tangyx/MetaQA_overall · Datasets at Hugging Face

data_source stringclasses 1 value	prompt stringlengths 1.02k 13.9k	ability stringclasses 1 value	reward_model dict	extra_info dict
metaqa	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 36212, DRAMA 16138, JACOB GENTRY 6180, LOVE STORY 19613, MICHAEL HALL D'ADDARIO 19916, MONSIEUR LAZHAR 31312, PEOPLE LIKE US 28095, THE SIGNAL src, edge_attr, dst 6180, has_genre, 36212 19916, has_genre, 36212 31312, has_genre, 36212 31312, has_tags, 36212 31312, starred_actors, 19613 28095, directed_by, 16138 28095, has_tags, 6180 28095, written_by, 16138 Question: For what reason are JACOB GENTRY, MICHAEL HALL D'ADDARIO, and MONSIEUR LAZHAR associated? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "JACOB GENTRY", "MICHAEL HALL D'ADDARIO", "MONSIEUR LAZHAR" ], "valid_edges": [ [ "LOVE STORY", "has_genre", "DRAMA" ], [ "MONSIEUR LAZHAR", "has_genre", "DRAMA" ], [ "PEOPLE LIKE US", "has_genre", "DRAMA" ], [ "PEOPLE LIKE US", "has_tags", "DRAMA" ], [ "PEOPLE LIKE US", "starred_actors", "MICHAEL HALL D'ADDARIO" ], [ "THE SIGNAL", "directed_by", "JACOB GENTRY" ], [ "THE SIGNAL", "has_tags", "LOVE STORY" ], [ "THE SIGNAL", "written_by", "JACOB GENTRY" ] ] }
metaqa	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 8486, 1999 17254, AMERICAN BEAUTY 30463, COMEDY 7373, DALE VAN EVERY 36212, DRAMA 9624, IT'S A BOY GIRL THING 1555, LITTLE BLACK BOOK 5252, MID-LIFE CRISIS 37544, NICK HURRAN 3627, THE TALK OF THE TOWN 5147, VIRTUAL SEXUALITY src, edge_attr, dst 17254, has_genre, 36212 17254, has_tags, 36212 17254, has_tags, 5252 17254, release_year, 8486 9624, directed_by, 37544 9624, has_genre, 30463 1555, directed_by, 37544 1555, has_genre, 30463 3627, has_genre, 30463 3627, has_genre, 36212 3627, written_by, 7373 5147, directed_by, 37544 5147, release_year, 8486 Question: How are DALE VAN EVERY, MID-LIFE CRISIS, and NICK HURRAN related? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "DALE VAN EVERY", "MID-LIFE CRISIS", "NICK HURRAN" ], "valid_edges": [ [ "AMERICAN BEAUTY", "has_genre", "DRAMA" ], [ "AMERICAN BEAUTY", "has_tags", "DRAMA" ], [ "AMERICAN BEAUTY", "has_tags", "MID-LIFE CRISIS" ], [ "AMERICAN BEAUTY", "release_year", "1999" ], [ "IT'S A BOY GIRL THING", "directed_by", "NICK HURRAN" ], [ "IT'S A BOY GIRL THING", "has_genre", "COMEDY" ], [ "LITTLE BLACK BOOK", "directed_by", "NICK HURRAN" ], [ "LITTLE BLACK BOOK", "has_genre", "COMEDY" ], [ "THE TALK OF THE TOWN", "has_genre", "COMEDY" ], [ "THE TALK OF THE TOWN", "has_genre", "DRAMA" ], [ "THE TALK OF THE TOWN", "written_by", "DALE VAN EVERY" ], [ "VIRTUAL SEXUALITY", "directed_by", "NICK HURRAN" ], [ "VIRTUAL SEXUALITY", "release_year", "1999" ] ] }
metaqa	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, 2000 20719, A TIME FOR DRUNKEN HORSES 23160, BELLY 32815, BLACKBOARDS 36212, DRAMA 35079, HYPE WILLIAMS 15321, JUN FALKENSTEIN 13725, KURDISH 37753, THE TIGGER MOVIE 23247, TRIAGE 29947, TURTLES CAN FLY 22214, WAR src, edge_attr, dst 20719, has_genre, 22214 20719, in_language, 13725 20719, release_year, 6776 23160, directed_by, 35079 23160, has_genre, 36212 23160, written_by, 35079 32815, has_genre, 22214 32815, in_language, 13725 32815, release_year, 6776 37753, directed_by, 15321 37753, release_year, 6776 37753, written_by, 15321 23247, has_genre, 36212 23247, has_genre, 22214 23247, in_language, 13725 29947, has_genre, 36212 29947, has_genre, 22214 29947, in_language, 13725 Question: For what reason are HYPE WILLIAMS, JUN FALKENSTEIN, and KURDISH associated? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "HYPE WILLIAMS", "JUN FALKENSTEIN", "KURDISH" ], "valid_edges": [ [ "A TIME FOR DRUNKEN HORSES", "has_genre", "WAR" ], [ "A TIME FOR DRUNKEN HORSES", "in_language", "KURDISH" ], [ "A TIME FOR DRUNKEN HORSES", "release_year", "2000" ], [ "BELLY", "directed_by", "HYPE WILLIAMS" ], [ "BELLY", "has_genre", "DRAMA" ], [ "BELLY", "written_by", "HYPE WILLIAMS" ], [ "BLACKBOARDS", "has_genre", "WAR" ], [ "BLACKBOARDS", "in_language", "KURDISH" ], [ "BLACKBOARDS", "release_year", "2000" ], [ "THE TIGGER MOVIE", "directed_by", "JUN FALKENSTEIN" ], [ "THE TIGGER MOVIE", "release_year", "2000" ], [ "THE TIGGER MOVIE", "written_by", "JUN FALKENSTEIN" ], [ "TRIAGE", "has_genre", "DRAMA" ], [ "TRIAGE", "has_genre", "WAR" ], [ "TRIAGE", "in_language", "KURDISH" ], [ "TURTLES CAN FLY", "has_genre", "DRAMA" ], [ "TURTLES CAN FLY", "has_genre", "WAR" ], [ "TURTLES CAN FLY", "in_language", "KURDISH" ] ] }
metaqa	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 4981, 1965 11832, A CHARLIE BROWN CHRISTMAS 6718, A FAREWELL TO ARMS 12649, A LITTLE ROMANCE 8221, A MAN ESCAPED 24319, A PASSAGE TO INDIA 4763, ADVENTURE 16054, ADVENTURES IN BABYSITTING 10341, ADVENTURES OF DON JUAN 28463, AFTER THE FOX 26641, ALBERT CAMUS 29638, ALICE IN WONDERLAND 13573, ANNA CHRISTIE 17157, ARABIAN NIGHTS 34734, BATTLE OF THE BULGE 10045, BD-R 38657, BEAT THE DEVIL 4592, BEAU TRAVAIL 15771, BENGAZI 27938, BRIGITTE BARDOT 21584, BUNNY LAKE IS MISSING 1040, CAPTAIN BLOOD 5840, CERTIFIED COPY 6903, CHARIOTS OF FIRE 25344, CONFIDENTIALLY YOURS 34792, CONTEMPT 16536, CYRANO DE BERGERAC 23205, DARLING 21286, DAVID COPPERFIELD 23396, DIAL M FOR MURDER 11249, DIARY OF A COUNTRY PRIEST 16041, DJANGO UNCHAINED 5881, ELEPHANT BOY 31783, ENGLISH 24540, EYES WITHOUT A FACE 819, FIST OF THE NORTH STAR 26308, FLIPPER 6012, FRENCH 9003, FUNNY GAMES 5527, GIGI 17384, GUNGA DIN 20941, HAMLET 15896, HOW TO STUFF A WILD BIKINI 12087, HOWL'S MOVING CASTLE 26383, I CONFESS 27285, I WAS A MALE WAR BRIDE 7539, IVANHOE 847, JACK THE GIANT KILLER 21922, JANE EYRE 2527, JEANNE MOREAU 803, JERRY LEWIS 20567, JOHN CARTER 35705, JOURNEY TO THE CENTER OF THE EARTH 38986, JUNGLE BOOK 19098, KING KONG 14209, KING OF HEARTS 14156, KING SOLOMON'S MINES 26649, KISMET 37100, KNIGHTS OF THE ROUND TABLE 33519, LA HAINE 36940, LABYRINTH 30029, LAWRENCE OF ARABIA 35149, LE BEAU SERGE 39572, LES COUSINS 30157, LOLA 32275, LORD OF THE FLIES 14433, LOUIS MALLE 27050, MAN OF LA MANCHA 20579, MARAT/SADE 16925, MAYERLING 6543, MODEL SHOP 31657, MON ONCLE 31661, MY FAIR LADY 12358, MY FAVORITE SEASON 14797, O BROTHER, WHERE ART THOU? 27496, ONE MILLION YEARS B.C. 36988, OPERATION CROSSBOW 29693, PICKPOCKET 33032, PORT OF SHADOWS 15651, PREHISTORIC WOMEN 24745, PURPLE NOON 5897, REPULSION 15938, RIFIFI 15873, ROBIN AND MARIAN 2738, ROMEO AND JULIET 35586, SAHARA 6603, SEX IS COMEDY 27626, SHEENA 31316, SHERLOCK HOLMES AND THE SECRET WEAPON 8436, SPIRITS OF THE DEAD 15194, STORY OF WOMEN 11699, TARZAN THE APE MAN 18715, TARZAN'S NEW YORK ADVENTURE 21608, THE ADVENTURES OF HUCKLEBERRY FINN 24625, THE APARTMENT 15003, THE BATTLE OF ALGIERS 37980, THE BEDFORD INCIDENT 34737, THE BRIDE WORE BLACK 3354, THE BROTHERS GRIMM 18855, THE CADDY 14222, THE CANTERVILLE GHOST 7639, THE CHARGE OF THE LIGHT BRIGADE 18651, THE CORSICAN BROTHERS 21330, THE CRIMSON PIRATE 24990, THE CURSE OF FRANKENSTEIN 16800, THE DECEIVERS 39794, THE DISORDERLY ORDERLY 15154, THE FAMILY JEWELS 38631, THE FLAME AND THE ARROW 11635, THE FOUR FEATHERS 9166, THE GUNS OF NAVARONE 15600, THE HALLELUJAH TRAIL 38257, THE HAPPY TIME 15198, THE HUNCHBACK OF NOTRE DAME 25529, THE ILLUSIONIST 6836, THE IMMORTAL STORY 4091, THE LADY VANISHES 32231, THE LAND THAT TIME FORGOT 31569, THE LOVE PARADE 34018, THE LOVED ONE 4182, THE MAN IN THE IRON MASK 33513, THE MAN WHO LOVED WOMEN 13295, THE MARK OF ZORRO 4029, THE MASK OF FU MANCHU 2432, THE MASTER OF BALLANTRAE 32297, THE MERRY WIDOW 26820, THE MUMMY 1295, THE NUTTY PROFESSOR 5575, THE PEOPLE THAT TIME FORGOT 24512, THE PHANTOM TOLLBOOTH 22486, THE PRINCE AND THE PAUPER 31851, THE PRISONER OF ZENDA 18274, THE ROSE TATTOO 8477, THE SCARLET PIMPERNEL 11265, THE SEA HAWK 30746, THE SECRET LIFE OF WALTER MITTY 25495, THE SHOP ON MAIN STREET 8304, THE SILVER CHALICE 31647, THE SON OF THE SHEIK 34579, THE SPY WHO CAME IN FROM THE COLD 17143, THE STRANGER 7816, THE THREE MUSKETEERS 38808, THE TRAIN 983, THE TREASURE OF THE SIERRA MADRE 30491, THE TRIAL 13722, THE TRIAL OF JOAN OF ARC 29678, THE UMBRELLAS OF CHERBOURG 19255, THE VALACHI PAPERS 17568, THE VANISHING 12308, THE VIKINGS 27609, THE WIND AND THE LION 14471, THIS HAPPY BREED 24789, TO HAVE AND HAVE NOT 25443, TOM JONES 6724, TOM SAWYER 3029, TRIPLE CROSS 4378, VICTIM 30965, VILLAGE OF THE GIANTS 11659, VIVA MARIA! 22844, WENT THE DAY WELL? 35212, WHO'S AFRAID OF VIRGINIA WOOLF? 6037, WITCHFINDER GENERAL 38760, Z 23675, ZERO FOR CONDUCT src, edge_attr, dst 11832, has_tags, 10045 11832, release_year, 4981 6718, has_tags, 10045 6718, in_language, 31783 12649, has_tags, 10045 12649, in_language, 6012 8221, has_tags, 10045 8221, has_tags, 6012 8221, in_language, 6012 24319, has_tags, 10045 24319, in_language, 31783 16054, has_genre, 4763 16054, has_tags, 4763 16054, has_tags, 10045 10341, has_genre, 4763 10341, has_tags, 10045 28463, has_tags, 10045 28463, in_language, 31783 29638, has_genre, 4763 29638, has_tags, 10045 29638, in_language, 31783 13573, has_tags, 10045 13573, in_language, 31783 17157, has_genre, 4763 17157, has_tags, 10045 34734, has_tags, 10045 34734, release_year, 4981 38657, has_genre, 4763 38657, has_tags, 10045 4592, has_tags, 10045 4592, in_language, 6012 15771, has_genre, 4763 15771, has_tags, 10045 21584, has_tags, 10045 21584, release_year, 4981 1040, has_genre, 4763 1040, has_tags, 4763 1040, has_tags, 10045 5840, in_language, 31783 5840, in_language, 6012 6903, has_tags, 10045 6903, in_language, 31783 25344, has_tags, 10045 25344, in_language, 6012 34792, has_tags, 10045 34792, starred_actors, 27938 16536, has_tags, 10045 16536, has_tags, 6012 16536, in_language, 31783 16536, in_language, 6012 23205, has_tags, 10045 23205, release_year, 4981 21286, has_genre, 4763 21286, has_tags, 10045 23396, has_tags, 10045 23396, in_language, 31783 11249, has_tags, 10045 11249, in_language, 6012 16041, has_tags, 10045 16041, in_language, 31783 5881, has_genre, 4763 5881, has_tags, 10045 24540, has_tags, 10045 24540, in_language, 6012 819, has_tags, 10045 819, in_language, 31783 26308, has_genre, 4763 26308, has_tags, 10045 9003, has_tags, 10045 9003, in_language, 31783 5527, has_tags, 10045 5527, in_language, 31783 5527, in_language, 6012 17384, has_genre, 4763 17384, has_tags, 10045 20941, has_tags, 10045 20941, in_language, 31783 15896, has_tags, 10045 15896, release_year, 4981 12087, has_genre, 4763 12087, has_tags, 4763 12087, has_tags, 10045 26383, has_tags, 10045 26383, in_language, 6012 27285, has_tags, 10045 27285, in_language, 6012 7539, has_genre, 4763 7539, has_tags, 10045 847, has_genre, 4763 847, has_tags, 10045 847, in_language, 31783 21922, has_tags, 10045 21922, in_language, 31783 21922, in_language, 6012 20567, has_genre, 4763 20567, has_tags, 10045 35705, has_genre, 4763 35705, has_tags, 4763 35705, has_tags, 10045 38986, has_genre, 4763 38986, has_tags, 10045 19098, has_genre, 4763 19098, has_tags, 4763 19098, has_tags, 10045 14209, has_tags, 10045 14209, in_language, 6012 14156, has_genre, 4763 14156, has_tags, 4763 14156, has_tags, 10045 26649, has_tags, 10045 26649, in_language, 31783 37100, has_genre, 4763 37100, has_tags, 10045 33519, has_tags, 10045 33519, has_tags, 6012 33519, in_language, 6012 36940, has_genre, 4763 36940, has_tags, 4763 36940, has_tags, 10045 30029, has_genre, 4763 30029, has_tags, 10045 35149, has_tags, 10045 35149, in_language, 6012 39572, has_tags, 10045 39572, in_language, 6012 30157, has_tags, 10045 30157, in_language, 6012 32275, has_tags, 10045 32275, in_language, 31783 27050, has_tags, 10045 27050, in_language, 31783 20579, has_tags, 10045 20579, in_language, 31783 16925, has_tags, 10045 16925, in_language, 31783 16925, in_language, 6012 6543, has_tags, 10045 6543, in_language, 31783 31657, has_tags, 10045 31657, in_language, 6012 31661, has_tags, 10045 31661, in_language, 31783 12358, has_tags, 10045 12358, in_language, 6012 14797, has_genre, 4763 14797, has_tags, 4763 14797, has_tags, 10045 27496, has_genre, 4763 27496, has_tags, 10045 36988, has_tags, 10045 36988, release_year, 4981 29693, has_tags, 10045 29693, in_language, 6012 33032, has_tags, 10045 33032, in_language, 6012 15651, has_genre, 4763 15651, has_tags, 10045 24745, has_tags, 10045 24745, in_language, 6012 5897, has_tags, 10045 5897, in_language, 31783 5897, release_year, 4981 15938, has_tags, 10045 15938, in_language, 6012 15873, has_genre, 4763 15873, has_tags, 10045 2738, has_tags, 10045 2738, in_language, 31783 35586, has_genre, 4763 35586, has_tags, 10045 6603, has_tags, 10045 6603, in_language, 6012 27626, has_genre, 4763 27626, has_tags, 10045 31316, has_genre, 4763 31316, has_tags, 10045 8436, directed_by, 14433 8436, has_tags, 10045 8436, in_language, 31783 8436, in_language, 6012 8436, starred_actors, 27938 8436, written_by, 14433 15194, has_tags, 10045 15194, in_language, 6012 11699, has_genre, 4763 11699, has_tags, 10045 18715, has_genre, 4763 18715, has_tags, 10045 21608, has_genre, 4763 21608, has_tags, 10045 24625, has_tags, 10045 24625, in_language, 6012 15003, has_tags, 10045 15003, has_tags, 6012 15003, in_language, 6012 37980, has_tags, 10045 37980, release_year, 4981 34737, has_tags, 10045 34737, in_language, 6012 34737, starred_actors, 2527 3354, has_genre, 4763 3354, has_tags, 4763 3354, has_tags, 10045 3354, in_language, 6012 18855, has_tags, 10045 18855, starred_actors, 803 14222, has_tags, 10045 14222, in_language, 31783 7639, has_genre, 4763 7639, has_tags, 10045 18651, has_tags, 10045 18651, in_language, 31783 21330, has_genre, 4763 21330, has_tags, 10045 24990, has_tags, 10045 24990, in_language, 31783 16800, has_genre, 4763 16800, has_tags, 10045 39794, starred_actors, 803 15154, directed_by, 803 15154, release_year, 4981 15154, starred_actors, 803 15154, written_by, 803 38631, has_genre, 4763 38631, has_tags, 10045 11635, has_genre, 4763 11635, has_tags, 10045 9166, has_genre, 4763 9166, has_tags, 10045 15600, has_tags, 10045 15600, release_year, 4981 38257, has_tags, 10045 38257, in_language, 6012 15198, has_tags, 10045 15198, in_language, 31783 15198, in_language, 6012 25529, has_tags, 10045 25529, in_language, 6012 6836, has_tags, 10045 6836, in_language, 6012 6836, starred_actors, 2527 4091, has_tags, 10045 4091, in_language, 31783 32231, has_genre, 4763 32231, has_tags, 4763 32231, has_tags, 10045 31569, has_tags, 10045 31569, in_language, 6012 34018, has_tags, 10045 34018, release_year, 4981 4182, has_genre, 4763 4182, has_tags, 4763 4182, has_tags, 10045 33513, has_tags, 10045 33513, in_language, 6012 13295, has_genre, 4763 13295, has_tags, 10045 4029, has_genre, 4763 4029, has_tags, 10045 2432, has_genre, 4763 2432, has_tags, 10045 32297, has_tags, 10045 32297, in_language, 6012 26820, has_genre, 4763 26820, has_tags, 4763 26820, has_tags, 10045 1295, directed_by, 803 1295, has_tags, 10045 1295, has_tags, 803 1295, starred_actors, 803 1295, written_by, 803 5575, has_genre, 4763 5575, has_tags, 10045 24512, has_genre, 4763 24512, has_tags, 10045 22486, has_genre, 4763 22486, has_tags, 10045 31851, has_genre, 4763 31851, has_tags, 10045 18274, has_tags, 10045 18274, in_language, 31783 8477, has_genre, 4763 8477, has_tags, 10045 8477, in_language, 31783 8477, in_language, 6012 11265, has_tags, 10045 11265, in_language, 31783 30746, has_genre, 4763 30746, has_tags, 10045 30746, in_language, 31783 25495, has_tags, 10045 25495, release_year, 4981 8304, has_tags, 10045 8304, in_language, 31783 31647, has_genre, 4763 31647, has_tags, 10045 34579, has_tags, 10045 34579, in_language, 31783 34579, release_year, 4981 17143, has_tags, 10045 17143, written_by, 26641 7816, has_genre, 4763 7816, has_tags, 10045 38808, has_tags, 10045 38808, starred_actors, 2527 983, has_genre, 4763 983, has_tags, 10045 983, in_language, 31783 30491, has_tags, 10045 30491, starred_actors, 2527 13722, has_tags, 10045 13722, in_language, 6012 29678, has_tags, 10045 29678, has_tags, 6012 29678, in_language, 6012 19255, has_tags, 10045 19255, in_language, 31783 17568, has_tags, 10045 17568, in_language, 31783 17568, in_language, 6012 12308, has_genre, 4763 12308, has_tags, 10045 27609, has_genre, 4763 27609, has_tags, 10045 14471, has_tags, 10045 14471, in_language, 31783 24789, has_genre, 4763 24789, has_tags, 10045 25443, has_genre, 4763 25443, has_tags, 10045 6724, has_genre, 4763 6724, has_tags, 10045 3029, has_tags, 10045 3029, in_language, 6012 4378, has_tags, 10045 4378, in_language, 31783 30965, has_tags, 10045 30965, release_year, 4981 11659, directed_by, 14433 11659, has_genre, 4763 11659, has_tags, 10045 11659, has_tags, 27938 11659, has_tags, 6012 11659, has_tags, 2527 11659, has_tags, 14433 11659, in_language, 31783 11659, in_language, 6012 11659, release_year, 4981 11659, starred_actors, 27938 11659, starred_actors, 2527 11659, written_by, 14433 22844, has_tags, 10045 22844, in_language, 31783 35212, has_tags, 10045 35212, in_language, 31783 6037, has_tags, 10045 6037, in_language, 31783 38760, has_tags, 10045 38760, in_language, 6012 23675, has_tags, 10045 23675, has_tags, 6012 23675, in_language, 6012 Question: In what context are ALBERT CAMUS, THE DISORDERLY ORDERLY, and VIVA MARIA! connected? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "ALBERT CAMUS", "THE DISORDERLY ORDERLY", "VIVA MARIA!" ], "valid_edges": [ [ "A CHARLIE BROWN CHRISTMAS", "has_tags", "BD-R" ], [ "A CHARLIE BROWN CHRISTMAS", "release_year", "1965" ], [ "A FAREWELL TO ARMS", "has_tags", "BD-R" ], [ "A FAREWELL TO ARMS", "in_language", "ENGLISH" ], [ "A LITTLE ROMANCE", "has_tags", "BD-R" ], [ "A LITTLE ROMANCE", "in_language", "FRENCH" ], [ "A MAN ESCAPED", "has_tags", "BD-R" ], [ "A MAN ESCAPED", "has_tags", "FRENCH" ], [ "A MAN ESCAPED", "in_language", "FRENCH" ], [ "A PASSAGE TO INDIA", "has_tags", "BD-R" ], [ "A PASSAGE TO INDIA", "in_language", "ENGLISH" ], [ "ADVENTURES IN BABYSITTING", "has_genre", "ADVENTURE" ], [ "ADVENTURES IN BABYSITTING", "has_tags", "ADVENTURE" ], [ "ADVENTURES IN BABYSITTING", "has_tags", "BD-R" ], [ "ADVENTURES OF DON JUAN", "has_genre", "ADVENTURE" ], [ "ADVENTURES OF DON JUAN", "has_tags", "BD-R" ], [ "AFTER THE FOX", "has_tags", "BD-R" ], [ "AFTER THE FOX", "in_language", "ENGLISH" ], [ "ALICE IN WONDERLAND", "has_genre", "ADVENTURE" ], [ "ALICE IN WONDERLAND", "has_tags", "BD-R" ], [ "ALICE IN WONDERLAND", "in_language", "ENGLISH" ], [ "ANNA CHRISTIE", "has_tags", "BD-R" ], [ "ANNA CHRISTIE", "in_language", "ENGLISH" ], [ "ARABIAN NIGHTS", "has_genre", "ADVENTURE" ], [ "ARABIAN NIGHTS", "has_tags", "BD-R" ], [ "BATTLE OF THE BULGE", "has_tags", "BD-R" ], [ "BATTLE OF THE BULGE", "release_year", "1965" ], [ "BEAT THE DEVIL", "has_genre", "ADVENTURE" ], [ "BEAT THE DEVIL", "has_tags", "BD-R" ], [ "BEAU TRAVAIL", "has_tags", "BD-R" ], [ "BEAU TRAVAIL", "in_language", "FRENCH" ], [ "BENGAZI", "has_genre", "ADVENTURE" ], [ "BENGAZI", "has_tags", "BD-R" ], [ "BUNNY LAKE IS MISSING", "has_tags", "BD-R" ], [ "BUNNY LAKE IS MISSING", "release_year", "1965" ], [ "CAPTAIN BLOOD", "has_genre", "ADVENTURE" ], [ "CAPTAIN BLOOD", "has_tags", "ADVENTURE" ], [ "CAPTAIN BLOOD", "has_tags", "BD-R" ], [ "CERTIFIED COPY", "in_language", "ENGLISH" ], [ "CERTIFIED COPY", "in_language", "FRENCH" ], [ "CHARIOTS OF FIRE", "has_tags", "BD-R" ], [ "CHARIOTS OF FIRE", "in_language", "ENGLISH" ], [ "CONFIDENTIALLY YOURS", "has_tags", "BD-R" ], [ "CONFIDENTIALLY YOURS", "in_language", "FRENCH" ], [ "CONTEMPT", "has_tags", "BD-R" ], [ "CONTEMPT", "starred_actors", "BRIGITTE BARDOT" ], [ "CYRANO DE BERGERAC", "has_tags", "BD-R" ], [ "CYRANO DE BERGERAC", "has_tags", "FRENCH" ], [ "CYRANO DE BERGERAC", "in_language", "ENGLISH" ], [ "CYRANO DE BERGERAC", "in_language", "FRENCH" ], [ "DARLING", "has_tags", "BD-R" ], [ "DARLING", "release_year", "1965" ], [ "DAVID COPPERFIELD", "has_genre", "ADVENTURE" ], [ "DAVID COPPERFIELD", "has_tags", "BD-R" ], [ "DIAL M FOR MURDER", "has_tags", "BD-R" ], [ "DIAL M FOR MURDER", "in_language", "ENGLISH" ], [ "DIARY OF A COUNTRY PRIEST", "has_tags", "BD-R" ], [ "DIARY OF A COUNTRY PRIEST", "in_language", "FRENCH" ], [ "DJANGO UNCHAINED", "has_tags", "BD-R" ], [ "DJANGO UNCHAINED", "in_language", "ENGLISH" ], [ "ELEPHANT BOY", "has_genre", "ADVENTURE" ], [ "ELEPHANT BOY", "has_tags", "BD-R" ], [ "EYES WITHOUT A FACE", "has_tags", "BD-R" ], [ "EYES WITHOUT A FACE", "in_language", "FRENCH" ], [ "FIST OF THE NORTH STAR", "has_tags", "BD-R" ], [ "FIST OF THE NORTH STAR", "in_language", "ENGLISH" ], [ "FLIPPER", "has_genre", "ADVENTURE" ], [ "FLIPPER", "has_tags", "BD-R" ], [ "FUNNY GAMES", "has_tags", "BD-R" ], [ "FUNNY GAMES", "in_language", "ENGLISH" ], [ "GIGI", "has_tags", "BD-R" ], [ "GIGI", "in_language", "ENGLISH" ], [ "GIGI", "in_language", "FRENCH" ], [ "GUNGA DIN", "has_genre", "ADVENTURE" ], [ "GUNGA DIN", "has_tags", "BD-R" ], [ "HAMLET", "has_tags", "BD-R" ], [ "HAMLET", "in_language", "ENGLISH" ], [ "HOW TO STUFF A WILD BIKINI", "has_tags", "BD-R" ], [ "HOW TO STUFF A WILD BIKINI", "release_year", "1965" ], [ "HOWL'S MOVING CASTLE", "has_genre", "ADVENTURE" ], [ "HOWL'S MOVING CASTLE", "has_tags", "ADVENTURE" ], [ "HOWL'S MOVING CASTLE", "has_tags", "BD-R" ], [ "I CONFESS", "has_tags", "BD-R" ], [ "I CONFESS", "in_language", "FRENCH" ], [ "I WAS A MALE WAR BRIDE", "has_tags", "BD-R" ], [ "I WAS A MALE WAR BRIDE", "in_language", "FRENCH" ], [ "IVANHOE", "has_genre", "ADVENTURE" ], [ "IVANHOE", "has_tags", "BD-R" ], [ "JACK THE GIANT KILLER", "has_genre", "ADVENTURE" ], [ "JACK THE GIANT KILLER", "has_tags", "BD-R" ], [ "JACK THE GIANT KILLER", "in_language", "ENGLISH" ], [ "JANE EYRE", "has_tags", "BD-R" ], [ "JANE EYRE", "in_language", "ENGLISH" ], [ "JANE EYRE", "in_language", "FRENCH" ], [ "JOHN CARTER", "has_genre", "ADVENTURE" ], [ "JOHN CARTER", "has_tags", "BD-R" ], [ "JOURNEY TO THE CENTER OF THE EARTH", "has_genre", "ADVENTURE" ], [ "JOURNEY TO THE CENTER OF THE EARTH", "has_tags", "ADVENTURE" ], [ "JOURNEY TO THE CENTER OF THE EARTH", "has_tags", "BD-R" ], [ "JUNGLE BOOK", "has_genre", "ADVENTURE" ], [ "JUNGLE BOOK", "has_tags", "BD-R" ], [ "KING KONG", "has_genre", "ADVENTURE" ], [ "KING KONG", "has_tags", "ADVENTURE" ], [ "KING KONG", "has_tags", "BD-R" ], [ "KING OF HEARTS", "has_tags", "BD-R" ], [ "KING OF HEARTS", "in_language", "FRENCH" ], [ "KING SOLOMON'S MINES", "has_genre", "ADVENTURE" ], [ "KING SOLOMON'S MINES", "has_tags", "ADVENTURE" ], [ "KING SOLOMON'S MINES", "has_tags", "BD-R" ], [ "KISMET", "has_tags", "BD-R" ], [ "KISMET", "in_language", "ENGLISH" ], [ "KNIGHTS OF THE ROUND TABLE", "has_genre", "ADVENTURE" ], [ "KNIGHTS OF THE ROUND TABLE", "has_tags", "BD-R" ], [ "LA HAINE", "has_tags", "BD-R" ], [ "LA HAINE", "has_tags", "FRENCH" ], [ "LA HAINE", "in_language", "FRENCH" ], [ "LABYRINTH", "has_genre", "ADVENTURE" ], [ "LABYRINTH", "has_tags", "ADVENTURE" ], [ "LABYRINTH", "has_tags", "BD-R" ], [ "LAWRENCE OF ARABIA", "has_genre", "ADVENTURE" ], [ "LAWRENCE OF ARABIA", "has_tags", "BD-R" ], [ "LE BEAU SERGE", "has_tags", "BD-R" ], [ "LE BEAU SERGE", "in_language", "FRENCH" ], [ "LES COUSINS", "has_tags", "BD-R" ], [ "LES COUSINS", "in_language", "FRENCH" ], [ "LOLA", "has_tags", "BD-R" ], [ "LOLA", "in_language", "FRENCH" ], [ "LORD OF THE FLIES", "has_tags", "BD-R" ], [ "LORD OF THE FLIES", "in_language", "ENGLISH" ], [ "MAN OF LA MANCHA", "has_tags", "BD-R" ], [ "MAN OF LA MANCHA", "in_language", "ENGLISH" ], [ "MARAT/SADE", "has_tags", "BD-R" ], [ "MARAT/SADE", "in_language", "ENGLISH" ], [ "MAYERLING", "has_tags", "BD-R" ], [ "MAYERLING", "in_language", "ENGLISH" ], [ "MAYERLING", "in_language", "FRENCH" ], [ "MODEL SHOP", "has_tags", "BD-R" ], [ "MODEL SHOP", "in_language", "ENGLISH" ], [ "MON ONCLE", "has_tags", "BD-R" ], [ "MON ONCLE", "in_language", "FRENCH" ], [ "MY FAIR LADY", "has_tags", "BD-R" ], [ "MY FAIR LADY", "in_language", "ENGLISH" ], [ "MY FAVORITE SEASON", "has_tags", "BD-R" ], [ "MY FAVORITE SEASON", "in_language", "FRENCH" ], [ "O BROTHER, WHERE ART THOU?", "has_genre", "ADVENTURE" ], [ "O BROTHER, WHERE ART THOU?", "has_tags", "ADVENTURE" ], [ "O BROTHER, WHERE ART THOU?", "has_tags", "BD-R" ], [ "ONE MILLION YEARS B.C.", "has_genre", "ADVENTURE" ], [ "ONE MILLION YEARS B.C.", "has_tags", "BD-R" ], [ "OPERATION CROSSBOW", "has_tags", "BD-R" ], [ "OPERATION CROSSBOW", "release_year", "1965" ], [ "PICKPOCKET", "has_tags", "BD-R" ], [ "PICKPOCKET", "in_language", "FRENCH" ], [ "PORT OF SHADOWS", "has_tags", "BD-R" ], [ "PORT OF SHADOWS", "in_language", "FRENCH" ], [ "PREHISTORIC WOMEN", "has_genre", "ADVENTURE" ], [ "PREHISTORIC WOMEN", "has_tags", "BD-R" ], [ "PURPLE NOON", "has_tags", "BD-R" ], [ "PURPLE NOON", "in_language", "FRENCH" ], [ "REPULSION", "has_tags", "BD-R" ], [ "REPULSION", "in_language", "ENGLISH" ], [ "REPULSION", "release_year", "1965" ], [ "RIFIFI", "has_tags", "BD-R" ], [ "RIFIFI", "in_language", "FRENCH" ], [ "ROBIN AND MARIAN", "has_genre", "ADVENTURE" ], [ "ROBIN AND MARIAN", "has_tags", "BD-R" ], [ "ROMEO AND JULIET", "has_tags", "BD-R" ], [ "ROMEO AND JULIET", "in_language", "ENGLISH" ], [ "SAHARA", "has_genre", "ADVENTURE" ], [ "SAHARA", "has_tags", "BD-R" ], [ "SEX IS COMEDY", "has_tags", "BD-R" ], [ "SEX IS COMEDY", "in_language", "FRENCH" ], [ "SHEENA", "has_genre", "ADVENTURE" ], [ "SHEENA", "has_tags", "BD-R" ], [ "SHERLOCK HOLMES AND THE SECRET WEAPON", "has_genre", "ADVENTURE" ], [ "SHERLOCK HOLMES AND THE SECRET WEAPON", "has_tags", "BD-R" ], [ "SPIRITS OF THE DEAD", "directed_by", "LOUIS MALLE" ], [ "SPIRITS OF THE DEAD", "has_tags", "BD-R" ], [ "SPIRITS OF THE DEAD", "in_language", "ENGLISH" ], [ "SPIRITS OF THE DEAD", "in_language", "FRENCH" ], [ "SPIRITS OF THE DEAD", "starred_actors", "BRIGITTE BARDOT" ], [ "SPIRITS OF THE DEAD", "written_by", "LOUIS MALLE" ], [ "STORY OF WOMEN", "has_tags", "BD-R" ], [ "STORY OF WOMEN", "in_language", "FRENCH" ], [ "TARZAN THE APE MAN", "has_genre", "ADVENTURE" ], [ "TARZAN THE APE MAN", "has_tags", "BD-R" ], [ "TARZAN'S NEW YORK ADVENTURE", "has_genre", "ADVENTURE" ], [ "TARZAN'S NEW YORK ADVENTURE", "has_tags", "BD-R" ], [ "THE ADVENTURES OF HUCKLEBERRY FINN", "has_genre", "ADVENTURE" ], [ "THE ADVENTURES OF HUCKLEBERRY FINN", "has_tags", "BD-R" ], [ "THE APARTMENT", "has_tags", "BD-R" ], [ "THE APARTMENT", "in_language", "FRENCH" ], [ "THE BATTLE OF ALGIERS", "has_tags", "BD-R" ], [ "THE BATTLE OF ALGIERS", "has_tags", "FRENCH" ], [ "THE BATTLE OF ALGIERS", "in_language", "FRENCH" ], [ "THE BEDFORD INCIDENT", "has_tags", "BD-R" ], [ "THE BEDFORD INCIDENT", "release_year", "1965" ], [ "THE BRIDE WORE BLACK", "has_tags", "BD-R" ], [ "THE BRIDE WORE BLACK", "in_language", "FRENCH" ], [ "THE BRIDE WORE BLACK", "starred_actors", "JEANNE MOREAU" ], [ "THE BROTHERS GRIMM", "has_genre", "ADVENTURE" ], [ "THE BROTHERS GRIMM", "has_tags", "ADVENTURE" ], [ "THE BROTHERS GRIMM", "has_tags", "BD-R" ], [ "THE BROTHERS GRIMM", "in_language", "FRENCH" ], [ "THE CADDY", "has_tags", "BD-R" ], [ "THE CADDY", "starred_actors", "JERRY LEWIS" ], [ "THE CANTERVILLE GHOST", "has_tags", "BD-R" ], [ "THE CANTERVILLE GHOST", "in_language", "ENGLISH" ], [ "THE CHARGE OF THE LIGHT BRIGADE", "has_genre", "ADVENTURE" ], [ "THE CHARGE OF THE LIGHT BRIGADE", "has_tags", "BD-R" ], [ "THE CORSICAN BROTHERS", "has_tags", "BD-R" ], [ "THE CORSICAN BROTHERS", "in_language", "ENGLISH" ], [ "THE CRIMSON PIRATE", "has_genre", "ADVENTURE" ], [ "THE CRIMSON PIRATE", "has_tags", "BD-R" ], [ "THE CURSE OF FRANKENSTEIN", "has_tags", "BD-R" ], [ "THE CURSE OF FRANKENSTEIN", "in_language", "ENGLISH" ], [ "THE DECEIVERS", "has_genre", "ADVENTURE" ], [ "THE DECEIVERS", "has_tags", "BD-R" ], [ "THE DISORDERLY ORDERLY", "starred_actors", "JERRY LEWIS" ], [ "THE FAMILY JEWELS", "directed_by", "JERRY LEWIS" ], [ "THE FAMILY JEWELS", "release_year", "1965" ], [ "THE FAMILY JEWELS", "starred_actors", "JERRY LEWIS" ], [ "THE FAMILY JEWELS", "written_by", "JERRY LEWIS" ], [ "THE FLAME AND THE ARROW", "has_genre", "ADVENTURE" ], [ "THE FLAME AND THE ARROW", "has_tags", "BD-R" ], [ "THE FOUR FEATHERS", "has_genre", "ADVENTURE" ], [ "THE FOUR FEATHERS", "has_tags", "BD-R" ], [ "THE GUNS OF NAVARONE", "has_genre", "ADVENTURE" ], [ "THE GUNS OF NAVARONE", "has_tags", "BD-R" ], [ "THE HALLELUJAH TRAIL", "has_tags", "BD-R" ], [ "THE HALLELUJAH TRAIL", "release_year", "1965" ], [ "THE HAPPY TIME", "has_tags", "BD-R" ], [ "THE HAPPY TIME", "in_language", "FRENCH" ], [ "THE HUNCHBACK OF NOTRE DAME", "has_tags", "BD-R" ], [ "THE HUNCHBACK OF NOTRE DAME", "in_language", "ENGLISH" ], [ "THE HUNCHBACK OF NOTRE DAME", "in_language", "FRENCH" ], [ "THE ILLUSIONIST", "has_tags", "BD-R" ], [ "THE ILLUSIONIST", "in_language", "FRENCH" ], [ "THE IMMORTAL STORY", "has_tags", "BD-R" ], [ "THE IMMORTAL STORY", "in_language", "FRENCH" ], [ "THE IMMORTAL STORY", "starred_actors", "JEANNE MOREAU" ], [ "THE LADY VANISHES", "has_tags", "BD-R" ], [ "THE LADY VANISHES", "in_language", "ENGLISH" ], [ "THE LAND THAT TIME FORGOT", "has_genre", "ADVENTURE" ], [ "THE LAND THAT TIME FORGOT", "has_tags", "ADVENTURE" ], [ "THE LAND THAT TIME FORGOT", "has_tags", "BD-R" ], [ "THE LOVE PARADE", "has_tags", "BD-R" ], [ "THE LOVE PARADE", "in_language", "FRENCH" ], [ "THE LOVED ONE", "has_tags", "BD-R" ], [ "THE LOVED ONE", "release_year", "1965" ], [ "THE MAN IN THE IRON MASK", "has_genre", "ADVENTURE" ], [ "THE MAN IN THE IRON MASK", "has_tags", "ADVENTURE" ], [ "THE MAN IN THE IRON MASK", "has_tags", "BD-R" ], [ "THE MAN WHO LOVED WOMEN", "has_tags", "BD-R" ], [ "THE MAN WHO LOVED WOMEN", "in_language", "FRENCH" ], [ "THE MARK OF ZORRO", "has_genre", "ADVENTURE" ], [ "THE MARK OF ZORRO", "has_tags", "BD-R" ], [ "THE MASK OF FU MANCHU", "has_genre", "ADVENTURE" ], [ "THE MASK OF FU MANCHU", "has_tags", "BD-R" ], [ "THE MASTER OF BALLANTRAE", "has_genre", "ADVENTURE" ], [ "THE MASTER OF BALLANTRAE", "has_tags", "BD-R" ], [ "THE MERRY WIDOW", "has_tags", "BD-R" ], [ "THE MERRY WIDOW", "in_language", "FRENCH" ], [ "THE MUMMY", "has_genre", "ADVENTURE" ], [ "THE MUMMY", "has_tags", "ADVENTURE" ], [ "THE MUMMY", "has_tags", "BD-R" ], [ "THE NUTTY PROFESSOR", "directed_by", "JERRY LEWIS" ], [ "THE NUTTY PROFESSOR", "has_tags", "BD-R" ], [ "THE NUTTY PROFESSOR", "has_tags", "JERRY LEWIS" ], [ "THE NUTTY PROFESSOR", "starred_actors", "JERRY LEWIS" ], [ "THE NUTTY PROFESSOR", "written_by", "JERRY LEWIS" ], [ "THE PEOPLE THAT TIME FORGOT", "has_genre", "ADVENTURE" ], [ "THE PEOPLE THAT TIME FORGOT", "has_tags", "BD-R" ], [ "THE PHANTOM TOLLBOOTH", "has_genre", "ADVENTURE" ], [ "THE PHANTOM TOLLBOOTH", "has_tags", "BD-R" ], [ "THE PRINCE AND THE PAUPER", "has_genre", "ADVENTURE" ], [ "THE PRINCE AND THE PAUPER", "has_tags", "BD-R" ], [ "THE PRISONER OF ZENDA", "has_genre", "ADVENTURE" ], [ "THE PRISONER OF ZENDA", "has_tags", "BD-R" ], [ "THE ROSE TATTOO", "has_tags", "BD-R" ], [ "THE ROSE TATTOO", "in_language", "ENGLISH" ], [ "THE SCARLET PIMPERNEL", "has_genre", "ADVENTURE" ], [ "THE SCARLET PIMPERNEL", "has_tags", "BD-R" ], [ "THE SCARLET PIMPERNEL", "in_language", "ENGLISH" ], [ "THE SCARLET PIMPERNEL", "in_language", "FRENCH" ], [ "THE SEA HAWK", "has_tags", "BD-R" ], [ "THE SEA HAWK", "in_language", "ENGLISH" ], [ "THE SECRET LIFE OF WALTER MITTY", "has_genre", "ADVENTURE" ], [ "THE SECRET LIFE OF WALTER MITTY", "has_tags", "BD-R" ], [ "THE SECRET LIFE OF WALTER MITTY", "in_language", "ENGLISH" ], [ "THE SHOP ON MAIN STREET", "has_tags", "BD-R" ], [ "THE SHOP ON MAIN STREET", "release_year", "1965" ], [ "THE SILVER CHALICE", "has_tags", "BD-R" ], [ "THE SILVER CHALICE", "in_language", "ENGLISH" ], [ "THE SON OF THE SHEIK", "has_genre", "ADVENTURE" ], [ "THE SON OF THE SHEIK", "has_tags", "BD-R" ], [ "THE SPY WHO CAME IN FROM THE COLD", "has_tags", "BD-R" ], [ "THE SPY WHO CAME IN FROM THE COLD", "in_language", "ENGLISH" ], [ "THE SPY WHO CAME IN FROM THE COLD", "release_year", "1965" ], [ "THE STRANGER", "has_tags", "BD-R" ], [ "THE STRANGER", "written_by", "ALBERT CAMUS" ], [ "THE THREE MUSKETEERS", "has_genre", "ADVENTURE" ], [ "THE THREE MUSKETEERS", "has_tags", "BD-R" ], [ "THE TRAIN", "has_tags", "BD-R" ], [ "THE TRAIN", "starred_actors", "JEANNE MOREAU" ], [ "THE TREASURE OF THE SIERRA MADRE", "has_genre", "ADVENTURE" ], [ "THE TREASURE OF THE SIERRA MADRE", "has_tags", "BD-R" ], [ "THE TREASURE OF THE SIERRA MADRE", "in_language", "ENGLISH" ], [ "THE TRIAL", "has_tags", "BD-R" ], [ "THE TRIAL", "starred_actors", "JEANNE MOREAU" ], [ "THE TRIAL OF JOAN OF ARC", "has_tags", "BD-R" ], [ "THE TRIAL OF JOAN OF ARC", "in_language", "FRENCH" ], [ "THE UMBRELLAS OF CHERBOURG", "has_tags", "BD-R" ], [ "THE UMBRELLAS OF CHERBOURG", "has_tags", "FRENCH" ], [ "THE UMBRELLAS OF CHERBOURG", "in_language", "FRENCH" ], [ "THE VALACHI PAPERS", "has_tags", "BD-R" ], [ "THE VALACHI PAPERS", "in_language", "ENGLISH" ], [ "THE VANISHING", "has_tags", "BD-R" ], [ "THE VANISHING", "in_language", "ENGLISH" ], [ "THE VANISHING", "in_language", "FRENCH" ], [ "THE VIKINGS", "has_genre", "ADVENTURE" ], [ "THE VIKINGS", "has_tags", "BD-R" ], [ "THE WIND AND THE LION", "has_genre", "ADVENTURE" ], [ "THE WIND AND THE LION", "has_tags", "BD-R" ], [ "THIS HAPPY BREED", "has_tags", "BD-R" ], [ "THIS HAPPY BREED", "in_language", "ENGLISH" ], [ "TO HAVE AND HAVE NOT", "has_genre", "ADVENTURE" ], [ "TO HAVE AND HAVE NOT", "has_tags", "BD-R" ], [ "TOM JONES", "has_genre", "ADVENTURE" ], [ "TOM JONES", "has_tags", "BD-R" ], [ "TOM SAWYER", "has_genre", "ADVENTURE" ], [ "TOM SAWYER", "has_tags", "BD-R" ], [ "TRIPLE CROSS", "has_tags", "BD-R" ], [ "TRIPLE CROSS", "in_language", "FRENCH" ], [ "VICTIM", "has_tags", "BD-R" ], [ "VICTIM", "in_language", "ENGLISH" ], [ "VILLAGE OF THE GIANTS", "has_tags", "BD-R" ], [ "VILLAGE OF THE GIANTS", "release_year", "1965" ], [ "VIVA MARIA!", "directed_by", "LOUIS MALLE" ], [ "VIVA MARIA!", "has_genre", "ADVENTURE" ], [ "VIVA MARIA!", "has_tags", "BD-R" ], [ "VIVA MARIA!", "has_tags", "BRIGITTE BARDOT" ], [ "VIVA MARIA!", "has_tags", "FRENCH" ], [ "VIVA MARIA!", "has_tags", "JEANNE MOREAU" ], [ "VIVA MARIA!", "has_tags", "LOUIS MALLE" ], [ "VIVA MARIA!", "in_language", "ENGLISH" ], [ "VIVA MARIA!", "in_language", "FRENCH" ], [ "VIVA MARIA!", "release_year", "1965" ], [ "VIVA MARIA!", "starred_actors", "BRIGITTE BARDOT" ], [ "VIVA MARIA!", "starred_actors", "JEANNE MOREAU" ], [ "VIVA MARIA!", "written_by", "LOUIS MALLE" ], [ "WENT THE DAY WELL?", "has_tags", "BD-R" ], [ "WENT THE DAY WELL?", "in_language", "ENGLISH" ], [ "WHO'S AFRAID OF VIRGINIA WOOLF?", "has_tags", "BD-R" ], [ "WHO'S AFRAID OF VIRGINIA WOOLF?", "in_language", "ENGLISH" ], [ "WITCHFINDER GENERAL", "has_tags", "BD-R" ], [ "WITCHFINDER GENERAL", "in_language", "ENGLISH" ], [ "Z", "has_tags", "BD-R" ], [ "Z", "in_language", "FRENCH" ], [ "ZERO FOR CONDUCT", "has_tags", "BD-R" ], [ "ZERO FOR CONDUCT", "has_tags", "FRENCH" ], [ "ZERO FOR CONDUCT", "in_language", "FRENCH" ] ] }
metaqa	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 5438, 1931 18132, 1938 35063, 1976 1092, ARROWSMITH 3706, BEULAH BONDI 32354, FOUR MEN AND A PRAYER 7736, JAMES STEWART 13255, JOHN FORD 15311, OF HUMAN HEARTS 31805, SEAS BENEATH 28357, ST. IVES 7352, STREET SCENE 19417, THE CRIMINAL CODE 36235, THE MAN WHO SHOT LIBERTY VALANCE 31357, THE SHOOTIST 32860, THE SHOPWORN ANGEL 30453, THE STAR WITNESS 37207, TWO RODE TOGETHER 13631, VIVACIOUS LADY 27356, WALTER HUSTON 8184, YOU CAN'T TAKE IT WITH YOU src, edge_attr, dst 1092, directed_by, 13255 1092, release_year, 5438 32354, directed_by, 13255 32354, release_year, 18132 15311, release_year, 18132 15311, starred_actors, 3706 15311, starred_actors, 7736 15311, starred_actors, 27356 31805, directed_by, 13255 31805, release_year, 5438 28357, release_year, 35063 7352, release_year, 5438 7352, starred_actors, 3706 19417, release_year, 5438 19417, starred_actors, 27356 36235, directed_by, 13255 36235, has_tags, 7736 36235, has_tags, 13255 36235, starred_actors, 7736 31357, release_year, 35063 31357, starred_actors, 7736 32860, release_year, 18132 32860, starred_actors, 7736 30453, release_year, 5438 30453, starred_actors, 27356 37207, directed_by, 13255 37207, starred_actors, 7736 13631, release_year, 18132 13631, starred_actors, 3706 13631, starred_actors, 7736 8184, has_tags, 7736 8184, release_year, 18132 8184, starred_actors, 7736 Question: For what reason are ARROWSMITH, OF HUMAN HEARTS, and ST. IVES associated? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "ARROWSMITH", "OF HUMAN HEARTS", "ST. IVES" ], "valid_edges": [ [ "ARROWSMITH", "directed_by", "JOHN FORD" ], [ "ARROWSMITH", "release_year", "1931" ], [ "FOUR MEN AND A PRAYER", "directed_by", "JOHN FORD" ], [ "FOUR MEN AND A PRAYER", "release_year", "1938" ], [ "OF HUMAN HEARTS", "release_year", "1938" ], [ "OF HUMAN HEARTS", "starred_actors", "BEULAH BONDI" ], [ "OF HUMAN HEARTS", "starred_actors", "JAMES STEWART" ], [ "OF HUMAN HEARTS", "starred_actors", "WALTER HUSTON" ], [ "SEAS BENEATH", "directed_by", "JOHN FORD" ], [ "SEAS BENEATH", "release_year", "1931" ], [ "ST. IVES", "release_year", "1976" ], [ "STREET SCENE", "release_year", "1931" ], [ "STREET SCENE", "starred_actors", "BEULAH BONDI" ], [ "THE CRIMINAL CODE", "release_year", "1931" ], [ "THE CRIMINAL CODE", "starred_actors", "WALTER HUSTON" ], [ "THE MAN WHO SHOT LIBERTY VALANCE", "directed_by", "JOHN FORD" ], [ "THE MAN WHO SHOT LIBERTY VALANCE", "has_tags", "JAMES STEWART" ], [ "THE MAN WHO SHOT LIBERTY VALANCE", "has_tags", "JOHN FORD" ], [ "THE MAN WHO SHOT LIBERTY VALANCE", "starred_actors", "JAMES STEWART" ], [ "THE SHOOTIST", "release_year", "1976" ], [ "THE SHOOTIST", "starred_actors", "JAMES STEWART" ], [ "THE SHOPWORN ANGEL", "release_year", "1938" ], [ "THE SHOPWORN ANGEL", "starred_actors", "JAMES STEWART" ], [ "THE STAR WITNESS", "release_year", "1931" ], [ "THE STAR WITNESS", "starred_actors", "WALTER HUSTON" ], [ "TWO RODE TOGETHER", "directed_by", "JOHN FORD" ], [ "TWO RODE TOGETHER", "starred_actors", "JAMES STEWART" ], [ "VIVACIOUS LADY", "release_year", "1938" ], [ "VIVACIOUS LADY", "starred_actors", "BEULAH BONDI" ], [ "VIVACIOUS LADY", "starred_actors", "JAMES STEWART" ], [ "YOU CAN'T TAKE IT WITH YOU", "has_tags", "JAMES STEWART" ], [ "YOU CAN'T TAKE IT WITH YOU", "release_year", "1938" ], [ "YOU CAN'T TAKE IT WITH YOU", "starred_actors", "JAMES STEWART" ] ] }
metaqa	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 36173, 1946 30146, A CHRISTMAS CAROL 16150, A CHRISTMAS STORY 19697, ALAIN RESNAIS 9677, ANATOMY OF A MURDER 25570, BEAUTY AND THE BEAST 2313, BEN-HUR 17280, CHRISTMAS 14728, CLASSIC 22958, FAMOUS 1331, IT'S A WONDERFUL LIFE 7736, JAMES STEWART 30057, LAST YEAR AT MARIENBAD 39471, LETTERS TO JULIET 25534, LONG 13672, LOVE ACTUALLY 1994, NOTORIOUS 15644, OLIVER TWIST 37135, REAR WINDOW 38875, ROMANTIC 40066, THE JUNGLE BOOK 28776, THE WIZARD OF OZ 7957, VERTIGO 33318, YOU AIN'T SEEN NOTHIN' YET src, edge_attr, dst 30146, has_imdb_votes, 22958 30146, has_tags, 17280 30146, has_tags, 14728 16150, has_tags, 17280 16150, has_tags, 14728 9677, has_imdb_votes, 22958 9677, has_tags, 7736 9677, starred_actors, 7736 25570, has_imdb_votes, 22958 25570, has_tags, 14728 25570, release_year, 36173 2313, has_imdb_votes, 22958 2313, has_tags, 25534 1331, has_tags, 17280 1331, has_tags, 14728 1331, has_tags, 7736 1331, has_tags, 25534 1331, release_year, 36173 1331, starred_actors, 7736 30057, directed_by, 19697 30057, has_imdb_votes, 22958 30057, has_tags, 19697 39471, has_imdb_votes, 22958 39471, has_tags, 38875 13672, has_tags, 17280 13672, has_tags, 38875 1994, has_imdb_votes, 22958 1994, release_year, 36173 15644, has_imdb_votes, 22958 15644, has_tags, 14728 37135, has_tags, 14728 37135, has_tags, 7736 37135, starred_actors, 7736 40066, has_imdb_votes, 22958 40066, has_tags, 14728 28776, has_imdb_votes, 22958 28776, has_tags, 14728 7957, has_tags, 14728 7957, has_tags, 7736 7957, starred_actors, 7736 33318, directed_by, 19697 33318, has_tags, 19697 33318, written_by, 19697 Question: How are IT'S A WONDERFUL LIFE, LETTERS TO JULIET, and YOU AIN'T SEEN NOTHIN' YET related? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "IT'S A WONDERFUL LIFE", "LETTERS TO JULIET", "YOU AIN'T SEEN NOTHIN' YET" ], "valid_edges": [ [ "A CHRISTMAS CAROL", "has_imdb_votes", "FAMOUS" ], [ "A CHRISTMAS CAROL", "has_tags", "CHRISTMAS" ], [ "A CHRISTMAS CAROL", "has_tags", "CLASSIC" ], [ "A CHRISTMAS STORY", "has_tags", "CHRISTMAS" ], [ "A CHRISTMAS STORY", "has_tags", "CLASSIC" ], [ "ANATOMY OF A MURDER", "has_imdb_votes", "FAMOUS" ], [ "ANATOMY OF A MURDER", "has_tags", "JAMES STEWART" ], [ "ANATOMY OF A MURDER", "starred_actors", "JAMES STEWART" ], [ "BEAUTY AND THE BEAST", "has_imdb_votes", "FAMOUS" ], [ "BEAUTY AND THE BEAST", "has_tags", "CLASSIC" ], [ "BEAUTY AND THE BEAST", "release_year", "1946" ], [ "BEN-HUR", "has_imdb_votes", "FAMOUS" ], [ "BEN-HUR", "has_tags", "LONG" ], [ "IT'S A WONDERFUL LIFE", "has_tags", "CHRISTMAS" ], [ "IT'S A WONDERFUL LIFE", "has_tags", "CLASSIC" ], [ "IT'S A WONDERFUL LIFE", "has_tags", "JAMES STEWART" ], [ "IT'S A WONDERFUL LIFE", "has_tags", "LONG" ], [ "IT'S A WONDERFUL LIFE", "release_year", "1946" ], [ "IT'S A WONDERFUL LIFE", "starred_actors", "JAMES STEWART" ], [ "LAST YEAR AT MARIENBAD", "directed_by", "ALAIN RESNAIS" ], [ "LAST YEAR AT MARIENBAD", "has_imdb_votes", "FAMOUS" ], [ "LAST YEAR AT MARIENBAD", "has_tags", "ALAIN RESNAIS" ], [ "LETTERS TO JULIET", "has_imdb_votes", "FAMOUS" ], [ "LETTERS TO JULIET", "has_tags", "ROMANTIC" ], [ "LOVE ACTUALLY", "has_tags", "CHRISTMAS" ], [ "LOVE ACTUALLY", "has_tags", "ROMANTIC" ], [ "NOTORIOUS", "has_imdb_votes", "FAMOUS" ], [ "NOTORIOUS", "release_year", "1946" ], [ "OLIVER TWIST", "has_imdb_votes", "FAMOUS" ], [ "OLIVER TWIST", "has_tags", "CLASSIC" ], [ "REAR WINDOW", "has_tags", "CLASSIC" ], [ "REAR WINDOW", "has_tags", "JAMES STEWART" ], [ "REAR WINDOW", "starred_actors", "JAMES STEWART" ], [ "THE JUNGLE BOOK", "has_imdb_votes", "FAMOUS" ], [ "THE JUNGLE BOOK", "has_tags", "CLASSIC" ], [ "THE WIZARD OF OZ", "has_imdb_votes", "FAMOUS" ], [ "THE WIZARD OF OZ", "has_tags", "CLASSIC" ], [ "VERTIGO", "has_tags", "CLASSIC" ], [ "VERTIGO", "has_tags", "JAMES STEWART" ], [ "VERTIGO", "starred_actors", "JAMES STEWART" ], [ "YOU AIN'T SEEN NOTHIN' YET", "directed_by", "ALAIN RESNAIS" ], [ "YOU AIN'T SEEN NOTHIN' YET", "has_tags", "ALAIN RESNAIS" ], [ "YOU AIN'T SEEN NOTHIN' YET", "written_by", "ALAIN RESNAIS" ] ] }
