs" ], [ "Indiana", "contains", "Evansville" ], [ "Palm_Springs", "place", "Palm_Springs" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 7836, AACTA_Award_for_Best_Cinematography 2830, A_Very_Long_Engagement 12969, Alexander_Golitzen 10796, All_Quiet_on_the_Western_Front 5928, Anti-war 5149, Breaker_Morant 4649, Brothers 14148, Dwight_D._Eisenhower 10290, Foreign_Correspondent 8579, Full_Metal_Jacket 12924, Gallipoli 9337, Gregg_Allman 9040, Hearts_and_Minds 2397, Immortals 803, Joan_of_Arc 12106, Legends_of_the_Fall 10798, Nicholas_and_Alexandra 13032, Oh!_What_a_Lovely_War 7117, Political_cinema 12608, Ryan_Kavanaugh 7043, Slaughterhouse-Five 3170, Southern_rock 1824, Stephen_Dorff 10951, The_Kingdom 9938, The_Men_Who_Stare_at_Goats 6746, Tim_McGraw 4081, Vietnamese_Language 6734, Walter_Wanger 1853, War_film 5674, We_Were_Soldiers 7451, Why_We_Fight 3629, World_Trade_Center 8688, World_War_I src, edge_attr, dst 7836, nominated_for, 5149 7836, nominated_for, 12924 2830, genre, 1853 12969, nominated_for, 10290 10796, genre, 1853 5149, award_honor_award, 7836 5149, genre, 5928 5149, genre, 1853 4649, genre, 1853 4649, produced_by, 12608 10290, film_art_direction_by, 12969 10290, genre, 1853 10290, produced_by, 6734 8579, genre, 5928 8579, genre, 1853 8579, language, 4081 12924, award_honor_award, 7836 12924, genre, 1853 9040, genre, 7117 9040, genre, 1853 9040, language, 4081 9040, person, 14148 2397, genre, 1853 2397, produced_by, 12608 803, genre, 1853 803, produced_by, 6734 12106, genre, 1853 10798, genre, 1853 13032, genre, 5928 13032, genre, 1853 7043, film_art_direction_by, 12969 7043, genre, 5928 7043, genre, 1853 3170, artists, 9337 3170, artists, 6746 1824, acted_in, 2397 1824, acted_in, 3629 10951, executive_produced_by, 12608 10951, genre, 1853 9938, genre, 7117 9938, genre, 1853 6746, acted_in, 10951 6734, nominated_for, 10290 1853, split_to, 1853 5674, genre, 1853 5674, language, 4081 7451, genre, 7117 7451, genre, 1853 7451, person, 14148 3629, genre, 1853 8688, films, 2830 8688, films, 10796 8688, films, 12924 8688, films, 12106 8688, films, 10798 8688, films, 13032 Question: For what reason are Foreign_Correspondent, Gregg_Allman, and War_film associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Foreign_Correspondent", "Gregg_Allman", "War_film" ], "valid_edges": [ [ "AACTA_Award_for_Best_Cinematography", "nominated_for", "Breaker_Morant" ], [ "AACTA_Award_for_Best_Cinematography", "nominated_for", "Gallipoli" ], [ "A_Very_Long_Engagement", "genre", "War_film" ], [ "Alexander_Golitzen", "nominated_for", "Foreign_Correspondent" ], [ "All_Quiet_on_the_Western_Front", "genre", "War_film" ], [ "Breaker_Morant", "award_honor_award", "AACTA_Award_for_Best_Cinematography" ], [ "Breaker_Morant", "genre", "Anti-war" ], [ "Breaker_Morant", "genre", "War_film" ], [ "Brothers", "genre", "War_film" ], [ "Brothers", "produced_by", "Ryan_Kavanaugh" ], [ "Foreign_Correspondent", "film_art_direction_by", "Alexander_Golitzen" ], [ "Foreign_Correspondent", "genre", "War_film" ], [ "Foreign_Correspondent", "produced_by", "Walter_Wanger" ], [ "Full_Metal_Jacket", "genre", "Anti-war" ], [ "Full_Metal_Jacket", "genre", "War_film" ], [ "Full_Metal_Jacket", "language", "Vietnamese_Language" ], [ "Gallipoli", "award_honor_award", "AACTA_Award_for_Best_Cinematography" ], [ "Gallipoli", "genre", "War_film" ], [ "Hearts_and_Minds", "genre", "Political_cinema" ], [ "Hearts_and_Minds", "genre", "War_film" ], [ "Hearts_and_Minds", "language", "Vietnamese_Language" ], [ "Hearts_and_Minds", "person", "Dwight_D._Eisenhower" ], [ "Immortals", "genre", "War_film" ], [ "Immortals", "produced_by", "Ryan_Kavanaugh" ], [ "Joan_of_Arc", "genre", "War_film" ], [ "Joan_of_Arc", "produced_by", "Walter_Wanger" ], [ "Legends_of_the_Fall", "genre", "War_film" ], [ "Nicholas_and_Alexandra", "genre", "War_film" ], [ "Oh!_What_a_Lovely_War", "genre", "Anti-war" ], [ "Oh!_What_a_Lovely_War", "genre", "War_film" ], [ "Slaughterhouse-Five", "film_art_direction_by", "Alexander_Golitzen" ], [ "Slaughterhouse-Five", "genre", "Anti-war" ], [ "Slaughterhouse-Five", "genre", "War_film" ], [ "Southern_rock", "artists", "Gregg_Allman" ], [ "Southern_rock", "artists", "Tim_McGraw" ], [ "Stephen_Dorff", "acted_in", "Immortals" ], [ "Stephen_Dorff", "acted_in", "World_Trade_Center" ], [ "The_Kingdom", "executive_produced_by", "Ryan_Kavanaugh" ], [ "The_Kingdom", "genre", "War_film" ], [ "The_Men_Who_Stare_at_Goats", "genre", "Political_cinema" ], [ "The_Men_Who_Stare_at_Goats", "genre", "War_film" ], [ "Tim_McGraw", "acted_in", "The_Kingdom" ], [ "Walter_Wanger", "nominated_for", "Foreign_Correspondent" ], [ "War_film", "split_to", "War_film" ], [ "We_Were_Soldiers", "genre", "War_film" ], [ "We_Were_Soldiers", "language", "Vietnamese_Language" ], [ "Why_We_Fight", "genre", "Political_cinema" ], [ "Why_We_Fight", "genre", "War_film" ], [ "Why_We_Fight", "person", "Dwight_D._Eisenhower" ], [ "World_Trade_Center", "genre", "War_film" ], [ "World_War_I", "films", "A_Very_Long_Engagement" ], [ "World_War_I", "films", "All_Quiet_on_the_Western_Front" ], [ "World_War_I", "films", "Gallipoli" ], [ "World_War_I", "films", "Legends_of_the_Fall" ], [ "World_War_I", "films", "Nicholas_and_Alexandra" ], [ "World_War_I", "films", "Oh!_What_a_Lovely_War" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 75, 104th_United_States_Congress 616, 105th_United_States_Congress 13998, 106th_United_States_Congress 11768, 107th_United_States_Congress 1113, 108th_United_States_Congress 13445, 109th_United_States_Congress 362, 110th_United_States_Congress 7637, 111th_United_States_Congress 10634, 112th_United_States_Congress 6673, 113th_United_States_Congress 1591, 16th_United_States_Congress 12220, 17th_United_States_Congress 1660, 18th_United_States_Congress 1138, 19th_United_States_Congress 3217, 20th_United_States_Congress 9124, 23rd_United_States_Congress 6318, 25th_United_States_Congress 14252, 26th_United_States_Congress 2700, 27th_United_States_Congress 12527, 28th_United_States_Congress 8795, 30th_United_States_Congress 10644, 31st_United_States_Congress 994, 32nd_United_States_Congress 3259, Appalachian_Mountains 8356, Attorney_general 3717, Augusta 11478, Baptists 3769, Blues_Brothers_2000 5379, Christianity 4041, Churches_of_Christ 5064, Connecticut 8527, Contiguous_United_States 7749, Governor-GB 11245, James_Brown 7996, Litchfield 12982, Lutheranism 8306, Maine 7662, Methodism 13363, New_England 7765, New_Hampshire 13057, Nondenominational_Christianity 9830, Pentecostalism 5986, Presbyterianism 2244, Protestantism 6932, Rockingham_County 8889, Secretary_of_state 1258, United_Church_of_Christ 4242, York_County src, edge_attr, dst 75, district_represented, 5064 75, district_represented, 8306 616, district_represented, 5064 616, district_represented, 8306 13998, district_represented, 5064 13998, district_represented, 8306 11768, district_represented, 5064 11768, district_represented, 8306 1113, district_represented, 5064 1113, district_represented, 8306 13445, district_represented, 5064 13445, district_represented, 8306 362, district_represented, 5064 362, district_represented, 8306 7637, district_represented, 5064 7637, district_represented, 8306 10634, district_represented, 5064 10634, district_represented, 8306 6673, district_represented, 5064 6673, district_represented, 8306 1591, district_represented, 5064 1591, district_represented, 8306 12220, district_represented, 5064 12220, district_represented, 8306 1660, district_represented, 5064 1660, district_represented, 8306 1138, district_represented, 5064 1138, district_represented, 8306 3217, district_represented, 5064 3217, district_represented, 8306 9124, district_represented, 5064 9124, district_represented, 8306 6318, district_represented, 5064 6318, district_represented, 8306 14252, district_represented, 5064 14252, district_represented, 8306 2700, district_represented, 5064 2700, district_represented, 8306 12527, district_represented, 5064 12527, district_represented, 8306 8795, district_represented, 5064 8795, district_represented, 8306 10644, district_represented, 5064 10644, district_represented, 8306 994, district_represented, 5064 994, district_represented, 8306 8356, jurisdiction_of_office, 5064 8356, jurisdiction_of_office, 8306 3717, state, 8306 5064, contains, 7996 5064, partially_contains, 3259 5064, religion, 11478 5064, religion, 5379 5064, religion, 4041 5064, religion, 12982 5064, religion, 7662 5064, religion, 13057 5064, religion, 9830 5064, religion, 5986 5064, religion, 2244 5064, religion, 1258 8527, contains, 5064 8527, contains, 8306 7749, jurisdiction_of_office, 5064 7749, jurisdiction_of_office, 8306 11245, acted_in, 3769 11245, location, 3717 7996, place, 7996 8306, adjoins, 7765 8306, contains, 3717 8306, contains, 4242 8306, partially_contains, 3259 8306, religion, 11478 8306, religion, 5379 8306, religion, 4041 8306, religion, 12982 8306, religion, 7662 8306, religion, 13057 8306, religion, 9830 8306, religion, 5986 8306, religion, 2244 8306, religion, 1258 13363, contains, 5064 13363, contains, 8306 7765, adjoins, 8306 7765, contains, 6932 6932, adjoins, 4242 8889, jurisdiction_of_office, 5064 8889, jurisdiction_of_office, 8306 4242, adjoins, 6932 Question: How are Blues_Brothers_2000, Litchfield, and York_County related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Blues_Brothers_2000", "Litchfield", "York_County" ], "valid_edges": [ [ "104th_United_States_Congress", "district_represented", "Connecticut" ], [ "104th_United_States_Congress", "district_represented", "Maine" ], [ "105th_United_States_Congress", "district_represented", "Connecticut" ], [ "105th_United_States_Congress", "district_represented", "Maine" ], [ "106th_United_States_Congress", "district_represented", "Connecticut" ], [ "106th_United_States_Congress", "district_represented", "Maine" ], [ "107th_United_States_Congress", "district_represented", "Connecticut" ], [ "107th_United_States_Congress", "district_represented", "Maine" ], [ "108th_United_States_Congress", "district_represented", "Connecticut" ], [ "108th_United_States_Congress", "district_represented", "Maine" ], [ "109th_United_States_Congress", "district_represented", "Connecticut" ], [ "109th_United_States_Congress", "district_represented", "Maine" ], [ "110th_United_States_Congress", "district_represented", "Connecticut" ], [ "110th_United_States_Congress", "district_represented", "Maine" ], [ "111th_United_States_Congress", "district_represented", "Connecticut" ], [ "111th_United_States_Congress", "district_represented", "Maine" ], [ "112th_United_States_Congress", "district_represented", "Connecticut" ], [ "112th_United_States_Congress", "district_represented", "Maine" ], [ "113th_United_States_Congress", "district_represented", "Connecticut" ], [ "113th_United_States_Congress", "district_represented", "Maine" ], [ "16th_United_States_Congress", "district_represented", "Connecticut" ], [ "16th_United_States_Congress", "district_represented", "Maine" ], [ "17th_United_States_Congress", "district_represented", "Connecticut" ], [ "17th_United_States_Congress", "district_represented", "Maine" ], [ "18th_United_States_Congress", "district_represented", "Connecticut" ], [ "18th_United_States_Congress", "district_represented", "Maine" ], [ "19th_United_States_Congress", "district_represented", "Connecticut" ], [ "19th_United_States_Congress", "district_represented", "Maine" ], [ "20th_United_States_Congress", "district_represented", "Connecticut" ], [ "20th_United_States_Congress", "district_represented", "Maine" ], [ "23rd_United_States_Congress", "district_represented", "Connecticut" ], [ "23rd_United_States_Congress", "district_represented", "Maine" ], [ "25th_United_States_Congress", "district_represented", "Connecticut" ], [ "25th_United_States_Congress", "district_represented", "Maine" ], [ "26th_United_States_Congress", "district_represented", "Connecticut" ], [ "26th_United_States_Congress", "district_represented", "Maine" ], [ "27th_United_States_Congress", "district_represented", "Connecticut" ], [ "27th_United_States_Congress", "district_represented", "Maine" ], [ "28th_United_States_Congress", "district_represented", "Connecticut" ], [ "28th_United_States_Congress", "district_represented", "Maine" ], [ "30th_United_States_Congress", "district_represented", "Connecticut" ], [ "30th_United_States_Congress", "district_represented", "Maine" ], [ "31st_United_States_Congress", "district_represented", "Connecticut" ], [ "31st_United_States_Congress", "district_represented", "Maine" ], [ "32nd_United_States_Congress", "district_represented", "Connecticut" ], [ "32nd_United_States_Congress", "district_represented", "Maine" ], [ "Attorney_general", "jurisdiction_of_office", "Connecticut" ], [ "Attorney_general", "jurisdiction_of_office", "Maine" ], [ "Augusta", "state", "Maine" ], [ "Connecticut", "contains", "Litchfield" ], [ "Connecticut", "partially_contains", "Appalachian_Mountains" ], [ "Connecticut", "religion", "Baptists" ], [ "Connecticut", "religion", "Christianity" ], [ "Connecticut", "religion", "Churches_of_Christ" ], [ "Connecticut", "religion", "Lutheranism" ], [ "Connecticut", "religion", "Methodism" ], [ "Connecticut", "religion", "Nondenominational_Christianity" ], [ "Connecticut", "religion", "Pentecostalism" ], [ "Connecticut", "religion", "Presbyterianism" ], [ "Connecticut", "religion", "Protestantism" ], [ "Connecticut", "religion", "United_Church_of_Christ" ], [ "Contiguous_United_States", "contains", "Connecticut" ], [ "Contiguous_United_States", "contains", "Maine" ], [ "Governor-GB", "jurisdiction_of_office", "Connecticut" ], [ "Governor-GB", "jurisdiction_of_office", "Maine" ], [ "James_Brown", "acted_in", "Blues_Brothers_2000" ], [ "James_Brown", "location", "Augusta" ], [ "Litchfield", "place", "Litchfield" ], [ "Maine", "adjoins", "New_Hampshire" ], [ "Maine", "contains", "Augusta" ], [ "Maine", "contains", "York_County" ], [ "Maine", "partially_contains", "Appalachian_Mountains" ], [ "Maine", "religion", "Baptists" ], [ "Maine", "religion", "Christianity" ], [ "Maine", "religion", "Churches_of_Christ" ], [ "Maine", "religion", "Lutheranism" ], [ "Maine", "religion", "Methodism" ], [ "Maine", "religion", "Nondenominational_Christianity" ], [ "Maine", "religion", "Pentecostalism" ], [ "Maine", "religion", "Presbyterianism" ], [ "Maine", "religion", "Protestantism" ], [ "Maine", "religion", "United_Church_of_Christ" ], [ "New_England", "contains", "Connecticut" ], [ "New_England", "contains", "Maine" ], [ "New_Hampshire", "adjoins", "Maine" ], [ "New_Hampshire", "contains", "Rockingham_County" ], [ "Rockingham_County", "adjoins", "York_County" ], [ "Secretary_of_state", "jurisdiction_of_office", "Connecticut" ], [ "Secretary_of_state", "jurisdiction_of_office", "Maine" ], [ "York_County", "adjoins", "Rockingham_County" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 7898, 1900_Summer_Olympics 10047, 1904_Summer_Olympics 3309, 1908_Summer_Olympics 7962, 1912_Summer_Olympics 7085, 1928_Summer_Olympics 4954, 1932_Summer_Olympics 11367, 1936_Summer_Olympics 5250, 1952_Summer_Olympics 8933, 1964_Summer_Olympics 2827, 1968_Summer_Olympics 4549, 1976_Summer_Olympics 680, 1980_Summer_Olympics 6985, 1984_Summer_Olympics 4829, 1988_Summer_Olympics 7439, 1992_Summer_Olympics 6286, 1996_Summer_Olympics 5468, 2000_Summer_Olympics 1970, 2004_Summer_Olympics 5259, 2008_Summer_Olympics 926, 2012 446, 2012_Summer_Olympics 10812, A_Dangerous_Method 10489, Aachen 4399, Angela's_Ashes 13656, Anna_Paquin 10565, Australia 13923, Bad_Education 9590, Bad_Teacher 3678, Battle_Royale 10495, Beasts_of_the_Southern_Wild 4666, Beginners 4720, Being_John_Malkovich 7647, Brazil 11678, Canada 7754, Canada_men's_national_soccer_team 2763, Chivas_USA 3292, Coriolanus 3694, Cory_Monteith 7753, Crash 7160, Cree_Summer 5715, Defender 11197, Diana_Krall 10699, Election_2 12845, Elisha_Cuthbert 675, Ferris_Bueller's_Day_Off 10308, Football 230, France 4642, Funny_People 8701, G-Force 3252, Germany 3063, Germany_national_football_team 4706, Henry_Corden 12592, Howie_Mandel 12099, Iron_Man_2 14124, Joe_Shuster 5350, Kate_Hudson 214, Keanu_Reeves 5312, L.A._Confidential 1257, Lars_Hirschfeld 13022, Los_Angeles 3605, Mexico 9544, Michael_Cera 13519, Michael_Ironside 6652, Moneyball 1777, Munich 13193, National_Security 7327, Netherlands 5755, New_Moon 8723, New_Zealand 7704, Orduspor 13804, Pacific_Time_Zone 13155, Paul_Haggis 12212, Poland 4515, Rachel_Bilson 563, Ralph_E._Winters 11886, Raymond_Massey 2068, Red_State 11364, Requiem_for_a_Dream 3021, Robin_Thicke 7332, Rock_of_Ages 8571, Rushmore 11416, Seth_Rogen 8658, Seven_Pounds 12973, Sexy_Beast 10977, South_Africa 11026, Super_8 1596, Taken 13701, Terminator_2:_Judgment_Day 7968, Terminator_Salvation 5209, The_Artist 9256, The_Dark_Knight 2400, The_Expendables_2 2893, The_Flowers_of_War 13434, The_Hangover 723, The_Hunger_Games 5017, The_Impossible 3608, The_Iron_Lady 6193, Tom_Green 1693, Transformers 8937, Transformers:_Dark_of_the_Moon 899, Young_Adam 5, Zooey_Deschanel src, edge_attr, dst 7898, participating_countries, 11678 7898, participating_countries, 3252 4954, locations, 13022 11367, participating_countries, 11678 11367, participating_countries, 3252 5250, participating_countries, 11678 5250, participating_countries, 3252 6985, locations, 13022 5259, participating_countries, 11678 5259, participating_countries, 3252 926, featured_film_locations, 13022 926, film_release_region, 11678 926, film_release_region, 3252 446, participating_countries, 3252 10812, film_country, 3252 10812, film_release_region, 11678 10812, film_release_region, 3252 10812, film_release_region, 13022 4399, film_release_region, 11678 4399, film_release_region, 3252 4399, film_release_region, 13022 13656, location, 13022 13656, nationality, 11678 10565, combatants, 11678 10565, combatants, 3252 13923, film_release_region, 11678 13923, film_release_region, 3252 13923, film_release_region, 13022 9590, featured_film_locations, 13022 9590, film_release_region, 11678 9590, film_release_region, 3252 3678, film_regional_debut_venue, 13022 3678, film_release_region, 11678 3678, film_release_region, 3252 10495, film_release_region, 11678 10495, film_release_region, 3252 10495, film_release_region, 13022 4666, film_regional_debut_venue, 13022 4666, film_release_region, 11678 4666, film_release_region, 3252 4720, featured_film_locations, 13022 4720, film_release_region, 11678 7647, combatants, 11678 7647, combatants, 3252 11678, combatants, 10565 11678, combatants, 7647 11678, combatants, 3252 11678, combatants, 3605 11678, combatants, 8723 11678, combatants, 12212 11678, combatants, 10977 11678, olympics, 7898 11678, olympics, 10047 11678, olympics, 3309 11678, olympics, 7962 11678, olympics, 7085 11678, olympics, 4954 11678, olympics, 11367 11678, olympics, 5250 11678, olympics, 8933 11678, olympics, 2827 11678, olympics, 4549 11678, olympics, 680 11678, olympics, 6985 11678, olympics, 4829 11678, olympics, 7439 11678, olympics, 6286 11678, olympics, 5468 11678, olympics, 1970 11678, olympics, 5259 11678, olympics, 446 11678, teams, 7754 11678, time_zones, 13804 11678, vacationer, 5350 11678, vacationer, 4515 7754, football_roster_position, 5715 7754, position, 5715 2763, football_roster_position, 5715 3292, film_release_region, 11678 3292, film_release_region, 3252 3292, film_release_region, 13022 3694, location, 13022 3694, nationality, 11678 7753, featured_film_locations, 13022 7753, film_country, 11678 7753, film_country, 3252 7160, location, 13022 7160, nationality, 11678 5715, team, 7754 5715, team, 2763 11197, location, 13022 11197, nationality, 11678 10699, film_release_region, 11678 10699, film_release_region, 13022 12845, location, 13022 12845, nationality, 11678 675, featured_film_locations, 13022 675, film_release_region, 11678 10308, country, 11678 10308, country, 3252 230, adjoins, 3252 230, combatants, 11678 230, combatants, 3252 4642, featured_film_locations, 13022 4642, film_release_region, 11678 4642, film_release_region, 3252 8701, featured_film_locations, 13022 8701, film_release_region, 11678 8701, film_release_region, 3252 3252, adjoins, 230 3252, adjoins, 7327 3252, adjoins, 12212 3252, combatants, 10565 3252, combatants, 7647 3252, combatants, 11678 3252, combatants, 230 3252, combatants, 3605 3252, combatants, 7327 3252, combatants, 8723 3252, contains, 10489 3252, contains, 1777 3252, olympics, 10047 3252, olympics, 3309 3252, olympics, 7962 3252, olympics, 7085 3252, olympics, 4954 3252, olympics, 11367 3252, olympics, 5250 3252, olympics, 8933 3252, olympics, 2827 3252, olympics, 4549 3252, olympics, 680 3252, olympics, 4829 3252, olympics, 7439 3252, olympics, 6286 3252, olympics, 5468 3252, olympics, 1970 3252, olympics, 5259 3252, olympics, 446 3252, teams, 3063 3063, football_roster_position, 5715 3063, position, 5715 4706, nationality, 11678 4706, place_of_death, 13022 12592, location, 13022 12592, nationality, 11678 12099, film_release_region, 11678 12099, film_release_region, 3252 12099, film_release_region, 13022 14124, nationality, 11678 14124, place_of_death, 13022 5350, location, 13022 5350, place_of_birth, 13022 214, location, 13022 214, nationality, 11678 5312, featured_film_locations, 13022 5312, film_release_region, 11678 5312, film_release_region, 3252 1257, nationality, 11678 1257, nationality, 3252 13022, place, 13022 13022, teams, 2763 13022, time_zones, 13804 3605, combatants, 11678 3605, combatants, 3252 9544, location, 13022 9544, nationality, 11678 13519, location, 13022 13519, nationality, 11678 6652, featured_film_locations, 13022 6652, film_release_region, 11678 6652, film_release_region, 3252 1777, country, 3252 1777, featured_film_locations, 3252 1777, film_country, 11678 13193, featured_film_locations, 13022 13193, film_release_region, 11678 13193, film_release_region, 3252 7327, adjoins, 3252 7327, combatants, 11678 7327, combatants, 3252 5755, film_release_region, 11678 5755, film_release_region, 3252 5755, film_release_region, 13022 8723, combatants, 11678 8723, combatants, 3252 7704, football_roster_position, 5715 7704, position, 5715 13155, location, 13022 13155, nationality, 11678 12212, adjoins, 3252 12212, combatants, 11678 4515, location, 13022 4515, place_of_birth, 13022 563, nationality, 11678 563, place_of_death, 13022 11886, nationality, 11678 11886, place_of_death, 13022 2068, featured_film_locations, 13022 2068, film_release_region, 11678 2068, film_release_region, 3252 11364, film_release_region, 11678 11364, film_release_region, 3252 11364, film_release_region, 13022 3021, artist_origin, 13022 3021, nationality, 11678 7332, featured_film_locations, 13022 7332, film_release_region, 11678 7332, film_release_region, 3252 8571, film_release_region, 11678 8571, film_release_region, 3252 8571, film_release_region, 13022 11416, location, 13022 11416, nationality, 11678 8658, featured_film_locations, 13022 8658, film_release_region, 11678 8658, film_release_region, 3252 12973, film_release_region, 11678 12973, film_release_region, 3252 12973, film_release_region, 13022 10977, combatants, 11678 10977, combatants, 3252 11026, featured_film_locations, 13022 11026, film_release_region, 11678 11026, film_release_region, 3252 1596, featured_film_locations, 13022 1596, film_release_region, 11678 1596, film_release_region, 3252 13701, featured_film_locations, 13022 13701, film_release_region, 11678 13701, film_release_region, 3252 7968, featured_film_locations, 13022 7968, film_country, 3252 7968, film_release_region, 11678 7968, film_release_region, 3252 5209, featured_film_locations, 13022 5209, film_release_region, 11678 5209, film_release_region, 3252 9256, featured_film_locations, 13022 9256, film_release_region, 11678 9256, film_release_region, 3252 2400, film_regional_debut_venue, 13022 2400, film_release_region, 11678 2400, film_release_region, 3252 2893, film_release_region, 11678 2893, film_release_region, 3252 2893, film_release_region, 13022 13434, featured_film_locations, 13022 13434, film_country, 3252 13434, film_release_region, 11678 13434, film_release_region, 3252 723, film_release_region, 11678 723, film_release_region, 3252 723, film_release_region, 13022 5017, film_release_region, 11678 5017, film_release_region, 3252 5017, film_release_region, 13022 3608, film_release_region, 11678 3608, film_release_region, 3252 3608, film_release_region, 13022 6193, location, 13022 6193, nationality, 11678 1693, featured_film_locations, 13022 1693, film_release_region, 11678 1693, film_release_region, 3252 8937, featured_film_locations, 13022 8937, film_release_region, 11678 8937, film_release_region, 3252 899, film_release_region, 11678 899, film_release_region, 3252 899, film_release_region, 13022 5, artist_origin, 13022 5, location, 11678 5, location, 13022 5, place_of_birth, 13022 Question: How are Aachen, Being_John_Malkovich, and Orduspor related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Aachen", "Being_John_Malkovich", "Orduspor" ], "valid_edges": [ [ "1900_Summer_Olympics", "participating_countries", "Canada" ], [ "1900_Summer_Olympics", "participating_countries", "Germany" ], [ "1932_Summer_Olympics", "locations", "Los_Angeles" ], [ "1936_Summer_Olympics", "participating_countries", "Canada" ], [ "1936_Summer_Olympics", "participating_countries", "Germany" ], [ "1952_Summer_Olympics", "participating_countries", "Canada" ], [ "1952_Summer_Olympics", "participating_countries", "Germany" ], [ "1984_Summer_Olympics", "locations", "Los_Angeles" ], [ "2008_Summer_Olympics", "participating_countries", "Canada" ], [ "2008_Summer_Olympics", "participating_countries", "Germany" ], [ "2012", "featured_film_locations", "Los_Angeles" ], [ "2012", "film_release_region", "Canada" ], [ "2012", "film_release_region", "Germany" ], [ "2012_Summer_Olympics", "participating_countries", "Germany" ], [ "A_Dangerous_Method", "film_country", "Germany" ], [ "A_Dangerous_Method", "film_release_region", "Canada" ], [ "A_Dangerous_Method", "film_release_region", "Germany" ], [ "A_Dangerous_Method", "film_release_region", "Los_Angeles" ], [ "Angela's_Ashes", "film_release_region", "Canada" ], [ "Angela's_Ashes", "film_release_region", "Germany" ], [ "Angela's_Ashes", "film_release_region", "Los_Angeles" ], [ "Anna_Paquin", "location", "Los_Angeles" ], [ "Anna_Paquin", "nationality", "Canada" ], [ "Australia", "combatants", "Canada" ], [ "Australia", "combatants", "Germany" ], [ "Bad_Education", "film_release_region", "Canada" ], [ "Bad_Education", "film_release_region", "Germany" ], [ "Bad_Education", "film_release_region", "Los_Angeles" ], [ "Bad_Teacher", "featured_film_locations", "Los_Angeles" ], [ "Bad_Teacher", "film_release_region", "Canada" ], [ "Bad_Teacher", "film_release_region", "Germany" ], [ "Battle_Royale", "film_regional_debut_venue", "Los_Angeles" ], [ "Battle_Royale", "film_release_region", "Canada" ], [ "Battle_Royale", "film_release_region", "Germany" ], [ "Beasts_of_the_Southern_Wild", "film_release_region", "Canada" ], [ "Beasts_of_the_Southern_Wild", "film_release_region", "Germany" ], [ "Beasts_of_the_Southern_Wild", "film_release_region", "Los_Angeles" ], [ "Beginners", "film_regional_debut_venue", "Los_Angeles" ], [ "Beginners", "film_release_region", "Canada" ], [ "Beginners", "film_release_region", "Germany" ], [ "Being_John_Malkovich", "featured_film_locations", "Los_Angeles" ], [ "Being_John_Malkovich", "film_release_region", "Canada" ], [ "Brazil", "combatants", "Canada" ], [ "Brazil", "combatants", "Germany" ], [ "Canada", "combatants", "Australia" ], [ "Canada", "combatants", "Brazil" ], [ "Canada", "combatants", "Germany" ], [ "Canada", "combatants", "Mexico" ], [ "Canada", "combatants", "New_Zealand" ], [ "Canada", "combatants", "Poland" ], [ "Canada", "combatants", "South_Africa" ], [ "Canada", "olympics", "1900_Summer_Olympics" ], [ "Canada", "olympics", "1904_Summer_Olympics" ], [ "Canada", "olympics", "1908_Summer_Olympics" ], [ "Canada", "olympics", "1912_Summer_Olympics" ], [ "Canada", "olympics", "1928_Summer_Olympics" ], [ "Canada", "olympics", "1932_Summer_Olympics" ], [ "Canada", "olympics", "1936_Summer_Olympics" ], [ "Canada", "olympics", "1952_Summer_Olympics" ], [ "Canada", "olympics", "1964_Summer_Olympics" ], [ "Canada", "olympics", "1968_Summer_Olympics" ], [ "Canada", "olympics", "1976_Summer_Olympics" ], [ "Canada", "olympics", "1980_Summer_Olympics" ], [ "Canada", "olympics", "1984_Summer_Olympics" ], [ "Canada", "olympics", "1988_Summer_Olympics" ], [ "Canada", "olympics", "1992_Summer_Olympics" ], [ "Canada", "olympics", "1996_Summer_Olympics" ], [ "Canada", "olympics", "2000_Summer_Olympics" ], [ "Canada", "olympics", "2004_Summer_Olympics" ], [ "Canada", "olympics", "2008_Summer_Olympics" ], [ "Canada", "olympics", "2012_Summer_Olympics" ], [ "Canada", "teams", "Canada_men's_national_soccer_team" ], [ "Canada", "time_zones", "Pacific_Time_Zone" ], [ "Canada", "vacationer", "Kate_Hudson" ], [ "Canada", "vacationer", "Rachel_Bilson" ], [ "Canada_men's_national_soccer_team", "football_roster_position", "Defender" ], [ "Canada_men's_national_soccer_team", "position", "Defender" ], [ "Chivas_USA", "football_roster_position", "Defender" ], [ "Coriolanus", "film_release_region", "Canada" ], [ "Coriolanus", "film_release_region", "Germany" ], [ "Coriolanus", "film_release_region", "Los_Angeles" ], [ "Cory_Monteith", "location", "Los_Angeles" ], [ "Cory_Monteith", "nationality", "Canada" ], [ "Crash", "featured_film_locations", "Los_Angeles" ], [ "Crash", "film_country", "Canada" ], [ "Crash", "film_country", "Germany" ], [ "Cree_Summer", "location", "Los_Angeles" ], [ "Cree_Summer", "nationality", "Canada" ], [ "Defender", "team", "Canada_men's_national_soccer_team" ], [ "Defender", "team", "Chivas_USA" ], [ "Diana_Krall", "location", "Los_Angeles" ], [ "Diana_Krall", "nationality", "Canada" ], [ "Election_2", "film_release_region", "Canada" ], [ "Election_2", "film_release_region", "Los_Angeles" ], [ "Elisha_Cuthbert", "location", "Los_Angeles" ], [ "Elisha_Cuthbert", "nationality", "Canada" ], [ "Ferris_Bueller's_Day_Off", "featured_film_locations", "Los_Angeles" ], [ "Ferris_Bueller's_Day_Off", "film_release_region", "Canada" ], [ "Football", "country", "Canada" ], [ "Football", "country", "Germany" ], [ "France", "adjoins", "Germany" ], [ "France", "combatants", "Canada" ], [ "France", "combatants", "Germany" ], [ "Funny_People", "featured_film_locations", "Los_Angeles" ], [ "Funny_People", "film_release_region", "Canada" ], [ "Funny_People", "film_release_region", "Germany" ], [ "G-Force", "featured_film_locations", "Los_Angeles" ], [ "G-Force", "film_release_region", "Canada" ], [ "G-Force", "film_release_region", "Germany" ], [ "Germany", "adjoins", "France" ], [ "Germany", "adjoins", "Netherlands" ], [ "Germany", "adjoins", "Poland" ], [ "Germany", "combatants", "Australia" ], [ "Germany", "combatants", "Brazil" ], [ "Germany", "combatants", "Canada" ], [ "Germany", "combatants", "France" ], [ "Germany", "combatants", "Mexico" ], [ "Germany", "combatants", "Netherlands" ], [ "Germany", "combatants", "New_Zealand" ], [ "Germany", "contains", "Aachen" ], [ "Germany", "contains", "Munich" ], [ "Germany", "olympics", "1904_Summer_Olympics" ], [ "Germany", "olympics", "1908_Summer_Olympics" ], [ "Germany", "olympics", "1912_Summer_Olympics" ], [ "Germany", "olympics", "1928_Summer_Olympics" ], [ "Germany", "olympics", "1932_Summer_Olympics" ], [ "Germany", "olympics", "1936_Summer_Olympics" ], [ "Germany", "olympics", "1952_Summer_Olympics" ], [ "Germany", "olympics", "1964_Summer_Olympics" ], [ "Germany", "olympics", "1968_Summer_Olympics" ], [ "Germany", "olympics", "1976_Summer_Olympics" ], [ "Germany", "olympics", "1980_Summer_Olympics" ], [ "Germany", "olympics", "1988_Summer_Olympics" ], [ "Germany", "olympics", "1992_Summer_Olympics" ], [ "Germany", "olympics", "1996_Summer_Olympics" ], [ "Germany", "olympics", "2000_Summer_Olympics" ], [ "Germany", "olympics", "2004_Summer_Olympics" ], [ "Germany", "olympics", "2008_Summer_Olympics" ], [ "Germany", "olympics", "2012_Summer_Olympics" ], [ "Germany", "teams", "Germany_national_football_team" ], [ "Germany_national_football_team", "football_roster_position", "Defender" ], [ "Germany_national_football_team", "position", "Defender" ], [ "Henry_Corden", "nationality", "Canada" ], [ "Henry_Corden", "place_of_death", "Los_Angeles" ], [ "Howie_Mandel", "location", "Los_Angeles" ], [ "Howie_Mandel", "nationality", "Canada" ], [ "Iron_Man_2", "film_release_region", "Canada" ], [ "Iron_Man_2", "film_release_region", "Germany" ], [ "Iron_Man_2", "film_release_region", "Los_Angeles" ], [ "Joe_Shuster", "nationality", "Canada" ], [ "Joe_Shuster", "place_of_death", "Los_Angeles" ], [ "Kate_Hudson", "location", "Los_Angeles" ], [ "Kate_Hudson", "place_of_birth", "Los_Angeles" ], [ "Keanu_Reeves", "location", "Los_Angeles" ], [ "Keanu_Reeves", "nationality", "Canada" ], [ "L.A._Confidential", "featured_film_locations", "Los_Angeles" ], [ "L.A._Confidential", "film_release_region", "Canada" ], [ "L.A._Confidential", "film_release_region", "Germany" ], [ "Lars_Hirschfeld", "nationality", "Canada" ], [ "Lars_Hirschfeld", "nationality", "Germany" ], [ "Los_Angeles", "place", "Los_Angeles" ], [ "Los_Angeles", "teams", "Chivas_USA" ], [ "Los_Angeles", "time_zones", "Pacific_Time_Zone" ], [ "Mexico", "combatants", "Canada" ], [ "Mexico", "combatants", "Germany" ], [ "Michael_Cera", "location", "Los_Angeles" ], [ "Michael_Cera", "nationality", "Canada" ], [ "Michael_Ironside", "location", "Los_Angeles" ], [ "Michael_Ironside", "nationality", "Canada" ], [ "Moneyball", "featured_film_locations", "Los_Angeles" ], [ "Moneyball", "film_release_region", "Canada" ], [ "Moneyball", "film_release_region", "Germany" ], [ "Munich", "country", "Germany" ], [ "Munich", "featured_film_locations", "Germany" ], [ "Munich", "film_country", "Canada" ], [ "National_Security", "featured_film_locations", "Los_Angeles" ], [ "National_Security", "film_release_region", "Canada" ], [ "National_Security", "film_release_region", "Germany" ], [ "Netherlands", "adjoins", "Germany" ], [ "Netherlands", "combatants", "Canada" ], [ "Netherlands", "combatants", "Germany" ], [ "New_Moon", "film_release_region", "Canada" ], [ "New_Moon", "film_release_region", "Germany" ], [ "New_Moon", "film_release_region", "Los_Angeles" ], [ "New_Zealand", "combatants", "Canada" ], [ "New_Zealand", "combatants", "Germany" ], [ "Orduspor", "football_roster_position", "Defender" ], [ "Orduspor", "position", "Defender" ], [ "Paul_Haggis", "location", "Los_Angeles" ], [ "Paul_Haggis", "nationality", "Canada" ], [ "Poland", "adjoins", "Germany" ], [ "Poland", "combatants", "Canada" ], [ "Rachel_Bilson", "location", "Los_Angeles" ], [ "Rachel_Bilson", "place_of_birth", "Los_Angeles" ], [ "Ralph_E._Winters", "nationality", "Canada" ], [ "Ralph_E._Winters", "place_of_death", "Los_Angeles" ], [ "Raymond_Massey", "nationality", "Canada" ], [ "Raymond_Massey", "place_of_death", "Los_Angeles" ], [ "Red_State", "featured_film_locations", "Los_Angeles" ], [ "Red_State", "film_release_region", "Canada" ], [ "Red_State", "film_release_region", "Germany" ], [ "Requiem_for_a_Dream", "film_release_region", "Canada" ], [ "Requiem_for_a_Dream", "film_release_region", "Germany" ], [ "Requiem_for_a_Dream", "film_release_region", "Los_Angeles" ], [ "Robin_Thicke", "artist_origin", "Los_Angeles" ], [ "Robin_Thicke", "nationality", "Canada" ], [ "Rock_of_Ages", "featured_film_locations", "Los_Angeles" ], [ "Rock_of_Ages", "film_release_region", "Canada" ], [ "Rock_of_Ages", "film_release_region", "Germany" ], [ "Rushmore", "film_release_region", "Canada" ], [ "Rushmore", "film_release_region", "Germany" ], [ "Rushmore", "film_release_region", "Los_Angeles" ], [ "Seth_Rogen", "location", "Los_Angeles" ], [ "Seth_Rogen", "nationality", "Canada" ], [ "Seven_Pounds", "featured_film_locations", "Los_Angeles" ], [ "Seven_Pounds", "film_release_region", "Canada" ], [ "Seven_Pounds", "film_release_region", "Germany" ], [ "Sexy_Beast", "film_release_region", "Canada" ], [ "Sexy_Beast", "film_release_region", "Germany" ], [ "Sexy_Beast", "film_release_region", "Los_Angeles" ], [ "South_Africa", "combatants", "Canada" ], [ "South_Africa", "combatants", "Germany" ], [ "Super_8", "featured_film_locations", "Los_Angeles" ], [ "Super_8", "film_release_region", "Canada" ], [ "Super_8", "film_release_region", "Germany" ], [ "Taken", "featured_film_locations", "Los_Angeles" ], [ "Taken", "film_release_region", "Canada" ], [ "Taken", "film_release_region", "Germany" ], [ "Terminator_2:_Judgment_Day", "featured_film_locations", "Los_Angeles" ], [ "Terminator_2:_Judgment_Day", "film_release_region", "Canada" ], [ "Terminator_2:_Judgment_Day", "film_release_region", "Germany" ], [ "Terminator_Salvation", "featured_film_locations", "Los_Angeles" ], [ "Terminator_Salvation", "film_country", "Germany" ], [ "Terminator_Salvation", "film_release_region", "Canada" ], [ "Terminator_Salvation", "film_release_region", "Germany" ], [ "The_Artist", "featured_film_locations", "Los_Angeles" ], [ "The_Artist", "film_release_region", "Canada" ], [ "The_Artist", "film_release_region", "Germany" ], [ "The_Dark_Knight", "featured_film_locations", "Los_Angeles" ], [ "The_Dark_Knight", "film_release_region", "Canada" ], [ "The_Dark_Knight", "film_release_region", "Germany" ], [ "The_Expendables_2", "film_regional_debut_venue", "Los_Angeles" ], [ "The_Expendables_2", "film_release_region", "Canada" ], [ "The_Expendables_2", "film_release_region", "Germany" ], [ "The_Flowers_of_War", "film_release_region", "Canada" ], [ "The_Flowers_of_War", "film_release_region", "Germany" ], [ "The_Flowers_of_War", "film_release_region", "Los_Angeles" ], [ "The_Hangover", "featured_film_locations", "Los_Angeles" ], [ "The_Hangover", "film_country", "Germany" ], [ "The_Hangover", "film_release_region", "Canada" ], [ "The_Hangover", "film_release_region", "Germany" ], [ "The_Hunger_Games", "film_release_region", "Canada" ], [ "The_Hunger_Games", "film_release_region", "Germany" ], [ "The_Hunger_Games", "film_release_region", "Los_Angeles" ], [ "The_Impossible", "film_release_region", "Canada" ], [ "The_Impossible", "film_release_region", "Germany" ], [ "The_Impossible", "film_release_region", "Los_Angeles" ], [ "The_Iron_Lady", "film_release_region", "Canada" ], [ "The_Iron_Lady", "film_release_region", "Germany" ], [ "The_Iron_Lady", "film_release_region", "Los_Angeles" ], [ "Tom_Green", "location", "Los_Angeles" ], [ "Tom_Green", "nationality", "Canada" ], [ "Transformers", "featured_film_locations", "Los_Angeles" ], [ "Transformers", "film_release_region", "Canada" ], [ "Transformers", "film_release_region", "Germany" ], [ "Transformers:_Dark_of_the_Moon", "featured_film_locations", "Los_Angeles" ], [ "Transformers:_Dark_of_the_Moon", "film_release_region", "Canada" ], [ "Transformers:_Dark_of_the_Moon", "film_release_region", "Germany" ], [ "Young_Adam", "film_release_region", "Canada" ], [ "Young_Adam", "film_release_region", "Germany" ], [ "Young_Adam", "film_release_region", "Los_Angeles" ], [ "Zooey_Deschanel", "artist_origin", "Los_Angeles" ], [ "Zooey_Deschanel", "location", "Canada" ], [ "Zooey_Deschanel", "location", "Los_Angeles" ], [ "Zooey_Deschanel", "place_of_birth", "Los_Angeles" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 3014, Boston_University 10743, Brigham_Young_University 5199, California_Institute_of_Technology 1413, Chemical_Engineering 4140, Donnie_Yen 12952, Drexel_University 9178, Finance 3488, Indiana_University_Bloomington 12152, Louisiana_State_University 12955, Louisiana_Tech_University 2261, Marketing-GB 1479, Massachusetts_Institute_of_Technology 5626, Minnesota 3192, Minnesota_Wild 13248, Mississippi_State_University 12289, Mixed-sex_education 10791, Northwestern_University 3547, Pace_University 8268, Pennsylvania_State_University 2470, Rensselaer_Polytechnic_Institute 13158, United_States_Conference_of_Catholic_Bishops 13767, University_of_Dayton 9348, University_of_Detroit_Mercy 1480, University_of_Michigan 8082, University_of_Minnesota 1173, University_of_Mississippi 8689, University_of_Notre_Dame 1488, University_of_Pittsburgh 8288, University_of_Rochester 9275, Villanova_University src, edge_attr, dst 3014, major_field_of_study, 9178 3014, major_field_of_study, 2261 3014, student, 4140 10743, major_field_of_study, 1413 10743, major_field_of_study, 9178 5199, major_field_of_study, 1413 5199, school_type, 12289 12952, major_field_of_study, 1413 12952, major_field_of_study, 9178 9178, major_field_of_study, 2261 3488, major_field_of_study, 9178 3488, school_type, 12289 12152, major_field_of_study, 1413 12152, major_field_of_study, 9178 12152, school_type, 12289 12955, major_field_of_study, 9178 12955, school_type, 12289 2261, major_field_of_study, 9178 1479, major_field_of_study, 1413 1479, major_field_of_study, 9178 5626, contains, 8082 5626, teams, 3192 13248, major_field_of_study, 1413 13248, major_field_of_study, 9178 10791, major_field_of_study, 1413 10791, major_field_of_study, 9178 3547, major_field_of_study, 9178 3547, school_type, 12289 8268, major_field_of_study, 1413 8268, major_field_of_study, 9178 2470, major_field_of_study, 1413 2470, major_field_of_study, 9178 13158, child, 13767 13158, child, 9348 13158, child, 9275 13767, educational_institution, 13767 13767, major_field_of_study, 1413 13767, major_field_of_study, 9178 13767, school_type, 12289 9348, major_field_of_study, 1413 9348, major_field_of_study, 9178 9348, school_type, 12289 1480, major_field_of_study, 1413 1480, major_field_of_study, 9178 8082, major_field_of_study, 1413 8082, state_province_region, 5626 1173, major_field_of_study, 9178 1173, school_type, 12289 8689, major_field_of_study, 1413 8689, major_field_of_study, 9178 8689, school_type, 12289 1488, major_field_of_study, 1413 1488, major_field_of_study, 9178 8288, major_field_of_study, 1413 8288, major_field_of_study, 9178 9275, major_field_of_study, 1413 Question: How are Donnie_Yen, Minnesota_Wild, and University_of_Dayton related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Donnie_Yen", "Minnesota_Wild", "University_of_Dayton" ], "valid_edges": [ [ "Boston_University", "major_field_of_study", "Finance" ], [ "Boston_University", "major_field_of_study", "Marketing-GB" ], [ "Boston_University", "student", "Donnie_Yen" ], [ "Brigham_Young_University", "major_field_of_study", "Chemical_Engineering" ], [ "Brigham_Young_University", "major_field_of_study", "Finance" ], [ "California_Institute_of_Technology", "major_field_of_study", "Chemical_Engineering" ], [ "California_Institute_of_Technology", "school_type", "Mixed-sex_education" ], [ "Drexel_University", "major_field_of_study", "Chemical_Engineering" ], [ "Drexel_University", "major_field_of_study", "Finance" ], [ "Finance", "major_field_of_study", "Marketing-GB" ], [ "Indiana_University_Bloomington", "major_field_of_study", "Finance" ], [ "Indiana_University_Bloomington", "school_type", "Mixed-sex_education" ], [ "Louisiana_State_University", "major_field_of_study", "Chemical_Engineering" ], [ "Louisiana_State_University", "major_field_of_study", "Finance" ], [ "Louisiana_State_University", "school_type", "Mixed-sex_education" ], [ "Louisiana_Tech_University", "major_field_of_study", "Finance" ], [ "Louisiana_Tech_University", "school_type", "Mixed-sex_education" ], [ "Marketing-GB", "major_field_of_study", "Finance" ], [ "Massachusetts_Institute_of_Technology", "major_field_of_study", "Chemical_Engineering" ], [ "Massachusetts_Institute_of_Technology", "major_field_of_study", "Finance" ], [ "Minnesota", "contains", "University_of_Minnesota" ], [ "Minnesota", "teams", "Minnesota_Wild" ], [ "Mississippi_State_University", "major_field_of_study", "Chemical_Engineering" ], [ "Mississippi_State_University", "major_field_of_study", "Finance" ], [ "Northwestern_University", "major_field_of_study", "Chemical_Engineering" ], [ "Northwestern_University", "major_field_of_study", "Finance" ], [ "Pace_University", "major_field_of_study", "Finance" ], [ "Pace_University", "school_type", "Mixed-sex_education" ], [ "Pennsylvania_State_University", "major_field_of_study", "Chemical_Engineering" ], [ "Pennsylvania_State_University", "major_field_of_study", "Finance" ], [ "Rensselaer_Polytechnic_Institute", "major_field_of_study", "Chemical_Engineering" ], [ "Rensselaer_Polytechnic_Institute", "major_field_of_study", "Finance" ], [ "United_States_Conference_of_Catholic_Bishops", "child", "University_of_Dayton" ], [ "United_States_Conference_of_Catholic_Bishops", "child", "University_of_Detroit_Mercy" ], [ "United_States_Conference_of_Catholic_Bishops", "child", "Villanova_University" ], [ "University_of_Dayton", "educational_institution", "University_of_Dayton" ], [ "University_of_Dayton", "major_field_of_study", "Chemical_Engineering" ], [ "University_of_Dayton", "major_field_of_study", "Finance" ], [ "University_of_Dayton", "school_type", "Mixed-sex_education" ], [ "University_of_Detroit_Mercy", "major_field_of_study", "Chemical_Engineering" ], [ "University_of_Detroit_Mercy", "major_field_of_study", "Finance" ], [ "University_of_Detroit_Mercy", "school_type", "Mixed-sex_education" ], [ "University_of_Michigan", "major_field_of_study", "Chemical_Engineering" ], [ "University_of_Michigan", "major_field_of_study", "Finance" ], [ "University_of_Minnesota", "major_field_of_study", "Chemical_Engineering" ], [ "University_of_Minnesota", "state_province_region", "Minnesota" ], [ "University_of_Mississippi", "major_field_of_study", "Finance" ], [ "University_of_Mississippi", "school_type", "Mixed-sex_education" ], [ "University_of_Notre_Dame", "major_field_of_study", "Chemical_Engineering" ], [ "University_of_Notre_Dame", "major_field_of_study", "Finance" ], [ "University_of_Notre_Dame", "school_type", "Mixed-sex_education" ], [ "University_of_Pittsburgh", "major_field_of_study", "Chemical_Engineering" ], [ "University_of_Pittsburgh", "major_field_of_study", "Finance" ], [ "University_of_Rochester", "major_field_of_study", "Chemical_Engineering" ], [ "University_of_Rochester", "major_field_of_study", "Finance" ], [ "Villanova_University", "major_field_of_study", "Chemical_Engineering" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 2764, Advertising 8356, Attorney_general 11478, Baptists 4041, Churches_of_Christ 9231, Colorado 8527, Contiguous_United_States 7229, Drake_University 4339, Equus 2218, Evangelicalism 3992, Garth_Brooks 7841, Idaho 10649, Kansas 12982, Lutheranism 2261, Marketing-GB 7662, Methodism 4349, Michigan_State_University 7167, Mormonism 1109, Nebraska 1889, New_Mexico 13057, Nondenominational_Christianity 10522, Oklahoma 9830, Pentecostalism 5986, Presbyterianism 2244, Protestantism 2955, Richard_Burton 8889, Secretary_of_state 4596, Seventh-day_Adventist_Church 6353, Syracuse_University 1258, United_Church_of_Christ 11425, University_of_Colorado_Boulder 10063, University_of_Denver 13226, Wyoming src, edge_attr, dst 2764, major_field_of_study, 2261 2764, student, 3992 8356, jurisdiction_of_office, 9231 8356, jurisdiction_of_office, 7841 8356, jurisdiction_of_office, 1109 8356, jurisdiction_of_office, 10522 9231, adjoins, 10649 9231, adjoins, 1109 9231, adjoins, 1889 9231, adjoins, 13226 9231, contains, 11425 9231, religion, 11478 9231, religion, 4041 9231, religion, 2218 9231, religion, 12982 9231, religion, 7662 9231, religion, 7167 9231, religion, 13057 9231, religion, 9830 9231, religion, 5986 9231, religion, 2244 9231, religion, 4596 8527, contains, 9231 8527, contains, 7841 8527, contains, 1109 8527, contains, 10522 7229, campuses, 7229 7229, educational_institution, 7229 7229, major_field_of_study, 2764 7229, major_field_of_study, 2261 4339, award_winner, 2955 3992, location, 10522 7841, adjoins, 13226 7841, religion, 11478 7841, religion, 4041 7841, religion, 2218 7841, religion, 12982 7841, religion, 7662 7841, religion, 7167 7841, religion, 13057 7841, religion, 9830 7841, religion, 5986 7841, religion, 2244 7841, religion, 4596 7841, religion, 1258 10649, adjoins, 1109 10649, adjoins, 10522 2261, major_field_of_study, 2764 2261, split_to, 2261 4349, major_field_of_study, 2764 4349, major_field_of_study, 2261 1109, adjoins, 9231 1109, adjoins, 13226 1109, religion, 11478 1109, religion, 4041 1109, religion, 2218 1109, religion, 12982 1109, religion, 7662 1109, religion, 7167 1109, religion, 9830 1109, religion, 5986 1109, religion, 2244 1109, religion, 1258 1889, adjoins, 10522 10522, adjoins, 9231 10522, adjoins, 10649 10522, adjoins, 1889 10522, religion, 11478 10522, religion, 4041 10522, religion, 2218 10522, religion, 12982 10522, religion, 7662 10522, religion, 13057 10522, religion, 9830 10522, religion, 5986 10522, religion, 2244 2955, acted_in, 4339 2955, nominated_for, 4339 2955, religion, 5986 8889, jurisdiction_of_office, 9231 8889, jurisdiction_of_office, 7841 8889, jurisdiction_of_office, 1109 8889, jurisdiction_of_office, 10522 6353, major_field_of_study, 2764 6353, major_field_of_study, 2261 11425, major_field_of_study, 2261 11425, state_province_region, 9231 10063, major_field_of_study, 2261 10063, state_province_region, 9231 13226, adjoins, 9231 13226, adjoins, 7841 13226, adjoins, 1109 Question: How are Drake_University, Equus, and Evangelicalism related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Drake_University", "Equus", "Evangelicalism" ], "valid_edges": [ [ "Advertising", "major_field_of_study", "Marketing-GB" ], [ "Advertising", "student", "Garth_Brooks" ], [ "Attorney_general", "jurisdiction_of_office", "Colorado" ], [ "Attorney_general", "jurisdiction_of_office", "Idaho" ], [ "Attorney_general", "jurisdiction_of_office", "Nebraska" ], [ "Attorney_general", "jurisdiction_of_office", "Oklahoma" ], [ "Colorado", "adjoins", "Kansas" ], [ "Colorado", "adjoins", "Nebraska" ], [ "Colorado", "adjoins", "New_Mexico" ], [ "Colorado", "adjoins", "Wyoming" ], [ "Colorado", "contains", "University_of_Colorado_Boulder" ], [ "Colorado", "religion", "Baptists" ], [ "Colorado", "religion", "Churches_of_Christ" ], [ "Colorado", "religion", "Evangelicalism" ], [ "Colorado", "religion", "Lutheranism" ], [ "Colorado", "religion", "Methodism" ], [ "Colorado", "religion", "Mormonism" ], [ "Colorado", "religion", "Nondenominational_Christianity" ], [ "Colorado", "religion", "Pentecostalism" ], [ "Colorado", "religion", "Presbyterianism" ], [ "Colorado", "religion", "Protestantism" ], [ "Colorado", "religion", "Seventh-day_Adventist_Church" ], [ "Contiguous_United_States", "contains", "Colorado" ], [ "Contiguous_United_States", "contains", "Idaho" ], [ "Contiguous_United_States", "contains", "Nebraska" ], [ "Contiguous_United_States", "contains", "Oklahoma" ], [ "Drake_University", "campuses", "Drake_University" ], [ "Drake_University", "educational_institution", "Drake_University" ], [ "Drake_University", "major_field_of_study", "Advertising" ], [ "Drake_University", "major_field_of_study", "Marketing-GB" ], [ "Equus", "award_winner", "Richard_Burton" ], [ "Garth_Brooks", "location", "Oklahoma" ], [ "Idaho", "adjoins", "Wyoming" ], [ "Idaho", "religion", "Baptists" ], [ "Idaho", "religion", "Churches_of_Christ" ], [ "Idaho", "religion", "Evangelicalism" ], [ "Idaho", "religion", "Lutheranism" ], [ "Idaho", "religion", "Methodism" ], [ "Idaho", "religion", "Mormonism" ], [ "Idaho", "religion", "Nondenominational_Christianity" ], [ "Idaho", "religion", "Pentecostalism" ], [ "Idaho", "religion", "Presbyterianism" ], [ "Idaho", "religion", "Protestantism" ], [ "Idaho", "religion", "Seventh-day_Adventist_Church" ], [ "Idaho", "religion", "United_Church_of_Christ" ], [ "Kansas", "adjoins", "Nebraska" ], [ "Kansas", "adjoins", "Oklahoma" ], [ "Marketing-GB", "major_field_of_study", "Advertising" ], [ "Marketing-GB", "split_to", "Marketing-GB" ], [ "Michigan_State_University", "major_field_of_study", "Advertising" ], [ "Michigan_State_University", "major_field_of_study", "Marketing-GB" ], [ "Nebraska", "adjoins", "Colorado" ], [ "Nebraska", "adjoins", "Wyoming" ], [ "Nebraska", "religion", "Baptists" ], [ "Nebraska", "religion", "Churches_of_Christ" ], [ "Nebraska", "religion", "Evangelicalism" ], [ "Nebraska", "religion", "Lutheranism" ], [ "Nebraska", "religion", "Methodism" ], [ "Nebraska", "religion", "Mormonism" ], [ "Nebraska", "religion", "Pentecostalism" ], [ "Nebraska", "religion", "Presbyterianism" ], [ "Nebraska", "religion", "Protestantism" ], [ "Nebraska", "religion", "United_Church_of_Christ" ], [ "New_Mexico", "adjoins", "Oklahoma" ], [ "Oklahoma", "adjoins", "Colorado" ], [ "Oklahoma", "adjoins", "Kansas" ], [ "Oklahoma", "adjoins", "New_Mexico" ], [ "Oklahoma", "religion", "Baptists" ], [ "Oklahoma", "religion", "Churches_of_Christ" ], [ "Oklahoma", "religion", "Evangelicalism" ], [ "Oklahoma", "religion", "Lutheranism" ], [ "Oklahoma", "religion", "Methodism" ], [ "Oklahoma", "religion", "Nondenominational_Christianity" ], [ "Oklahoma", "religion", "Pentecostalism" ], [ "Oklahoma", "religion", "Presbyterianism" ], [ "Oklahoma", "religion", "Protestantism" ], [ "Richard_Burton", "acted_in", "Equus" ], [ "Richard_Burton", "nominated_for", "Equus" ], [ "Richard_Burton", "religion", "Presbyterianism" ], [ "Secretary_of_state", "jurisdiction_of_office", "Colorado" ], [ "Secretary_of_state", "jurisdiction_of_office", "Idaho" ], [ "Secretary_of_state", "jurisdiction_of_office", "Nebraska" ], [ "Secretary_of_state", "jurisdiction_of_office", "Oklahoma" ], [ "Syracuse_University", "major_field_of_study", "Advertising" ], [ "Syracuse_University", "major_field_of_study", "Marketing-GB" ], [ "University_of_Colorado_Boulder", "major_field_of_study", "Marketing-GB" ], [ "University_of_Colorado_Boulder", "state_province_region", "Colorado" ], [ "University_of_Denver", "major_field_of_study", "Marketing-GB" ], [ "University_of_Denver", "state_province_region", "Colorado" ], [ "Wyoming", "adjoins", "Colorado" ], [ "Wyoming", "adjoins", "Idaho" ], [ "Wyoming", "adjoins", "Nebraska" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 2764, Advertising 825, Alabama 9737, Amy_Winehouse 769, Ashton_Kutcher 12980, Auburn 10427, Auburn_Tigers_football 11478, Baptists 873, Britney_Spears 2195, Brittany_Murphy 13709, Businessperson-GB 14086, Caribbean 3303, Catholicism 5379, Christianity 8451, Costa_Rica 4172, Fred_Durst 9795, George_H._W._Bush 9846, Georgia 12814, Harry_S._Truman 4415, Hayden_Panettiere 3750, Herbert_Hoover 13986, James_K._Polk 11606, Jared_Leto 6048, Judaism-GB 238, Justin_Timberlake 4405, Kim_Kardashian 614, Library_of_Congress_Classification 2393, Lindsay_Lohan 2315, Michael_Jackson 5658, Mississippi 13898, Natural_history 3448, New_York 13057, Nondenominational_Christianity 10075, North_Carolina 8099, Paris_Hilton 12795, Pop_music 2244, Protestantism 3248, Razzie_Award_for_Worst_Actress 7431, Razzie_Award_for_Worst_Screen_Couple/Ensemble 4711, Razzie_Award_for_Worst_Supporting_Actress 11972, Songwriter-GB 11782, South_Carolina 2446, Tennessee 1492, Val_Kilmer 9885, Virginia 10401, Warren_G._Harding src, edge_attr, dst 2764, specialization_of, 13709 2764, taxonomy, 614 825, contains, 12980 825, taxonomy, 614 9737, participant, 873 9737, profession, 11972 769, award_nominee, 2195 769, participant, 2195 769, participant, 8099 12980, place, 12980 12980, teams, 10427 873, award, 3248 873, award, 7431 873, award, 4711 873, celebrity, 4172 873, influenced_by, 2315 873, location, 5658 873, participant, 9737 873, participant, 4172 873, participant, 4415 873, participant, 11606 873, participant, 238 873, participant, 8099 873, participant, 1492 873, profession, 11972 2195, award, 7431 2195, award, 4711 2195, award_nominee, 769 2195, participant, 769 2195, participant, 4172 2195, religion, 11478 2195, religion, 13057 14086, taxonomy, 614 14086, vacationer, 873 5379, taxonomy, 614 8451, taxonomy, 614 8451, vacationer, 873 4172, celebrity, 873 4172, location, 10075 4172, participant, 873 4172, participant, 2195 4172, participant, 8099 4172, profession, 13709 4172, profession, 11972 9795, profession, 13709 9795, taxonomy, 614 9846, taxonomy, 614 12814, profession, 13709 12814, taxonomy, 614 4415, participant, 873 4415, participant, 8099 3750, profession, 13709 3750, taxonomy, 614 13986, location, 10075 13986, taxonomy, 614 11606, participant, 873 11606, participant, 8099 11606, profession, 13709 11606, profession, 11972 6048, taxonomy, 614 238, celebrity, 873 238, participant, 873 238, profession, 13709 4405, friend, 8099 4405, participant, 8099 4405, profession, 13709 2393, friend, 8099 2393, participant, 873 2393, participant, 8099 2315, profession, 13709 2315, profession, 11972 5658, taxonomy, 614 13898, taxonomy, 614 3448, contains, 12980 3448, taxonomy, 614 10075, adjoins, 9846 10075, adjoins, 9885 10075, religion, 11478 10075, religion, 3303 10075, religion, 5379 10075, religion, 6048 10075, religion, 13057 10075, religion, 2244 10075, taxonomy, 614 8099, friend, 4405 8099, friend, 2393 8099, participant, 873 8099, participant, 4172 8099, participant, 4415 8099, participant, 11606 8099, participant, 4405 8099, participant, 2393 8099, participant, 1492 8099, profession, 13709 8099, religion, 3303 12795, artists, 873 12795, artists, 8099 2244, taxonomy, 614 3248, award_winner, 873 3248, award_winner, 8099 7431, award_winner, 8099 4711, award_winner, 873 4711, award_winner, 8099 11782, adjoins, 10075 11782, taxonomy, 614 2446, adjoins, 10075 2446, taxonomy, 614 1492, participant, 8099 9885, adjoins, 10075 9885, taxonomy, 614 10401, profession, 13709 10401, taxonomy, 614 Question: How are Auburn_Tigers_football, Fred_Durst, and Natural_history related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Auburn_Tigers_football", "Fred_Durst", "Natural_history" ], "valid_edges": [ [ "Advertising", "specialization_of", "Businessperson-GB" ], [ "Advertising", "taxonomy", "Library_of_Congress_Classification" ], [ "Alabama", "contains", "Auburn" ], [ "Alabama", "taxonomy", "Library_of_Congress_Classification" ], [ "Amy_Winehouse", "participant", "Britney_Spears" ], [ "Amy_Winehouse", "profession", "Songwriter-GB" ], [ "Ashton_Kutcher", "award_nominee", "Brittany_Murphy" ], [ "Ashton_Kutcher", "participant", "Brittany_Murphy" ], [ "Ashton_Kutcher", "participant", "Paris_Hilton" ], [ "Auburn", "place", "Auburn" ], [ "Auburn", "teams", "Auburn_Tigers_football" ], [ "Britney_Spears", "award", "Razzie_Award_for_Worst_Actress" ], [ "Britney_Spears", "award", "Razzie_Award_for_Worst_Screen_Couple/Ensemble" ], [ "Britney_Spears", "award", "Razzie_Award_for_Worst_Supporting_Actress" ], [ "Britney_Spears", "celebrity", "Fred_Durst" ], [ "Britney_Spears", "influenced_by", "Michael_Jackson" ], [ "Britney_Spears", "location", "Mississippi" ], [ "Britney_Spears", "participant", "Amy_Winehouse" ], [ "Britney_Spears", "participant", "Fred_Durst" ], [ "Britney_Spears", "participant", "Hayden_Panettiere" ], [ "Britney_Spears", "participant", "Jared_Leto" ], [ "Britney_Spears", "participant", "Justin_Timberlake" ], [ "Britney_Spears", "participant", "Paris_Hilton" ], [ "Britney_Spears", "participant", "Val_Kilmer" ], [ "Britney_Spears", "profession", "Songwriter-GB" ], [ "Brittany_Murphy", "award", "Razzie_Award_for_Worst_Screen_Couple/Ensemble" ], [ "Brittany_Murphy", "award", "Razzie_Award_for_Worst_Supporting_Actress" ], [ "Brittany_Murphy", "award_nominee", "Ashton_Kutcher" ], [ "Brittany_Murphy", "participant", "Ashton_Kutcher" ], [ "Brittany_Murphy", "participant", "Fred_Durst" ], [ "Brittany_Murphy", "religion", "Baptists" ], [ "Brittany_Murphy", "religion", "Nondenominational_Christianity" ], [ "Caribbean", "taxonomy", "Library_of_Congress_Classification" ], [ "Caribbean", "vacationer", "Britney_Spears" ], [ "Christianity", "taxonomy", "Library_of_Congress_Classification" ], [ "Costa_Rica", "taxonomy", "Library_of_Congress_Classification" ], [ "Costa_Rica", "vacationer", "Britney_Spears" ], [ "Fred_Durst", "celebrity", "Britney_Spears" ], [ "Fred_Durst", "location", "North_Carolina" ], [ "Fred_Durst", "participant", "Britney_Spears" ], [ "Fred_Durst", "participant", "Brittany_Murphy" ], [ "Fred_Durst", "participant", "Paris_Hilton" ], [ "Fred_Durst", "profession", "Businessperson-GB" ], [ "Fred_Durst", "profession", "Songwriter-GB" ], [ "George_H._W._Bush", "profession", "Businessperson-GB" ], [ "George_H._W._Bush", "taxonomy", "Library_of_Congress_Classification" ], [ "Georgia", "taxonomy", "Library_of_Congress_Classification" ], [ "Harry_S._Truman", "profession", "Businessperson-GB" ], [ "Harry_S._Truman", "taxonomy", "Library_of_Congress_Classification" ], [ "Hayden_Panettiere", "participant", "Britney_Spears" ], [ "Hayden_Panettiere", "participant", "Paris_Hilton" ], [ "Herbert_Hoover", "profession", "Businessperson-GB" ], [ "Herbert_Hoover", "taxonomy", "Library_of_Congress_Classification" ], [ "James_K._Polk", "location", "North_Carolina" ], [ "James_K._Polk", "taxonomy", "Library_of_Congress_Classification" ], [ "Jared_Leto", "participant", "Britney_Spears" ], [ "Jared_Leto", "participant", "Paris_Hilton" ], [ "Jared_Leto", "profession", "Businessperson-GB" ], [ "Jared_Leto", "profession", "Songwriter-GB" ], [ "Judaism-GB", "taxonomy", "Library_of_Congress_Classification" ], [ "Justin_Timberlake", "celebrity", "Britney_Spears" ], [ "Justin_Timberlake", "participant", "Britney_Spears" ], [ "Justin_Timberlake", "profession", "Businessperson-GB" ], [ "Kim_Kardashian", "friend", "Paris_Hilton" ], [ "Kim_Kardashian", "participant", "Paris_Hilton" ], [ "Kim_Kardashian", "profession", "Businessperson-GB" ], [ "Lindsay_Lohan", "friend", "Paris_Hilton" ], [ "Lindsay_Lohan", "participant", "Britney_Spears" ], [ "Lindsay_Lohan", "participant", "Paris_Hilton" ], [ "Michael_Jackson", "profession", "Businessperson-GB" ], [ "Michael_Jackson", "profession", "Songwriter-GB" ], [ "Mississippi", "taxonomy", "Library_of_Congress_Classification" ], [ "Natural_history", "taxonomy", "Library_of_Congress_Classification" ], [ "New_York", "contains", "Auburn" ], [ "New_York", "taxonomy", "Library_of_Congress_Classification" ], [ "North_Carolina", "adjoins", "Georgia" ], [ "North_Carolina", "adjoins", "Virginia" ], [ "North_Carolina", "religion", "Baptists" ], [ "North_Carolina", "religion", "Catholicism" ], [ "North_Carolina", "religion", "Christianity" ], [ "North_Carolina", "religion", "Judaism-GB" ], [ "North_Carolina", "religion", "Nondenominational_Christianity" ], [ "North_Carolina", "religion", "Protestantism" ], [ "North_Carolina", "taxonomy", "Library_of_Congress_Classification" ], [ "Paris_Hilton", "friend", "Kim_Kardashian" ], [ "Paris_Hilton", "friend", "Lindsay_Lohan" ], [ "Paris_Hilton", "participant", "Britney_Spears" ], [ "Paris_Hilton", "participant", "Fred_Durst" ], [ "Paris_Hilton", "participant", "Hayden_Panettiere" ], [ "Paris_Hilton", "participant", "Jared_Leto" ], [ "Paris_Hilton", "participant", "Kim_Kardashian" ], [ "Paris_Hilton", "participant", "Lindsay_Lohan" ], [ "Paris_Hilton", "participant", "Val_Kilmer" ], [ "Paris_Hilton", "profession", "Businessperson-GB" ], [ "Paris_Hilton", "religion", "Catholicism" ], [ "Pop_music", "artists", "Britney_Spears" ], [ "Pop_music", "artists", "Paris_Hilton" ], [ "Protestantism", "taxonomy", "Library_of_Congress_Classification" ], [ "Razzie_Award_for_Worst_Actress", "award_winner", "Britney_Spears" ], [ "Razzie_Award_for_Worst_Actress", "award_winner", "Paris_Hilton" ], [ "Razzie_Award_for_Worst_Screen_Couple/Ensemble", "award_winner", "Paris_Hilton" ], [ "Razzie_Award_for_Worst_Supporting_Actress", "award_winner", "Britney_Spears" ], [ "Razzie_Award_for_Worst_Supporting_Actress", "award_winner", "Paris_Hilton" ], [ "South_Carolina", "adjoins", "North_Carolina" ], [ "South_Carolina", "taxonomy", "Library_of_Congress_Classification" ], [ "Tennessee", "adjoins", "North_Carolina" ], [ "Tennessee", "taxonomy", "Library_of_Congress_Classification" ], [ "Val_Kilmer", "participant", "Paris_Hilton" ], [ "Virginia", "adjoins", "North_Carolina" ], [ "Virginia", "taxonomy", "Library_of_Congress_Classification" ], [ "Warren_G._Harding", "profession", "Businessperson-GB" ], [ "Warren_G._Harding", "taxonomy", "Library_of_Congress_Classification" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 4929, Adam_Smith 7149, Al_Franken 12115, Billy_Connolly 4439, Bridget_Jones's_Diary 10359, Charles_Darwin 2028, Commentator 2784, Craig_Armstrong 2552, David_Hume 11168, Dennis_Miller 9393, Douglas_Haig,_1st_Earl_Haig 9214, Edinburgh 10197, Garage_punk 2947, Garage_rock 3095, Gordon_Brown 12347, Iraq_War 6989, John_Barrowman 12787, Jon_Lovitz 7097, Labour_Party 6728, Member_of_Parliament-GB 10501, Patrick_Doyle 13154, Paul_Reubens 674, Robbie_Coltrane 2515, Robert_Carlyle 546, Saturday_Night_Live 5929, Scotland 13866, Scottish_people 12987, Sheena_Easton 13378, Shirley_Henderson 5893, The_Producers 3455, The_Royal_Conservatoire_of_Scotland 11904, The_White_Stripes 9736, Tony_Blair 12764, Universal_Records 1877, University_of_Edinburgh 5269, Walter_Scott src, edge_attr, dst 4929, company, 1877 4929, influenced_by, 2552 4929, nationality, 5929 4929, peers, 2552 4929, place_of_death, 9214 7149, award_winner, 13154 7149, nominated_for, 546 7149, profession, 2028 7149, program, 546 7149, tv_program, 546 12115, nationality, 5929 4439, film_music, 10501 10359, influenced_by, 4929 2784, nationality, 5929 2552, location, 9214 2552, place_of_birth, 9214 2552, place_of_death, 9214 11168, profession, 2028 11168, tv_program, 546 9393, location, 9214 9393, nationality, 5929 9393, place_of_birth, 9214 9214, administrative_parent, 5929 9214, contains, 1877 9214, country, 5929 9214, first_level_division, 5929 10197, artists, 11904 10197, parent_genre, 2947 2947, artists, 11904 3095, basic_title, 6728 3095, nationality, 5929 12347, entity_involved, 3095 12347, entity_involved, 9736 6989, acted_in, 5893 6989, nationality, 5929 12787, acted_in, 5893 12787, nominated_for, 546 12787, tv_program, 546 7097, party_politician, 