metaqa	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 1421, 2013 3560, A FIELD IN ENGLAND 20723, ALAN PARTRIDGE 30870, BEAUTIFUL CREATURES 8381, DETOUR 31783, ENGLISH 37158, ERIC HEISSERER 21573, GIRL ON A BICYCLE 12776, GRAND PIANO 33776, HOURS 847, JACK THE GIANT KILLER 37407, JACK THE GIANT SLAYER 29418, JEREMY IRONS 24015, LORD OF TEARS 31324, NIGHT TRAIN TO LISBON 16883, NORWEGIAN 25824, PARADISE 8352, PARANOIA 39135, REACHING FOR THE MOON 38271, SNOWPIERCER 18443, SONDRE KROGTOFT LARSEN 30357, STOKER 6949, SUNSHINE ON LEITH 38107, THE EAST 24306, THE ENGLISH TEACHER 38918, THE FAMILY 2872, THE GREAT GATSBY 30746, THE SECRET LIFE OF WALTER MITTY 19624, THE THING 30209, YEH JAWAANI HAI DEEWANI 17777, ZULU src, edge_attr, dst 3560, in_language, 31783 3560, release_year, 1421 20723, in_language, 31783 20723, release_year, 1421 30870, release_year, 1421 30870, starred_actors, 29418 8381, in_language, 16883 8381, starred_actors, 18443 21573, in_language, 31783 21573, release_year, 1421 12776, in_language, 31783 12776, release_year, 1421 33776, directed_by, 37158 33776, release_year, 1421 33776, written_by, 37158 847, in_language, 31783 847, release_year, 1421 37407, in_language, 31783 37407, release_year, 1421 24015, in_language, 31783 24015, release_year, 1421 31324, has_tags, 29418 31324, in_language, 31783 31324, release_year, 1421 31324, starred_actors, 29418 25824, in_language, 31783 25824, release_year, 1421 8352, release_year, 1421 39135, in_language, 31783 39135, release_year, 1421 38271, in_language, 31783 38271, release_year, 1421 30357, in_language, 31783 30357, release_year, 1421 6949, in_language, 31783 6949, release_year, 1421 38107, in_language, 31783 38107, release_year, 1421 24306, has_tags, 31783 24306, in_language, 31783 24306, release_year, 1421 38918, in_language, 31783 38918, release_year, 1421 2872, in_language, 31783 2872, release_year, 1421 30746, in_language, 31783 30746, release_year, 1421 19624, has_tags, 16883 19624, has_tags, 8352 19624, in_language, 16883 19624, written_by, 37158 30209, in_language, 31783 30209, release_year, 1421 17777, in_language, 31783 17777, release_year, 1421 Question: In what context are ERIC HEISSERER, NIGHT TRAIN TO LISBON, and SONDRE KROGTOFT LARSEN connected? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "ERIC HEISSERER", "NIGHT TRAIN TO LISBON", "SONDRE KROGTOFT LARSEN" ], "valid_edges": [ [ "A FIELD IN ENGLAND", "in_language", "ENGLISH" ], [ "A FIELD IN ENGLAND", "release_year", "2013" ], [ "ALAN PARTRIDGE", "in_language", "ENGLISH" ], [ "ALAN PARTRIDGE", "release_year", "2013" ], [ "BEAUTIFUL CREATURES", "release_year", "2013" ], [ "BEAUTIFUL CREATURES", "starred_actors", "JEREMY IRONS" ], [ "DETOUR", "in_language", "NORWEGIAN" ], [ "DETOUR", "starred_actors", "SONDRE KROGTOFT LARSEN" ], [ "GIRL ON A BICYCLE", "in_language", "ENGLISH" ], [ "GIRL ON A BICYCLE", "release_year", "2013" ], [ "GRAND PIANO", "in_language", "ENGLISH" ], [ "GRAND PIANO", "release_year", "2013" ], [ "HOURS", "directed_by", "ERIC HEISSERER" ], [ "HOURS", "release_year", "2013" ], [ "HOURS", "written_by", "ERIC HEISSERER" ], [ "JACK THE GIANT KILLER", "in_language", "ENGLISH" ], [ "JACK THE GIANT KILLER", "release_year", "2013" ], [ "JACK THE GIANT SLAYER", "in_language", "ENGLISH" ], [ "JACK THE GIANT SLAYER", "release_year", "2013" ], [ "LORD OF TEARS", "in_language", "ENGLISH" ], [ "LORD OF TEARS", "release_year", "2013" ], [ "NIGHT TRAIN TO LISBON", "has_tags", "JEREMY IRONS" ], [ "NIGHT TRAIN TO LISBON", "in_language", "ENGLISH" ], [ "NIGHT TRAIN TO LISBON", "release_year", "2013" ], [ "NIGHT TRAIN TO LISBON", "starred_actors", "JEREMY IRONS" ], [ "PARADISE", "in_language", "ENGLISH" ], [ "PARADISE", "release_year", "2013" ], [ "PARANOIA", "release_year", "2013" ], [ "REACHING FOR THE MOON", "in_language", "ENGLISH" ], [ "REACHING FOR THE MOON", "release_year", "2013" ], [ "SNOWPIERCER", "in_language", "ENGLISH" ], [ "SNOWPIERCER", "release_year", "2013" ], [ "STOKER", "in_language", "ENGLISH" ], [ "STOKER", "release_year", "2013" ], [ "SUNSHINE ON LEITH", "in_language", "ENGLISH" ], [ "SUNSHINE ON LEITH", "release_year", "2013" ], [ "THE EAST", "in_language", "ENGLISH" ], [ "THE EAST", "release_year", "2013" ], [ "THE ENGLISH TEACHER", "has_tags", "ENGLISH" ], [ "THE ENGLISH TEACHER", "in_language", "ENGLISH" ], [ "THE ENGLISH TEACHER", "release_year", "2013" ], [ "THE FAMILY", "in_language", "ENGLISH" ], [ "THE FAMILY", "release_year", "2013" ], [ "THE GREAT GATSBY", "in_language", "ENGLISH" ], [ "THE GREAT GATSBY", "release_year", "2013" ], [ "THE SECRET LIFE OF WALTER MITTY", "in_language", "ENGLISH" ], [ "THE SECRET LIFE OF WALTER MITTY", "release_year", "2013" ], [ "THE THING", "has_tags", "NORWEGIAN" ], [ "THE THING", "has_tags", "PARANOIA" ], [ "THE THING", "in_language", "NORWEGIAN" ], [ "THE THING", "written_by", "ERIC HEISSERER" ], [ "YEH JAWAANI HAI DEEWANI", "in_language", "ENGLISH" ], [ "YEH JAWAANI HAI DEEWANI", "release_year", "2013" ], [ "ZULU", "in_language", "ENGLISH" ], [ "ZULU", "release_year", "2013" ] ] }
metaqa	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 36279, 10 YEARS 29424, 2011 23250, 50/50 5158, A BAG OF HAMMERS 10158, A PRINCESS FOR CHRISTMAS 37154, ALAN JACOBS 26599, AMERICAN GUN 29881, AMERICANO 188, ANOTHER HAPPY DAY 23286, CARNAGE 28503, CLOUDBURST 23452, DARK HORSE 6375, DELICACY 14132, DESI BOYZ 36212, DRAMA 17854, GOING DOWN IN LA-LA LAND 13198, HOLY FLYING CIRCUS 21922, JANE EYRE 37830, JEFF, WHO LIVES AT HOME 15175, LE HAVRE 3800, LOSERS' CLUB 19802, LOVE 4234, MADEA'S BIG HAPPY FAMILY 35399, MICHAEL BRANDT 33300, NATURAL SELECTION 20537, NEWLYWEDS 10021, OUR IDIOT BROTHER 35664, RESTLESS 12301, SALMON FISHING IN THE YEMEN 23708, SUICIDE ROOM 18005, TAKE THIS WALTZ 26586, THAT'S WHAT I AM 39795, THE ARTIST 5838, THE CLOWN 11393, THE DESCENDANTS 32295, THE DILEMMA 3680, THE DOUBLE 6289, THE INTOUCHABLES 7816, THE THREE MUSKETEERS 13003, THE WELL-DIGGER'S DAUGHTER 5529, THIN ICE 8957, WE BOUGHT A ZOO 35511, WE HAVE A POPE 33483, WEEKEND 36565, WIN WIN 11924, YOUNG ADULT 16822, YOUR SISTER'S SISTER 28489, ZINDAGI NA MILEGI DOBARA src, edge_attr, dst 36279, has_genre, 36212 36279, release_year, 29424 23250, has_genre, 36212 23250, release_year, 29424 5158, has_genre, 36212 5158, release_year, 29424 10158, has_genre, 36212 10158, release_year, 29424 26599, directed_by, 37154 26599, has_genre, 36212 26599, written_by, 37154 29881, has_genre, 36212 29881, release_year, 29424 188, has_genre, 36212 188, release_year, 29424 23286, has_genre, 36212 23286, release_year, 29424 28503, has_genre, 36212 28503, release_year, 29424 23452, has_genre, 36212 23452, release_year, 29424 6375, has_genre, 36212 6375, release_year, 29424 14132, has_genre, 36212 14132, release_year, 29424 17854, has_genre, 36212 17854, release_year, 29424 13198, has_genre, 36212 13198, release_year, 29424 21922, has_genre, 36212 21922, release_year, 29424 37830, has_genre, 36212 37830, release_year, 29424 15175, has_genre, 36212 15175, release_year, 29424 3800, has_genre, 36212 3800, release_year, 29424 19802, has_genre, 36212 19802, release_year, 29424 4234, has_genre, 36212 4234, release_year, 29424 33300, has_genre, 36212 33300, release_year, 29424 20537, has_genre, 36212 20537, release_year, 29424 10021, has_genre, 36212 10021, release_year, 29424 35664, has_genre, 36212 35664, release_year, 29424 12301, has_genre, 36212 12301, release_year, 29424 23708, has_genre, 36212 23708, release_year, 29424 18005, has_genre, 36212 18005, release_year, 29424 26586, has_genre, 36212 26586, release_year, 29424 39795, has_genre, 36212 39795, has_tags, 36212 39795, release_year, 29424 5838, has_genre, 36212 5838, release_year, 29424 11393, has_genre, 36212 11393, has_tags, 36212 11393, release_year, 29424 32295, has_genre, 36212 32295, release_year, 29424 3680, directed_by, 35399 3680, release_year, 29424 3680, written_by, 35399 6289, has_genre, 36212 6289, release_year, 29424 7816, has_genre, 36212 7816, release_year, 29424 13003, has_genre, 36212 13003, release_year, 29424 5529, has_genre, 36212 5529, release_year, 29424 8957, has_genre, 36212 8957, release_year, 29424 35511, has_genre, 36212 35511, release_year, 29424 33483, has_genre, 36212 33483, release_year, 29424 36565, has_genre, 36212 36565, release_year, 29424 11924, has_genre, 36212 11924, has_tags, 36212 11924, release_year, 29424 16822, has_genre, 36212 16822, release_year, 29424 28489, has_genre, 36212 28489, release_year, 29424 Question: How are ALAN JACOBS, MICHAEL BRANDT, and SUICIDE ROOM related? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "ALAN JACOBS", "MICHAEL BRANDT", "SUICIDE ROOM" ], "valid_edges": [ [ "10 YEARS", "has_genre", "DRAMA" ], [ "10 YEARS", "release_year", "2011" ], [ "50/50", "has_genre", "DRAMA" ], [ "50/50", "release_year", "2011" ], [ "A BAG OF HAMMERS", "has_genre", "DRAMA" ], [ "A BAG OF HAMMERS", "release_year", "2011" ], [ "A PRINCESS FOR CHRISTMAS", "has_genre", "DRAMA" ], [ "A PRINCESS FOR CHRISTMAS", "release_year", "2011" ], [ "AMERICAN GUN", "directed_by", "ALAN JACOBS" ], [ "AMERICAN GUN", "has_genre", "DRAMA" ], [ "AMERICAN GUN", "written_by", "ALAN JACOBS" ], [ "AMERICANO", "has_genre", "DRAMA" ], [ "AMERICANO", "release_year", "2011" ], [ "ANOTHER HAPPY DAY", "has_genre", "DRAMA" ], [ "ANOTHER HAPPY DAY", "release_year", "2011" ], [ "CARNAGE", "has_genre", "DRAMA" ], [ "CARNAGE", "release_year", "2011" ], [ "CLOUDBURST", "has_genre", "DRAMA" ], [ "CLOUDBURST", "release_year", "2011" ], [ "DARK HORSE", "has_genre", "DRAMA" ], [ "DARK HORSE", "release_year", "2011" ], [ "DELICACY", "has_genre", "DRAMA" ], [ "DELICACY", "release_year", "2011" ], [ "DESI BOYZ", "has_genre", "DRAMA" ], [ "DESI BOYZ", "release_year", "2011" ], [ "GOING DOWN IN LA-LA LAND", "has_genre", "DRAMA" ], [ "GOING DOWN IN LA-LA LAND", "release_year", "2011" ], [ "HOLY FLYING CIRCUS", "has_genre", "DRAMA" ], [ "HOLY FLYING CIRCUS", "release_year", "2011" ], [ "JANE EYRE", "has_genre", "DRAMA" ], [ "JANE EYRE", "release_year", "2011" ], [ "JEFF, WHO LIVES AT HOME", "has_genre", "DRAMA" ], [ "JEFF, WHO LIVES AT HOME", "release_year", "2011" ], [ "LE HAVRE", "has_genre", "DRAMA" ], [ "LE HAVRE", "release_year", "2011" ], [ "LOSERS' CLUB", "has_genre", "DRAMA" ], [ "LOSERS' CLUB", "release_year", "2011" ], [ "LOVE", "has_genre", "DRAMA" ], [ "LOVE", "release_year", "2011" ], [ "MADEA'S BIG HAPPY FAMILY", "has_genre", "DRAMA" ], [ "MADEA'S BIG HAPPY FAMILY", "release_year", "2011" ], [ "NATURAL SELECTION", "has_genre", "DRAMA" ], [ "NATURAL SELECTION", "release_year", "2011" ], [ "NEWLYWEDS", "has_genre", "DRAMA" ], [ "NEWLYWEDS", "release_year", "2011" ], [ "OUR IDIOT BROTHER", "has_genre", "DRAMA" ], [ "OUR IDIOT BROTHER", "release_year", "2011" ], [ "RESTLESS", "has_genre", "DRAMA" ], [ "RESTLESS", "release_year", "2011" ], [ "SALMON FISHING IN THE YEMEN", "has_genre", "DRAMA" ], [ "SALMON FISHING IN THE YEMEN", "release_year", "2011" ], [ "SUICIDE ROOM", "has_genre", "DRAMA" ], [ "SUICIDE ROOM", "release_year", "2011" ], [ "TAKE THIS WALTZ", "has_genre", "DRAMA" ], [ "TAKE THIS WALTZ", "release_year", "2011" ], [ "THAT'S WHAT I AM", "has_genre", "DRAMA" ], [ "THAT'S WHAT I AM", "release_year", "2011" ], [ "THE ARTIST", "has_genre", "DRAMA" ], [ "THE ARTIST", "has_tags", "DRAMA" ], [ "THE ARTIST", "release_year", "2011" ], [ "THE CLOWN", "has_genre", "DRAMA" ], [ "THE CLOWN", "release_year", "2011" ], [ "THE DESCENDANTS", "has_genre", "DRAMA" ], [ "THE DESCENDANTS", "has_tags", "DRAMA" ], [ "THE DESCENDANTS", "release_year", "2011" ], [ "THE DILEMMA", "has_genre", "DRAMA" ], [ "THE DILEMMA", "release_year", "2011" ], [ "THE DOUBLE", "directed_by", "MICHAEL BRANDT" ], [ "THE DOUBLE", "release_year", "2011" ], [ "THE DOUBLE", "written_by", "MICHAEL BRANDT" ], [ "THE INTOUCHABLES", "has_genre", "DRAMA" ], [ "THE INTOUCHABLES", "release_year", "2011" ], [ "THE THREE MUSKETEERS", "has_genre", "DRAMA" ], [ "THE THREE MUSKETEERS", "release_year", "2011" ], [ "THE WELL-DIGGER'S DAUGHTER", "has_genre", "DRAMA" ], [ "THE WELL-DIGGER'S DAUGHTER", "release_year", "2011" ], [ "THIN ICE", "has_genre", "DRAMA" ], [ "THIN ICE", "release_year", "2011" ], [ "WE BOUGHT A ZOO", "has_genre", "DRAMA" ], [ "WE BOUGHT A ZOO", "release_year", "2011" ], [ "WE HAVE A POPE", "has_genre", "DRAMA" ], [ "WE HAVE A POPE", "release_year", "2011" ], [ "WEEKEND", "has_genre", "DRAMA" ], [ "WEEKEND", "release_year", "2011" ], [ "WIN WIN", "has_genre", "DRAMA" ], [ "WIN WIN", "release_year", "2011" ], [ "YOUNG ADULT", "has_genre", "DRAMA" ], [ "YOUNG ADULT", "has_tags", "DRAMA" ], [ "YOUNG ADULT", "release_year", "2011" ], [ "YOUR SISTER'S SISTER", "has_genre", "DRAMA" ], [ "YOUR SISTER'S SISTER", "release_year", "2011" ], [ "ZINDAGI NA MILEGI DOBARA", "has_genre", "DRAMA" ], [ "ZINDAGI NA MILEGI DOBARA", "release_year", "2011" ] ] }
metaqa	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 24525, 1984 4763, ADVENTURE 524, CHARLIE'S ANGELS 36066, FANTASY 36940, LABYRINTH 18795, MARY CROSBY 21057, QUEST 19740, RYAN ROWE 25296, THE ICE PIRATES 24404, THE NEVERENDING STORY src, edge_attr, dst 524, has_genre, 4763 524, written_by, 19740 36940, has_genre, 4763 36940, has_genre, 36066 36940, has_tags, 4763 36940, has_tags, 36066 36940, has_tags, 21057 25296, release_year, 24525 25296, starred_actors, 18795 24404, has_tags, 36066 24404, has_tags, 21057 24404, release_year, 24525 Question: In what context are MARY CROSBY, QUEST, and RYAN ROWE connected? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "MARY CROSBY", "QUEST", "RYAN ROWE" ], "valid_edges": [ [ "CHARLIE'S ANGELS", "has_genre", "ADVENTURE" ], [ "CHARLIE'S ANGELS", "written_by", "RYAN ROWE" ], [ "LABYRINTH", "has_genre", "ADVENTURE" ], [ "LABYRINTH", "has_genre", "FANTASY" ], [ "LABYRINTH", "has_tags", "ADVENTURE" ], [ "LABYRINTH", "has_tags", "FANTASY" ], [ "LABYRINTH", "has_tags", "QUEST" ], [ "THE ICE PIRATES", "release_year", "1984" ], [ "THE ICE PIRATES", "starred_actors", "MARY CROSBY" ], [ "THE NEVERENDING STORY", "has_tags", "FANTASY" ], [ "THE NEVERENDING STORY", "has_tags", "QUEST" ], [ "THE NEVERENDING STORY", "release_year", "1984" ] ] }
metaqa	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 2493, 13 35798, 2010 24480, A NIGHTMARE ON ELM STREET 2201, ANTICHRIST 26267, CINEMATOGRAPHY 27843, CLASH OF THE TITANS 37059, DEATH AT A FUNERAL 13272, DON'T BE AFRAID OF THE DARK 15439, I SPIT ON YOUR GRAVE 29987, LET ME IN 37521, OWEN DAVIS 23228, PUTTY HILL 28729, REMAKE 25463, THE CRAZIES 2599, THE EXPERIMENT 2872, THE GREAT GATSBY 13329, THE KARATE KID 1208, THE NEXT THREE DAYS 17910, THE OMEN src, edge_attr, dst 2493, has_tags, 28729 2493, release_year, 35798 24480, has_tags, 28729 24480, release_year, 35798 2201, has_tags, 26267 27843, has_tags, 28729 27843, release_year, 35798 37059, has_tags, 28729 37059, release_year, 35798 13272, has_tags, 28729 13272, release_year, 35798 15439, has_tags, 28729 15439, release_year, 35798 29987, has_tags, 28729 29987, release_year, 35798 23228, release_year, 35798 25463, has_tags, 28729 25463, release_year, 35798 2599, has_tags, 28729 2599, release_year, 35798 2872, has_tags, 26267 2872, written_by, 37521 13329, has_tags, 28729 13329, release_year, 35798 1208, has_tags, 28729 1208, release_year, 35798 17910, has_tags, 2201 17910, has_tags, 28729 Question: In what context are OWEN DAVIS, PUTTY HILL, and THE OMEN connected? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "OWEN DAVIS", "PUTTY HILL", "THE OMEN" ], "valid_edges": [ [ "13", "has_tags", "REMAKE" ], [ "13", "release_year", "2010" ], [ "A NIGHTMARE ON ELM STREET", "has_tags", "REMAKE" ], [ "A NIGHTMARE ON ELM STREET", "release_year", "2010" ], [ "ANTICHRIST", "has_tags", "CINEMATOGRAPHY" ], [ "CLASH OF THE TITANS", "has_tags", "REMAKE" ], [ "CLASH OF THE TITANS", "release_year", "2010" ], [ "DEATH AT A FUNERAL", "has_tags", "REMAKE" ], [ "DEATH AT A FUNERAL", "release_year", "2010" ], [ "DON'T BE AFRAID OF THE DARK", "has_tags", "REMAKE" ], [ "DON'T BE AFRAID OF THE DARK", "release_year", "2010" ], [ "I SPIT ON YOUR GRAVE", "has_tags", "REMAKE" ], [ "I SPIT ON YOUR GRAVE", "release_year", "2010" ], [ "LET ME IN", "has_tags", "REMAKE" ], [ "LET ME IN", "release_year", "2010" ], [ "PUTTY HILL", "release_year", "2010" ], [ "THE CRAZIES", "has_tags", "REMAKE" ], [ "THE CRAZIES", "release_year", "2010" ], [ "THE EXPERIMENT", "has_tags", "REMAKE" ], [ "THE EXPERIMENT", "release_year", "2010" ], [ "THE GREAT GATSBY", "has_tags", "CINEMATOGRAPHY" ], [ "THE GREAT GATSBY", "written_by", "OWEN DAVIS" ], [ "THE KARATE KID", "has_tags", "REMAKE" ], [ "THE KARATE KID", "release_year", "2010" ], [ "THE NEXT THREE DAYS", "has_tags", "REMAKE" ], [ "THE NEXT THREE DAYS", "release_year", "2010" ], [ "THE OMEN", "has_tags", "ANTICHRIST" ], [ "THE OMEN", "has_tags", "REMAKE" ] ] }
metaqa	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 658, 2012 30665, 7 DAYS IN HAVANA 21289, ENTITY 6221, FRIENDS WITH BENEFITS 11565, GOOD 5722, HUMAN RESOURCES 2722, INSIDE LLEWYN DAVIS 17585, JOHN GOODMAN 14768, JUSTIN TIMBERLAKE 8795, LAURENT CANTET 17451, TROUBLE WITH THE CURVE 16982, WOODY HARRELSON src, edge_attr, dst 658, has_tags, 16982 30665, directed_by, 8795 30665, release_year, 658 30665, written_by, 8795 21289, release_year, 658 6221, has_tags, 14768 6221, has_tags, 16982 6221, starred_actors, 14768 5722, directed_by, 8795 5722, has_tags, 8795 5722, written_by, 8795 2722, has_imdb_rating, 11565 2722, has_tags, 17585 2722, has_tags, 14768 2722, starred_actors, 14768 17451, has_imdb_rating, 11565 17451, has_tags, 17585 17451, has_tags, 14768 17451, release_year, 658 Question: How are ENTITY, HUMAN RESOURCES, and JUSTIN TIMBERLAKE related? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "ENTITY", "HUMAN RESOURCES", "JUSTIN TIMBERLAKE" ], "valid_edges": [ [ "2012", "has_tags", "WOODY HARRELSON" ], [ "7 DAYS IN HAVANA", "directed_by", "LAURENT CANTET" ], [ "7 DAYS IN HAVANA", "release_year", "2012" ], [ "7 DAYS IN HAVANA", "written_by", "LAURENT CANTET" ], [ "ENTITY", "release_year", "2012" ], [ "FRIENDS WITH BENEFITS", "has_tags", "JUSTIN TIMBERLAKE" ], [ "FRIENDS WITH BENEFITS", "has_tags", "WOODY HARRELSON" ], [ "FRIENDS WITH BENEFITS", "starred_actors", "JUSTIN TIMBERLAKE" ], [ "HUMAN RESOURCES", "directed_by", "LAURENT CANTET" ], [ "HUMAN RESOURCES", "has_tags", "LAURENT CANTET" ], [ "HUMAN RESOURCES", "written_by", "LAURENT CANTET" ], [ "INSIDE LLEWYN DAVIS", "has_imdb_rating", "GOOD" ], [ "INSIDE LLEWYN DAVIS", "has_tags", "JOHN GOODMAN" ], [ "INSIDE LLEWYN DAVIS", "has_tags", "JUSTIN TIMBERLAKE" ], [ "INSIDE LLEWYN DAVIS", "starred_actors", "JUSTIN TIMBERLAKE" ], [ "TROUBLE WITH THE CURVE", "has_imdb_rating", "GOOD" ], [ "TROUBLE WITH THE CURVE", "has_tags", "JOHN GOODMAN" ], [ "TROUBLE WITH THE CURVE", "has_tags", "JUSTIN TIMBERLAKE" ], [ "TROUBLE WITH THE CURVE", "release_year", "2012" ] ] }