3095 7097, party_politician, 9736 6728, jurisdiction_of_office, 5929 10501, nationality, 5929 13154, award_nominee, 13378 13154, award_winner, 7149 674, nationality, 5929 2515, nationality, 5929 546, award_winner, 7149 546, titles, 546 5929, capital, 9214 13866, people, 4929 13866, people, 12115 13866, people, 2784 13866, people, 11168 13866, people, 9393 13866, people, 3095 13866, people, 10501 13866, people, 674 13866, people, 2515 13866, people, 13378 13866, people, 9736 13866, people, 5269 12987, location_of_ceremony, 5929 13378, acted_in, 4439 13378, award_nominee, 13154 13378, nationality, 5929 3455, student, 10501 3455, student, 2515 3455, student, 12987 9736, basic_title, 6728 9736, location, 9214 9736, nationality, 5929 9736, place_of_birth, 9214 12764, artist, 12987 12764, artist, 11904 1877, campuses, 1877 1877, citytown, 9214 1877, state_province_region, 5929 1877, student, 4929 1877, student, 10359 1877, student, 2552 1877, student, 3095 1877, student, 674 1877, student, 5269 5269, location, 9214 5269, nationality, 5929 5269, place_of_birth, 9214 Question: How are Garage_punk, Saturday_Night_Live, and Scotland related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Garage_punk", "Saturday_Night_Live", "Scotland" ], "valid_edges": [ [ "Adam_Smith", "company", "University_of_Edinburgh" ], [ "Adam_Smith", "influenced_by", "David_Hume" ], [ "Adam_Smith", "nationality", "Scotland" ], [ "Adam_Smith", "peers", "David_Hume" ], [ "Adam_Smith", "place_of_death", "Edinburgh" ], [ "Al_Franken", "award_winner", "Paul_Reubens" ], [ "Al_Franken", "nominated_for", "Saturday_Night_Live" ], [ "Al_Franken", "profession", "Commentator" ], [ "Al_Franken", "program", "Saturday_Night_Live" ], [ "Al_Franken", "tv_program", "Saturday_Night_Live" ], [ "Billy_Connolly", "nationality", "Scotland" ], [ "Bridget_Jones's_Diary", "film_music", "Patrick_Doyle" ], [ "Charles_Darwin", "influenced_by", "Adam_Smith" ], [ "Craig_Armstrong", "nationality", "Scotland" ], [ "David_Hume", "location", "Edinburgh" ], [ "David_Hume", "place_of_birth", "Edinburgh" ], [ "David_Hume", "place_of_death", "Edinburgh" ], [ "Dennis_Miller", "profession", "Commentator" ], [ "Dennis_Miller", "tv_program", "Saturday_Night_Live" ], [ "Douglas_Haig,_1st_Earl_Haig", "location", "Edinburgh" ], [ "Douglas_Haig,_1st_Earl_Haig", "nationality", "Scotland" ], [ "Douglas_Haig,_1st_Earl_Haig", "place_of_birth", "Edinburgh" ], [ "Edinburgh", "administrative_parent", "Scotland" ], [ "Edinburgh", "contains", "University_of_Edinburgh" ], [ "Edinburgh", "country", "Scotland" ], [ "Edinburgh", "first_level_division", "Scotland" ], [ "Garage_punk", "artists", "The_White_Stripes" ], [ "Garage_punk", "parent_genre", "Garage_rock" ], [ "Garage_rock", "artists", "The_White_Stripes" ], [ "Gordon_Brown", "basic_title", "Member_of_Parliament-GB" ], [ "Gordon_Brown", "nationality", "Scotland" ], [ "Iraq_War", "entity_involved", "Gordon_Brown" ], [ "Iraq_War", "entity_involved", "Tony_Blair" ], [ "John_Barrowman", "acted_in", "The_Producers" ], [ "John_Barrowman", "nationality", "Scotland" ], [ "Jon_Lovitz", "acted_in", "The_Producers" ], [ "Jon_Lovitz", "nominated_for", "Saturday_Night_Live" ], [ "Jon_Lovitz", "tv_program", "Saturday_Night_Live" ], [ "Labour_Party", "party_politician", "Gordon_Brown" ], [ "Labour_Party", "party_politician", "Tony_Blair" ], [ "Member_of_Parliament-GB", "jurisdiction_of_office", "Scotland" ], [ "Patrick_Doyle", "nationality", "Scotland" ], [ "Paul_Reubens", "award_nominee", "Shirley_Henderson" ], [ "Paul_Reubens", "award_winner", "Al_Franken" ], [ "Robbie_Coltrane", "nationality", "Scotland" ], [ "Robert_Carlyle", "nationality", "Scotland" ], [ "Saturday_Night_Live", "award_winner", "Al_Franken" ], [ "Saturday_Night_Live", "titles", "Saturday_Night_Live" ], [ "Scotland", "capital", "Edinburgh" ], [ "Scottish_people", "people", "Adam_Smith" ], [ "Scottish_people", "people", "Billy_Connolly" ], [ "Scottish_people", "people", "Craig_Armstrong" ], [ "Scottish_people", "people", "Dennis_Miller" ], [ "Scottish_people", "people", "Douglas_Haig,_1st_Earl_Haig" ], [ "Scottish_people", "people", "Gordon_Brown" ], [ "Scottish_people", "people", "Patrick_Doyle" ], [ "Scottish_people", "people", "Robbie_Coltrane" ], [ "Scottish_people", "people", "Robert_Carlyle" ], [ "Scottish_people", "people", "Shirley_Henderson" ], [ "Scottish_people", "people", "Tony_Blair" ], [ "Scottish_people", "people", "Walter_Scott" ], [ "Sheena_Easton", "location_of_ceremony", "Scotland" ], [ "Shirley_Henderson", "acted_in", "Bridget_Jones's_Diary" ], [ "Shirley_Henderson", "award_nominee", "Paul_Reubens" ], [ "Shirley_Henderson", "nationality", "Scotland" ], [ "The_Royal_Conservatoire_of_Scotland", "student", "Patrick_Doyle" ], [ "The_Royal_Conservatoire_of_Scotland", "student", "Robert_Carlyle" ], [ "The_Royal_Conservatoire_of_Scotland", "student", "Sheena_Easton" ], [ "Tony_Blair", "basic_title", "Member_of_Parliament-GB" ], [ "Tony_Blair", "location", "Edinburgh" ], [ "Tony_Blair", "nationality", "Scotland" ], [ "Tony_Blair", "place_of_birth", "Edinburgh" ], [ "Universal_Records", "artist", "Sheena_Easton" ], [ "Universal_Records", "artist", "The_White_Stripes" ], [ "University_of_Edinburgh", "campuses", "University_of_Edinburgh" ], [ "University_of_Edinburgh", "citytown", "Edinburgh" ], [ "University_of_Edinburgh", "state_province_region", "Scotland" ], [ "University_of_Edinburgh", "student", "Adam_Smith" ], [ "University_of_Edinburgh", "student", "Charles_Darwin" ], [ "University_of_Edinburgh", "student", "David_Hume" ], [ "University_of_Edinburgh", "student", "Gordon_Brown" ], [ "University_of_Edinburgh", "student", "Robbie_Coltrane" ], [ "University_of_Edinburgh", "student", "Walter_Scott" ], [ "Walter_Scott", "location", "Edinburgh" ], [ "Walter_Scott", "nationality", "Scotland" ], [ "Walter_Scott", "place_of_birth", "Edinburgh" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 13616, 26th_Academy_Awards 7354, 29th_Academy_Awards 14079, 32nd_Academy_Awards 1860, Adventureland 7585, Alfred_Molina 484, All_About_Eve 4691, Angelina_Jolie 3079, Austin_Powers:_Goldmember 14149, Austin_Powers:_International_Man_of_Mystery 8890, Ben_Stiller 4977, Bend_It_Like_Beckham 3501, Bryce_Dallas_Howard 8696, Cameo_appearance 5271, Charlie's_Angels:_Full_Throttle 9953, Coming_of_age 9866, Crossroads 6265, Cruel_Intentions 2150, Danny_DeVito 8358, Daredevil 11883, Dead_Poets_Society 6299, Donnie_Darko 675, Ferris_Bueller's_Day_Off 8498, Franz_Waxman 3533, Ghost_World 13646, James_Franco 4790, Jerry_Wald 1734, John_DeCuir 11439, John_Krasinski 4406, John_Travolta 1101, Johnny_Depp 11330, Joseph_C._Wright 6396, Joseph_Kish 2685, Juno 8909, Knocked_Up 5240, Lana_Turner 8460, Lords_of_Dogtown 6856, Love_Is_a_Many-Splendored_Thing 9860, Lyle_R._Wheeler 8970, MTV_Movie_Award_for_Best_Villain 5670, Mark_Robson 1706, Mean_Girls 1436, Myocardial_infarction 11627, Neil_Patrick_Harris 451, Nick_and_Norah's_Infinite_Playlist 8798, Nicolas_Cage 9528, Orange_County 3774, Paul_S._Fox 12218, Peyton_Place 5184, Planet_of_the_Apes 6826, Rachel_McAdams 2049, Rebecca 11121, Robert_Evans 5984, Rockstar_Games 5929, Scotland 11127, South_Pacific 9991, Spider-Man 8298, Spider-Man_2 1134, Spider-Man_3 13179, Stand_by_Me 7683, Superbad 13606, Teen_film 12627, The_Avengers 9256, The_Dark_Knight 5833, The_Dark_Knight_Rises 6824, The_Diary_of_Anne_Frank 12444, The_Green_Hornet 13434, The_Hangover 6686, The_History_Boys 2109, The_Holiday 8936, The_King_and_I 9975, The_Last_Song 6550, The_Muppets 1743, The_Robe 13283, The_Texas_Chainsaw_Massacre 3088, The_Virgin_Suicides 4558, Thirteen 5231, Thomas_Little 6007, Tom_Cruise 7660, Topher_Grace 9848, Walter_M._Scott src, edge_attr, dst 13616, award_winner, 9860 13616, award_winner, 9848 7354, award_winner, 9860 7354, award_winner, 9848 14079, award_winner, 9860 14079, award_winner, 9848 1860, genre, 9953 1860, genre, 13606 7585, acted_in, 8298 7585, award, 8970 7585, nominated_for, 8298 484, film_art_direction_by, 9860 4691, award, 8970 4691, special_performance_type, 8696 14149, award_honor_award, 8970 8890, award, 8970 8890, special_performance_type, 8696 4977, genre, 9953 4977, genre, 13606 3501, acted_in, 1134 3501, award, 8970 8696, film, 3079 8696, film, 14149 8696, film, 5271 8696, film, 8358 8696, film, 8909 8696, film, 9528 8696, film, 5184 8696, film, 9991 8696, film, 1134 8696, film, 12627 8696, film, 9256 8696, film, 5833 8696, film, 13434 8696, film, 2109 8696, film, 6550 9953, titles, 9528 9866, genre, 9953 9866, genre, 13606 6265, genre, 13606 2150, award, 8970 2150, special_performance_type, 8696 11883, genre, 9953 11883, genre, 13606 6299, genre, 9953 6299, genre, 13606 675, genre, 9953 675, genre, 13606 3533, genre, 9953 3533, genre, 13606 13646, acted_in, 8909 13646, acted_in, 9991 13646, acted_in, 8298 13646, acted_in, 1134 13646, acted_in, 12444 13646, acted_in, 2109 4790, nominated_for, 12218 1734, award_winner, 9860 1734, award_winner, 9848 11439, special_performance_type, 8696 4406, award, 8970 4406, special_performance_type, 8696 1101, award, 8970 1101, special_performance_type, 8696 11330, award_nominee, 9860 11330, award_nominee, 9848 6396, award_nominee, 9860 2685, genre, 9953 2685, genre, 13606 5240, acted_in, 12218 5240, celebrity, 11121 5240, nominated_for, 12218 5240, special_performance_type, 8696 8460, genre, 9953 8460, genre, 13606 9860, award_nominee, 1734 9860, award_nominee, 11330 9860, award_nominee, 5231 9860, award_nominee, 9848 9860, award_winner, 1734 9860, award_winner, 3774 9860, award_winner, 9848 9860, nominated_for, 484 9860, nominated_for, 6856 9860, nominated_for, 2049 9860, nominated_for, 8936 9860, nominated_for, 1743 8970, award_winner, 8890 8970, nominated_for, 3079 8970, nominated_for, 14149 8970, nominated_for, 5271 8970, nominated_for, 6265 8970, nominated_for, 8358 8970, nominated_for, 1706 8970, nominated_for, 5184 8970, nominated_for, 9991 8970, nominated_for, 8298 8970, nominated_for, 1134 8970, nominated_for, 12627 8970, nominated_for, 9256 8970, nominated_for, 5833 8970, nominated_for, 12444 8970, nominated_for, 13434 8970, nominated_for, 13283 5670, film, 12218 5670, nominated_for, 12218 1706, genre, 9953 1706, genre, 13606 1436, people, 4790 1436, people, 5670 11627, acted_in, 6550 11627, nominated_for, 9991 11627, special_performance_type, 8696 451, genre, 9953 451, genre, 13606 8798, award, 8970 8798, special_performance_type, 8696 9528, genre, 9953 9528, genre, 13606 3774, award_nominee, 9860 3774, award_nominee, 9848 3774, award_winner, 9860 12218, film_art_direction_by, 9860 12218, film_music, 8498 12218, genre, 9953 12218, genre, 13606 12218, produced_by, 4790 6826, award, 8970 6826, special_performance_type, 8696 2049, film_art_direction_by, 9860 2049, film_music, 8498 11121, celebrity, 5240 11121, special_performance_type, 8696 5984, place_founded, 5929 5929, vacationer, 11439 11127, film_art_direction_by, 9860 9991, films, 9991 9991, films, 8298 9991, films, 1134 9991, genre, 9953 8298, prequel, 9991 1134, prequel, 8298 13179, genre, 9953 13179, genre, 13606 7683, genre, 9953 7683, genre, 13606 9256, award_honor_award, 8970 6824, award_winner, 9860 6824, award_winner, 9848 6824, film_art_direction_by, 9860 6686, genre, 9953 6686, genre, 13606 8936, award_winner, 9848 8936, film_art_direction_by, 9860 9975, genre, 9953 9975, genre, 13606 1743, award_winner, 9860 1743, award_winner, 9848 1743, film_art_direction_by, 9860 13283, genre, 13606 3088, genre, 9953 3088, genre, 13606 4558, genre, 9953 4558, genre, 13606 5231, award_nominee, 9860 5231, award_nominee, 9848 5231, award_winner, 9860 6007, award, 8970 6007, special_performance_type, 8696 7660, acted_in, 1134 7660, award, 8970 7660, nominated_for, 1134 9848, award_nominee, 11330 9848, award_nominee, 6396 9848, award_nominee, 5231 9848, award_winner, 1734 9848, award_winner, 9860 9848, award_winner, 3774 9848, film_sets_designed, 484 9848, film_sets_designed, 6856 9848, film_sets_designed, 12218 9848, film_sets_designed, 11127 9848, film_sets_designed, 8936 9848, film_sets_designed, 1743 9848, nominated_for, 484 9848, nominated_for, 6856 9848, nominated_for, 6824 9848, nominated_for, 8936 9848, nominated_for, 1743 Question: In what context are Peyton_Place, Rockstar_Games, and Spider-Man connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Peyton_Place", "Rockstar_Games", "Spider-Man" ], "valid_edges": [ [ "26th_Academy_Awards", "award_winner", "Lyle_R._Wheeler" ], [ "26th_Academy_Awards", "award_winner", "Walter_M._Scott" ], [ "29th_Academy_Awards", "award_winner", "Lyle_R._Wheeler" ], [ "29th_Academy_Awards", "award_winner", "Walter_M._Scott" ], [ "32nd_Academy_Awards", "award_winner", "Lyle_R._Wheeler" ], [ "32nd_Academy_Awards", "award_winner", "Walter_M._Scott" ], [ "Adventureland", "genre", "Coming_of_age" ], [ "Adventureland", "genre", "Teen_film" ], [ "Alfred_Molina", "acted_in", "Spider-Man_2" ], [ "Alfred_Molina", "award", "MTV_Movie_Award_for_Best_Villain" ], [ "Alfred_Molina", "nominated_for", "Spider-Man_2" ], [ "All_About_Eve", "film_art_direction_by", "Lyle_R._Wheeler" ], [ "Angelina_Jolie", "award", "MTV_Movie_Award_for_Best_Villain" ], [ "Angelina_Jolie", "special_performance_type", "Cameo_appearance" ], [ "Austin_Powers:_International_Man_of_Mystery", "award_honor_award", "MTV_Movie_Award_for_Best_Villain" ], [ "Ben_Stiller", "award", "MTV_Movie_Award_for_Best_Villain" ], [ "Ben_Stiller", "special_performance_type", "Cameo_appearance" ], [ "Bend_It_Like_Beckham", "genre", "Coming_of_age" ], [ "Bend_It_Like_Beckham", "genre", "Teen_film" ], [ "Bryce_Dallas_Howard", "acted_in", "Spider-Man_3" ], [ "Bryce_Dallas_Howard", "award", "MTV_Movie_Award_for_Best_Villain" ], [ "Cameo_appearance", "film", "Austin_Powers:_Goldmember" ], [ "Cameo_appearance", "film", "Austin_Powers:_International_Man_of_Mystery" ], [ "Cameo_appearance", "film", "Charlie's_Angels:_Full_Throttle" ], [ "Cameo_appearance", "film", "Daredevil" ], [ "Cameo_appearance", "film", "Knocked_Up" ], [ "Cameo_appearance", "film", "Orange_County" ], [ "Cameo_appearance", "film", "Planet_of_the_Apes" ], [ "Cameo_appearance", "film", "Spider-Man" ], [ "Cameo_appearance", "film", "Spider-Man_3" ], [ "Cameo_appearance", "film", "The_Avengers" ], [ "Cameo_appearance", "film", "The_Dark_Knight" ], [ "Cameo_appearance", "film", "The_Dark_Knight_Rises" ], [ "Cameo_appearance", "film", "The_Hangover" ], [ "Cameo_appearance", "film", "The_Holiday" ], [ "Cameo_appearance", "film", "The_Muppets" ], [ "Coming_of_age", "titles", "Orange_County" ], [ "Crossroads", "genre", "Coming_of_age" ], [ "Crossroads", "genre", "Teen_film" ], [ "Cruel_Intentions", "genre", "Teen_film" ], [ "Danny_DeVito", "award", "MTV_Movie_Award_for_Best_Villain" ], [ "Danny_DeVito", "special_performance_type", "Cameo_appearance" ], [ "Dead_Poets_Society", "genre", "Coming_of_age" ], [ "Dead_Poets_Society", "genre", "Teen_film" ], [ "Donnie_Darko", "genre", "Coming_of_age" ], [ "Donnie_Darko", "genre", "Teen_film" ], [ "Ferris_Bueller's_Day_Off", "genre", "Coming_of_age" ], [ "Ferris_Bueller's_Day_Off", "genre", "Teen_film" ], [ "Ghost_World", "genre", "Coming_of_age" ], [ "Ghost_World", "genre", "Teen_film" ], [ "James_Franco", "acted_in", "Knocked_Up" ], [ "James_Franco", "acted_in", "Spider-Man" ], [ "James_Franco", "acted_in", "Spider-Man_2" ], [ "James_Franco", "acted_in", "Spider-Man_3" ], [ "James_Franco", "acted_in", "The_Green_Hornet" ], [ "James_Franco", "acted_in", "The_Holiday" ], [ "Jerry_Wald", "nominated_for", "Peyton_Place" ], [ "John_DeCuir", "award_winner", "Lyle_R._Wheeler" ], [ "John_DeCuir", "award_winner", "Walter_M._Scott" ], [ "John_Krasinski", "special_performance_type", "Cameo_appearance" ], [ "John_Travolta", "award", "MTV_Movie_Award_for_Best_Villain" ], [ "John_Travolta", "special_performance_type", "Cameo_appearance" ], [ "Johnny_Depp", "award", "MTV_Movie_Award_for_Best_Villain" ], [ "Johnny_Depp", "special_performance_type", "Cameo_appearance" ], [ "Joseph_C._Wright", "award_nominee", "Lyle_R._Wheeler" ], [ "Joseph_C._Wright", "award_nominee", "Walter_M._Scott" ], [ "Joseph_Kish", "award_nominee", "Lyle_R._Wheeler" ], [ "Juno", "genre", "Coming_of_age" ], [ "Juno", "genre", "Teen_film" ], [ "Lana_Turner", "acted_in", "Peyton_Place" ], [ "Lana_Turner", "celebrity", "Robert_Evans" ], [ "Lana_Turner", "nominated_for", "Peyton_Place" ], [ "Lana_Turner", "special_performance_type", "Cameo_appearance" ], [ "Lords_of_Dogtown", "genre", "Coming_of_age" ], [ "Lords_of_Dogtown", "genre", "Teen_film" ], [ "Lyle_R._Wheeler", "award_nominee", "John_DeCuir" ], [ "Lyle_R._Wheeler", "award_nominee", "Joseph_C._Wright" ], [ "Lyle_R._Wheeler", "award_nominee", "Thomas_Little" ], [ "Lyle_R._Wheeler", "award_nominee", "Walter_M._Scott" ], [ "Lyle_R._Wheeler", "award_winner", "John_DeCuir" ], [ "Lyle_R._Wheeler", "award_winner", "Paul_S._Fox" ], [ "Lyle_R._Wheeler", "award_winner", "Walter_M._Scott" ], [ "Lyle_R._Wheeler", "nominated_for", "All_About_Eve" ], [ "Lyle_R._Wheeler", "nominated_for", "Love_Is_a_Many-Splendored_Thing" ], [ "Lyle_R._Wheeler", "nominated_for", "Rebecca" ], [ "Lyle_R._Wheeler", "nominated_for", "The_King_and_I" ], [ "Lyle_R._Wheeler", "nominated_for", "The_Robe" ], [ "MTV_Movie_Award_for_Best_Villain", "award_winner", "Ben_Stiller" ], [ "MTV_Movie_Award_for_Best_Villain", "nominated_for", "Austin_Powers:_Goldmember" ], [ "MTV_Movie_Award_for_Best_Villain", "nominated_for", "Austin_Powers:_International_Man_of_Mystery" ], [ "MTV_Movie_Award_for_Best_Villain", "nominated_for", "Charlie's_Angels:_Full_Throttle" ], [ "MTV_Movie_Award_for_Best_Villain", "nominated_for", "Cruel_Intentions" ], [ "MTV_Movie_Award_for_Best_Villain", "nominated_for", "Daredevil" ], [ "MTV_Movie_Award_for_Best_Villain", "nominated_for", "Mean_Girls" ], [ "MTV_Movie_Award_for_Best_Villain", "nominated_for", "Planet_of_the_Apes" ], [ "MTV_Movie_Award_for_Best_Villain", "nominated_for", "Spider-Man" ], [ "MTV_Movie_Award_for_Best_Villain", "nominated_for", "Spider-Man_2" ], [ "MTV_Movie_Award_for_Best_Villain", "nominated_for", "Spider-Man_3" ], [ "MTV_Movie_Award_for_Best_Villain", "nominated_for", "The_Avengers" ], [ "MTV_Movie_Award_for_Best_Villain", "nominated_for", "The_Dark_Knight" ], [ "MTV_Movie_Award_for_Best_Villain", "nominated_for", "The_Dark_Knight_Rises" ], [ "MTV_Movie_Award_for_Best_Villain", "nominated_for", "The_Green_Hornet" ], [ "MTV_Movie_Award_for_Best_Villain", "nominated_for", "The_Hangover" ], [ "MTV_Movie_Award_for_Best_Villain", "nominated_for", "The_Texas_Chainsaw_Massacre" ], [ "Mark_Robson", "film", "Peyton_Place" ], [ "Mark_Robson", "nominated_for", "Peyton_Place" ], [ "Mean_Girls", "genre", "Coming_of_age" ], [ "Mean_Girls", "genre", "Teen_film" ], [ "Myocardial_infarction", "people", "Jerry_Wald" ], [ "Myocardial_infarction", "people", "Mark_Robson" ], [ "Neil_Patrick_Harris", "acted_in", "The_Muppets" ], [ "Neil_Patrick_Harris", "nominated_for", "Spider-Man" ], [ "Neil_Patrick_Harris", "special_performance_type", "Cameo_appearance" ], [ "Nick_and_Norah's_Infinite_Playlist", "genre", "Coming_of_age" ], [ "Nick_and_Norah's_Infinite_Playlist", "genre", "Teen_film" ], [ "Nicolas_Cage", "award", "MTV_Movie_Award_for_Best_Villain" ], [ "Nicolas_Cage", "special_performance_type", "Cameo_appearance" ], [ "Orange_County", "genre", "Coming_of_age" ], [ "Orange_County", "genre", "Teen_film" ], [ "Paul_S._Fox", "award_nominee", "Lyle_R._Wheeler" ], [ "Paul_S._Fox", "award_nominee", "Walter_M._Scott" ], [ "Paul_S._Fox", "award_winner", "Lyle_R._Wheeler" ], [ "Peyton_Place", "film_art_direction_by", "Lyle_R._Wheeler" ], [ "Peyton_Place", "film_music", "Franz_Waxman" ], [ "Peyton_Place", "genre", "Coming_of_age" ], [ "Peyton_Place", "genre", "Teen_film" ], [ "Peyton_Place", "produced_by", "Jerry_Wald" ], [ "Rachel_McAdams", "award", "MTV_Movie_Award_for_Best_Villain" ], [ "Rachel_McAdams", "special_performance_type", "Cameo_appearance" ], [ "Rebecca", "film_art_direction_by", "Lyle_R._Wheeler" ], [ "Rebecca", "film_music", "Franz_Waxman" ], [ "Robert_Evans", "celebrity", "Lana_Turner" ], [ "Robert_Evans", "special_performance_type", "Cameo_appearance" ], [ "Rockstar_Games", "place_founded", "Scotland" ], [ "Scotland", "vacationer", "John_Krasinski" ], [ "South_Pacific", "film_art_direction_by", "Lyle_R._Wheeler" ], [ "Spider-Man", "films", "Spider-Man" ], [ "Spider-Man", "films", "Spider-Man_2" ], [ "Spider-Man", "films", "Spider-Man_3" ], [ "Spider-Man", "genre", "Coming_of_age" ], [ "Spider-Man_2", "prequel", "Spider-Man" ], [ "Spider-Man_3", "prequel", "Spider-Man_2" ], [ "Stand_by_Me", "genre", "Coming_of_age" ], [ "Stand_by_Me", "genre", "Teen_film" ], [ "Superbad", "genre", "Coming_of_age" ], [ "Superbad", "genre", "Teen_film" ], [ "The_Dark_Knight", "award_honor_award", "MTV_Movie_Award_for_Best_Villain" ], [ "The_Diary_of_Anne_Frank", "award_winner", "Lyle_R._Wheeler" ], [ "The_Diary_of_Anne_Frank", "award_winner", "Walter_M._Scott" ], [ "The_Diary_of_Anne_Frank", "film_art_direction_by", "Lyle_R._Wheeler" ], [ "The_History_Boys", "genre", "Coming_of_age" ], [ "The_History_Boys", "genre", "Teen_film" ], [ "The_King_and_I", "award_winner", "Walter_M._Scott" ], [ "The_King_and_I", "film_art_direction_by", "Lyle_R._Wheeler" ], [ "The_Last_Song", "genre", "Coming_of_age" ], [ "The_Last_Song", "genre", "Teen_film" ], [ "The_Robe", "award_winner", "Lyle_R._Wheeler" ], [ "The_Robe", "award_winner", "Walter_M._Scott" ], [ "The_Robe", "film_art_direction_by", "Lyle_R._Wheeler" ], [ "The_Texas_Chainsaw_Massacre", "genre", "Teen_film" ], [ "The_Virgin_Suicides", "genre", "Coming_of_age" ], [ "The_Virgin_Suicides", "genre", "Teen_film" ], [ "Thirteen", "genre", "Coming_of_age" ], [ "Thirteen", "genre", "Teen_film" ], [ "Thomas_Little", "award_nominee", "Lyle_R._Wheeler" ], [ "Thomas_Little", "award_nominee", "Walter_M._Scott" ], [ "Thomas_Little", "award_winner", "Lyle_R._Wheeler" ], [ "Tom_Cruise", "award", "MTV_Movie_Award_for_Best_Villain" ], [ "Tom_Cruise", "special_performance_type", "Cameo_appearance" ], [ "Topher_Grace", "acted_in", "Spider-Man_3" ], [ "Topher_Grace", "award", "MTV_Movie_Award_for_Best_Villain" ], [ "Topher_Grace", "nominated_for", "Spider-Man_3" ], [ "Walter_M._Scott", "award_nominee", "Joseph_C._Wright" ], [ "Walter_M._Scott", "award_nominee", "Joseph_Kish" ], [ "Walter_M._Scott", "award_nominee", "Thomas_Little" ], [ "Walter_M._Scott", "award_winner", "John_DeCuir" ], [ "Walter_M._Scott", "award_winner", "Lyle_R._Wheeler" ], [ "Walter_M._Scott", "award_winner", "Paul_S._Fox" ], [ "Walter_M._Scott", "film_sets_designed", "All_About_Eve" ], [ "Walter_M._Scott", "film_sets_designed", "Love_Is_a_Many-Splendored_Thing" ], [ "Walter_M._Scott", "film_sets_designed", "Peyton_Place" ], [ "Walter_M._Scott", "film_sets_designed", "South_Pacific" ], [ "Walter_M._Scott", "film_sets_designed", "The_King_and_I" ], [ "Walter_M._Scott", "film_sets_designed", "The_Robe" ], [ "Walter_M._Scott", "nominated_for", "All_About_Eve" ], [ "Walter_M._Scott", "nominated_for", "Love_Is_a_Many-Splendored_Thing" ], [ "Walter_M._Scott", "nominated_for", "The_Diary_of_Anne_Frank" ], [ "Walter_M._Scott", "nominated_for", "The_King_and_I" ], [ "Walter_M._Scott", "nominated_for", "The_Robe" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 8740, 2012_British_Academy_Film_Awards 6660, 78th_Academy_Awards 5954, Academy_Award_for_Best_Foreign_Language_Film 264, Addams_Family_Values 2190, Albert_Wolsky 12076, Aliens 8875, An_Ideal_Husband 10174, Anna_Karenina 14128, Atonement 3079, Austin_Powers:_Goldmember 12642, BAFTA_Award_for_Best_Makeup_&_Hair 9644, BAFTA_Award_for_Best_Special_Visual_Effects 14123, Back_to_the_Future 12546, Back_to_the_Future_Part_II 2159, Batman 6077, Batman_Begins 5179, Batman_Returns 6340, Beetlejuice 11081, Big_Fish 13653, Black_Swan 2126, Blade_Runner 7678, Bram_Stoker's_Dracula 10443, Braveheart 2004, Charlie_and_the_Chocolate_Factory 10659, Colleen_Atwood 7411, Crouching_Tiger,_Hidden_Dragon 4159, Curse_of_the_Golden_Flower 3755, Cyrano_de_Bergerac 950, Dick_Tracy 11485, E.T._the_Extra-Terrestrial 6039, Edward_Scissorhands 292, Elizabeth 8098, Elizabeth:_The_Golden_Age 13354, Evita 5300, Frida 8393, From_Hell 7040, Gangs_of_New_York 10956, Ghost 6809, Gladiator 2442, Greystoke:_The_Legend_of_Tarzan,_Lord_of_the_Apes 13849, Hairspray 13331, Harry_Potter_and_the_Chamber_of_Secrets 8058, Harry_Potter_and_the_Goblet_of_Fire 10188, Harry_Potter_and_the_Half-Blood_Prince 9497, Harry_Potter_and_the_Order_of_the_Phoenix 8887, Harry_Potter_and_the_Philosopher's_Stone 2822, Harry_Potter_and_the_Prisoner_of_Azkaban 3809, House_of_Flying_Daggers 14048, Hugo 10842, Indiana_Jones_and_the_Kingdom_of_the_Crystal_Skull 13461, Indiana_Jones_and_the_Last_Crusade 2409, Interview_with_the_Vampire:_The_Vampire_Chronicles 2116, King_Kong 11679, La_Vie_en_Rose 10656, Legend 7127, Little_Shop_of_Horrors 1569, Marie_Antoinette 4119, Marit_Allen 7931, Master_and_Commander:_The_Far_Side_of_the_World 1594, Memoirs_of_a_Geisha 7025, Milena_Canonero 5355, Minority_Report 3632, Moulin_Rouge! 1026, Mrs._Brown 7653, Nine 10485, Pan's_Labyrinth 9182, Pirates_of_the_Caribbean:_At_World's_End 1760, Pirates_of_the_Caribbean:_Dead_Man's_Chest 10744, Pirates_of_the_Caribbean:_The_Curse_of_the_Black_Pearl 5184, Planet_of_the_Apes 4108, Pleasantville 1313, Pre-Code_Hollywood 3998, Pride_&_Prejudice 4331, Red_Cliff 6355, Richard_A._Baker 10889, Richard_Taylor 12018, RoboCop 7442, Sandy_Powell 57, Satellite_Award_for_Best_Costume_Design 13584, Saturn_Award_for_Best_Costume 13300, Saving_Private_Ryan 6213, Shakespeare_in_Love 6778, Sleepy_Hollow 11782, South_Carolina 10376, Spartanburg 6779, Speaker 7005, Stan_Winston 13562, Star_Wars_Episode_VI:_Return_of_the_Jedi 1930, Sweeney_Todd:_The_Demon_Barber_of_Fleet_Street 6797, The_Adventures_of_Baron_Munchausen 5209, The_Artist 2918, The_Aviator 2906, The_Chronicles_of_Narnia:_The_Lion,_the_Witch_and_the_Wardrobe 7718, The_Curious_Case_of_Benjamin_Button 397, The_Devil_Wears_Prada 9684, The_Duchess 5441, The_Fifth_Element 12364, The_Fly 1409, The_Golden_Compass 11631, The_Hobbit:_An_Unexpected_Journey 12971, The_Imaginarium_of_Dr._Parnassus 3608, The_Iron_Lady 2884, The_Killing_Fields 14045, The_King's_Speech 7952, The_Last_Emperor 5599, The_Mask 9365, The_Matrix 2679, The_Mummy 10795, The_Nutty_Professor 6040, The_Phantom_of_the_Opera 8864, The_Wings_of_the_Dove 10131, The_Young_Victoria 2120, Titanic 41, Venezuela 3081, Waterworld src, edge_attr, dst 6660, honored_for, 2116 5954, ceremony, 6660 5954, nominated_for, 7411 5954, nominated_for, 3755 5954, nominated_for, 10485 2190, award, 57 2190, award, 13584 12076, award_honor_award, 9644 12642, award_winner, 6355 12642, award_winner, 10889 12642, ceremony, 8740 12642, nominated_for, 264 12642, nominated_for, 12076 12642, nominated_for, 8875 12642, nominated_for, 10174 12642, nominated_for, 14128 12642, nominated_for, 2159 12642, nominated_for, 5179 12642, nominated_for, 6340 12642, nominated_for, 11081 12642, nominated_for, 13653 12642, nominated_for, 2126 12642, nominated_for, 7678 12642, nominated_for, 10443 12642, nominated_for, 2004 12642, nominated_for, 7411 12642, nominated_for, 3755 12642, nominated_for, 950 12642, nominated_for, 11485 12642, nominated_for, 6039 12642, nominated_for, 8098 12642, nominated_for, 13354 12642, nominated_for, 5300 12642, nominated_for, 7040 12642, nominated_for, 10956 12642, nominated_for, 6809 12642, nominated_for, 2442 12642, nominated_for, 13849 12642, nominated_for, 8058 12642, nominated_for, 8887 12642, nominated_for, 2822 12642, nominated_for, 3809 12642, nominated_for, 14048 12642, nominated_for, 2409 12642, nominated_for, 11679 12642, nominated_for, 10656 12642, nominated_for, 1569 12642, nominated_for, 1594 12642, nominated_for, 3632 12642, nominated_for, 1026 12642, nominated_for, 7653 12642, nominated_for, 1760 12642, nominated_for, 5184 12642, nominated_for, 3998 12642, nominated_for, 12018 12642, nominated_for, 13300 12642, nominated_for, 6213 12642, nominated_for, 13562 12642, nominated_for, 1930 12642, nominated_for, 5209 12642, nominated_for, 2918 12642, nominated_for, 2906 12642, nominated_for, 7718 12642, nominated_for, 397 12642, nominated_for, 9684 12642, nominated_for, 12364 12642, nominated_for, 11631 12642, nominated_for, 12971 12642, nominated_for, 3608 12642, nominated_for, 2884 12642, nominated_for, 14045 12642, nominated_for, 7952 12642, nominated_for, 5599 12642, nominated_for, 8864 12642, nominated_for, 10131 12642, nominated_for, 2120 9644, award_winner, 10889 9644, ceremony, 8740 9644, nominated_for, 14123 9644, nominated_for, 12546 9644, nominated_for, 2159 9644, nominated_for, 6077 9644, nominated_for, 5179 9644, nominated_for, 6340 9644, nominated_for, 11081 9644, nominated_for, 13653 9644, nominated_for, 2126 9644, nominated_for, 7678 9644, nominated_for, 2004 9644, nominated_for, 7411 9644, nominated_for, 950 9644, nominated_for, 11485 9644, nominated_for, 6039 9644, nominated_for, 7040 9644, nominated_for, 10956 9644, nominated_for, 6809 9644, nominated_for, 13331 9644, nominated_for, 8058 9644, nominated_for, 10188 9644, nominated_for, 9497 9644, nominated_for, 8887 9644, nominated_for, 2822 9644, nominated_for, 3809 9644, nominated_for, 14048 9644, nominated_for, 10842 9644, nominated_for, 13461 9644, nominated_for, 2116 9644, nominated_for, 10656 9644, nominated_for, 7127 9644, nominated_for, 7931 9644, nominated_for, 5355 9644, nominated_for, 3632 9644, nominated_for, 10485 9644, nominated_for, 9182 9644, nominated_for, 1760 9644, nominated_for, 10744 9644, nominated_for, 12018 9644, nominated_for, 13300 9644, nominated_for, 6778 9644, nominated_for, 13562 9644, nominated_for, 6797 9644, nominated_for, 2918 9644, nominated_for, 2906 9644, nominated_for, 7718 9644, nominated_for, 5441 9644, nominated_for, 12364 9644, nominated_for, 1409 9644, nominated_for, 11631 9644, nominated_for, 2884 9644, nominated_for, 7952 9644, nominated_for, 5599 9644, nominated_for, 2679 9644, nominated_for, 10795 9644, nominated_for, 2120 9644, nominated_for, 3081 12546, award_honor_award, 9644 11081, film_release_region, 41 13653, film_release_region, 41 7678, award_honor_award, 13584 10659, award, 57 10659, award, 13584 7411, award_honor_award, 5954 7411, film_release_region, 41 4159, award_honor_award, 13584 3755, award_honor_award, 12642 950, award_honor_award, 12642 292, award_honor_award, 12642 8098, award_honor_award, 57 13354, award_honor_award, 57 5300, award_honor_award, 12642 5300, award_honor_award, 57 2442, award_honor_award, 12642 3809, film_release_region, 41 14048, film_release_region, 41 10842, award_honor_award, 13584 2409, award_honor_award, 13584 2116, award_honor_award, 9644 2116, award_winner, 10889 2116, crewmember, 10889 2116, genre, 1313 11679, award_honor_award, 12642 4119, award, 57 4119, award, 13584 7025, award, 57 7025, award, 13584 3632, award_honor_award, 57 10485, award_honor_award, 12642 10744, award_honor_award, 12642 10744, award_honor_award, 13584 10744, film_release_region, 41 3998, award_honor_award, 57 6355, award, 12642 6355, award, 9644 10889, award, 12642 10889, award, 9644 10889, award, 57 10889, award, 13584 10889, nominated_for, 2116 7442, award, 57 7442, award, 13584 57, nominated_for, 8875 57, nominated_for, 10174 57, nominated_for, 14128 57, nominated_for, 3079 57, nominated_for, 13653 57, nominated_for, 7411 57, nominated_for, 4159 57, nominated_for, 292 57, nominated_for, 8098 57, nominated_for, 13354 57, nominated_for, 5300 57, nominated_for, 8393 57, nominated_for, 7040 57, nominated_for, 6809 57, nominated_for, 13849 57, nominated_for, 8058 57, nominated_for, 3809 57, nominated_for, 11679 57, nominated_for, 1569 57, nominated_for, 7931 57, nominated_for, 1594 57, nominated_for, 1026 57, nominated_for, 7653 57, nominated_for, 10744 57, nominated_for, 5184 57, nominated_for, 4108 57, nominated_for, 3998 57, nominated_for, 4331 57, nominated_for, 6213 57, nominated_for, 6778 57, nominated_for, 5209 57, nominated_for, 2918 57, nominated_for, 7718 57, nominated_for, 397 57, nominated_for, 9684 57, nominated_for, 14045 57, nominated_for, 6040 57, nominated_for, 8864 57, nominated_for, 10131 57, nominated_for, 2120 13584, award_winner, 10659 13584, award_winner, 10889 13584, award_winner, 7442 13584, nominated_for, 264 13584, nominated_for, 3079 13584, nominated_for, 14123 13584, nominated_for, 12546 13584, nominated_for, 2159 13584, nominated_for, 6077 13584, nominated_for, 5179 13584, nominated_for, 7678 13584, nominated_for, 10443 13584, nominated_for, 2004 13584, nominated_for, 7411 13584, nominated_for, 950 13584, nominated_for, 6039 13584, nominated_for, 8393 13584, nominated_for, 2442 13584, nominated_for, 13331 13584, nominated_for, 8058 13584, nominated_for, 10188 13584, nominated_for, 9497 13584, nominated_for, 8887 13584, nominated_for, 2822 13584, nominated_for, 3809 13584, nominated_for, 13461 13584, nominated_for, 2409 13584, nominated_for, 7127 13584, nominated_for, 5355 13584, nominated_for, 3632 13584, nominated_for, 