metaqa	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 8779, 1945 35798, 2010 29638, ALICE IN WONDERLAND 32479, BEWITCHED 13225, BLITHE SPIRIT 39570, BUNRAKU 27843, CLASH OF THE TITANS 13272, DON'T BE AFRAID OF THE DARK 36066, FANTASY 12817, FRANK BORZAGE 5387, HEREAFTER 13549, HOW TO TRAIN YOUR DRAGON 26991, JONAH HEX 32481, MANNEQUIN 36999, MAUREEN O'HARA 32823, MIRACLE ON 34TH STREET 6952, MY JOY 10344, THE EXTRAORDINARY ADVENTURES OF ADÈLE BLANC-SEC 38073, THE LAST AIRBENDER 8168, THE SPANISH MAIN 15218, THE SWORD AND THE SORCERER 26036, THE TEMPEST 37516, THE WARRIOR'S WAY 14716, TROLLHUNTER 15472, YOLANDA AND THE THIEF src, edge_attr, dst 29638, has_genre, 36066 29638, has_tags, 36066 29638, release_year, 35798 32479, has_genre, 36066 32479, release_year, 8779 13225, has_genre, 36066 13225, release_year, 8779 39570, has_tags, 36066 39570, release_year, 35798 27843, has_genre, 36066 27843, has_tags, 36066 27843, release_year, 35798 13272, has_genre, 36066 13272, release_year, 35798 5387, has_genre, 36066 5387, release_year, 35798 13549, has_tags, 36066 13549, release_year, 35798 26991, has_genre, 36066 26991, release_year, 35798 32481, directed_by, 12817 32481, has_genre, 36066 32823, has_genre, 36066 32823, has_tags, 36999 32823, starred_actors, 36999 6952, release_year, 35798 10344, has_genre, 36066 10344, release_year, 35798 38073, has_tags, 36066 38073, release_year, 35798 8168, directed_by, 12817 8168, release_year, 8779 8168, starred_actors, 36999 15218, has_genre, 36066 26036, has_genre, 36066 26036, release_year, 35798 37516, has_genre, 36066 37516, release_year, 35798 14716, has_genre, 36066 14716, has_tags, 36066 14716, release_year, 35798 15472, has_genre, 36066 15472, release_year, 8779 Question: For what reason are MY JOY, THE SPANISH MAIN, and THE SWORD AND THE SORCERER associated? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "MY JOY", "THE SPANISH MAIN", "THE SWORD AND THE SORCERER" ], "valid_edges": [ [ "ALICE IN WONDERLAND", "has_genre", "FANTASY" ], [ "ALICE IN WONDERLAND", "has_tags", "FANTASY" ], [ "ALICE IN WONDERLAND", "release_year", "2010" ], [ "BEWITCHED", "has_genre", "FANTASY" ], [ "BEWITCHED", "release_year", "1945" ], [ "BLITHE SPIRIT", "has_genre", "FANTASY" ], [ "BLITHE SPIRIT", "release_year", "1945" ], [ "BUNRAKU", "has_tags", "FANTASY" ], [ "BUNRAKU", "release_year", "2010" ], [ "CLASH OF THE TITANS", "has_genre", "FANTASY" ], [ "CLASH OF THE TITANS", "has_tags", "FANTASY" ], [ "CLASH OF THE TITANS", "release_year", "2010" ], [ "DON'T BE AFRAID OF THE DARK", "has_genre", "FANTASY" ], [ "DON'T BE AFRAID OF THE DARK", "release_year", "2010" ], [ "HEREAFTER", "has_genre", "FANTASY" ], [ "HEREAFTER", "release_year", "2010" ], [ "HOW TO TRAIN YOUR DRAGON", "has_tags", "FANTASY" ], [ "HOW TO TRAIN YOUR DRAGON", "release_year", "2010" ], [ "JONAH HEX", "has_genre", "FANTASY" ], [ "JONAH HEX", "release_year", "2010" ], [ "MANNEQUIN", "directed_by", "FRANK BORZAGE" ], [ "MANNEQUIN", "has_genre", "FANTASY" ], [ "MIRACLE ON 34TH STREET", "has_genre", "FANTASY" ], [ "MIRACLE ON 34TH STREET", "has_tags", "MAUREEN O'HARA" ], [ "MIRACLE ON 34TH STREET", "starred_actors", "MAUREEN O'HARA" ], [ "MY JOY", "release_year", "2010" ], [ "THE EXTRAORDINARY ADVENTURES OF ADÈLE BLANC-SEC", "has_genre", "FANTASY" ], [ "THE EXTRAORDINARY ADVENTURES OF ADÈLE BLANC-SEC", "release_year", "2010" ], [ "THE LAST AIRBENDER", "has_tags", "FANTASY" ], [ "THE LAST AIRBENDER", "release_year", "2010" ], [ "THE SPANISH MAIN", "directed_by", "FRANK BORZAGE" ], [ "THE SPANISH MAIN", "release_year", "1945" ], [ "THE SPANISH MAIN", "starred_actors", "MAUREEN O'HARA" ], [ "THE SWORD AND THE SORCERER", "has_genre", "FANTASY" ], [ "THE TEMPEST", "has_genre", "FANTASY" ], [ "THE TEMPEST", "release_year", "2010" ], [ "THE WARRIOR'S WAY", "has_genre", "FANTASY" ], [ "THE WARRIOR'S WAY", "release_year", "2010" ], [ "TROLLHUNTER", "has_genre", "FANTASY" ], [ "TROLLHUNTER", "has_tags", "FANTASY" ], [ "TROLLHUNTER", "release_year", "2010" ], [ "YOLANDA AND THE THIEF", "has_genre", "FANTASY" ], [ "YOLANDA AND THE THIEF", "release_year", "1945" ] ] }
metaqa	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 9177, 1956 29424, 2011 37908, AFRICAN CATS 39613, BEAUTY DAY 26510, BORN TO BE WILD 29342, BULLY 17035, DEBTOCRACY 12841, DOCUMENTARY 1519, DREAMS OF A LIFE 39366, HAPPY 28468, MAGIC TRIP 7839, MISS REPRESENTATION 23408, OF TIME AND THE CITY 29488, ONE DAY 35524, ONE LIFE 2108, PEARL JAM TWENTY 29086, PINA 10984, REVENGE OF THE ELECTRIC CAR 12599, SURVIVING PROGRESS 2588, THE AMBASSADOR 11259, THE BLACK POWER MIXTAPE 1967-1975 20837, THE CAPTAINS 20969, THE FLAT 30700, THE INTERRUPTERS 38461, THE LAST LIONS 27444, THE LAST MOUNTAIN 39587, THE OTHER F WORD 30593, THE VIOLENT YEARS 29052, THESE AMAZING SHADOWS 36765, THIS IS NOT A FILM 8476, TOUTE LA MÉMOIRE DU MONDE 16214, UNLAWFUL KILLING 4896, WHORES' GLORY 9056, YOU'VE BEEN TRUMPED src, edge_attr, dst 37908, has_genre, 12841 37908, release_year, 29424 39613, has_genre, 12841 39613, release_year, 29424 26510, has_genre, 12841 26510, release_year, 29424 29342, has_genre, 12841 29342, release_year, 29424 17035, has_genre, 12841 17035, release_year, 29424 1519, has_genre, 12841 1519, release_year, 29424 39366, has_genre, 12841 39366, has_tags, 12841 39366, release_year, 29424 28468, has_genre, 12841 28468, release_year, 29424 7839, has_genre, 12841 7839, release_year, 29424 23408, has_genre, 12841 29488, release_year, 29424 35524, has_genre, 12841 35524, release_year, 29424 2108, has_genre, 12841 2108, release_year, 29424 29086, has_genre, 12841 29086, has_tags, 12841 29086, release_year, 29424 10984, has_genre, 12841 10984, release_year, 29424 12599, has_genre, 12841 12599, has_tags, 12841 12599, release_year, 29424 2588, has_genre, 12841 2588, release_year, 29424 11259, has_genre, 12841 11259, release_year, 29424 20837, has_genre, 12841 20837, release_year, 29424 20969, has_genre, 12841 20969, release_year, 29424 30700, has_genre, 12841 30700, release_year, 29424 38461, has_genre, 12841 38461, release_year, 29424 27444, has_genre, 12841 27444, release_year, 29424 39587, has_genre, 12841 39587, release_year, 29424 30593, release_year, 9177 29052, has_genre, 12841 29052, release_year, 29424 36765, has_genre, 12841 36765, release_year, 29424 8476, has_genre, 12841 8476, release_year, 9177 16214, has_genre, 12841 16214, release_year, 29424 4896, has_genre, 12841 4896, has_tags, 12841 4896, release_year, 29424 9056, has_genre, 12841 9056, release_year, 29424 Question: For what reason are OF TIME AND THE CITY, ONE DAY, and THE VIOLENT YEARS associated? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "OF TIME AND THE CITY", "ONE DAY", "THE VIOLENT YEARS" ], "valid_edges": [ [ "AFRICAN CATS", "has_genre", "DOCUMENTARY" ], [ "AFRICAN CATS", "release_year", "2011" ], [ "BEAUTY DAY", "has_genre", "DOCUMENTARY" ], [ "BEAUTY DAY", "release_year", "2011" ], [ "BORN TO BE WILD", "has_genre", "DOCUMENTARY" ], [ "BORN TO BE WILD", "release_year", "2011" ], [ "BULLY", "has_genre", "DOCUMENTARY" ], [ "BULLY", "release_year", "2011" ], [ "DEBTOCRACY", "has_genre", "DOCUMENTARY" ], [ "DEBTOCRACY", "release_year", "2011" ], [ "DREAMS OF A LIFE", "has_genre", "DOCUMENTARY" ], [ "DREAMS OF A LIFE", "release_year", "2011" ], [ "HAPPY", "has_genre", "DOCUMENTARY" ], [ "HAPPY", "has_tags", "DOCUMENTARY" ], [ "HAPPY", "release_year", "2011" ], [ "MAGIC TRIP", "has_genre", "DOCUMENTARY" ], [ "MAGIC TRIP", "release_year", "2011" ], [ "MISS REPRESENTATION", "has_genre", "DOCUMENTARY" ], [ "MISS REPRESENTATION", "release_year", "2011" ], [ "OF TIME AND THE CITY", "has_genre", "DOCUMENTARY" ], [ "ONE DAY", "release_year", "2011" ], [ "ONE LIFE", "has_genre", "DOCUMENTARY" ], [ "ONE LIFE", "release_year", "2011" ], [ "PEARL JAM TWENTY", "has_genre", "DOCUMENTARY" ], [ "PEARL JAM TWENTY", "release_year", "2011" ], [ "PINA", "has_genre", "DOCUMENTARY" ], [ "PINA", "has_tags", "DOCUMENTARY" ], [ "PINA", "release_year", "2011" ], [ "REVENGE OF THE ELECTRIC CAR", "has_genre", "DOCUMENTARY" ], [ "REVENGE OF THE ELECTRIC CAR", "release_year", "2011" ], [ "SURVIVING PROGRESS", "has_genre", "DOCUMENTARY" ], [ "SURVIVING PROGRESS", "has_tags", "DOCUMENTARY" ], [ "SURVIVING PROGRESS", "release_year", "2011" ], [ "THE AMBASSADOR", "has_genre", "DOCUMENTARY" ], [ "THE AMBASSADOR", "release_year", "2011" ], [ "THE BLACK POWER MIXTAPE 1967-1975", "has_genre", "DOCUMENTARY" ], [ "THE BLACK POWER MIXTAPE 1967-1975", "release_year", "2011" ], [ "THE CAPTAINS", "has_genre", "DOCUMENTARY" ], [ "THE CAPTAINS", "release_year", "2011" ], [ "THE FLAT", "has_genre", "DOCUMENTARY" ], [ "THE FLAT", "release_year", "2011" ], [ "THE INTERRUPTERS", "has_genre", "DOCUMENTARY" ], [ "THE INTERRUPTERS", "release_year", "2011" ], [ "THE LAST LIONS", "has_genre", "DOCUMENTARY" ], [ "THE LAST LIONS", "release_year", "2011" ], [ "THE LAST MOUNTAIN", "has_genre", "DOCUMENTARY" ], [ "THE LAST MOUNTAIN", "release_year", "2011" ], [ "THE OTHER F WORD", "has_genre", "DOCUMENTARY" ], [ "THE OTHER F WORD", "release_year", "2011" ], [ "THE VIOLENT YEARS", "release_year", "1956" ], [ "THESE AMAZING SHADOWS", "has_genre", "DOCUMENTARY" ], [ "THESE AMAZING SHADOWS", "release_year", "2011" ], [ "THIS IS NOT A FILM", "has_genre", "DOCUMENTARY" ], [ "THIS IS NOT A FILM", "release_year", "2011" ], [ "TOUTE LA MÉMOIRE DU MONDE", "has_genre", "DOCUMENTARY" ], [ "TOUTE LA MÉMOIRE DU MONDE", "release_year", "1956" ], [ "UNLAWFUL KILLING", "has_genre", "DOCUMENTARY" ], [ "UNLAWFUL KILLING", "release_year", "2011" ], [ "WHORES' GLORY", "has_genre", "DOCUMENTARY" ], [ "WHORES' GLORY", "has_tags", "DOCUMENTARY" ], [ "WHORES' GLORY", "release_year", "2011" ], [ "YOU'VE BEEN TRUMPED", "has_genre", "DOCUMENTARY" ], [ "YOU'VE BEEN TRUMPED", "release_year", "2011" ] ] }
metaqa	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 35935, 2002 4310, 24 HOUR PARTY PEOPLE 9408, 40 DAYS AND 40 NIGHTS 36647, 8 WOMEN 11957, 9 DEAD GAY GUYS 6008, ABOUT A BOY 37599, ABOUT SCHMIDT 17111, ALI G INDAHOUSE 22569, ALL ABOUT THE BENJAMINS 16113, ANALYZE THAT 35314, AUSTIN POWERS IN GOLDMEMBER 29535, AVENGING ANGELO 23899, BAD COMPANY 36819, BARBERSHOP 19159, BEER FOR MY HORSES 15433, BEND IT LIKE BECKHAM 39619, BIG FAT LIAR 8732, BIG TROUBLE 27128, BOAT TRIP 9565, BOYS AND GIRLS 32620, BUBBA HO-TEP 14572, BUYING THE COW 27929, CABIN FEVER 23286, CARNAGE 20073, CHERISH 10349, CHICAGO 32644, CHINESE ODYSSEY 2002 30463, COMEDY 21391, CRACKERJACK 30019, CROSSROADS 21730, DAY OF THE WACKO 14292, DEAD IN THE WATER 19179, DEATH TO SMOOCHY 21079, DIRTY DEEDS 25651, DUMMY 26815, EIGHT CRAZY NIGHTS 38543, EIGHT LEGGED FREAKS 27539, FRANK MCKLUSKY, C.I. 29241, FRIDAY AFTER NEXT 10990, HEARTLANDS 3829, HERO 15629, HOME ALONE 4 22069, I SPY 27919, I'M WITH LUCY 16371, ICE AGE 17197, IGBY GOES DOWN 33001, JUST A KISS 2204, JUWANNA MANN 32010, KISS THE BRIDE 12137, LIFE OR SOMETHING LIKE IT 28832, LIFE WITHOUT DICK 16155, LOVE LIZA 9812, MAID IN MANHATTAN 4270, MEN WITH BROOMS 39368, MICHAEL SALOMON 36083, MIRANDA 20803, MR. DEEDS 22064, MY BIG FAT GREEK WEDDING 4887, MY LEFT EYE SEES GHOSTS 35262, MY MOTHER LIKES WOMEN 35794, NOVO 1493, NOW YOU KNOW 2721, OCCIDENT 4582, ONCE UPON A TIME IN THE MIDLANDS 37178, ORANGE COUNTY 27117, PASSIONADA 9976, PIPE DREAM 3688, PUMPKIN 34602, PUNCH-DRUNK LOVE 21890, R.S.V.P. 25769, ROGER DODGER 12987, SCOOBY-DOO 19244, SERVING SARA 6603, SEX IS COMEDY 26261, SHOWTIME 15043, SLACKERS 25151, SNOW DOGS 24961, SORORITY BOYS 35843, SPUN 5170, STEALING HARVARD 15100, SUPER SUCKER 9276, SWEET HOME ALABAMA 26790, SWEPT AWAY 36316, THE ADVENTURES OF PLUTO NASH 2316, THE ANARCHIST COOKBOOK 304, THE BANGER SISTERS 11696, THE CUCKOO 3324, THE DANGEROUS LIVES OF ALTAR BOYS 914, THE GOOD GIRL 26531, THE GURU 24302, THE HOT CHICK 13534, THE IMPORTANCE OF BEING EARNEST 2147, THE MAN WITHOUT A PAST 6908, THE MASTER OF DISGUISE 295, THE NEW GUY 1192, THE ONE AND ONLY 31401, THE RULES OF ATTRACTION 7052, THE SWEETEST THING 34172, THE TUXEDO 10720, TRIGGERMEN 9612, TWO WEEKS NOTICE 13214, UNCONDITIONAL LOVE 16991, UNDERCOVER BROTHER 21576, WAKING UP IN RENO 37568, WELCOME TO COLLINWOOD 39802, WHEN IN ROME src, edge_attr, dst 4310, has_genre, 30463 4310, release_year, 35935 9408, has_genre, 30463 9408, has_tags, 30463 9408, release_year, 35935 36647, has_genre, 30463 36647, release_year, 35935 11957, has_genre, 30463 11957, release_year, 35935 6008, has_genre, 30463 6008, has_tags, 30463 6008, release_year, 35935 37599, has_genre, 30463 37599, has_tags, 30463 37599, release_year, 35935 17111, has_genre, 30463 17111, release_year, 35935 22569, has_genre, 30463 22569, has_tags, 30463 22569, release_year, 35935 16113, has_genre, 30463 16113, has_tags, 30463 16113, release_year, 35935 35314, has_genre, 30463 35314, has_tags, 30463 35314, release_year, 35935 29535, has_genre, 30463 29535, release_year, 35935 23899, has_genre, 30463 23899, release_year, 35935 36819, has_genre, 30463 36819, release_year, 35935 19159, directed_by, 39368 19159, has_genre, 30463 15433, has_genre, 30463 15433, release_year, 35935 39619, has_genre, 30463 39619, release_year, 35935 8732, has_genre, 30463 8732, release_year, 35935 27128, has_genre, 30463 27128, release_year, 35935 9565, has_genre, 30463 32620, has_genre, 30463 32620, has_tags, 30463 32620, release_year, 35935 14572, has_genre, 30463 14572, release_year, 35935 27929, has_genre, 30463 27929, release_year, 35935 23286, has_genre, 30463 23286, release_year, 35935 20073, has_genre, 30463 20073, release_year, 35935 10349, has_genre, 30463 10349, release_year, 35935 32644, has_genre, 30463 32644, release_year, 35935 21391, has_genre, 30463 21391, release_year, 35935 30019, has_genre, 30463 30019, release_year, 35935 21730, has_genre, 30463 21730, release_year, 35935 14292, release_year, 35935 19179, has_genre, 30463 19179, release_year, 35935 21079, has_genre, 30463 21079, has_tags, 30463 21079, release_year, 35935 25651, has_genre, 30463 25651, release_year, 35935 26815, has_genre, 30463 26815, release_year, 35935 38543, has_genre, 30463 38543, release_year, 35935 27539, has_genre, 30463 27539, release_year, 35935 29241, has_genre, 30463 29241, release_year, 35935 10990, has_genre, 30463 10990, release_year, 35935 3829, has_genre, 30463 3829, release_year, 35935 15629, has_genre, 30463 15629, release_year, 35935 22069, has_genre, 30463 22069, has_tags, 30463 22069, release_year, 35935 27919, has_genre, 30463 27919, release_year, 35935 16371, has_genre, 30463 16371, has_tags, 30463 16371, release_year, 35935 17197, has_genre, 30463 17197, release_year, 35935 33001, has_genre, 30463 33001, release_year, 35935 2204, has_genre, 30463 2204, release_year, 35935 32010, has_genre, 30463 32010, release_year, 35935 12137, has_genre, 30463 12137, release_year, 35935 28832, has_genre, 30463 28832, release_year, 35935 16155, has_genre, 30463 16155, release_year, 35935 9812, has_genre, 30463 9812, release_year, 35935 4270, has_genre, 30463 4270, release_year, 35935 36083, has_genre, 30463 36083, release_year, 35935 20803, has_genre, 30463 20803, release_year, 35935 22064, has_genre, 30463 22064, has_tags, 30463 22064, release_year, 35935 4887, has_genre, 30463 4887, release_year, 35935 35262, has_genre, 30463 35262, release_year, 35935 35794, has_genre, 30463 35794, release_year, 35935 1493, has_genre, 30463 1493, release_year, 35935 2721, has_genre, 30463 2721, release_year, 35935 4582, has_genre, 30463 4582, release_year, 35935 37178, has_genre, 30463 37178, release_year, 35935 27117, has_genre, 30463 27117, release_year, 35935 9976, has_genre, 30463 9976, release_year, 35935 3688, has_genre, 30463 3688, release_year, 35935 34602, has_genre, 30463 34602, has_tags, 30463 34602, release_year, 35935 21890, has_genre, 30463 21890, release_year, 35935 25769, has_genre, 30463 25769, release_year, 35935 12987, has_genre, 30463 12987, release_year, 35935 19244, has_genre, 30463 19244, release_year, 35935 6603, has_genre, 30463 6603, release_year, 35935 26261, has_genre, 30463 26261, release_year, 35935 15043, has_genre, 30463 15043, release_year, 35935 25151, has_genre, 30463 25151, release_year, 35935 24961, has_genre, 30463 24961, release_year, 35935 35843, has_genre, 30463 35843, release_year, 35935 5170, has_genre, 30463 5170, release_year, 35935 15100, has_genre, 30463 15100, release_year, 35935 9276, has_genre, 30463 9276, release_year, 35935 26790, has_genre, 30463 26790, release_year, 35935 36316, has_genre, 30463 36316, release_year, 35935 2316, has_genre, 30463 2316, release_year, 35935 304, has_genre, 30463 304, release_year, 35935 11696, has_genre, 30463 11696, release_year, 35935 3324, has_genre, 30463 3324, release_year, 35935 914, has_genre, 30463 914, release_year, 35935 26531, has_genre, 30463 26531, release_year, 35935 24302, has_genre, 30463 24302, has_tags, 30463 24302, release_year, 35935 13534, has_genre, 30463 13534, release_year, 35935 2147, has_genre, 30463 2147, release_year, 35935 6908, has_genre, 30463 6908, release_year, 35935 295, has_genre, 30463 295, release_year, 35935 1192, has_genre, 30463 1192, release_year, 35935 31401, has_genre, 30463 31401, release_year, 35935 7052, has_genre, 30463 7052, has_tags, 30463 7052, release_year, 35935 34172, has_genre, 30463 34172, has_tags, 30463 34172, release_year, 35935 10720, has_genre, 30463 10720, release_year, 35935 9612, has_genre, 30463 9612, release_year, 35935 13214, has_genre, 30463 13214, release_year, 35935 16991, has_genre, 30463 16991, release_year, 35935 21576, has_genre, 30463 21576, release_year, 35935 37568, has_genre, 30463 37568, has_tags, 30463 37568, release_year, 35935 39802, has_genre, 30463 39802, release_year, 35935 Question: How are BOYS AND GIRLS, DEAD IN THE WATER, and MICHAEL SALOMON related? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "BOYS AND GIRLS", "DEAD IN THE WATER", "MICHAEL SALOMON" ], "valid_edges": [ [ "24 HOUR PARTY PEOPLE", "has_genre", "COMEDY" ], [ "24 HOUR PARTY PEOPLE", "release_year", "2002" ], [ "40 DAYS AND 40 NIGHTS", "has_genre", "COMEDY" ], [ "40 DAYS AND 40 NIGHTS", "has_tags", "COMEDY" ], [ "40 DAYS AND 40 NIGHTS", "release_year", "2002" ], [ "8 WOMEN", "has_genre", "COMEDY" ], [ "8 WOMEN", "release_year", "2002" ], [ "9 DEAD GAY GUYS", "has_genre", "COMEDY" ], [ "9 DEAD GAY GUYS", "release_year", "2002" ], [ "ABOUT A BOY", "has_genre", "COMEDY" ], [ "ABOUT A BOY", "has_tags", "COMEDY" ], [ "ABOUT A BOY", "release_year", "2002" ], [ "ABOUT SCHMIDT", "has_genre", "COMEDY" ], [ "ABOUT SCHMIDT", "has_tags", "COMEDY" ], [ "ABOUT SCHMIDT", "release_year", "2002" ], [ "ALI G INDAHOUSE", "has_genre", "COMEDY" ], [ "ALI G INDAHOUSE", "release_year", "2002" ], [ "ALL ABOUT THE BENJAMINS", "has_genre", "COMEDY" ], [ "ALL ABOUT THE BENJAMINS", "has_tags", "COMEDY" ], [ "ALL ABOUT THE BENJAMINS", "release_year", "2002" ], [ "ANALYZE THAT", "has_genre", "COMEDY" ], [ "ANALYZE THAT", "has_tags", "COMEDY" ], [ "ANALYZE THAT", "release_year", "2002" ], [ "AUSTIN POWERS IN GOLDMEMBER", "has_genre", "COMEDY" ], [ "AUSTIN POWERS IN GOLDMEMBER", "has_tags", "COMEDY" ], [ "AUSTIN POWERS IN GOLDMEMBER", "release_year", "2002" ], [ "AVENGING ANGELO", "has_genre", "COMEDY" ], [ "AVENGING ANGELO", "release_year", "2002" ], [ "BAD COMPANY", "has_genre", "COMEDY" ], [ "BAD COMPANY", "release_year", "2002" ], [ "BARBERSHOP", "has_genre", "COMEDY" ], [ "BARBERSHOP", "release_year", "2002" ], [ "BEER FOR MY HORSES", "directed_by", "MICHAEL SALOMON" ], [ "BEER FOR MY HORSES", "has_genre", "COMEDY" ], [ "BEND IT LIKE BECKHAM", "has_genre", "COMEDY" ], [ "BEND IT LIKE BECKHAM", "release_year", "2002" ], [ "BIG FAT LIAR", "has_genre", "COMEDY" ], [ "BIG FAT LIAR", "release_year", "2002" ], [ "BIG TROUBLE", "has_genre", "COMEDY" ], [ "BIG TROUBLE", "release_year", "2002" ], [ "BOAT TRIP", "has_genre", "COMEDY" ], [ "BOAT TRIP", "release_year", "2002" ], [ "BOYS AND GIRLS", "has_genre", "COMEDY" ], [ "BUBBA HO-TEP", "has_genre", "COMEDY" ], [ "BUBBA HO-TEP", "has_tags", "COMEDY" ], [ "BUBBA HO-TEP", "release_year", "2002" ], [ "BUYING THE COW", "has_genre", "COMEDY" ], [ "BUYING THE COW", "release_year", "2002" ], [ "CABIN FEVER", "has_genre", "COMEDY" ], [ "CABIN FEVER", "release_year", "2002" ], [ "CARNAGE", "has_genre", "COMEDY" ], [ "CARNAGE", "release_year", "2002" ], [ "CHERISH", "has_genre", "COMEDY" ], [ "CHERISH", "release_year", "2002" ], [ "CHICAGO", "has_genre", "COMEDY" ], [ "CHICAGO", "release_year", "2002" ], [ "CHINESE ODYSSEY 2002", "has_genre", "COMEDY" ], [ "CHINESE ODYSSEY 2002", "release_year", "2002" ], [ "CRACKERJACK", "has_genre", "COMEDY" ], [ "CRACKERJACK", "release_year", "2002" ], [ "CROSSROADS", "has_genre", "COMEDY" ], [ "CROSSROADS", "release_year", "2002" ], [ "DAY OF THE WACKO", "has_genre", "COMEDY" ], [ "DAY OF THE WACKO", "release_year", "2002" ], [ "DEAD IN THE WATER", "release_year", "2002" ], [ "DEATH TO SMOOCHY", "has_genre", "COMEDY" ], [ "DEATH TO SMOOCHY", "release_year", "2002" ], [ "DIRTY DEEDS", "has_genre", "COMEDY" ], [ "DIRTY DEEDS", "has_tags", "COMEDY" ], [ "DIRTY DEEDS", "release_year", "2002" ], [ "DUMMY", "has_genre", "COMEDY" ], [ "DUMMY", "release_year", "2002" ], [ "EIGHT CRAZY NIGHTS", "has_genre", "COMEDY" ], [ "EIGHT CRAZY NIGHTS", "release_year", "2002" ], [ "EIGHT LEGGED FREAKS", "has_genre", "COMEDY" ], [ "EIGHT LEGGED FREAKS", "release_year", "2002" ], [ "FRANK MCKLUSKY, C.I.", "has_genre", "COMEDY" ], [ "FRANK MCKLUSKY, C.I.", "release_year", "2002" ], [ "FRIDAY AFTER NEXT", "has_genre", "COMEDY" ], [ "FRIDAY AFTER NEXT", "release_year", "2002" ], [ "HEARTLANDS", "has_genre", "COMEDY" ], [ "HEARTLANDS", "release_year", "2002" ], [ "HERO", "has_genre", "COMEDY" ], [ "HERO", "release_year", "2002" ], [ "HOME ALONE 4", "has_genre", "COMEDY" ], [ "HOME ALONE 4", "release_year", "2002" ], [ "I SPY", "has_genre", "COMEDY" ], [ "I SPY", "has_tags", "COMEDY" ], [ "I SPY", "release_year", "2002" ], [ "I'M WITH LUCY", "has_genre", "COMEDY" ], [ "I'M WITH LUCY", "release_year", "2002" ], [ "ICE AGE", "has_genre", "COMEDY" ], [ "ICE AGE", "has_tags", "COMEDY" ], [ "ICE AGE", "release_year", "2002" ], [ "IGBY GOES DOWN", "has_genre", "COMEDY" ], [ "IGBY GOES DOWN", "release_year", "2002" ], [ "JUST A KISS", "has_genre", "COMEDY" ], [ "JUST A KISS", "release_year", "2002" ], [ "JUWANNA MANN", "has_genre", "COMEDY" ], [ "JUWANNA MANN", "release_year", "2002" ], [ "KISS THE BRIDE", "has_genre", "COMEDY" ], [ "KISS THE BRIDE", "release_year", "2002" ], [ "LIFE OR SOMETHING LIKE IT", "has_genre", "COMEDY" ], [ "LIFE OR SOMETHING LIKE IT", "release_year", "2002" ], [ "LIFE WITHOUT DICK", "has_genre", "COMEDY" ], [ "LIFE WITHOUT DICK", "release_year", "2002" ], [ "LOVE LIZA", "has_genre", "COMEDY" ], [ "LOVE LIZA", "release_year", "2002" ], [ "MAID IN MANHATTAN", "has_genre", "COMEDY" ], [ "MAID IN MANHATTAN", "release_year", "2002" ], [ "MEN WITH BROOMS", "has_genre", "COMEDY" ], [ "MEN WITH BROOMS", "release_year", "2002" ], [ "MIRANDA", "has_genre", "COMEDY" ], [ "MIRANDA", "release_year", "2002" ], [ "MR. DEEDS", "has_genre", "COMEDY" ], [ "MR. DEEDS", "release_year", "2002" ], [ "MY BIG FAT GREEK WEDDING", "has_genre", "COMEDY" ], [ "MY BIG FAT GREEK WEDDING", "has_tags", "COMEDY" ], [ "MY BIG FAT GREEK WEDDING", "release_year", "2002" ], [ "MY LEFT EYE SEES GHOSTS", "has_genre", "COMEDY" ], [ "MY LEFT EYE SEES GHOSTS", "release_year", "2002" ], [ "MY MOTHER LIKES WOMEN", "has_genre", "COMEDY" ], [ "MY MOTHER LIKES WOMEN", "release_year", "2002" ], [ "NOVO", "has_genre", "COMEDY" ], [ "NOVO", "release_year", "2002" ], [ "NOW YOU KNOW", "has_genre", "COMEDY" ], [ "NOW YOU KNOW", "release_year", "2002" ], [ "OCCIDENT", "has_genre", "COMEDY" ], [ "OCCIDENT", "release_year", "2002" ], [ "ONCE UPON A TIME IN THE MIDLANDS", "has_genre", "COMEDY" ], [ "ONCE UPON A TIME IN THE MIDLANDS", "release_year", "2002" ], [ "ORANGE COUNTY", "has_genre", "COMEDY" ], [ "ORANGE COUNTY", "release_year", "2002" ], [ "PASSIONADA", "has_genre", "COMEDY" ], [ "PASSIONADA", "release_year", "2002" ], [ "PIPE DREAM", "has_genre", "COMEDY" ], [ "PIPE DREAM", "release_year", "2002" ], [ "PUMPKIN", "has_genre", "COMEDY" ], [ "PUMPKIN", "release_year", "2002" ], [ "PUNCH-DRUNK LOVE", "has_genre", "COMEDY" ], [ "PUNCH-DRUNK LOVE", "has_tags", "COMEDY" ], [ "PUNCH-DRUNK LOVE", "release_year", "2002" ], [ "R.S.V.P.", "has_genre", "COMEDY" ], [ "R.S.V.P.", "release_year", "2002" ], [ "ROGER DODGER", "has_genre", "COMEDY" ], [ "ROGER DODGER", "release_year", "2002" ], [ "SCOOBY-DOO", "has_genre", "COMEDY" ], [ "SCOOBY-DOO", "release_year", "2002" ], [ "SERVING SARA", "has_genre", "COMEDY" ], [ "SERVING SARA", "release_year", "2002" ], [ "SEX IS COMEDY", "has_genre", "COMEDY" ], [ "SEX IS COMEDY", "release_year", "2002" ], [ "SHOWTIME", "has_genre", "COMEDY" ], [ "SHOWTIME", "release_year", "2002" ], [ "SLACKERS", "has_genre", "COMEDY" ], [ "SLACKERS", "release_year", "2002" ], [ "SNOW DOGS", "has_genre", "COMEDY" ], [ "SNOW DOGS", "release_year", "2002" ], [ "SORORITY BOYS", "has_genre", "COMEDY" ], [ "SORORITY BOYS", "release_year", "2002" ], [ "SPUN", "has_genre", "COMEDY" ], [ "SPUN", "release_year", "2002" ], [ "STEALING HARVARD", "has_genre", "COMEDY" ], [ "STEALING HARVARD", "release_year", "2002" ], [ "SUPER SUCKER", "has_genre", "COMEDY" ], [ "SUPER SUCKER", "release_year", "2002" ], [ "SWEET HOME ALABAMA", "has_genre", "COMEDY" ], [ "SWEET HOME ALABAMA", "release_year", "2002" ], [ "SWEPT AWAY", "has_genre", "COMEDY" ], [ "SWEPT AWAY", "release_year", "2002" ], [ "THE ADVENTURES OF PLUTO NASH", "has_genre", "COMEDY" ], [ "THE ADVENTURES OF PLUTO NASH", "release_year", "2002" ], [ "THE ANARCHIST COOKBOOK", "has_genre", "COMEDY" ], [ "THE ANARCHIST COOKBOOK", "release_year", "2002" ], [ "THE BANGER SISTERS", "has_genre", "COMEDY" ], [ "THE BANGER SISTERS", "release_year", "2002" ], [ "THE CUCKOO", "has_genre", "COMEDY" ], [ "THE CUCKOO", "release_year", "2002" ], [ "THE DANGEROUS LIVES OF ALTAR BOYS", "has_genre", "COMEDY" ], [ "THE DANGEROUS LIVES OF ALTAR BOYS", "release_year", "2002" ], [ "THE GOOD GIRL", "has_genre", "COMEDY" ], [ "THE GOOD GIRL", "release_year", "2002" ], [ "THE GURU", "has_genre", "COMEDY" ], [ "THE GURU", "release_year", "2002" ], [ "THE HOT CHICK", "has_genre", "COMEDY" ], [ "THE HOT CHICK", "has_tags", "COMEDY" ], [ "THE HOT CHICK", "release_year", "2002" ], [ "THE IMPORTANCE OF BEING EARNEST", "has_genre", "COMEDY" ], [ "THE IMPORTANCE OF BEING EARNEST", "release_year", "2002" ], [ "THE MAN WITHOUT A PAST", "has_genre", "COMEDY" ], [ "THE MAN WITHOUT A PAST", "release_year", "2002" ], [ "THE MASTER OF DISGUISE", "has_genre", "COMEDY" ], [ "THE MASTER OF DISGUISE", "release_year", "2002" ], [ "THE NEW GUY", "has_genre", "COMEDY" ], [ "THE NEW GUY", "release_year", "2002" ], [ "THE ONE AND ONLY", "has_genre", "COMEDY" ], [ "THE ONE AND ONLY", "release_year", "2002" ], [ "THE RULES OF ATTRACTION", "has_genre", "COMEDY" ], [ "THE RULES OF ATTRACTION", "release_year", "2002" ], [ "THE SWEETEST THING", "has_genre", "COMEDY" ], [ "THE SWEETEST THING", "has_tags", "COMEDY" ], [ "THE SWEETEST THING", "release_year", "2002" ], [ "THE TUXEDO", "has_genre", "COMEDY" ], [ "THE TUXEDO", "has_tags", "COMEDY" ], [ "THE TUXEDO", "release_year", "2002" ], [ "TRIGGERMEN", "has_genre", "COMEDY" ], [ "TRIGGERMEN", "release_year", "2002" ], [ "TWO WEEKS NOTICE", "has_genre", "COMEDY" ], [ "TWO WEEKS NOTICE", "release_year", "2002" ], [ "UNCONDITIONAL LOVE", "has_genre", "COMEDY" ], [ "UNCONDITIONAL LOVE", "release_year", "2002" ], [ "UNDERCOVER BROTHER", "has_genre", "COMEDY" ], [ "UNDERCOVER BROTHER", "release_year", "2002" ], [ "WAKING UP IN RENO", "has_genre", "COMEDY" ], [ "WAKING UP IN RENO", "release_year", "2002" ], [ "WELCOME TO COLLINWOOD", "has_genre", "COMEDY" ], [ "WELCOME TO COLLINWOOD", "has_tags", "COMEDY" ], [ "WELCOME TO COLLINWOOD", "release_year", "2002" ], [ "WHEN IN ROME", "has_genre", "COMEDY" ], [ "WHEN IN ROME", "release_year", "2002" ] ] }
metaqa	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 15374, 2005 4763, ADVENTURE 5155, DANNY DYER 7498, FLIGHTPLAN 37073, MRS. PALFREY AT THE CLAREMONT 24949, NICK LOVE 24746, NOAH RINGER 13539, OUTLAW 21756, RUPERT FRIEND 11043, SEAN BEAN 29129, THE ADVENTURES OF ROBIN HOOD 35282, THE BUSINESS 32465, THE FOOTBALL FACTORY 38073, THE LAST AIRBENDER 4786, THE WILLOW TREE src, edge_attr, dst 7498, release_year, 15374 7498, starred_actors, 11043 37073, release_year, 15374 37073, starred_actors, 21756 13539, directed_by, 24949 13539, starred_actors, 5155 13539, starred_actors, 21756 13539, starred_actors, 11043 13539, written_by, 24949 29129, has_genre, 4763 29129, has_tags, 13539 35282, directed_by, 24949 35282, release_year, 15374 35282, starred_actors, 5155 35282, written_by, 24949 32465, directed_by, 24949 32465, starred_actors, 5155 32465, written_by, 24949 38073, has_genre, 4763 38073, starred_actors, 24746 4786, release_year, 15374 Question: In what context are NOAH RINGER, OUTLAW, and THE WILLOW TREE connected? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "NOAH RINGER", "OUTLAW", "THE WILLOW TREE" ], "valid_edges": [ [ "FLIGHTPLAN", "release_year", "2005" ], [ "FLIGHTPLAN", "starred_actors", "SEAN BEAN" ], [ "MRS. PALFREY AT THE CLAREMONT", "release_year", "2005" ], [ "MRS. PALFREY AT THE CLAREMONT", "starred_actors", "RUPERT FRIEND" ], [ "OUTLAW", "directed_by", "NICK LOVE" ], [ "OUTLAW", "starred_actors", "DANNY DYER" ], [ "OUTLAW", "starred_actors", "RUPERT FRIEND" ], [ "OUTLAW", "starred_actors", "SEAN BEAN" ], [ "OUTLAW", "written_by", "NICK LOVE" ], [ "THE ADVENTURES OF ROBIN HOOD", "has_genre", "ADVENTURE" ], [ "THE ADVENTURES OF ROBIN HOOD", "has_tags", "OUTLAW" ], [ "THE BUSINESS", "directed_by", "NICK LOVE" ], [ "THE BUSINESS", "release_year", "2005" ], [ "THE BUSINESS", "starred_actors", "DANNY DYER" ], [ "THE BUSINESS", "written_by", "NICK LOVE" ], [ "THE FOOTBALL FACTORY", "directed_by", "NICK LOVE" ], [ "THE FOOTBALL FACTORY", "starred_actors", "DANNY DYER" ], [ "THE FOOTBALL FACTORY", "written_by", "NICK LOVE" ], [ "THE LAST AIRBENDER", "has_genre", "ADVENTURE" ], [ "THE LAST AIRBENDER", "starred_actors", "NOAH RINGER" ], [ "THE WILLOW TREE", "release_year", "2005" ] ] }
metaqa	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 29424, 2011 9377, 2014 5906, ANDREW WIGHT 31095, BRIDESMAIDS 33773, BÉBÉ'S KIDS 13812, CALVARY 33403, CHRIS O'DOWD 30463, COMEDY 36212, DRAMA 26412, FRIENDS WITH KIDS 17037, HOUSE PARTY 22972, MAYA RUDOLPH 29527, MELISSA MCCARTHY 22173, REGINALD HUDLIN 29173, ROBIN HARRIS 7209, SANCTUM 19715, ST. VINCENT src, edge_attr, dst 31095, has_genre, 30463 31095, has_tags, 33403 31095, has_tags, 30463 31095, has_tags, 22972 31095, has_tags, 29527 31095, release_year, 29424 31095, starred_actors, 22972 33773, has_genre, 30463 33773, starred_actors, 29173 33773, written_by, 22173 33773, written_by, 29173 13812, has_genre, 36212 13812, has_tags, 33403 13812, release_year, 9377 13812, starred_actors, 33403 26412, has_genre, 30463 26412, has_tags, 33403 26412, has_tags, 22972 26412, release_year, 29424 26412, starred_actors, 33403 26412, starred_actors, 22972 17037, directed_by, 22173 17037, has_genre, 30463 17037, has_tags, 22173 17037, starred_actors, 29173 17037, written_by, 22173 7209, has_genre, 36212 7209, release_year, 29424 7209, written_by, 5906 19715, has_genre, 30463 19715, has_genre, 36212 19715, has_tags, 33403 19715, has_tags, 29527 19715, release_year, 9377 19715, starred_actors, 33403 19715, starred_actors, 29527 Question: In what context are ANDREW WIGHT, CHRIS O'DOWD, and ROBIN HARRIS connected? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "ANDREW WIGHT", "CHRIS O'DOWD", "ROBIN HARRIS" ], "valid_edges": [ [ "BRIDESMAIDS", "has_genre", "COMEDY" ], [ "BRIDESMAIDS", "has_tags", "CHRIS O'DOWD" ], [ "BRIDESMAIDS", "has_tags", "COMEDY" ], [ "BRIDESMAIDS", "has_tags", "MAYA RUDOLPH" ], [ "BRIDESMAIDS", "has_tags", "MELISSA MCCARTHY" ], [ "BRIDESMAIDS", "release_year", "2011" ], [ "BRIDESMAIDS", "starred_actors", "MAYA RUDOLPH" ], [ "BÉBÉ'S KIDS", "has_genre", "COMEDY" ], [ "BÉBÉ'S KIDS", "starred_actors", "ROBIN HARRIS" ], [ "BÉBÉ'S KIDS", "written_by", "REGINALD HUDLIN" ], [ "BÉBÉ'S KIDS", "written_by", "ROBIN HARRIS" ], [ "CALVARY", "has_genre", "DRAMA" ], [ "CALVARY", "has_tags", "CHRIS O'DOWD" ], [ "CALVARY", "release_year", "2014" ], [ "CALVARY", "starred_actors", "CHRIS O'DOWD" ], [ "FRIENDS WITH KIDS", "has_genre", "COMEDY" ], [ "FRIENDS WITH KIDS", "has_tags", "CHRIS O'DOWD" ], [ "FRIENDS WITH KIDS", "has_tags", "MAYA RUDOLPH" ], [ "FRIENDS WITH KIDS", "release_year", "2011" ], [ "FRIENDS WITH KIDS", "starred_actors", "CHRIS O'DOWD" ], [ "FRIENDS WITH KIDS", "starred_actors", "MAYA RUDOLPH" ], [ "HOUSE PARTY", "directed_by", "REGINALD HUDLIN" ], [ "HOUSE PARTY", "has_genre", "COMEDY" ], [ "HOUSE PARTY", "has_tags", "REGINALD HUDLIN" ], [ "HOUSE PARTY", "starred_actors", "ROBIN HARRIS" ], [ "HOUSE PARTY", "written_by", "REGINALD HUDLIN" ], [ "SANCTUM", "has_genre", "DRAMA" ], [ "SANCTUM", "release_year", "2011" ], [ "SANCTUM", "written_by", "ANDREW WIGHT" ], [ "ST. VINCENT", "has_genre", "COMEDY" ], [ "ST. VINCENT", "has_genre", "DRAMA" ], [ "ST. VINCENT", "has_tags", "CHRIS O'DOWD" ], [ "ST. VINCENT", "has_tags", "MELISSA MCCARTHY" ], [ "ST. VINCENT", "release_year", "2014" ], [ "ST. VINCENT", "starred_actors", "CHRIS O'DOWD" ], [ "ST. VINCENT", "starred_actors", "MELISSA MCCARTHY" ] ] }
metaqa	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 26002, 10 TO MIDNIGHT 25221, 1981 15206, ANTHOLOGY 35575, CHARLES BRONSON 2979, DEATH HUNT 32864, GHOST STORY 27238, HAPPY BIRTHDAY TO ME 25412, HOOD OF HORROR 19805, J. LEE THOMPSON 4418, KWAIDAN 30157, LOLA 10823, MESSENGER OF DEATH 156, MURPHY'S LAW 28357, ST. IVES 2878, THE EVIL THAT MEN DO src, edge_attr, dst 26002, directed_by, 19805 26002, starred_actors, 35575 2979, release_year, 25221 2979, starred_actors, 35575 32864, release_year, 25221 27238, directed_by, 19805 27238, release_year, 25221 25412, has_tags, 15206 4418, has_tags, 15206 4418, has_tags, 32864 30157, release_year, 25221 30157, starred_actors, 35575 10823, directed_by, 19805 10823, starred_actors, 35575 156, directed_by, 19805 156, starred_actors, 35575 28357, directed_by, 19805 28357, starred_actors, 35575 2878, directed_by, 19805 2878, starred_actors, 35575 Question: In what context are GHOST STORY, HOOD OF HORROR, and MURPHY'S LAW connected? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "GHOST STORY", "HOOD OF HORROR", "MURPHY'S LAW" ], "valid_edges": [ [ "10 TO MIDNIGHT", "directed_by", "J. LEE THOMPSON" ], [ "10 TO MIDNIGHT", "starred_actors", "CHARLES BRONSON" ], [ "DEATH HUNT", "release_year", "1981" ], [ "DEATH HUNT", "starred_actors", "CHARLES BRONSON" ], [ "GHOST STORY", "release_year", "1981" ], [ "HAPPY BIRTHDAY TO ME", "directed_by", "J. LEE THOMPSON" ], [ "HAPPY BIRTHDAY TO ME", "release_year", "1981" ], [ "HOOD OF HORROR", "has_tags", "ANTHOLOGY" ], [ "KWAIDAN", "has_tags", "ANTHOLOGY" ], [ "KWAIDAN", "has_tags", "GHOST STORY" ], [ "LOLA", "release_year", "1981" ], [ "LOLA", "starred_actors", "CHARLES BRONSON" ], [ "MESSENGER OF DEATH", "directed_by", "J. LEE THOMPSON" ], [ "MESSENGER OF DEATH", "starred_actors", "CHARLES BRONSON" ], [ "MURPHY'S LAW", "directed_by", "J. LEE THOMPSON" ], [ "MURPHY'S LAW", "starred_actors", "CHARLES BRONSON" ], [ "ST. IVES", "directed_by", "J. LEE THOMPSON" ], [ "ST. IVES", "starred_actors", "CHARLES BRONSON" ], [ "THE EVIL THAT MEN DO", "directed_by", "J. LEE THOMPSON" ], [ "THE EVIL THAT MEN DO", "starred_actors", "CHARLES BRONSON" ] ] }
metaqa	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 26513, EDMOND O'BRIEN 31783, ENGLISH 819, FIST OF THE NORTH STAR 15667, HUMPHREY BOGART 8239, KID GALAHAD 13889, MICHAEL CURTIZ 32167, SETON I. MILLER 7554, THE BAREFOOT CONTESSA 11265, THE SEA HAWK 11351, TONY RANDEL src, edge_attr, dst 819, directed_by, 11351 819, in_language, 31783 819, written_by, 11351 8239, directed_by, 13889 8239, has_tags, 13889 8239, starred_actors, 15667 8239, written_by, 32167 7554, starred_actors, 26513 7554, starred_actors, 15667 11265, directed_by, 13889 11265, has_tags, 13889 11265, in_language, 31783 11265, written_by, 32167 Question: In what context are EDMOND O'BRIEN, SETON I. MILLER, and TONY RANDEL connected? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "EDMOND O'BRIEN", "SETON I. MILLER", "TONY RANDEL" ], "valid_edges": [ [ "FIST OF THE NORTH STAR", "directed_by", "TONY RANDEL" ], [ "FIST OF THE NORTH STAR", "in_language", "ENGLISH" ], [ "FIST OF THE NORTH STAR", "written_by", "TONY RANDEL" ], [ "KID GALAHAD", "directed_by", "MICHAEL CURTIZ" ], [ "KID GALAHAD", "has_tags", "MICHAEL CURTIZ" ], [ "KID GALAHAD", "starred_actors", "HUMPHREY BOGART" ], [ "KID GALAHAD", "written_by", "SETON I. MILLER" ], [ "THE BAREFOOT CONTESSA", "starred_actors", "EDMOND O'BRIEN" ], [ "THE BAREFOOT CONTESSA", "starred_actors", "HUMPHREY BOGART" ], [ "THE SEA HAWK", "directed_by", "MICHAEL CURTIZ" ], [ "THE SEA HAWK", "has_tags", "MICHAEL CURTIZ" ], [ "THE SEA HAWK", "in_language", "ENGLISH" ], [ "THE SEA HAWK", "written_by", "SETON I. MILLER" ] ] }
metaqa	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 32082, 11-11-11 18132, 1938 658, 2012 30146, A CHRISTMAS CAROL 25735, ALAN MOWBRAY 6793, AND THEN THERE WERE NONE 10045, BD-R 38850, BILLIE BURKE 235, BRINGING UP BABY 38693, CHILD BRIDE 32610, CONSTANCE BENNETT 12161, DARREN LYNN BOUSMAN 24481, FRANCHISE 7289, HOLIDAY 5870, HORROR 14156, KING SOLOMON'S MINES 628, LEIGH WHANNELL 10284, LOVE FINDS ANDY HARDY 21045, MAX SCHRECK 3092, MERRILY WE LIVE 24593, MUSICAL 32891, NOSFERATU 33032, PORT OF SHADOWS 30416, REPO! THE GENETIC OPERA 27857, ROLAND YOUNG 6201, ROOM SERVICE 2561, SAW II 5812, SAW III 22536, SAW IV 13197, SHAWNEE SMITH 22336, TERRANCE ZDUNICH 8220, THAT HAMILTON WOMAN 3223, THE BARKLEYS OF BROADWAY 25250, THE BARRENS 7153, THE DEVIL'S CARNIVAL 4091, THE LADY VANISHES 5128, THERE GOES MY HEART 12105, TOBIN BELL 9800, TOPPER TAKES A TRIP 9050, WHAT PRICE HOLLYWOOD? src, edge_attr, dst 32082, directed_by, 12161 32082, has_genre, 5870 32082, written_by, 12161 30146, has_tags, 10045 30146, release_year, 18132 6793, has_tags, 10045 6793, starred_actors, 27857 235, has_tags, 10045 235, release_year, 18132 38693, has_tags, 10045 38693, release_year, 18132 7289, has_tags, 10045 7289, release_year, 18132 14156, has_tags, 10045 14156, starred_actors, 27857 10284, has_tags, 10045 10284, release_year, 18132 3092, has_tags, 10045 3092, release_year, 18132 3092, starred_actors, 25735 3092, starred_actors, 38850 3092, starred_actors, 32610 32891, has_genre, 5870 32891, has_tags, 10045 32891, starred_actors, 21045 33032, has_tags, 10045 33032, release_year, 18132 30416, directed_by, 12161 30416, has_genre, 5870 30416, has_genre, 24593 30416, has_tags, 24593 30416, written_by, 22336 6201, has_tags, 10045 6201, release_year, 18132 2561, directed_by, 12161 2561, has_genre, 5870 2561, has_tags, 12161 2561, has_tags, 24481 2561, has_tags, 5870 2561, starred_actors, 13197 2561, starred_actors, 12105 2561, written_by, 12161 2561, written_by, 628 5812, directed_by, 12161 5812, has_genre, 5870 5812, has_tags, 12161 5812, has_tags, 24481 5812, starred_actors, 13197 5812, starred_actors, 12105 5812, written_by, 628 22536, directed_by, 12161 22536, has_genre, 5870 22536, has_tags, 12161 22536, has_tags, 24481 22536, starred_actors, 12105 8220, has_tags, 10045 8220, starred_actors, 25735 3223, has_tags, 10045 3223, starred_actors, 38850 25250, directed_by, 12161 25250, has_genre, 5870 25250, release_year, 658 25250, written_by, 12161 7153, directed_by, 12161 7153, has_genre, 5870 7153, has_genre, 24593 7153, release_year, 658 7153, starred_actors, 22336 7153, written_by, 22336 4091, has_tags, 10045 4091, release_year, 18132 5128, has_tags, 10045 5128, release_year, 18132 9800, has_tags, 10045 9800, release_year, 18132 9800, starred_actors, 25735 9800, starred_actors, 38850 9800, starred_actors, 32610 9800, starred_actors, 27857 9050, has_tags, 10045 9050, starred_actors, 32610 Question: For what reason are DARREN LYNN BOUSMAN, MAX SCHRECK, and TOPPER TAKES A TRIP associated? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "DARREN LYNN BOUSMAN", "MAX SCHRECK", "TOPPER TAKES A TRIP" ], "valid_edges": [ [ "11-11-11", "directed_by", "DARREN LYNN BOUSMAN" ], [ "11-11-11", "has_genre", "HORROR" ], [ "11-11-11", "written_by", "DARREN LYNN BOUSMAN" ], [ "A CHRISTMAS CAROL", "has_tags", "BD-R" ], [ "A CHRISTMAS CAROL", "release_year", "1938" ], [ "AND THEN THERE WERE NONE", "has_tags", "BD-R" ], [ "AND THEN THERE WERE NONE", "starred_actors", "ROLAND YOUNG" ], [ "BRINGING UP BABY", "has_tags", "BD-R" ], [ "BRINGING UP BABY", "release_year", "1938" ], [ "CHILD BRIDE", "has_tags", "BD-R" ], [ "CHILD BRIDE", "release_year", "1938" ], [ "HOLIDAY", "has_tags", "BD-R" ], [ "HOLIDAY", "release_year", "1938" ], [ "KING SOLOMON'S MINES", "has_tags", "BD-R" ], [ "KING SOLOMON'S MINES", "starred_actors", "ROLAND YOUNG" ], [ "LOVE FINDS ANDY HARDY", "has_tags", "BD-R" ], [ "LOVE FINDS ANDY HARDY", "release_year", "1938" ], [ "MERRILY WE LIVE", "has_tags", "BD-R" ], [ "MERRILY WE LIVE", "release_year", "1938" ], [ "MERRILY WE LIVE", "starred_actors", "ALAN MOWBRAY" ], [ "MERRILY WE LIVE", "starred_actors", "BILLIE BURKE" ], [ "MERRILY WE LIVE", "starred_actors", "CONSTANCE BENNETT" ], [ "NOSFERATU", "has_genre", "HORROR" ], [ "NOSFERATU", "has_tags", "BD-R" ], [ "NOSFERATU", "starred_actors", "MAX SCHRECK" ], [ "PORT OF SHADOWS", "has_tags", "BD-R" ], [ "PORT OF SHADOWS", "release_year", "1938" ], [ "REPO! THE GENETIC OPERA", "directed_by", "DARREN LYNN BOUSMAN" ], [ "REPO! THE GENETIC OPERA", "has_genre", "HORROR" ], [ "REPO! THE GENETIC OPERA", "has_genre", "MUSICAL" ], [ "REPO! THE GENETIC OPERA", "has_tags", "MUSICAL" ], [ "REPO! THE GENETIC OPERA", "written_by", "TERRANCE ZDUNICH" ], [ "ROOM SERVICE", "has_tags", "BD-R" ], [ "ROOM SERVICE", "release_year", "1938" ], [ "SAW II", "directed_by", "DARREN LYNN BOUSMAN" ], [ "SAW II", "has_genre", "HORROR" ], [ "SAW II", "has_tags", "DARREN LYNN BOUSMAN" ], [ "SAW II", "has_tags", "FRANCHISE" ], [ "SAW II", "has_tags", "HORROR" ], [ "SAW II", "starred_actors", "SHAWNEE SMITH" ], [ "SAW II", "starred_actors", "TOBIN BELL" ], [ "SAW II", "written_by", "DARREN LYNN BOUSMAN" ], [ "SAW II", "written_by", "LEIGH WHANNELL" ], [ "SAW III", "directed_by", "DARREN LYNN BOUSMAN" ], [ "SAW III", "has_genre", "HORROR" ], [ "SAW III", "has_tags", "DARREN LYNN BOUSMAN" ], [ "SAW III", "has_tags", "FRANCHISE" ], [ "SAW III", "starred_actors", "SHAWNEE SMITH" ], [ "SAW III", "starred_actors", "TOBIN BELL" ], [ "SAW III", "written_by", "LEIGH WHANNELL" ], [ "SAW IV", "directed_by", "DARREN LYNN BOUSMAN" ], [ "SAW IV", "has_genre", "HORROR" ], [ "SAW IV", "has_tags", "DARREN LYNN BOUSMAN" ], [ "SAW IV", "has_tags", "FRANCHISE" ], [ "SAW IV", "starred_actors", "TOBIN BELL" ], [ "THAT HAMILTON WOMAN", "has_tags", "BD-R" ], [ "THAT HAMILTON WOMAN", "starred_actors", "ALAN MOWBRAY" ], [ "THE BARKLEYS OF BROADWAY", "has_tags", "BD-R" ], [ "THE BARKLEYS OF BROADWAY", "starred_actors", "BILLIE BURKE" ], [ "THE BARRENS", "directed_by", "DARREN LYNN BOUSMAN" ], [ "THE BARRENS", "has_genre", "HORROR" ], [ "THE BARRENS", "release_year", "2012" ], [ "THE BARRENS", "written_by", "DARREN LYNN BOUSMAN" ], [ "THE DEVIL'S CARNIVAL", "directed_by", "DARREN LYNN BOUSMAN" ], [ "THE DEVIL'S CARNIVAL", "has_genre", "HORROR" ], [ "THE DEVIL'S CARNIVAL", "has_genre", "MUSICAL" ], [ "THE DEVIL'S CARNIVAL", "release_year", "2012" ], [ "THE DEVIL'S CARNIVAL", "starred_actors", "TERRANCE ZDUNICH" ], [ "THE DEVIL'S CARNIVAL", "written_by", "TERRANCE ZDUNICH" ], [ "THE LADY VANISHES", "has_tags", "BD-R" ], [ "THE LADY VANISHES", "release_year", "1938" ], [ "THERE GOES MY HEART", "has_tags", "BD-R" ], [ "THERE GOES MY HEART", "release_year", "1938" ], [ "TOPPER TAKES A TRIP", "has_tags", "BD-R" ], [ "TOPPER TAKES A TRIP", "release_year", "1938" ], [ "TOPPER TAKES A TRIP", "starred_actors", "ALAN MOWBRAY" ], [ "TOPPER TAKES A TRIP", "starred_actors", "BILLIE BURKE" ], [ "TOPPER TAKES A TRIP", "starred_actors", "CONSTANCE BENNETT" ], [ "TOPPER TAKES A TRIP", "starred_actors", "ROLAND YOUNG" ], [ "WHAT PRICE HOLLYWOOD?", "has_tags", "BD-R" ], [ "WHAT PRICE HOLLYWOOD?", "starred_actors", "CONSTANCE BENNETT" ] ] }