7653 13584, nominated_for, 9182 13584, nominated_for, 1760 13584, nominated_for, 10744 13584, nominated_for, 5184 13584, nominated_for, 4108 13584, nominated_for, 4331 13584, nominated_for, 6778 13584, nominated_for, 1930 13584, nominated_for, 2906 13584, nominated_for, 5441 13584, nominated_for, 1409 13584, nominated_for, 5599 13584, nominated_for, 9365 13584, nominated_for, 2679 13584, nominated_for, 6040 13584, nominated_for, 3081 13300, award_honor_award, 9644 11782, contains, 10376 10376, place, 10376 6779, jurisdiction_of_office, 11782 6779, jurisdiction_of_office, 41 7005, award, 12642 7005, award, 9644 13562, award_honor_award, 9644 13562, award_honor_award, 13584 1930, award_honor_award, 13584 6797, award_honor_award, 12642 5209, film_release_region, 41 2918, award_honor_award, 12642 2906, award_honor_award, 12642 2906, award_honor_award, 13584 7718, award_honor_award, 12642 7718, award_honor_award, 9644 397, award_honor_award, 57 5441, award_honor_award, 9644 1409, award_honor_award, 9644 1409, film_release_region, 41 12971, award_honor_award, 57 3608, film_release_region, 41 9365, award_honor_award, 9644 10795, award_honor_award, 12642 10131, award_honor_award, 12642 2120, award_honor_award, 57 Question: In what context are Crouching_Tiger,_Hidden_Dragon, Pre-Code_Hollywood, and Spartanburg connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Crouching_Tiger,_Hidden_Dragon", "Pre-Code_Hollywood", "Spartanburg" ], "valid_edges": [ [ "78th_Academy_Awards", "honored_for", "King_Kong" ], [ "Academy_Award_for_Best_Foreign_Language_Film", "ceremony", "78th_Academy_Awards" ], [ "Academy_Award_for_Best_Foreign_Language_Film", "nominated_for", "Crouching_Tiger,_Hidden_Dragon" ], [ "Academy_Award_for_Best_Foreign_Language_Film", "nominated_for", "Cyrano_de_Bergerac" ], [ "Academy_Award_for_Best_Foreign_Language_Film", "nominated_for", "Pan's_Labyrinth" ], [ "Albert_Wolsky", "award", "Satellite_Award_for_Best_Costume_Design" ], [ "Albert_Wolsky", "award", "Saturn_Award_for_Best_Costume" ], [ "Aliens", "award_honor_award", "BAFTA_Award_for_Best_Special_Visual_Effects" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "award_winner", "Richard_A._Baker" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "award_winner", "Richard_Taylor" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "ceremony", "2012_British_Academy_Film_Awards" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Addams_Family_Values" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Aliens" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "An_Ideal_Husband" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Anna_Karenina" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Atonement" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Batman" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Batman_Returns" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Beetlejuice" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Big_Fish" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Black_Swan" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Blade_Runner" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Bram_Stoker's_Dracula" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Braveheart" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Charlie_and_the_Chocolate_Factory" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Crouching_Tiger,_Hidden_Dragon" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Cyrano_de_Bergerac" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Dick_Tracy" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "E.T._the_Extra-Terrestrial" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Edward_Scissorhands" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Elizabeth:_The_Golden_Age" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Evita" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Frida" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Gangs_of_New_York" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Ghost" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", "nominated_for", "Gladiator" ], [ "BAFTA_Award_for_Best_Makeup_&_Hair", 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"BAFTA_Award_for_Best_Special_Visual_Effects" ], [ "South_Carolina", "contains", "Spartanburg" ], [ "Spartanburg", "place", "Spartanburg" ], [ "Speaker", "jurisdiction_of_office", "South_Carolina" ], [ "Speaker", "jurisdiction_of_office", "Venezuela" ], [ "Stan_Winston", "award", "BAFTA_Award_for_Best_Makeup_&_Hair" ], [ "Stan_Winston", "award", "BAFTA_Award_for_Best_Special_Visual_Effects" ], [ "Star_Wars_Episode_VI:_Return_of_the_Jedi", "award_honor_award", "BAFTA_Award_for_Best_Special_Visual_Effects" ], [ "Star_Wars_Episode_VI:_Return_of_the_Jedi", "award_honor_award", "Saturn_Award_for_Best_Costume" ], [ "Sweeney_Todd:_The_Demon_Barber_of_Fleet_Street", "award_honor_award", "Saturn_Award_for_Best_Costume" ], [ "The_Adventures_of_Baron_Munchausen", "award_honor_award", "BAFTA_Award_for_Best_Makeup_&_Hair" ], [ "The_Artist", "film_release_region", "Venezuela" ], [ "The_Aviator", "award_honor_award", "BAFTA_Award_for_Best_Makeup_&_Hair" ], [ "The_Chronicles_of_Narnia:_The_Lion,_the_Witch_and_the_Wardrobe", "award_honor_award", "BAFTA_Award_for_Best_Makeup_&_Hair" ], [ "The_Chronicles_of_Narnia:_The_Lion,_the_Witch_and_the_Wardrobe", "award_honor_award", "Saturn_Award_for_Best_Costume" ], [ "The_Curious_Case_of_Benjamin_Button", "award_honor_award", "BAFTA_Award_for_Best_Makeup_&_Hair" ], [ "The_Curious_Case_of_Benjamin_Button", "award_honor_award", "BAFTA_Award_for_Best_Special_Visual_Effects" ], [ "The_Devil_Wears_Prada", "award_honor_award", "Satellite_Award_for_Best_Costume_Design" ], [ "The_Fifth_Element", "award_honor_award", "BAFTA_Award_for_Best_Special_Visual_Effects" ], [ "The_Golden_Compass", "award_honor_award", "BAFTA_Award_for_Best_Special_Visual_Effects" ], [ "The_Golden_Compass", "film_release_region", "Venezuela" ], [ "The_Imaginarium_of_Dr._Parnassus", "award_honor_award", "Satellite_Award_for_Best_Costume_Design" ], [ "The_Iron_Lady", "film_release_region", "Venezuela" ], [ "The_Matrix", "award_honor_award", "BAFTA_Award_for_Best_Special_Visual_Effects" ], [ "The_Nutty_Professor", "award_honor_award", "BAFTA_Award_for_Best_Makeup_&_Hair" ], [ "The_Young_Victoria", "award_honor_award", "BAFTA_Award_for_Best_Makeup_&_Hair" ], [ "Titanic", "award_honor_award", "Satellite_Award_for_Best_Costume_Design" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 4069, 10th_Screen_Actors_Guild_Awards 1231, 13th_Screen_Actors_Guild_Awards 670, 15th_Screen_Actors_Guild_Awards 5397, 16th_Screen_Actors_Guild_Awards 6730, 17th_Screen_Actors_Guild_Awards 11924, 18th_Screen_Actors_Guild_Awards 8920, 59th_Primetime_Emmy_Awards 12443, 61st_Primetime_Emmy_Awards 7842, 63rd_Primetime_Emmy_Awards 5580, 8th_Screen_Actors_Guild_Awards 3531, Adelaide 730, Alan_Alda 2027, Alec_Baldwin 1393, Anatole_Litvak 11540, Anthony_LaPaglia 4373, Athens 4389, Austria 10404, Ben_Gazzara 2131, Bette_Davis 13666, Bobby_Cannavale 13260, Bruce_Willis 9401, Bryan_Cranston 676, Charles_Boyer 1475, Dallas 14145, David_Duchovny 333, Dennis_Franz 8538, Derek_Jacobi 10151, Downton_Abbey 9700, E._G._Marshall 3104, Elizabeth_McGovern 10160, Friday_Night_Lights 7331, Gabriel_Byrne 3383, Geoffrey_Rush 752, George_Clooney 7217, Gillian_Anderson 12503, Greece 3704, Hal_Holbrook 5471, Hank_Azaria 163, Happy_Feet 13473, Hugh_Bonneville 2358, Hugh_Laurie 6222, Hungary 273, Ian_McKellen 3214, Ian_McShane 5587, Ian_Somerhalder 3529, Iceland 847, Israel 13117, James_Earl_Jones 4867, James_Gandolfini 12849, James_Spader 1880, Jeff_Daniels 222, Jerry_Orbach 1941, Jimmy_Smits 12137, John_Lithgow 3162, Jon_Hamm 5140, Katherine_Heigl 13608, Kiefer_Sutherland 3351, Kiev 10873, Kyle_Chandler 14021, Lantana 7298, Laurence_Olivier 614, Library_of_Congress_Classification 9628, Lowell 4184, Martin_Landau 885, Martin_Sheen 9240, Massachusetts 3278, Mayor 5680, Michael_C._Hall 3326, Moscow 10225, Music 1281, Nationalism 12313, Neuilly-sur-Seine 8723, New_Zealand 9966, Norway 8493, Oceania 2752, Paris 8854, Patrick_Dempsey 1557, Patrick_Stewart 9536, Peter_Krause 161, Portugal 818, Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series 4770, Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series 10766, Republic_of_Ireland 13547, Rob_Lowe 10294, Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series 13631, Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series 10549, Simon_Baker 169, Stanley_Tucci 7069, Steve_Buscemi 5075, Switzerland 2083, The_House_of_Mirth 1275, Tom_Skerritt 3421, Tony_Award_for_Best_Actor_in_a_Play 36, Ukraine 5227, Victor_Garber 6961, Washington,_D.C. 3390, William_Shatner src, edge_attr, dst 730, award, 818 730, award, 4770 730, award, 10294 730, award, 13631 730, award, 3421 2027, award, 818 2027, award, 3421 1393, location, 3351 1393, nationality, 36 1393, participant, 2131 1393, place_of_death, 12313 11540, acted_in, 163 11540, acted_in, 2083 11540, award, 818 11540, award, 4770 11540, award, 10294 11540, award, 13631 11540, award, 3421 11540, location, 3531 11540, nominated_for, 14021 4373, taxonomy, 614 4389, taxonomy, 614 10404, award, 4770 10404, award, 3421 2131, location, 9240 2131, participant, 1393 2131, place_of_birth, 9628 2131, place_of_death, 12313 13666, award, 818 13666, award, 13631 13666, award, 3421 13260, award, 4770 9401, award, 4770 9401, award, 10294 9401, award, 13631 676, award, 4770 676, award, 3421 14145, award, 818 14145, award, 4770 14145, award, 10294 14145, award, 13631 333, award, 10294 333, award, 13631 8538, award, 818 10151, award_honor_award, 13631 9700, award, 4770 9700, award, 13631 3104, acted_in, 2083 3104, award, 13631 7331, award, 4770 7331, award, 3421 3383, acted_in, 14021 3383, award, 3421 752, award, 4770 752, award, 10294 752, award, 13631 7217, acted_in, 2083 7217, award, 13631 7217, nominated_for, 2083 12503, taxonomy, 614 3704, award, 4770 3704, award, 3421 5471, award, 818 5471, award, 4770 5471, award, 10294 163, genre, 10225 13473, award, 4770 13473, award, 13631 2358, award, 4770 2358, award, 13631 6222, taxonomy, 614 273, award, 818 273, award, 3421 3214, award, 4770 3214, award, 10294 3214, award, 13631 5587, award, 13631 5587, location, 2752 3529, taxonomy, 614 847, taxonomy, 614 13117, award, 818 13117, award, 4770 13117, award, 3421 4867, award, 4770 4867, award, 10294 4867, award, 3421 12849, award, 4770 12849, award, 10294 12849, award, 13631 1880, award, 10294 1880, award, 3421 222, award, 818 222, award, 4770 222, award, 10294 222, award, 13631 1941, award, 4770 1941, award, 10294 1941, award, 13631 12137, award, 13631 12137, award, 3421 3162, award, 818 3162, award, 4770 3162, award, 10294 3162, award, 13631 5140, award, 13631 13608, award, 4770 13608, award, 10294 13608, award, 13631 10873, award, 10294 14021, award_winner, 11540 14021, film_country, 8723 7298, award, 4770 7298, award, 3421 4184, award, 818 4184, award, 4770 885, award, 818 885, award, 4770 885, award, 10294 885, award, 13631 9240, taxonomy, 614 3278, jurisdiction_of_office, 4373 3278, jurisdiction_of_office, 1475 3278, jurisdiction_of_office, 3351 3278, jurisdiction_of_office, 9628 3278, jurisdiction_of_office, 3326 3278, jurisdiction_of_office, 12313 3278, jurisdiction_of_office, 2752 3278, jurisdiction_of_office, 6961 5680, award, 4770 5680, award, 10294 3326, taxonomy, 614 10225, taxonomy, 614 1281, taxonomy, 614 8723, taxonomy, 614 9966, taxonomy, 614 8493, contains, 3531 8493, taxonomy, 614 2752, capital, 2752 2752, contains, 12313 2752, taxonomy, 614 2752, vacationer, 5140 2752, vacationer, 13608 2752, vacationer, 8854 8854, award, 10294 8854, award, 13631 1557, award, 818 1557, award, 10294 1557, award, 3421 9536, award, 4770 9536, award, 10294 9536, award, 13631 161, taxonomy, 614 818, award_winner, 13666 818, award_winner, 13260 818, award_winner, 8538 818, award_winner, 885 818, award_winner, 169 818, ceremony, 8920 818, ceremony, 12443 818, ceremony, 7842 4770, award_winner, 333 4770, award_winner, 9700 4770, award_winner, 3704 4770, award_winner, 13117 4770, award_winner, 12849 4770, award_winner, 13608 4770, award_winner, 10873 4770, award_winner, 1275 4770, ceremony, 8920 4770, ceremony, 12443 4770, ceremony, 7842 4770, nominated_for, 1475 4770, nominated_for, 10151 4770, nominated_for, 10160 10766, taxonomy, 614 13547, award, 4770 13547, award, 13631 10294, award_winner, 9401 10294, award_winner, 333 10294, award_winner, 2358 10294, award_winner, 4867 10294, award_winner, 222 10294, award_winner, 885 10294, award_winner, 7069 10294, ceremony, 4069 10294, ceremony, 1231 10294, ceremony, 670 10294, ceremony, 5397 10294, ceremony, 6730 10294, ceremony, 11924 10294, ceremony, 5580 10294, nominated_for, 10160 13631, award_winner, 3104 13631, award_winner, 5587 13631, award_winner, 4867 13631, award_winner, 1941 13631, award_winner, 3162 13631, award_winner, 5140 13631, award_winner, 885 13631, award_winner, 5680 13631, award_winner, 8854 13631, award_winner, 9536 13631, award_winner, 13547 13631, award_winner, 7069 13631, ceremony, 4069 13631, ceremony, 1231 13631, ceremony, 670 13631, ceremony, 5397 13631, ceremony, 6730 13631, ceremony, 11924 13631, ceremony, 5580 10549, award, 4770 10549, award, 10294 169, award, 3421 7069, award, 818 7069, award, 4770 5075, taxonomy, 614 2083, film_release_region, 4389 2083, film_release_region, 12503 2083, film_release_region, 6222 2083, film_release_region, 3529 2083, film_release_region, 847 2083, film_release_region, 9966 2083, film_release_region, 161 2083, film_release_region, 10766 2083, film_release_region, 5075 1275, award, 10294 1275, award, 13631 3421, award_winner, 11540 3421, award_winner, 8538 3421, award_winner, 3704 3421, award_winner, 273 3421, award_winner, 13117 36, taxonomy, 614 5227, award, 818 5227, award, 3421 6961, taxonomy, 614 3390, award, 818 3390, award, 10294 3390, award, 13631 Question: In what context are Anthony_LaPaglia, Nationalism, and Neuilly-sur-Seine connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Anthony_LaPaglia", "Nationalism", "Neuilly-sur-Seine" ], "valid_edges": [ [ "Alan_Alda", "award", "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series" ], [ "Alan_Alda", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Alan_Alda", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "Alan_Alda", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Alan_Alda", "award", "Tony_Award_for_Best_Actor_in_a_Play" ], [ "Alec_Baldwin", "award", "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series" ], [ "Alec_Baldwin", "award", "Tony_Award_for_Best_Actor_in_a_Play" ], [ "Anatole_Litvak", "location", "Kiev" ], [ "Anatole_Litvak", "nationality", "Ukraine" ], [ "Anatole_Litvak", "participant", "Bette_Davis" ], [ "Anatole_Litvak", "place_of_death", "Neuilly-sur-Seine" ], [ "Anthony_LaPaglia", "acted_in", "Happy_Feet" ], [ "Anthony_LaPaglia", "acted_in", "The_House_of_Mirth" ], [ "Anthony_LaPaglia", "award", "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series" ], [ "Anthony_LaPaglia", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Anthony_LaPaglia", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "Anthony_LaPaglia", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Anthony_LaPaglia", "award", "Tony_Award_for_Best_Actor_in_a_Play" ], [ "Anthony_LaPaglia", "location", "Adelaide" ], [ "Anthony_LaPaglia", "nominated_for", "Lantana" ], [ "Athens", "taxonomy", "Library_of_Congress_Classification" ], [ "Austria", "taxonomy", "Library_of_Congress_Classification" ], [ "Ben_Gazzara", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Ben_Gazzara", "award", "Tony_Award_for_Best_Actor_in_a_Play" ], [ "Bette_Davis", "location", "Massachusetts" ], [ "Bette_Davis", "participant", "Anatole_Litvak" ], [ "Bette_Davis", "place_of_birth", "Lowell" ], [ "Bette_Davis", "place_of_death", "Neuilly-sur-Seine" ], [ "Bobby_Cannavale", "award", "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series" ], [ "Bobby_Cannavale", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Bobby_Cannavale", "award", "Tony_Award_for_Best_Actor_in_a_Play" ], [ "Bruce_Willis", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Bryan_Cranston", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Bryan_Cranston", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "Bryan_Cranston", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Charles_Boyer", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Charles_Boyer", "award", "Tony_Award_for_Best_Actor_in_a_Play" ], [ "David_Duchovny", "award", "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series" ], [ "David_Duchovny", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "David_Duchovny", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "David_Duchovny", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Dennis_Franz", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "Dennis_Franz", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Derek_Jacobi", "award", "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series" ], [ "Downton_Abbey", "award_honor_award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "E._G._Marshall", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "E._G._Marshall", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Elizabeth_McGovern", "acted_in", "The_House_of_Mirth" ], [ "Elizabeth_McGovern", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Gabriel_Byrne", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Gabriel_Byrne", "award", "Tony_Award_for_Best_Actor_in_a_Play" ], [ "Geoffrey_Rush", "acted_in", "Lantana" ], [ "Geoffrey_Rush", "award", "Tony_Award_for_Best_Actor_in_a_Play" ], [ "George_Clooney", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "George_Clooney", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "George_Clooney", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Gillian_Anderson", "acted_in", "The_House_of_Mirth" ], [ "Gillian_Anderson", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Gillian_Anderson", "nominated_for", "The_House_of_Mirth" ], [ "Greece", "taxonomy", "Library_of_Congress_Classification" ], [ "Hal_Holbrook", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Hal_Holbrook", "award", "Tony_Award_for_Best_Actor_in_a_Play" ], [ "Hank_Azaria", "award", "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series" ], [ "Hank_Azaria", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Hank_Azaria", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "Happy_Feet", "genre", "Music" ], [ "Hugh_Bonneville", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Hugh_Bonneville", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Hugh_Laurie", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Hugh_Laurie", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Hungary", "taxonomy", "Library_of_Congress_Classification" ], [ "Ian_McKellen", "award", "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series" ], [ "Ian_McKellen", "award", "Tony_Award_for_Best_Actor_in_a_Play" ], [ "Ian_McShane", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Ian_McShane", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "Ian_McShane", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Ian_Somerhalder", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Ian_Somerhalder", "location", "Paris" ], [ "Iceland", "taxonomy", "Library_of_Congress_Classification" ], [ "Israel", "taxonomy", "Library_of_Congress_Classification" ], [ "James_Earl_Jones", "award", "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series" ], [ "James_Earl_Jones", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "James_Earl_Jones", "award", "Tony_Award_for_Best_Actor_in_a_Play" ], [ "James_Gandolfini", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "James_Gandolfini", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "James_Gandolfini", "award", "Tony_Award_for_Best_Actor_in_a_Play" ], [ "James_Spader", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "James_Spader", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "James_Spader", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Jeff_Daniels", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "Jeff_Daniels", "award", "Tony_Award_for_Best_Actor_in_a_Play" ], [ "Jerry_Orbach", "award", "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series" ], [ "Jerry_Orbach", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Jerry_Orbach", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "Jerry_Orbach", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Jimmy_Smits", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Jimmy_Smits", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "Jimmy_Smits", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "John_Lithgow", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "John_Lithgow", "award", "Tony_Award_for_Best_Actor_in_a_Play" ], [ "Jon_Hamm", "award", "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series" ], [ "Jon_Hamm", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Jon_Hamm", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "Jon_Hamm", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Katherine_Heigl", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Kiefer_Sutherland", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Kiefer_Sutherland", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "Kiefer_Sutherland", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Kyle_Chandler", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "Lantana", "award_winner", "Anthony_LaPaglia" ], [ "Lantana", "film_country", "New_Zealand" ], [ "Laurence_Olivier", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Laurence_Olivier", "award", "Tony_Award_for_Best_Actor_in_a_Play" ], [ "Martin_Landau", "award", "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series" ], [ "Martin_Landau", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Martin_Sheen", "award", "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series" ], [ "Martin_Sheen", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Martin_Sheen", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "Martin_Sheen", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Massachusetts", "taxonomy", "Library_of_Congress_Classification" ], [ "Mayor", "jurisdiction_of_office", "Athens" ], [ "Mayor", "jurisdiction_of_office", "Dallas" ], [ "Mayor", "jurisdiction_of_office", "Kiev" ], [ "Mayor", "jurisdiction_of_office", "Lowell" ], [ "Mayor", "jurisdiction_of_office", "Moscow" ], [ "Mayor", "jurisdiction_of_office", "Neuilly-sur-Seine" ], [ "Mayor", "jurisdiction_of_office", "Paris" ], [ "Mayor", "jurisdiction_of_office", "Washington,_D.C." ], [ "Michael_C._Hall", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Michael_C._Hall", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "Moscow", "taxonomy", "Library_of_Congress_Classification" ], [ "Music", "taxonomy", "Library_of_Congress_Classification" ], [ "Nationalism", "taxonomy", "Library_of_Congress_Classification" ], [ "New_Zealand", "taxonomy", "Library_of_Congress_Classification" ], [ "Norway", "taxonomy", "Library_of_Congress_Classification" ], [ "Oceania", "contains", "Adelaide" ], [ "Oceania", "taxonomy", "Library_of_Congress_Classification" ], [ "Paris", "capital", "Paris" ], [ "Paris", "contains", "Neuilly-sur-Seine" ], [ "Paris", "taxonomy", "Library_of_Congress_Classification" ], [ "Paris", "vacationer", "Katherine_Heigl" ], [ "Paris", "vacationer", "Kiefer_Sutherland" ], [ "Paris", "vacationer", "Patrick_Dempsey" ], [ "Patrick_Dempsey", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "Patrick_Dempsey", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Patrick_Stewart", "award", "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series" ], [ "Patrick_Stewart", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "Patrick_Stewart", "award", "Tony_Award_for_Best_Actor_in_a_Play" ], [ "Peter_Krause", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Peter_Krause", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "Peter_Krause", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Portugal", "taxonomy", "Library_of_Congress_Classification" ], [ "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series", "award_winner", "Bobby_Cannavale" ], [ "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series", "award_winner", "Bruce_Willis" ], [ "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series", "award_winner", "Derek_Jacobi" ], [ "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series", "award_winner", "Martin_Sheen" ], [ "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series", "award_winner", "Stanley_Tucci" ], [ "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series", "ceremony", "59th_Primetime_Emmy_Awards" ], [ "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series", "ceremony", "61st_Primetime_Emmy_Awards" ], [ "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series", "ceremony", "63rd_Primetime_Emmy_Awards" ], [ "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series", "award_winner", "Dennis_Franz" ], [ "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series", "award_winner", "E._G._Marshall" ], [ "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series", "award_winner", "Hal_Holbrook" ], [ "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series", "award_winner", "James_Earl_Jones" ], [ "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series", "award_winner", "James_Spader" ], [ "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series", "award_winner", "Kiefer_Sutherland" ], [ "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series", "award_winner", "Kyle_Chandler" ], [ "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series", "award_winner", "Tom_Skerritt" ], [ "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series", "ceremony", "59th_Primetime_Emmy_Awards" ], [ "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series", "ceremony", "61st_Primetime_Emmy_Awards" ], [ "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series", "ceremony", "63rd_Primetime_Emmy_Awards" ], [ "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series", "nominated_for", "Dallas" ], [ "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series", "nominated_for", "Downton_Abbey" ], [ "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series", "nominated_for", "Friday_Night_Lights" ], [ "Republic_of_Ireland", "taxonomy", "Library_of_Congress_Classification" ], [ "Rob_Lowe", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Rob_Lowe", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series", "award_winner", "Bryan_Cranston" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series", "award_winner", "Dennis_Franz" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series", "award_winner", "Hugh_Laurie" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series", "award_winner", "James_Gandolfini" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series", "award_winner", "Jerry_Orbach" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series", "award_winner", "Martin_Sheen" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series", "award_winner", "Steve_Buscemi" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series", "ceremony", "10th_Screen_Actors_Guild_Awards" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series", "ceremony", "13th_Screen_Actors_Guild_Awards" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series", "ceremony", "15th_Screen_Actors_Guild_Awards" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series", "ceremony", "16th_Screen_Actors_Guild_Awards" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series", "ceremony", "17th_Screen_Actors_Guild_Awards" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series", "ceremony", "18th_Screen_Actors_Guild_Awards" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series", "ceremony", "8th_Screen_Actors_Guild_Awards" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series", "nominated_for", "Friday_Night_Lights" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Elizabeth_McGovern" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Ian_Somerhalder" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "James_Gandolfini" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Jimmy_Smits" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Jon_Hamm" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Katherine_Heigl" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Martin_Sheen" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Michael_C._Hall" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Patrick_Dempsey" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Peter_Krause" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Rob_Lowe" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "award_winner", "Steve_Buscemi" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "ceremony", "10th_Screen_Actors_Guild_Awards" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "ceremony", "13th_Screen_Actors_Guild_Awards" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "ceremony", "15th_Screen_Actors_Guild_Awards" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "ceremony", "16th_Screen_Actors_Guild_Awards" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "ceremony", "17th_Screen_Actors_Guild_Awards" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "ceremony", "18th_Screen_Actors_Guild_Awards" ], [ "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series", "ceremony", "8th_Screen_Actors_Guild_Awards" ], [ "Simon_Baker", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Simon_Baker", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "Stanley_Tucci", "award", "Tony_Award_for_Best_Actor_in_a_Play" ], [ "Steve_Buscemi", "award", "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series" ], [ "Steve_Buscemi", "award", "Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Drama_Series" ], [ "Switzerland", "taxonomy", "Library_of_Congress_Classification" ], [ "The_House_of_Mirth", "film_release_region", "Austria" ], [ "The_House_of_Mirth", "film_release_region", "Greece" ], [ "The_House_of_Mirth", "film_release_region", "Hungary" ], [ "The_House_of_Mirth", "film_release_region", "Iceland" ], [ "The_House_of_Mirth", "film_release_region", "Israel" ], [ "The_House_of_Mirth", "film_release_region", "Norway" ], [ "The_House_of_Mirth", "film_release_region", "Portugal" ], [ "The_House_of_Mirth", "film_release_region", "Republic_of_Ireland" ], [ "The_House_of_Mirth", "film_release_region", "Switzerland" ], [ "Tom_Skerritt", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "Tom_Skerritt", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ], [ "Tony_Award_for_Best_Actor_in_a_Play", "award_winner", "Anthony_LaPaglia" ], [ "Tony_Award_for_Best_Actor_in_a_Play", "award_winner", "Derek_Jacobi" ], [ "Tony_Award_for_Best_Actor_in_a_Play", "award_winner", "Hal_Holbrook" ], [ "Tony_Award_for_Best_Actor_in_a_Play", "award_winner", "Ian_McKellen" ], [ "Tony_Award_for_Best_Actor_in_a_Play", "award_winner", "James_Earl_Jones" ], [ "Ukraine", "taxonomy", "Library_of_Congress_Classification" ], [ "Victor_Garber", "award", "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series" ], [ "Victor_Garber", "award", "Tony_Award_for_Best_Actor_in_a_Play" ], [ "Washington,_D.C.", "taxonomy", "Library_of_Congress_Classification" ], [ "William_Shatner", "award", "Primetime_Emmy_Award_for_Outstanding_Guest_Actor_-_Comedy_Series" ], [ "William_Shatner", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Male_Actor_in_a_Drama_Series" ], [ "William_Shatner", "award", "Screen_Actors_Guild_Award_for_Outstanding_Performance_by_an_Ensemble_in_a_Drama_Series" ] ] }
FB15k-237
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 1516, 37th_Golden_Globe_Awards 7237, 57th_Golden_Globe_Awards 8107, Abraham_Lincoln:_Vampire_Hunter 1513, Alan_Tudyk 10611, American_Beauty 9440, Miss_Golden_Globe 1190, Peter_Fonda 12473, Roger_Moore src, edge_attr, dst 1516, award_winner, 12473 7237, award_winner, 1190 7237, honored_for, 10611 1513, acted_in, 8107 1513, award_nominee, 1190 9440, ceremony, 1516 9440, ceremony, 7237 1190, award_nominee, 1513 Question: How are Abraham_Lincoln:_Vampire_Hunter, American_Beauty, and Roger_Moore related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Abraham_Lincoln:_Vampire_Hunter", "American_Beauty", "Roger_Moore" ], "valid_edges": [ [ "37th_Golden_Globe_Awards", "award_winner", "Roger_Moore" ], [ "57th_Golden_Globe_Awards", "award_winner", "Peter_Fonda" ], [ "57th_Golden_Globe_Awards", "honored_for", "American_Beauty" ], [ "Alan_Tudyk", "acted_in", "Abraham_Lincoln:_Vampire_Hunter" ], [ "Alan_Tudyk", "award_nominee", "Peter_Fonda" ], [ "Miss_Golden_Globe", "ceremony", "37th_Golden_Globe_Awards" ], [ "Miss_Golden_Globe", "ceremony", "57th_Golden_Globe_Awards" ], [ "Peter_Fonda", "award_nominee", "Alan_Tudyk" ] ] }