metaqa	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 38707, ASYLUM 36212, DRAMA 12367, HASSINA BURGAN 5870, HORROR 10128, JACOB'S LADDER 37353, NOEL 3100, PSYCHOLOGICAL HORROR 6696, SESSION 9 1195, THE PATIENCE STONE 22214, WAR src, edge_attr, dst 38707, has_genre, 36212 10128, has_genre, 5870 10128, has_tags, 3100 10128, has_tags, 22214 37353, has_genre, 36212 37353, has_tags, 36212 6696, has_genre, 5870 6696, has_tags, 38707 6696, has_tags, 5870 6696, has_tags, 3100 1195, has_genre, 36212 1195, has_genre, 22214 1195, starred_actors, 12367 Question: In what context are HASSINA BURGAN, NOEL, and PSYCHOLOGICAL HORROR connected? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "HASSINA BURGAN", "NOEL", "PSYCHOLOGICAL HORROR" ], "valid_edges": [ [ "ASYLUM", "has_genre", "DRAMA" ], [ "JACOB'S LADDER", "has_genre", "HORROR" ], [ "JACOB'S LADDER", "has_tags", "PSYCHOLOGICAL HORROR" ], [ "JACOB'S LADDER", "has_tags", "WAR" ], [ "NOEL", "has_genre", "DRAMA" ], [ "NOEL", "has_tags", "DRAMA" ], [ "SESSION 9", "has_genre", "HORROR" ], [ "SESSION 9", "has_tags", "ASYLUM" ], [ "SESSION 9", "has_tags", "HORROR" ], [ "SESSION 9", "has_tags", "PSYCHOLOGICAL HORROR" ], [ "THE PATIENCE STONE", "has_genre", "DRAMA" ], [ "THE PATIENCE STONE", "has_genre", "WAR" ], [ "THE PATIENCE STONE", "starred_actors", "HASSINA BURGAN" ] ] }
metaqa	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 26762, 2008 39137, AS GOOD AS IT GETS 9340, BABY MAMA 10445, COLD PREY 2 24116, COLLEGE 2159, GHOST TOWN 31060, GIGANTIC 11565, GOOD 6608, GOOD DICK 28501, GOODBYE SOLO 18734, GREG KINNEAR 33476, PAUL LYNCH 24736, PROM NIGHT 19341, RACE 24467, SPEED RACER 13613, THE LAZARUS PROJECT 26588, THE SECRETS OF JONATHAN SPERRY 5465, WHAT DOESN'T KILL YOU src, edge_attr, dst 39137, has_imdb_rating, 11565 39137, has_tags, 18734 39137, starred_actors, 18734 9340, has_tags, 18734 9340, release_year, 26762 9340, starred_actors, 18734 10445, has_imdb_rating, 11565 10445, release_year, 26762 24116, has_imdb_rating, 11565 24116, release_year, 26762 2159, has_tags, 18734 2159, release_year, 26762 2159, starred_actors, 18734 31060, has_imdb_rating, 11565 31060, release_year, 26762 11565, has_imdb_rating, 11565 11565, release_year, 26762 6608, has_imdb_rating, 11565 6608, release_year, 26762 28501, has_imdb_rating, 11565 28501, release_year, 26762 24736, directed_by, 33476 24736, release_year, 26762 19341, has_imdb_rating, 11565 19341, release_year, 26762 24467, has_imdb_rating, 11565 24467, release_year, 26762 13613, has_imdb_rating, 11565 13613, release_year, 26762 26588, release_year, 26762 5465, has_imdb_rating, 11565 5465, release_year, 26762 Question: For what reason are AS GOOD AS IT GETS, PAUL LYNCH, and THE SECRETS OF JONATHAN SPERRY associated? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "AS GOOD AS IT GETS", "PAUL LYNCH", "THE SECRETS OF JONATHAN SPERRY" ], "valid_edges": [ [ "AS GOOD AS IT GETS", "has_imdb_rating", "GOOD" ], [ "AS GOOD AS IT GETS", "has_tags", "GREG KINNEAR" ], [ "AS GOOD AS IT GETS", "starred_actors", "GREG KINNEAR" ], [ "BABY MAMA", "has_tags", "GREG KINNEAR" ], [ "BABY MAMA", "release_year", "2008" ], [ "BABY MAMA", "starred_actors", "GREG KINNEAR" ], [ "COLD PREY 2", "has_imdb_rating", "GOOD" ], [ "COLD PREY 2", "release_year", "2008" ], [ "COLLEGE", "has_imdb_rating", "GOOD" ], [ "COLLEGE", "release_year", "2008" ], [ "GHOST TOWN", "has_tags", "GREG KINNEAR" ], [ "GHOST TOWN", "release_year", "2008" ], [ "GHOST TOWN", "starred_actors", "GREG KINNEAR" ], [ "GIGANTIC", "has_imdb_rating", "GOOD" ], [ "GIGANTIC", "release_year", "2008" ], [ "GOOD", "has_imdb_rating", "GOOD" ], [ "GOOD", "release_year", "2008" ], [ "GOOD DICK", "has_imdb_rating", "GOOD" ], [ "GOOD DICK", "release_year", "2008" ], [ "GOODBYE SOLO", "has_imdb_rating", "GOOD" ], [ "GOODBYE SOLO", "release_year", "2008" ], [ "PROM NIGHT", "directed_by", "PAUL LYNCH" ], [ "PROM NIGHT", "release_year", "2008" ], [ "RACE", "has_imdb_rating", "GOOD" ], [ "RACE", "release_year", "2008" ], [ "SPEED RACER", "has_imdb_rating", "GOOD" ], [ "SPEED RACER", "release_year", "2008" ], [ "THE LAZARUS PROJECT", "has_imdb_rating", "GOOD" ], [ "THE LAZARUS PROJECT", "release_year", "2008" ], [ "THE SECRETS OF JONATHAN SPERRY", "release_year", "2008" ], [ "WHAT DOESN'T KILL YOU", "has_imdb_rating", "GOOD" ], [ "WHAT DOESN'T KILL YOU", "release_year", "2008" ] ] }
metaqa	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 2133, 1998 25005, A MURDER OF CROWS 9719, AFTER LIFE 6395, BLUES HARP 36016, COUSIN BETTE 6943, FALLEN 21204, GEORGE CLOONEY 3553, GODZILLA 11565, GOOD 36874, JAPANESE 14797, O BROTHER, WHERE ART THOU? 31950, OCEAN WAVES 4235, OUT OF SIGHT 3297, PATCH ADAMS 27361, RIDING ALONE FOR THOUSANDS OF MILES 28, RING 32418, THE AMERICAN 38882, THE BIRD PEOPLE IN CHINA 4662, THE GOOD GERMAN 29181, THE MONUMENTS MEN 16029, THE TATTOOED WIDOW 30136, THE THIN RED LINE 9811, VEXILLE 38318, WHAT DREAMS MAY COME 19845, WITHOUT LIMITS 15808, YOU'VE GOT MAIL src, edge_attr, dst 25005, has_imdb_rating, 11565 25005, release_year, 2133 9719, in_language, 36874 9719, release_year, 2133 6395, in_language, 36874 6395, release_year, 2133 36016, has_imdb_rating, 11565 36016, release_year, 2133 6943, has_imdb_rating, 11565 6943, release_year, 2133 3553, in_language, 36874 3553, release_year, 2133 11565, has_imdb_rating, 11565 14797, has_imdb_rating, 11565 14797, has_tags, 21204 14797, starred_actors, 21204 31950, has_imdb_rating, 11565 31950, in_language, 36874 4235, has_tags, 21204 4235, release_year, 2133 4235, starred_actors, 21204 3297, has_imdb_rating, 11565 3297, release_year, 2133 27361, has_imdb_rating, 11565 27361, in_language, 36874 28, in_language, 36874 28, release_year, 2133 32418, has_tags, 21204 32418, starred_actors, 21204 38882, in_language, 36874 38882, release_year, 2133 4662, has_imdb_rating, 11565 4662, has_tags, 21204 4662, starred_actors, 21204 29181, directed_by, 21204 29181, has_imdb_rating, 11565 29181, has_tags, 21204 29181, starred_actors, 21204 29181, written_by, 21204 16029, has_imdb_rating, 11565 16029, release_year, 2133 30136, has_tags, 21204 30136, release_year, 2133 9811, in_language, 36874 38318, has_imdb_rating, 11565 38318, release_year, 2133 19845, has_imdb_rating, 11565 19845, release_year, 2133 15808, has_imdb_rating, 11565 15808, release_year, 2133 Question: For what reason are A MURDER OF CROWS, THE AMERICAN, and VEXILLE associated? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "A MURDER OF CROWS", "THE AMERICAN", "VEXILLE" ], "valid_edges": [ [ "A MURDER OF CROWS", "has_imdb_rating", "GOOD" ], [ "A MURDER OF CROWS", "release_year", "1998" ], [ "AFTER LIFE", "in_language", "JAPANESE" ], [ "AFTER LIFE", "release_year", "1998" ], [ "BLUES HARP", "in_language", "JAPANESE" ], [ "BLUES HARP", "release_year", "1998" ], [ "COUSIN BETTE", "has_imdb_rating", "GOOD" ], [ "COUSIN BETTE", "release_year", "1998" ], [ "FALLEN", "has_imdb_rating", "GOOD" ], [ "FALLEN", "release_year", "1998" ], [ "GODZILLA", "in_language", "JAPANESE" ], [ "GODZILLA", "release_year", "1998" ], [ "GOOD", "has_imdb_rating", "GOOD" ], [ "O BROTHER, WHERE ART THOU?", "has_imdb_rating", "GOOD" ], [ "O BROTHER, WHERE ART THOU?", "has_tags", "GEORGE CLOONEY" ], [ "O BROTHER, WHERE ART THOU?", "starred_actors", "GEORGE CLOONEY" ], [ "OCEAN WAVES", "has_imdb_rating", "GOOD" ], [ "OCEAN WAVES", "in_language", "JAPANESE" ], [ "OUT OF SIGHT", "has_tags", "GEORGE CLOONEY" ], [ "OUT OF SIGHT", "release_year", "1998" ], [ "OUT OF SIGHT", "starred_actors", "GEORGE CLOONEY" ], [ "PATCH ADAMS", "has_imdb_rating", "GOOD" ], [ "PATCH ADAMS", "release_year", "1998" ], [ "RIDING ALONE FOR THOUSANDS OF MILES", "has_imdb_rating", "GOOD" ], [ "RIDING ALONE FOR THOUSANDS OF MILES", "in_language", "JAPANESE" ], [ "RING", "in_language", "JAPANESE" ], [ "RING", "release_year", "1998" ], [ "THE AMERICAN", "has_tags", "GEORGE CLOONEY" ], [ "THE AMERICAN", "starred_actors", "GEORGE CLOONEY" ], [ "THE BIRD PEOPLE IN CHINA", "in_language", "JAPANESE" ], [ "THE BIRD PEOPLE IN CHINA", "release_year", "1998" ], [ "THE GOOD GERMAN", "has_imdb_rating", "GOOD" ], [ "THE GOOD GERMAN", "has_tags", "GEORGE CLOONEY" ], [ "THE GOOD GERMAN", "starred_actors", "GEORGE CLOONEY" ], [ "THE MONUMENTS MEN", "directed_by", "GEORGE CLOONEY" ], [ "THE MONUMENTS MEN", "has_imdb_rating", "GOOD" ], [ "THE MONUMENTS MEN", "has_tags", "GEORGE CLOONEY" ], [ "THE MONUMENTS MEN", "starred_actors", "GEORGE CLOONEY" ], [ "THE MONUMENTS MEN", "written_by", "GEORGE CLOONEY" ], [ "THE TATTOOED WIDOW", "has_imdb_rating", "GOOD" ], [ "THE TATTOOED WIDOW", "release_year", "1998" ], [ "THE THIN RED LINE", "has_tags", "GEORGE CLOONEY" ], [ "THE THIN RED LINE", "release_year", "1998" ], [ "VEXILLE", "in_language", "JAPANESE" ], [ "WHAT DREAMS MAY COME", "has_imdb_rating", "GOOD" ], [ "WHAT DREAMS MAY COME", "release_year", "1998" ], [ "WITHOUT LIMITS", "has_imdb_rating", "GOOD" ], [ "WITHOUT LIMITS", "release_year", "1998" ], [ "YOU'VE GOT MAIL", "has_imdb_rating", "GOOD" ], [ "YOU'VE GOT MAIL", "release_year", "1998" ] ] }
metaqa	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 15416, BOYFRIENDS AND GIRLFRIENDS 30463, COMEDY 20990, HOLY MATRIMONY 39920, OFFICE SPACE 5947, SOPHIE RENOIR src, edge_attr, dst 15416, has_genre, 30463 15416, starred_actors, 5947 20990, has_genre, 30463 39920, has_genre, 30463 39920, has_tags, 30463 Question: For what reason are HOLY MATRIMONY, OFFICE SPACE, and SOPHIE RENOIR associated? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "HOLY MATRIMONY", "OFFICE SPACE", "SOPHIE RENOIR" ], "valid_edges": [ [ "BOYFRIENDS AND GIRLFRIENDS", "has_genre", "COMEDY" ], [ "BOYFRIENDS AND GIRLFRIENDS", "starred_actors", "SOPHIE RENOIR" ], [ "HOLY MATRIMONY", "has_genre", "COMEDY" ], [ "OFFICE SPACE", "has_genre", "COMEDY" ], [ "OFFICE SPACE", "has_tags", "COMEDY" ] ] }
metaqa	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 36268, 1980 28210, ALAN ORMSBY 36853, ALTERED STATES 36593, BLACK CHRISTMAS 27791, BOB CLARK 37912, CAT PEOPLE 15226, CHILDREN SHOULDN'T PLAY WITH DEAD THINGS 25738, CHRISTMAS EVIL 13888, CITY OF THE LIVING DEAD 16813, CONTAMINATION 14128, D.J. COTRONA 9248, DEATH SHIP 22215, FRIDAY THE 13TH 1408, HE KNOWS YOU'RE ALONE 2600, HELL OF THE LIVING DEAD 5870, HORROR 24167, INFERNO 24437, MANIAC 30047, MOTEL HELL 19825, MOTHER'S DAY 8138, POPCORN 4604, PRIVATE BENJAMIN 24736, PROM NIGHT 5864, THE AWAKENING 34039, THE CHANGELING 27423, THE FOG 5592, THE HEARSE 19018, THE SHINING 14962, THE WATCHER IN THE WOODS 27274, VENOM 21887, WITHOUT WARNING src, edge_attr, dst 36853, has_genre, 5870 36853, release_year, 36268 36593, directed_by, 27791 36593, has_genre, 5870 36593, has_tags, 27791 36593, has_tags, 5870 37912, has_genre, 5870 37912, written_by, 28210 15226, directed_by, 27791 15226, has_genre, 5870 15226, starred_actors, 28210 15226, written_by, 28210 15226, written_by, 27791 25738, has_genre, 5870 25738, release_year, 36268 13888, has_genre, 5870 13888, has_tags, 5870 13888, release_year, 36268 16813, has_genre, 5870 16813, release_year, 36268 9248, has_genre, 5870 9248, release_year, 36268 22215, has_genre, 5870 22215, release_year, 36268 1408, has_genre, 5870 1408, release_year, 36268 2600, has_genre, 5870 2600, release_year, 36268 24167, has_genre, 5870 24167, release_year, 36268 24437, has_genre, 5870 24437, release_year, 36268 30047, has_genre, 5870 30047, release_year, 36268 19825, has_genre, 5870 19825, release_year, 36268 8138, directed_by, 28210 8138, has_genre, 5870 8138, written_by, 28210 4604, release_year, 36268 24736, has_genre, 5870 24736, release_year, 36268 5864, has_genre, 5870 5864, has_tags, 5870 5864, release_year, 36268 34039, has_genre, 5870 34039, release_year, 36268 27423, has_genre, 5870 27423, has_tags, 5870 27423, release_year, 36268 5592, has_genre, 5870 5592, release_year, 36268 19018, has_genre, 5870 19018, has_tags, 5870 19018, release_year, 36268 14962, has_genre, 5870 14962, release_year, 36268 27274, has_genre, 5870 27274, starred_actors, 14128 21887, has_genre, 5870 21887, release_year, 36268 Question: How are CHILDREN SHOULDN'T PLAY WITH DEAD THINGS, D.J. COTRONA, and PRIVATE BENJAMIN related? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "CHILDREN SHOULDN'T PLAY WITH DEAD THINGS", "D.J. COTRONA", "PRIVATE BENJAMIN" ], "valid_edges": [ [ "ALTERED STATES", "has_genre", "HORROR" ], [ "ALTERED STATES", "release_year", "1980" ], [ "BLACK CHRISTMAS", "directed_by", "BOB CLARK" ], [ "BLACK CHRISTMAS", "has_genre", "HORROR" ], [ "BLACK CHRISTMAS", "has_tags", "BOB CLARK" ], [ "BLACK CHRISTMAS", "has_tags", "HORROR" ], [ "CAT PEOPLE", "has_genre", "HORROR" ], [ "CAT PEOPLE", "written_by", "ALAN ORMSBY" ], [ "CHILDREN SHOULDN'T PLAY WITH DEAD THINGS", "directed_by", "BOB CLARK" ], [ "CHILDREN SHOULDN'T PLAY WITH DEAD THINGS", "has_genre", "HORROR" ], [ "CHILDREN SHOULDN'T PLAY WITH DEAD THINGS", "starred_actors", "ALAN ORMSBY" ], [ "CHILDREN SHOULDN'T PLAY WITH DEAD THINGS", "written_by", "ALAN ORMSBY" ], [ "CHILDREN SHOULDN'T PLAY WITH DEAD THINGS", "written_by", "BOB CLARK" ], [ "CHRISTMAS EVIL", "has_genre", "HORROR" ], [ "CHRISTMAS EVIL", "release_year", "1980" ], [ "CITY OF THE LIVING DEAD", "has_genre", "HORROR" ], [ "CITY OF THE LIVING DEAD", "has_tags", "HORROR" ], [ "CITY OF THE LIVING DEAD", "release_year", "1980" ], [ "CONTAMINATION", "has_genre", "HORROR" ], [ "CONTAMINATION", "release_year", "1980" ], [ "DEATH SHIP", "has_genre", "HORROR" ], [ "DEATH SHIP", "release_year", "1980" ], [ "FRIDAY THE 13TH", "has_genre", "HORROR" ], [ "FRIDAY THE 13TH", "release_year", "1980" ], [ "HE KNOWS YOU'RE ALONE", "has_genre", "HORROR" ], [ "HE KNOWS YOU'RE ALONE", "release_year", "1980" ], [ "HELL OF THE LIVING DEAD", "has_genre", "HORROR" ], [ "HELL OF THE LIVING DEAD", "release_year", "1980" ], [ "INFERNO", "has_genre", "HORROR" ], [ "INFERNO", "release_year", "1980" ], [ "MANIAC", "has_genre", "HORROR" ], [ "MANIAC", "release_year", "1980" ], [ "MOTEL HELL", "has_genre", "HORROR" ], [ "MOTEL HELL", "release_year", "1980" ], [ "MOTHER'S DAY", "has_genre", "HORROR" ], [ "MOTHER'S DAY", "release_year", "1980" ], [ "POPCORN", "directed_by", "ALAN ORMSBY" ], [ "POPCORN", "has_genre", "HORROR" ], [ "POPCORN", "written_by", "ALAN ORMSBY" ], [ "PRIVATE BENJAMIN", "release_year", "1980" ], [ "PROM NIGHT", "has_genre", "HORROR" ], [ "PROM NIGHT", "release_year", "1980" ], [ "THE AWAKENING", "has_genre", "HORROR" ], [ "THE AWAKENING", "has_tags", "HORROR" ], [ "THE AWAKENING", "release_year", "1980" ], [ "THE CHANGELING", "has_genre", "HORROR" ], [ "THE CHANGELING", "release_year", "1980" ], [ "THE FOG", "has_genre", "HORROR" ], [ "THE FOG", "has_tags", "HORROR" ], [ "THE FOG", "release_year", "1980" ], [ "THE HEARSE", "has_genre", "HORROR" ], [ "THE HEARSE", "release_year", "1980" ], [ "THE SHINING", "has_genre", "HORROR" ], [ "THE SHINING", "has_tags", "HORROR" ], [ "THE SHINING", "release_year", "1980" ], [ "THE WATCHER IN THE WOODS", "has_genre", "HORROR" ], [ "THE WATCHER IN THE WOODS", "release_year", "1980" ], [ "VENOM", "has_genre", "HORROR" ], [ "VENOM", "starred_actors", "D.J. COTRONA" ], [ "WITHOUT WARNING", "has_genre", "HORROR" ], [ "WITHOUT WARNING", "release_year", "1980" ] ] }
metaqa	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 6721, 1972 17315, 2007 37655, AL PACINO 2973, ALL THE COLORS OF THE DARK 9942, ANTHONY SHAFFER 15278, AVANTI! 13211, CALIBER 9 26346, DADDY'S LITTLE GIRLS 24214, DON'T TORTURE A DUCKLING 2848, FRENZY 31307, GODZILLA VS. GIGAN 33673, HEAT 11233, HIDEO YAMAMOTO 4215, ICHI THE KILLER 16200, ITALIAN 36874, JAPANESE 23374, LAST OF THE RED HOT LOVERS 31211, LUDWIG 1153, MICHAEL CAINE 15145, MYSTERY 37159, NEIL SIMON 37810, PULP 13081, R 28729, REMAKE 6119, SLEUTH 15568, THE CANTERBURY TALES 6524, THE GETAWAY 35551, THE GODFATHER 19595, THE HEARTBREAK KID 15202, THE LAST HOUSE ON THE LEFT 36168, THE MATTEI AFFAIR 8839, THE MECHANIC 34254, THEY ONLY KILL THEIR MASTERS 34730, TYLER PERRY 4117, UNDER THE FLAG OF THE RISING SUN 28211, WHAT HAVE YOU DONE TO SOLANGE? 6287, WHY DID I GET MARRIED? src, edge_attr, dst 2973, in_language, 16200 2973, release_year, 6721 15278, in_language, 16200 15278, release_year, 6721 13211, in_language, 16200 13211, release_year, 6721 26346, directed_by, 34730 26346, release_year, 17315 26346, written_by, 34730 24214, in_language, 16200 24214, release_year, 6721 2848, release_year, 6721 2848, written_by, 9942 31307, in_language, 36874 31307, release_year, 6721 33673, has_tags, 37655 33673, has_tags, 13081 33673, release_year, 6721 33673, starred_actors, 37655 4215, in_language, 36874 4215, written_by, 11233 23374, release_year, 6721 23374, written_by, 37159 31211, in_language, 16200 31211, release_year, 6721 37810, release_year, 6721 37810, starred_actors, 1153 6119, has_genre, 15145 6119, has_tags, 1153 6119, has_tags, 15145 6119, has_tags, 13081 6119, in_language, 16200 6119, release_year, 6721 6119, release_year, 17315 6119, starred_actors, 1153 6119, written_by, 9942 15568, in_language, 16200 15568, release_year, 6721 6524, has_tags, 28729 6524, release_year, 6721 35551, has_tags, 37655 35551, has_tags, 16200 35551, has_tags, 13081 35551, in_language, 16200 35551, release_year, 6721 35551, starred_actors, 37655 19595, has_tags, 37159 19595, has_tags, 13081 19595, has_tags, 28729 19595, release_year, 6721 19595, release_year, 17315 19595, written_by, 37159 15202, has_tags, 28729 15202, release_year, 6721 36168, in_language, 16200 36168, release_year, 6721 8839, has_tags, 28729 8839, release_year, 6721 34254, has_genre, 15145 34254, release_year, 6721 4117, in_language, 36874 4117, release_year, 6721 28211, has_genre, 15145 28211, in_language, 16200 28211, release_year, 6721 6287, directed_by, 34730 6287, has_tags, 34730 6287, release_year, 17315 6287, starred_actors, 34730 6287, written_by, 34730 Question: How are 1972, HIDEO YAMAMOTO, and WHY DID I GET MARRIED? related? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "1972", "HIDEO YAMAMOTO", "WHY DID I GET MARRIED?" ], "valid_edges": [ [ "ALL THE COLORS OF THE DARK", "in_language", "ITALIAN" ], [ "ALL THE COLORS OF THE DARK", "release_year", "1972" ], [ "AVANTI!", "in_language", "ITALIAN" ], [ "AVANTI!", "release_year", "1972" ], [ "CALIBER 9", "in_language", "ITALIAN" ], [ "CALIBER 9", "release_year", "1972" ], [ "DADDY'S LITTLE GIRLS", "directed_by", "TYLER PERRY" ], [ "DADDY'S LITTLE GIRLS", "release_year", "2007" ], [ "DADDY'S LITTLE GIRLS", "written_by", "TYLER PERRY" ], [ "DON'T TORTURE A DUCKLING", "in_language", "ITALIAN" ], [ "DON'T TORTURE A DUCKLING", "release_year", "1972" ], [ "FRENZY", "release_year", "1972" ], [ "FRENZY", "written_by", "ANTHONY SHAFFER" ], [ "GODZILLA VS. GIGAN", "in_language", "JAPANESE" ], [ "GODZILLA VS. GIGAN", "release_year", "1972" ], [ "HEAT", "has_tags", "AL PACINO" ], [ "HEAT", "has_tags", "R" ], [ "HEAT", "release_year", "1972" ], [ "HEAT", "starred_actors", "AL PACINO" ], [ "ICHI THE KILLER", "in_language", "JAPANESE" ], [ "ICHI THE KILLER", "written_by", "HIDEO YAMAMOTO" ], [ "LAST OF THE RED HOT LOVERS", "release_year", "1972" ], [ "LAST OF THE RED HOT LOVERS", "written_by", "NEIL SIMON" ], [ "LUDWIG", "in_language", "ITALIAN" ], [ "LUDWIG", "release_year", "1972" ], [ "PULP", "release_year", "1972" ], [ "PULP", "starred_actors", "MICHAEL CAINE" ], [ "SLEUTH", "has_genre", "MYSTERY" ], [ "SLEUTH", "has_tags", "MICHAEL CAINE" ], [ "SLEUTH", "has_tags", "MYSTERY" ], [ "SLEUTH", "has_tags", "R" ], [ "SLEUTH", "in_language", "ITALIAN" ], [ "SLEUTH", "release_year", "1972" ], [ "SLEUTH", "release_year", "2007" ], [ "SLEUTH", "starred_actors", "MICHAEL CAINE" ], [ "SLEUTH", "written_by", "ANTHONY SHAFFER" ], [ "THE CANTERBURY TALES", "in_language", "ITALIAN" ], [ "THE CANTERBURY TALES", "release_year", "1972" ], [ "THE GETAWAY", "has_tags", "REMAKE" ], [ "THE GETAWAY", "release_year", "1972" ], [ "THE GODFATHER", "has_tags", "AL PACINO" ], [ "THE GODFATHER", "has_tags", "ITALIAN" ], [ "THE GODFATHER", "has_tags", "R" ], [ "THE GODFATHER", "in_language", "ITALIAN" ], [ "THE GODFATHER", "release_year", "1972" ], [ "THE GODFATHER", "starred_actors", "AL PACINO" ], [ "THE HEARTBREAK KID", "has_tags", "NEIL SIMON" ], [ "THE HEARTBREAK KID", "has_tags", "R" ], [ "THE HEARTBREAK KID", "has_tags", "REMAKE" ], [ "THE HEARTBREAK KID", "release_year", "1972" ], [ "THE HEARTBREAK KID", "release_year", "2007" ], [ "THE HEARTBREAK KID", "written_by", "NEIL SIMON" ], [ "THE LAST HOUSE ON THE LEFT", "has_tags", "REMAKE" ], [ "THE LAST HOUSE ON THE LEFT", "release_year", "1972" ], [ "THE MATTEI AFFAIR", "in_language", "ITALIAN" ], [ "THE MATTEI AFFAIR", "release_year", "1972" ], [ "THE MECHANIC", "has_tags", "REMAKE" ], [ "THE MECHANIC", "release_year", "1972" ], [ "THEY ONLY KILL THEIR MASTERS", "has_genre", "MYSTERY" ], [ "THEY ONLY KILL THEIR MASTERS", "release_year", "1972" ], [ "UNDER THE FLAG OF THE RISING SUN", "in_language", "JAPANESE" ], [ "UNDER THE FLAG OF THE RISING SUN", "release_year", "1972" ], [ "WHAT HAVE YOU DONE TO SOLANGE?", "has_genre", "MYSTERY" ], [ "WHAT HAVE YOU DONE TO SOLANGE?", "in_language", "ITALIAN" ], [ "WHAT HAVE YOU DONE TO SOLANGE?", "release_year", "1972" ], [ "WHY DID I GET MARRIED?", "directed_by", "TYLER PERRY" ], [ "WHY DID I GET MARRIED?", "has_tags", "TYLER PERRY" ], [ "WHY DID I GET MARRIED?", "release_year", "2007" ], [ "WHY DID I GET MARRIED?", "starred_actors", "TYLER PERRY" ], [ "WHY DID I GET MARRIED?", "written_by", "TYLER PERRY" ] ] }
metaqa	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 29561, 1943 29424, 2011 37908, AFRICAN CATS 37994, ANGEL DOG 39613, BEAUTY DAY 21372, BEVERLY HILLS CHIHUAHUA 2 26510, BORN TO BE WILD 29342, BULLY 17035, DEBTOCRACY 12841, DOCUMENTARY 3032, DOLPHIN TALE 1519, DREAMS OF A LIFE 10509, FAMILY 39366, HAPPY 20013, HAPPY FEET TWO 17345, HERE WITHOUT ME 23442, HOODWINKED TOO! HOOD VS. EVIL 21922, JANE EYRE 24247, LEONOR WATLING 19802, LOVE 28468, MAGIC TRIP 7839, MISS REPRESENTATION 12706, MR. POPPER'S PENGUINS 35524, ONE LIFE 2108, PEARL JAM TWENTY 29086, PINA 38002, RED DOG 10984, REVENGE OF THE ELECTRIC CAR 12599, SURVIVING PROGRESS 9972, TALK TO HER 2588, THE AMBASSADOR 24264, THE BATTLE OF RUSSIA 11259, THE BLACK POWER MIXTAPE 1967-1975 20837, THE CAPTAINS 20969, THE FLAT 39978, THE HUMAN COMEDY 30700, THE INTERRUPTERS 38461, THE LAST LIONS 27444, THE LAST MOUNTAIN 39587, THE OTHER F WORD 29052, THESE AMAZING SHADOWS 36765, THIS IS NOT A FILM 16214, UNLAWFUL KILLING 8957, WE BOUGHT A ZOO 4896, WHORES' GLORY 9056, YOU'VE BEEN TRUMPED src, edge_attr, dst 37908, has_genre, 12841 37908, release_year, 29424 37994, has_genre, 10509 37994, release_year, 29424 39613, has_genre, 12841 39613, release_year, 29424 21372, has_genre, 10509 21372, release_year, 29424 26510, has_genre, 12841 26510, release_year, 29424 29342, has_genre, 12841 29342, release_year, 29424 17035, has_genre, 12841 17035, release_year, 29424 3032, has_genre, 10509 3032, has_tags, 10509 3032, release_year, 29424 1519, has_genre, 12841 1519, release_year, 29424 39366, has_genre, 12841 39366, has_genre, 10509 39366, has_tags, 12841 39366, release_year, 29424 20013, has_genre, 10509 20013, release_year, 29424 17345, has_genre, 10509 17345, release_year, 29424 23442, has_genre, 10509 23442, release_year, 29424 21922, release_year, 29561 21922, release_year, 29424 19802, release_year, 29424 28468, has_genre, 12841 28468, release_year, 29424 7839, has_genre, 12841 7839, release_year, 29424 12706, has_genre, 10509 12706, release_year, 29424 35524, has_genre, 12841 35524, release_year, 29424 2108, has_genre, 12841 2108, release_year, 29424 29086, has_genre, 12841 29086, has_tags, 12841 29086, release_year, 29424 38002, has_genre, 10509 38002, release_year, 29424 10984, has_genre, 12841 10984, release_year, 29424 12599, has_genre, 12841 12599, has_tags, 12841 12599, release_year, 29424 9972, has_tags, 24247 9972, has_tags, 19802 9972, starred_actors, 24247 2588, has_genre, 12841 2588, release_year, 29424 24264, has_genre, 12841 24264, release_year, 29561 11259, has_genre, 12841 11259, release_year, 29424 20837, has_genre, 12841 20837, release_year, 29424 20969, has_genre, 12841 20969, release_year, 29424 39978, has_genre, 10509 39978, release_year, 29561 30700, has_genre, 12841 30700, release_year, 29424 38461, has_genre, 12841 38461, release_year, 29424 27444, has_genre, 12841 27444, release_year, 29424 39587, has_genre, 12841 39587, release_year, 29424 29052, has_genre, 12841 29052, release_year, 29424 36765, has_genre, 12841 36765, release_year, 29424 16214, has_genre, 12841 16214, release_year, 29424 8957, has_genre, 10509 8957, has_tags, 10509 8957, release_year, 29424 4896, has_genre, 12841 4896, has_tags, 12841 4896, release_year, 29424 9056, has_genre, 12841 9056, release_year, 29424 Question: How are DREAMS OF A LIFE, LEONOR WATLING, and THE HUMAN COMEDY related? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "DREAMS OF A LIFE", "LEONOR WATLING", "THE HUMAN COMEDY" ], "valid_edges": [ [ "AFRICAN CATS", "has_genre", "DOCUMENTARY" ], [ "AFRICAN CATS", "release_year", "2011" ], [ "ANGEL DOG", "has_genre", "FAMILY" ], [ "ANGEL DOG", "release_year", "2011" ], [ "BEAUTY DAY", "has_genre", "DOCUMENTARY" ], [ "BEAUTY DAY", "release_year", "2011" ], [ "BEVERLY HILLS CHIHUAHUA 2", "has_genre", "FAMILY" ], [ "BEVERLY HILLS CHIHUAHUA 2", "release_year", "2011" ], [ "BORN TO BE WILD", "has_genre", "DOCUMENTARY" ], [ "BORN TO BE WILD", "release_year", "2011" ], [ "BULLY", "has_genre", "DOCUMENTARY" ], [ "BULLY", "release_year", "2011" ], [ "DEBTOCRACY", "has_genre", "DOCUMENTARY" ], [ "DEBTOCRACY", "release_year", "2011" ], [ "DOLPHIN TALE", "has_genre", "FAMILY" ], [ "DOLPHIN TALE", "has_tags", "FAMILY" ], [ "DOLPHIN TALE", "release_year", "2011" ], [ "DREAMS OF A LIFE", "has_genre", "DOCUMENTARY" ], [ "DREAMS OF A LIFE", "release_year", "2011" ], [ "HAPPY", "has_genre", "DOCUMENTARY" ], [ "HAPPY", "has_genre", "FAMILY" ], [ "HAPPY", "has_tags", "DOCUMENTARY" ], [ "HAPPY", "release_year", "2011" ], [ "HAPPY FEET TWO", "has_genre", "FAMILY" ], [ "HAPPY FEET TWO", "release_year", "2011" ], [ "HERE WITHOUT ME", "has_genre", "FAMILY" ], [ "HERE WITHOUT ME", "release_year", "2011" ], [ "HOODWINKED TOO! HOOD VS. EVIL", "has_genre", "FAMILY" ], [ "HOODWINKED TOO! HOOD VS. EVIL", "release_year", "2011" ], [ "JANE EYRE", "release_year", "1943" ], [ "JANE EYRE", "release_year", "2011" ], [ "LOVE", "release_year", "2011" ], [ "MAGIC TRIP", "has_genre", "DOCUMENTARY" ], [ "MAGIC TRIP", "release_year", "2011" ], [ "MISS REPRESENTATION", "has_genre", "DOCUMENTARY" ], [ "MISS REPRESENTATION", "release_year", "2011" ], [ "MR. POPPER'S PENGUINS", "has_genre", "FAMILY" ], [ "MR. POPPER'S PENGUINS", "release_year", "2011" ], [ "ONE LIFE", "has_genre", "DOCUMENTARY" ], [ "ONE LIFE", "release_year", "2011" ], [ "PEARL JAM TWENTY", "has_genre", "DOCUMENTARY" ], [ "PEARL JAM TWENTY", "release_year", "2011" ], [ "PINA", "has_genre", "DOCUMENTARY" ], [ "PINA", "has_tags", "DOCUMENTARY" ], [ "PINA", "release_year", "2011" ], [ "RED DOG", "has_genre", "FAMILY" ], [ "RED DOG", "release_year", "2011" ], [ "REVENGE OF THE ELECTRIC CAR", "has_genre", "DOCUMENTARY" ], [ "REVENGE OF THE ELECTRIC CAR", "release_year", "2011" ], [ "SURVIVING PROGRESS", "has_genre", "DOCUMENTARY" ], [ "SURVIVING PROGRESS", "has_tags", "DOCUMENTARY" ], [ "SURVIVING PROGRESS", "release_year", "2011" ], [ "TALK TO HER", "has_tags", "LEONOR WATLING" ], [ "TALK TO HER", "has_tags", "LOVE" ], [ "TALK TO HER", "starred_actors", "LEONOR WATLING" ], [ "THE AMBASSADOR", "has_genre", "DOCUMENTARY" ], [ "THE AMBASSADOR", "release_year", "2011" ], [ "THE BATTLE OF RUSSIA", "has_genre", "DOCUMENTARY" ], [ "THE BATTLE OF RUSSIA", "release_year", "1943" ], [ "THE BLACK POWER MIXTAPE 1967-1975", "has_genre", "DOCUMENTARY" ], [ "THE BLACK POWER MIXTAPE 1967-1975", "release_year", "2011" ], [ "THE CAPTAINS", "has_genre", "DOCUMENTARY" ], [ "THE CAPTAINS", "release_year", "2011" ], [ "THE FLAT", "has_genre", "DOCUMENTARY" ], [ "THE FLAT", "release_year", "2011" ], [ "THE HUMAN COMEDY", "has_genre", "FAMILY" ], [ "THE HUMAN COMEDY", "release_year", "1943" ], [ "THE INTERRUPTERS", "has_genre", "DOCUMENTARY" ], [ "THE INTERRUPTERS", "release_year", "2011" ], [ "THE LAST LIONS", "has_genre", "DOCUMENTARY" ], [ "THE LAST LIONS", "release_year", "2011" ], [ "THE LAST MOUNTAIN", "has_genre", "DOCUMENTARY" ], [ "THE LAST MOUNTAIN", "release_year", "2011" ], [ "THE OTHER F WORD", "has_genre", "DOCUMENTARY" ], [ "THE OTHER F WORD", "release_year", "2011" ], [ "THESE AMAZING SHADOWS", "has_genre", "DOCUMENTARY" ], [ "THESE AMAZING SHADOWS", "release_year", "2011" ], [ "THIS IS NOT A FILM", "has_genre", "DOCUMENTARY" ], [ "THIS IS NOT A FILM", "release_year", "2011" ], [ "UNLAWFUL KILLING", "has_genre", "DOCUMENTARY" ], [ "UNLAWFUL KILLING", "release_year", "2011" ], [ "WE BOUGHT A ZOO", "has_genre", "FAMILY" ], [ "WE BOUGHT A ZOO", "has_tags", "FAMILY" ], [ "WE BOUGHT A ZOO", "release_year", "2011" ], [ "WHORES' GLORY", "has_genre", "DOCUMENTARY" ], [ "WHORES' GLORY", "has_tags", "DOCUMENTARY" ], [ "WHORES' GLORY", "release_year", "2011" ], [ "YOU'VE BEEN TRUMPED", "has_genre", "DOCUMENTARY" ], [ "YOU'VE BEEN TRUMPED", "release_year", "2011" ] ] }
metaqa	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 35749, BRECKIN MEYER 1148, CONFESSIONS 8872, DANCER, TEXAS POP. 81 36212, DRAMA 4108, KANAE MINATO 12106, MATTHEW RHYS 27064, THE SCAPEGOAT src, edge_attr, dst 1148, has_genre, 36212 1148, written_by, 4108 8872, has_genre, 36212 8872, starred_actors, 35749 27064, has_genre, 36212 27064, starred_actors, 12106 Question: In what context are BRECKIN MEYER, KANAE MINATO, and MATTHEW RHYS connected? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "BRECKIN MEYER", "KANAE MINATO", "MATTHEW RHYS" ], "valid_edges": [ [ "CONFESSIONS", "has_genre", "DRAMA" ], [ "CONFESSIONS", "written_by", "KANAE MINATO" ], [ "DANCER, TEXAS POP. 81", "has_genre", "DRAMA" ], [ "DANCER, TEXAS POP. 81", "starred_actors", "BRECKIN MEYER" ], [ "THE SCAPEGOAT", "has_genre", "DRAMA" ], [ "THE SCAPEGOAT", "starred_actors", "MATTHEW RHYS" ] ] }
metaqa	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 13805, BRET ROBERTS 30463, COMEDY 5870, HORROR 13963, JOHNNY VEGAS 35018, KING COBRA 19020, NATIONAL LAMPOON PRESENTS DORM DAZE 34937, PATRICK CASEY 2327, SCOTT HILLENBRAND 39218, SEX LIVES OF THE POTATO MEN 8494, THE VIOLENT KIND 14057, TRANSYLMANIA src, edge_attr, dst 35018, directed_by, 2327 35018, has_genre, 5870 35018, starred_actors, 2327 35018, written_by, 2327 19020, directed_by, 2327 19020, has_genre, 30463 19020, written_by, 34937 39218, has_genre, 30463 39218, starred_actors, 13963 8494, has_genre, 5870 8494, starred_actors, 13805 14057, directed_by, 2327 14057, has_genre, 30463 14057, has_genre, 5870 14057, starred_actors, 34937 14057, written_by, 34937 Question: In what context are BRET ROBERTS, JOHNNY VEGAS, and SCOTT HILLENBRAND connected? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "BRET ROBERTS", "JOHNNY VEGAS", "SCOTT HILLENBRAND" ], "valid_edges": [ [ "KING COBRA", "directed_by", "SCOTT HILLENBRAND" ], [ "KING COBRA", "has_genre", "HORROR" ], [ "KING COBRA", "starred_actors", "SCOTT HILLENBRAND" ], [ "KING COBRA", "written_by", "SCOTT HILLENBRAND" ], [ "NATIONAL LAMPOON PRESENTS DORM DAZE", "directed_by", "SCOTT HILLENBRAND" ], [ "NATIONAL LAMPOON PRESENTS DORM DAZE", "has_genre", "COMEDY" ], [ "NATIONAL LAMPOON PRESENTS DORM DAZE", "written_by", "PATRICK CASEY" ], [ "SEX LIVES OF THE POTATO MEN", "has_genre", "COMEDY" ], [ "SEX LIVES OF THE POTATO MEN", "starred_actors", "JOHNNY VEGAS" ], [ "THE VIOLENT KIND", "has_genre", "HORROR" ], [ "THE VIOLENT KIND", "starred_actors", "BRET ROBERTS" ], [ "TRANSYLMANIA", "directed_by", "SCOTT HILLENBRAND" ], [ "TRANSYLMANIA", "has_genre", "COMEDY" ], [ "TRANSYLMANIA", "has_genre", "HORROR" ], [ "TRANSYLMANIA", "starred_actors", "PATRICK CASEY" ], [ "TRANSYLMANIA", "written_by", "PATRICK CASEY" ] ] }
metaqa	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 27261, 2009 20981, A WOMAN OF AFFAIRS 10340, ADRIFT 37608, AUSTRALIA 24556, DOWNSTAIRS 36212, DRAMA 29560, HE WHO GETS SLAPPED 5667, JOHN GILBERT 16469, LINH DAN PHAM 9235, MR. NOBODY 23155, WALKABOUT src, edge_attr, dst 20981, has_genre, 36212 20981, starred_actors, 5667 10340, has_genre, 36212 10340, release_year, 27261 10340, starred_actors, 16469 37608, has_genre, 36212 37608, has_tags, 37608 24556, has_genre, 36212 24556, starred_actors, 5667 24556, written_by, 5667 29560, has_genre, 36212 29560, starred_actors, 5667 9235, has_genre, 36212 9235, release_year, 27261 9235, starred_actors, 16469 23155, has_tags, 37608 Question: For what reason are JOHN GILBERT, LINH DAN PHAM, and WALKABOUT associated? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "JOHN GILBERT", "LINH DAN PHAM", "WALKABOUT" ], "valid_edges": [ [ "A WOMAN OF AFFAIRS", "has_genre", "DRAMA" ], [ "A WOMAN OF AFFAIRS", "starred_actors", "JOHN GILBERT" ], [ "ADRIFT", "has_genre", "DRAMA" ], [ "ADRIFT", "release_year", "2009" ], [ "ADRIFT", "starred_actors", "LINH DAN PHAM" ], [ "AUSTRALIA", "has_genre", "DRAMA" ], [ "AUSTRALIA", "has_tags", "AUSTRALIA" ], [ "DOWNSTAIRS", "has_genre", "DRAMA" ], [ "DOWNSTAIRS", "starred_actors", "JOHN GILBERT" ], [ "DOWNSTAIRS", "written_by", "JOHN GILBERT" ], [ "HE WHO GETS SLAPPED", "has_genre", "DRAMA" ], [ "HE WHO GETS SLAPPED", "starred_actors", "JOHN GILBERT" ], [ "MR. NOBODY", "has_genre", "DRAMA" ], [ "MR. NOBODY", "release_year", "2009" ], [ "MR. NOBODY", "starred_actors", "LINH DAN PHAM" ], [ "WALKABOUT", "has_tags", "AUSTRALIA" ] ] }
metaqa	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 13408, 2001 12569, ACTS OF WORSHIP 29180, CHU CHIN CHOW 30463, COMEDY 14627, GEORGE ROBEY 30384, JUMP TOMORROW 28958, MICHAEL HYATT 19692, TUNDE ADEBIMPE src, edge_attr, dst 12569, release_year, 13408 12569, starred_actors, 28958 29180, has_genre, 30463 29180, starred_actors, 14627 30384, has_genre, 30463 30384, release_year, 13408 30384, starred_actors, 19692 Question: In what context are GEORGE ROBEY, MICHAEL HYATT, and TUNDE ADEBIMPE connected? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "GEORGE ROBEY", "MICHAEL HYATT", "TUNDE ADEBIMPE" ], "valid_edges": [ [ "ACTS OF WORSHIP", "release_year", "2001" ], [ "ACTS OF WORSHIP", "starred_actors", "MICHAEL HYATT" ], [ "CHU CHIN CHOW", "has_genre", "COMEDY" ], [ "CHU CHIN CHOW", "starred_actors", "GEORGE ROBEY" ], [ "JUMP TOMORROW", "has_genre", "COMEDY" ], [ "JUMP TOMORROW", "release_year", "2001" ], [ "JUMP TOMORROW", "starred_actors", "TUNDE ADEBIMPE" ] ] }
metaqa	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 24438, 1993 27261, 2009 39750, ALIENS 4652, ANGELA SHELTON 23390, ARCADE 34587, BAD TASTE 23100, BODY BAGS 25126, BODY SNATCHERS 2747, CARNOSAUR 30463, COMEDY 29377, CRONOS 6692, DISTRICT 9 36212, DRAMA 5372, FORGOTTEN SILVER 28939, FRAN WALSH 17870, GHOST IN THE MACHINE 20214, HEAVENLY CREATURES 5870, HORROR 19098, KING KONG 32278, LEPRECHAUN 39670, MAN'S BEST FRIEND 9131, MEET THE FEEBLES 21188, MR. JONES 8519, MY BOYFRIEND'S BACK 25168, NEW ZEALAND 15793, NIGHT TERRORS 14075, PETER JACKSON 29013, PUPPET MASTER 4 23898, SUPERNATURAL 25979, THE DARK HALF 21684, THE FRIGHTENERS 26894, THE LOVELY BONES 13101, TUMBLEWEEDS src, edge_attr, dst 39750, has_tags, 5870 23390, has_genre, 5870 23390, release_year, 24438 34587, directed_by, 14075 34587, has_genre, 30463 34587, has_genre, 5870 34587, has_tags, 39750 34587, has_tags, 25168 34587, has_tags, 14075 34587, written_by, 14075 23100, has_genre, 5870 23100, release_year, 24438 25126, has_genre, 5870 25126, release_year, 24438 2747, has_genre, 5870 2747, release_year, 24438 29377, has_genre, 5870 29377, release_year, 24438 6692, has_tags, 14075 6692, release_year, 27261 5372, directed_by, 14075 5372, has_tags, 25168 5372, has_tags, 14075 5372, starred_actors, 14075 5372, written_by, 14075 17870, has_genre, 5870 17870, release_year, 24438 20214, directed_by, 14075 20214, has_genre, 36212 20214, has_tags, 25168 20214, has_tags, 14075 20214, written_by, 28939 20214, written_by, 14075 19098, directed_by, 14075 19098, has_tags, 19098 19098, has_tags, 14075 19098, written_by, 14075 32278, has_genre, 5870 32278, has_tags, 5870 32278, release_year, 24438 39670, has_genre, 5870 39670, release_year, 24438 9131, directed_by, 14075 9131, has_genre, 30463 9131, has_tags, 25168 9131, has_tags, 14075 9131, written_by, 28939 9131, written_by, 14075 21188, has_genre, 5870 21188, release_year, 24438 8519, has_genre, 5870 8519, release_year, 24438 15793, has_genre, 5870 15793, release_year, 24438 29013, has_genre, 5870 29013, release_year, 24438 25979, has_genre, 5870 25979, release_year, 24438 21684, directed_by, 14075 21684, has_genre, 30463 21684, has_genre, 5870 21684, has_tags, 14075 21684, has_tags, 23898 21684, written_by, 28939 21684, written_by, 14075 26894, directed_by, 14075 26894, has_genre, 36212 26894, has_tags, 14075 26894, has_tags, 23898 26894, release_year, 27261 26894, written_by, 14075 13101, has_genre, 30463 13101, has_genre, 36212 13101, written_by, 4652 Question: For what reason are ANGELA SHELTON, PETER JACKSON, and PUPPET MASTER 4 associated? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "ANGELA SHELTON", "PETER JACKSON", "PUPPET MASTER 4" ], "valid_edges": [ [ "ALIENS", "has_tags", "HORROR" ], [ "ARCADE", "has_genre", "HORROR" ], [ "ARCADE", "release_year", "1993" ], [ "BAD TASTE", "directed_by", "PETER JACKSON" ], [ "BAD TASTE", "has_genre", "COMEDY" ], [ "BAD TASTE", "has_genre", "HORROR" ], [ "BAD TASTE", "has_tags", "ALIENS" ], [ "BAD TASTE", "has_tags", "NEW ZEALAND" ], [ "BAD TASTE", "has_tags", "PETER JACKSON" ], [ "BAD TASTE", "written_by", "PETER JACKSON" ], [ "BODY BAGS", "has_genre", "HORROR" ], [ "BODY BAGS", "release_year", "1993" ], [ "BODY SNATCHERS", "has_genre", "HORROR" ], [ "BODY SNATCHERS", "release_year", "1993" ], [ "CARNOSAUR", "has_genre", "HORROR" ], [ "CARNOSAUR", "release_year", "1993" ], [ "CRONOS", "has_genre", "HORROR" ], [ "CRONOS", "release_year", "1993" ], [ "DISTRICT 9", "has_tags", "PETER JACKSON" ], [ "DISTRICT 9", "release_year", "2009" ], [ "FORGOTTEN SILVER", "directed_by", "PETER JACKSON" ], [ "FORGOTTEN SILVER", "has_tags", "NEW ZEALAND" ], [ "FORGOTTEN SILVER", "has_tags", "PETER JACKSON" ], [ "FORGOTTEN SILVER", "starred_actors", "PETER JACKSON" ], [ "FORGOTTEN SILVER", "written_by", "PETER JACKSON" ], [ "GHOST IN THE MACHINE", "has_genre", "HORROR" ], [ "GHOST IN THE MACHINE", "release_year", "1993" ], [ "HEAVENLY CREATURES", "directed_by", "PETER JACKSON" ], [ "HEAVENLY CREATURES", "has_genre", "DRAMA" ], [ "HEAVENLY CREATURES", "has_tags", "NEW ZEALAND" ], [ "HEAVENLY CREATURES", "has_tags", "PETER JACKSON" ], [ "HEAVENLY CREATURES", "written_by", "FRAN WALSH" ], [ "HEAVENLY CREATURES", "written_by", "PETER JACKSON" ], [ "KING KONG", "directed_by", "PETER JACKSON" ], [ "KING KONG", "has_tags", "KING KONG" ], [ "KING KONG", "has_tags", "PETER JACKSON" ], [ "KING KONG", "written_by", "PETER JACKSON" ], [ "LEPRECHAUN", "has_genre", "HORROR" ], [ "LEPRECHAUN", "has_tags", "HORROR" ], [ "LEPRECHAUN", "release_year", "1993" ], [ "MAN'S BEST FRIEND", "has_genre", "HORROR" ], [ "MAN'S BEST FRIEND", "release_year", "1993" ], [ "MEET THE FEEBLES", "directed_by", "PETER JACKSON" ], [ "MEET THE FEEBLES", "has_genre", "COMEDY" ], [ "MEET THE FEEBLES", "has_tags", "NEW ZEALAND" ], [ "MEET THE FEEBLES", "has_tags", "PETER JACKSON" ], [ "MEET THE FEEBLES", "written_by", "FRAN WALSH" ], [ "MEET THE FEEBLES", "written_by", "PETER JACKSON" ], [ "MR. JONES", "has_genre", "HORROR" ], [ "MR. JONES", "release_year", "1993" ], [ "MY BOYFRIEND'S BACK", "has_genre", "HORROR" ], [ "MY BOYFRIEND'S BACK", "release_year", "1993" ], [ "NIGHT TERRORS", "has_genre", "HORROR" ], [ "NIGHT TERRORS", "release_year", "1993" ], [ "PUPPET MASTER 4", "has_genre", "HORROR" ], [ "PUPPET MASTER 4", "release_year", "1993" ], [ "THE DARK HALF", "has_genre", "HORROR" ], [ "THE DARK HALF", "release_year", "1993" ], [ "THE FRIGHTENERS", "directed_by", "PETER JACKSON" ], [ "THE FRIGHTENERS", "has_genre", "COMEDY" ], [ "THE FRIGHTENERS", "has_genre", "HORROR" ], [ "THE FRIGHTENERS", "has_tags", "PETER JACKSON" ], [ "THE FRIGHTENERS", "has_tags", "SUPERNATURAL" ], [ "THE FRIGHTENERS", "written_by", "FRAN WALSH" ], [ "THE FRIGHTENERS", "written_by", "PETER JACKSON" ], [ "THE LOVELY BONES", "directed_by", "PETER JACKSON" ], [ "THE LOVELY BONES", "has_genre", "DRAMA" ], [ "THE LOVELY BONES", "has_tags", "PETER JACKSON" ], [ "THE LOVELY BONES", "has_tags", "SUPERNATURAL" ], [ "THE LOVELY BONES", "release_year", "2009" ], [ "THE LOVELY BONES", "written_by", "PETER JACKSON" ], [ "TUMBLEWEEDS", "has_genre", "COMEDY" ], [ "TUMBLEWEEDS", "has_genre", "DRAMA" ], [ "TUMBLEWEEDS", "written_by", "ANGELA SHELTON" ] ] }
metaqa	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 29145, 10 ITEMS OR LESS 35845, 2006 18243, A SCANNER DARKLY 23754, AFTER THE WEDDING 6938, ALPHA DOG 8229, APOCALYPTO 24301, ART SCHOOL CONFIDENTIAL 18820, ASK THE DUST 24366, BABEL 36593, BLACK CHRISTMAS 16664, BLOOD DIAMOND 10531, BOBBY 867, BREAKING AND ENTERING 12724, BROKEN SKY 17899, BUG 33360, CANDY 22435, CHILDREN OF MEN 21625, CLERKS II 37750, CRANK 15115, CURSE OF THE GOLDEN FLOWER 3567, DAYS OF GLORY 24699, ELEGY 8262, FAMILY LAW 13766, FAST FOOD NATION 13893, FIDO 18217, FIND ME GUILTY 10315, FLAGS OF OUR FATHERS 39988, FRIENDS WITH MONEY 7879, HALF NELSON 26170, HOLLYWOODLAND 17120, INFAMOUS 19637, INLAND EMPIRE 7264, INSIDE MAN 18934, LETTERS FROM IWO JIMA 11277, LITTLE CHILDREN 24376, LITTLE MISS SUNSHINE 39673, LOS OLVIDADOS 33950, LUCKY NUMBER SLEVIN 38677, MIAMI VICE 3519, MY NAME IS JUANI 39852, PAN'S LABYRINTH 3451, PAPRIKA 24369, QUINCEAÑERA 13081, R 18480, RENAISSANCE 5766, RUNNING WITH SCISSORS 17383, SHERRYBABY 26930, SLITHER 12333, SMOKIN' ACES 7556, SPANISH 37498, TENACIOUS D IN THE PICK OF DESTINY 24057, THE BACKWOODS 11948, THE BLACK DAHLIA 31353, THE CONTRACT 1059, THE DA VINCI CODE 18997, THE DEPARTED 1723, THE FALL 4662, THE GOOD GERMAN 15862, THE GOOD SHEPHERD 32459, THE HAMMER 31309, THE HOAX 2467, THE LAST KING OF SCOTLAND 14315, THE LIVES OF OTHERS 22880, THE MACHINIST 17393, THE NIGHT LISTENER 1846, THE ONE PERCENT 956, THE ORPHANAGE 11383, THE SCIENCE OF SLEEP 37148, THE SECRET IN THEIR EYES 8334, TRANSSIBERIAN 25806, UNITED 93 23568, VANILLA SKY 36753, VENUS 35728, VOLVER src, edge_attr, dst 29145, has_tags, 13081 29145, release_year, 35845 18243, has_tags, 13081 18243, release_year, 35845 23754, has_tags, 13081 23754, release_year, 35845 6938, has_tags, 13081 6938, release_year, 35845 8229, has_tags, 13081 8229, release_year, 35845 24301, has_tags, 13081 24301, release_year, 35845 18820, has_tags, 13081 18820, release_year, 35845 24366, has_tags, 13081 24366, release_year, 35845 36593, has_tags, 13081 36593, release_year, 35845 16664, has_tags, 13081 16664, release_year, 35845 10531, has_tags, 13081 10531, release_year, 35845 867, has_tags, 13081 867, release_year, 35845 12724, in_language, 7556 12724, release_year, 35845 17899, has_tags, 13081 17899, release_year, 35845 33360, has_tags, 13081 33360, release_year, 35845 22435, has_tags, 13081 22435, release_year, 35845 21625, has_tags, 13081 21625, release_year, 35845 37750, has_tags, 13081 37750, release_year, 35845 15115, has_tags, 13081 15115, release_year, 35845 3567, has_tags, 13081 3567, release_year, 35845 24699, has_tags, 13081 24699, in_language, 7556 8262, in_language, 7556 8262, release_year, 35845 13766, has_tags, 13081 13766, release_year, 35845 13893, has_tags, 13081 13893, release_year, 35845 18217, has_tags, 13081 18217, release_year, 35845 10315, has_tags, 13081 10315, release_year, 35845 39988, has_tags, 13081 39988, release_year, 35845 7879, has_tags, 13081 7879, release_year, 35845 26170, has_tags, 13081 26170, release_year, 35845 17120, has_tags, 13081 17120, release_year, 35845 19637, has_tags, 13081 19637, release_year, 35845 7264, has_tags, 13081 7264, release_year, 35845 18934, has_tags, 13081 18934, release_year, 35845 11277, has_tags, 13081 11277, release_year, 35845 24376, has_tags, 13081 24376, release_year, 35845 39673, in_language, 7556 33950, has_tags, 13081 33950, release_year, 35845 38677, has_tags, 13081 38677, release_year, 35845 3519, in_language, 7556 3519, release_year, 35845 39852, has_tags, 13081 39852, has_tags, 7556 39852, in_language, 7556 39852, release_year, 35845 3451, has_tags, 13081 3451, release_year, 35845 24369, in_language, 7556 24369, release_year, 35845 18480, has_tags, 13081 18480, release_year, 35845 5766, has_tags, 13081 5766, release_year, 35845 17383, has_tags, 13081 17383, release_year, 35845 26930, has_tags, 13081 26930, release_year, 35845 12333, has_tags, 13081 12333, release_year, 35845 37498, has_tags, 13081 37498, release_year, 35845 24057, in_language, 7556 24057, release_year, 35845 11948, has_tags, 13081 11948, release_year, 35845 31353, has_tags, 13081 31353, release_year, 35845 1059, has_tags, 13081 1059, release_year, 35845 18997, has_tags, 13081 18997, release_year, 35845 1723, has_tags, 13081 1723, release_year, 35845 4662, has_tags, 13081 4662, release_year, 35845 15862, has_tags, 13081 15862, release_year, 35845 32459, has_tags, 13081 31309, has_tags, 13081 31309, release_year, 35845 2467, has_tags, 13081 2467, release_year, 35845 14315, has_tags, 13081 14315, release_year, 35845 22880, has_tags, 13081 22880, in_language, 7556 17393, has_tags, 13081 17393, release_year, 35845 1846, release_year, 35845 956, has_tags, 13081 956, has_tags, 7556 956, in_language, 7556 11383, has_tags, 13081 11383, release_year, 35845 37148, has_tags, 13081 37148, has_tags, 7556 37148, in_language, 7556 8334, has_tags, 13081 8334, in_language, 7556 25806, has_tags, 13081 25806, release_year, 35845 23568, has_tags, 13081 23568, in_language, 7556 36753, has_tags, 13081 36753, release_year, 35845 35728, has_tags, 13081 35728, has_tags, 7556 35728, in_language, 7556 35728, release_year, 35845 Question: How are LOS OLVIDADOS, THE HAMMER, and THE ONE PERCENT related? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "LOS OLVIDADOS", "THE HAMMER", "THE ONE PERCENT" ], "valid_edges": [ [ "10 ITEMS OR LESS", "has_tags", "R" ], [ "10 ITEMS OR LESS", "release_year", "2006" ], [ "A SCANNER DARKLY", "has_tags", "R" ], [ "A SCANNER DARKLY", "release_year", "2006" ], [ "AFTER THE WEDDING", "has_tags", "R" ], [ "AFTER THE WEDDING", "release_year", "2006" ], [ "ALPHA DOG", "has_tags", "R" ], [ "ALPHA DOG", "release_year", "2006" ], [ "APOCALYPTO", "has_tags", "R" ], [ "APOCALYPTO", "release_year", "2006" ], [ "ART SCHOOL CONFIDENTIAL", "has_tags", "R" ], [ "ART SCHOOL CONFIDENTIAL", "release_year", "2006" ], [ "ASK THE DUST", "has_tags", "R" ], [ "ASK THE DUST", "release_year", "2006" ], [ "BABEL", "has_tags", "R" ], [ "BABEL", "release_year", "2006" ], [ "BLACK CHRISTMAS", "has_tags", "R" ], [ "BLACK CHRISTMAS", "release_year", "2006" ], [ "BLOOD DIAMOND", "has_tags", "R" ], [ "BLOOD DIAMOND", "release_year", "2006" ], [ "BOBBY", "has_tags", "R" ], [ "BOBBY", "release_year", "2006" ], [ "BREAKING AND ENTERING", "has_tags", "R" ], [ "BREAKING AND ENTERING", "release_year", "2006" ], [ "BROKEN SKY", "in_language", "SPANISH" ], [ "BROKEN SKY", "release_year", "2006" ], [ "BUG", "has_tags", "R" ], [ "BUG", "release_year", "2006" ], [ "CANDY", "has_tags", "R" ], [ "CANDY", "release_year", "2006" ], [ "CHILDREN OF MEN", "has_tags", "R" ], [ "CHILDREN OF MEN", "release_year", "2006" ], [ "CLERKS II", "has_tags", "R" ], [ "CLERKS II", "release_year", "2006" ], [ "CRANK", "has_tags", "R" ], [ "CRANK", "release_year", "2006" ], [ "CURSE OF THE GOLDEN FLOWER", "has_tags", "R" ], [ "CURSE OF THE GOLDEN FLOWER", "release_year", "2006" ], [ "DAYS OF GLORY", "has_tags", "R" ], [ "DAYS OF GLORY", "release_year", "2006" ], [ "ELEGY", "has_tags", "R" ], [ "ELEGY", "in_language", "SPANISH" ], [ "FAMILY LAW", "in_language", "SPANISH" ], [ "FAMILY LAW", "release_year", "2006" ], [ "FAST FOOD NATION", "has_tags", "R" ], [ "FAST FOOD NATION", "release_year", "2006" ], [ "FIDO", "has_tags", "R" ], [ "FIDO", "release_year", "2006" ], [ "FIND ME GUILTY", "has_tags", "R" ], [ "FIND ME GUILTY", "release_year", "2006" ], [ "FLAGS OF OUR FATHERS", "has_tags", "R" ], [ "FLAGS OF OUR FATHERS", "release_year", "2006" ], [ "FRIENDS WITH MONEY", "has_tags", "R" ], [ "FRIENDS WITH MONEY", "release_year", "2006" ], [ "HALF NELSON", "has_tags", "R" ], [ "HALF NELSON", "release_year", "2006" ], [ "HOLLYWOODLAND", "has_tags", "R" ], [ "HOLLYWOODLAND", "release_year", "2006" ], [ "INFAMOUS", "has_tags", "R" ], [ "INFAMOUS", "release_year", "2006" ], [ "INLAND EMPIRE", "has_tags", "R" ], [ "INLAND EMPIRE", "release_year", "2006" ], [ "INSIDE MAN", "has_tags", "R" ], [ "INSIDE MAN", "release_year", "2006" ], [ "LETTERS FROM IWO JIMA", "has_tags", "R" ], [ "LETTERS FROM IWO JIMA", "release_year", "2006" ], [ "LITTLE CHILDREN", "has_tags", "R" ], [ "LITTLE CHILDREN", "release_year", "2006" ], [ "LITTLE MISS SUNSHINE", "has_tags", "R" ], [ "LITTLE MISS SUNSHINE", "release_year", "2006" ], [ "LOS OLVIDADOS", "in_language", "SPANISH" ], [ "LUCKY NUMBER SLEVIN", "has_tags", "R" ], [ "LUCKY NUMBER SLEVIN", "release_year", "2006" ], [ "MIAMI VICE", "has_tags", "R" ], [ "MIAMI VICE", "release_year", "2006" ], [ "MY NAME IS JUANI", "in_language", "SPANISH" ], [ "MY NAME IS JUANI", "release_year", "2006" ], [ "PAN'S LABYRINTH", "has_tags", "R" ], [ "PAN'S LABYRINTH", "has_tags", "SPANISH" ], [ "PAN'S LABYRINTH", "in_language", "SPANISH" ], [ "PAN'S LABYRINTH", "release_year", "2006" ], [ "PAPRIKA", "has_tags", "R" ], [ "PAPRIKA", "release_year", "2006" ], [ "QUINCEAÑERA", "in_language", "SPANISH" ], [ "QUINCEAÑERA", "release_year", "2006" ], [ "RENAISSANCE", "has_tags", "R" ], [ "RENAISSANCE", "release_year", "2006" ], [ "RUNNING WITH SCISSORS", "has_tags", "R" ], [ "RUNNING WITH SCISSORS", "release_year", "2006" ], [ "SHERRYBABY", "has_tags", "R" ], [ "SHERRYBABY", "release_year", "2006" ], [ "SLITHER", "has_tags", "R" ], [ "SLITHER", "release_year", "2006" ], [ "SMOKIN' ACES", "has_tags", "R" ], [ "SMOKIN' ACES", "release_year", "2006" ], [ "TENACIOUS D IN THE PICK OF DESTINY", "has_tags", "R" ], [ "TENACIOUS D IN THE PICK OF DESTINY", "release_year", "2006" ], [ "THE BACKWOODS", "in_language", "SPANISH" ], [ "THE BACKWOODS", "release_year", "2006" ], [ "THE BLACK DAHLIA", "has_tags", "R" ], [ "THE BLACK DAHLIA", "release_year", "2006" ], [ "THE CONTRACT", "has_tags", "R" ], [ "THE CONTRACT", "release_year", "2006" ], [ "THE DA VINCI CODE", "has_tags", "R" ], [ "THE DA VINCI CODE", "release_year", "2006" ], [ "THE DEPARTED", "has_tags", "R" ], [ "THE DEPARTED", "release_year", "2006" ], [ "THE FALL", "has_tags", "R" ], [ "THE FALL", "release_year", "2006" ], [ "THE GOOD GERMAN", "has_tags", "R" ], [ "THE GOOD GERMAN", "release_year", "2006" ], [ "THE GOOD SHEPHERD", "has_tags", "R" ], [ "THE GOOD SHEPHERD", "release_year", "2006" ], [ "THE HAMMER", "has_tags", "R" ], [ "THE HOAX", "has_tags", "R" ], [ "THE HOAX", "release_year", "2006" ], [ "THE LAST KING OF SCOTLAND", "has_tags", "R" ], [ "THE LAST KING OF SCOTLAND", "release_year", "2006" ], [ "THE LIVES OF OTHERS", "has_tags", "R" ], [ "THE LIVES OF OTHERS", "release_year", "2006" ], [ "THE MACHINIST", "has_tags", "R" ], [ "THE MACHINIST", "in_language", "SPANISH" ], [ "THE NIGHT LISTENER", "has_tags", "R" ], [ "THE NIGHT LISTENER", "release_year", "2006" ], [ "THE ONE PERCENT", "release_year", "2006" ], [ "THE ORPHANAGE", "has_tags", "R" ], [ "THE ORPHANAGE", "has_tags", "SPANISH" ], [ "THE ORPHANAGE", "in_language", "SPANISH" ], [ "THE SCIENCE OF SLEEP", "has_tags", "R" ], [ "THE SCIENCE OF SLEEP", "release_year", "2006" ], [ "THE SECRET IN THEIR EYES", "has_tags", "R" ], [ "THE SECRET IN THEIR EYES", "has_tags", "SPANISH" ], [ "THE SECRET IN THEIR EYES", "in_language", "SPANISH" ], [ "TRANSSIBERIAN", "has_tags", "R" ], [ "TRANSSIBERIAN", "in_language", "SPANISH" ], [ "UNITED 93", "has_tags", "R" ], [ "UNITED 93", "release_year", "2006" ], [ "VANILLA SKY", "has_tags", "R" ], [ "VANILLA SKY", "in_language", "SPANISH" ], [ "VENUS", "has_tags", "R" ], [ "VENUS", "release_year", "2006" ], [ "VOLVER", "has_tags", "R" ], [ "VOLVER", "has_tags", "SPANISH" ], [ "VOLVER", "in_language", "SPANISH" ], [ "VOLVER", "release_year", "2006" ] ] }
metaqa	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 37224, 1990 19905, A TALE OF SPRINGTIME 28725, ANNE TEYSSÈDRE 1856, EUROPA EUROPA 22011, NIGHTBREED 10981, SERIAL KILLER src, edge_attr, dst 19905, release_year, 37224 19905, starred_actors, 28725 1856, release_year, 37224 22011, has_tags, 10981 22011, release_year, 37224 Question: For what reason are ANNE TEYSSÈDRE, EUROPA EUROPA, and SERIAL KILLER associated? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "ANNE TEYSSÈDRE", "EUROPA EUROPA", "SERIAL KILLER" ], "valid_edges": [ [ "A TALE OF SPRINGTIME", "release_year", "1990" ], [ "A TALE OF SPRINGTIME", "starred_actors", "ANNE TEYSSÈDRE" ], [ "EUROPA EUROPA", "release_year", "1990" ], [ "NIGHTBREED", "has_tags", "SERIAL KILLER" ], [ "NIGHTBREED", "release_year", "1990" ] ] }
metaqa	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 658, 2012 33645, BILL OBERST JR. 31778, BLACK SHEEP 29691, CHRIS FARLEY 5870, HORROR 9520, JODY LAMBERT 31312, PEOPLE LIKE US 24992, SCARY OR DIE src, edge_attr, dst 31778, has_genre, 5870 31778, has_tags, 29691 31778, starred_actors, 29691 31312, release_year, 658 31312, written_by, 9520 24992, has_genre, 5870 24992, release_year, 658 24992, starred_actors, 33645 Question: For what reason are BILL OBERST JR., CHRIS FARLEY, and JODY LAMBERT associated? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "BILL OBERST JR.", "CHRIS FARLEY", "JODY LAMBERT" ], "valid_edges": [ [ "BLACK SHEEP", "has_genre", "HORROR" ], [ "BLACK SHEEP", "has_tags", "CHRIS FARLEY" ], [ "BLACK SHEEP", "starred_actors", "CHRIS FARLEY" ], [ "PEOPLE LIKE US", "release_year", "2012" ], [ "PEOPLE LIKE US", "written_by", "JODY LAMBERT" ], [ "SCARY OR DIE", "has_genre", "HORROR" ], [ "SCARY OR DIE", "release_year", "2012" ], [ "SCARY OR DIE", "starred_actors", "BILL OBERST JR." ] ] }
metaqa	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 39641, ALONG CAME JONES 24276, CASANOVA BROWN 30463, COMEDY 29757, GARY COOPER 12557, HOW TO MARRY A MILLIONAIRE 34414, KARYN BOSNAK 35230, MICHAEL DUDIKOFF 11190, NUNNALLY JOHNSON 32766, RADIOACTIVE DREAMS 11290, TAKE HER, SHE'S MINE 29742, WHAT'S YOUR NUMBER? src, edge_attr, dst 39641, has_genre, 30463 39641, starred_actors, 29757 39641, written_by, 11190 24276, has_genre, 30463 24276, starred_actors, 29757 24276, written_by, 11190 12557, has_genre, 30463 12557, written_by, 11190 32766, has_genre, 30463 32766, starred_actors, 35230 11290, has_genre, 30463 11290, written_by, 11190 29742, has_genre, 30463 29742, written_by, 34414 Question: In what context are KARYN BOSNAK, MICHAEL DUDIKOFF, and NUNNALLY JOHNSON connected? Your output must be ONLY the PATH block.	graph_path	{ "style": "rule" }	{ "entities": [ "KARYN BOSNAK", "MICHAEL DUDIKOFF", "NUNNALLY JOHNSON" ], "valid_edges": [ [ "ALONG CAME JONES", "has_genre", "COMEDY" ], [ "ALONG CAME JONES", "starred_actors", "GARY COOPER" ], [ "ALONG CAME JONES", "written_by", "NUNNALLY JOHNSON" ], [ "CASANOVA BROWN", "has_genre", "COMEDY" ], [ "CASANOVA BROWN", "starred_actors", "GARY COOPER" ], [ "CASANOVA BROWN", "written_by", "NUNNALLY JOHNSON" ], [ "HOW TO MARRY A MILLIONAIRE", "has_genre", "COMEDY" ], [ "HOW TO MARRY A MILLIONAIRE", "written_by", "NUNNALLY JOHNSON" ], [ "RADIOACTIVE DREAMS", "has_genre", "COMEDY" ], [ "RADIOACTIVE DREAMS", "starred_actors", "MICHAEL DUDIKOFF" ], [ "TAKE HER, SHE'S MINE", "has_genre", "COMEDY" ], [ "TAKE HER, SHE'S MINE", "written_by", "NUNNALLY JOHNSON" ], [ "WHAT'S YOUR NUMBER?", "has_genre", "COMEDY" ], [ "WHAT'S YOUR NUMBER?", "written_by", "KARYN BOSNAK" ] ] }

metaqa

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 36212, DRAMA 16138, JACOB GENTRY 6180, LOVE STORY 19613, MICHAEL HALL D'ADDARIO 19916, MONSIEUR LAZHAR 31312, PEOPLE LIKE US 28095, THE SIGNAL src, edge_attr, dst 6180, has_genre, 36212 19916, has_genre, 36212 31312, has_genre, 36212 31312, has_tags, 36212 31312, starred_actors, 19613 28095, directed_by, 16138 28095, has_tags, 6180 28095, written_by, 16138 Question: For what reason are JACOB GENTRY, MICHAEL HALL D'ADDARIO, and MONSIEUR LAZHAR associated? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "JACOB GENTRY", "MICHAEL HALL D'ADDARIO", "MONSIEUR LAZHAR" ], "valid_edges": [ [ "LOVE STORY", "has_genre", "DRAMA" ], [ "MONSIEUR LAZHAR", "has_genre", "DRAMA" ], [ "PEOPLE LIKE US", "has_genre", "DRAMA" ], [ "PEOPLE LIKE US", "has_tags", "DRAMA" ], [ "PEOPLE LIKE US", "starred_actors", "MICHAEL HALL D'ADDARIO" ], [ "THE SIGNAL", "directed_by", "JACOB GENTRY" ], [ "THE SIGNAL", "has_tags", "LOVE STORY" ], [ "THE SIGNAL", "written_by", "JACOB GENTRY" ] ] }

metaqa

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 8486, 1999 17254, AMERICAN BEAUTY 30463, COMEDY 7373, DALE VAN EVERY 36212, DRAMA 9624, IT'S A BOY GIRL THING 1555, LITTLE BLACK BOOK 5252, MID-LIFE CRISIS 37544, NICK HURRAN 3627, THE TALK OF THE TOWN 5147, VIRTUAL SEXUALITY src, edge_attr, dst 17254, has_genre, 36212 17254, has_tags, 36212 17254, has_tags, 5252 17254, release_year, 8486 9624, directed_by, 37544 9624, has_genre, 30463 1555, directed_by, 37544 1555, has_genre, 30463 3627, has_genre, 30463 3627, has_genre, 36212 3627, written_by, 7373 5147, directed_by, 37544 5147, release_year, 8486 Question: How are DALE VAN EVERY, MID-LIFE CRISIS, and NICK HURRAN related? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "DALE VAN EVERY", "MID-LIFE CRISIS", "NICK HURRAN" ], "valid_edges": [ [ "AMERICAN BEAUTY", "has_genre", "DRAMA" ], [ "AMERICAN BEAUTY", "has_tags", "DRAMA" ], [ "AMERICAN BEAUTY", "has_tags", "MID-LIFE CRISIS" ], [ "AMERICAN BEAUTY", "release_year", "1999" ], [ "IT'S A BOY GIRL THING", "directed_by", "NICK HURRAN" ], [ "IT'S A BOY GIRL THING", "has_genre", "COMEDY" ], [ "LITTLE BLACK BOOK", "directed_by", "NICK HURRAN" ], [ "LITTLE BLACK BOOK", "has_genre", "COMEDY" ], [ "THE TALK OF THE TOWN", "has_genre", "COMEDY" ], [ "THE TALK OF THE TOWN", "has_genre", "DRAMA" ], [ "THE TALK OF THE TOWN", "written_by", "DALE VAN EVERY" ], [ "VIRTUAL SEXUALITY", "directed_by", "NICK HURRAN" ], [ "VIRTUAL SEXUALITY", "release_year", "1999" ] ] }

metaqa

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, 2000 20719, A TIME FOR DRUNKEN HORSES 23160, BELLY 32815, BLACKBOARDS 36212, DRAMA 35079, HYPE WILLIAMS 15321, JUN FALKENSTEIN 13725, KURDISH 37753, THE TIGGER MOVIE 23247, TRIAGE 29947, TURTLES CAN FLY 22214, WAR src, edge_attr, dst 20719, has_genre, 22214 20719, in_language, 13725 20719, release_year, 6776 23160, directed_by, 35079 23160, has_genre, 36212 23160, written_by, 35079 32815, has_genre, 22214 32815, in_language, 13725 32815, release_year, 6776 37753, directed_by, 15321 37753, release_year, 6776 37753, written_by, 15321 23247, has_genre, 36212 23247, has_genre, 22214 23247, in_language, 13725 29947, has_genre, 36212 29947, has_genre, 22214 29947, in_language, 13725 Question: For what reason are HYPE WILLIAMS, JUN FALKENSTEIN, and KURDISH associated? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "HYPE WILLIAMS", "JUN FALKENSTEIN", "KURDISH" ], "valid_edges": [ [ "A TIME FOR DRUNKEN HORSES", "has_genre", "WAR" ], [ "A TIME FOR DRUNKEN HORSES", "in_language", "KURDISH" ], [ "A TIME FOR DRUNKEN HORSES", "release_year", "2000" ], [ "BELLY", "directed_by", "HYPE WILLIAMS" ], [ "BELLY", "has_genre", "DRAMA" ], [ "BELLY", "written_by", "HYPE WILLIAMS" ], [ "BLACKBOARDS", "has_genre", "WAR" ], [ "BLACKBOARDS", "in_language", "KURDISH" ], [ "BLACKBOARDS", "release_year", "2000" ], [ "THE TIGGER MOVIE", "directed_by", "JUN FALKENSTEIN" ], [ "THE TIGGER MOVIE", "release_year", "2000" ], [ "THE TIGGER MOVIE", "written_by", "JUN FALKENSTEIN" ], [ "TRIAGE", "has_genre", "DRAMA" ], [ "TRIAGE", "has_genre", "WAR" ], [ "TRIAGE", "in_language", "KURDISH" ], [ "TURTLES CAN FLY", "has_genre", "DRAMA" ], [ "TURTLES CAN FLY", "has_genre", "WAR" ], [ "TURTLES CAN FLY", "in_language", "KURDISH" ] ] }

metaqa

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 4981, 1965 11832, A CHARLIE BROWN CHRISTMAS 6718, A FAREWELL TO ARMS 12649, A LITTLE ROMANCE 8221, A MAN ESCAPED 24319, A PASSAGE TO INDIA 4763, ADVENTURE 16054, ADVENTURES IN BABYSITTING 10341, ADVENTURES OF DON JUAN 28463, AFTER THE FOX 26641, ALBERT CAMUS 29638, ALICE IN WONDERLAND 13573, ANNA CHRISTIE 17157, ARABIAN NIGHTS 34734, BATTLE OF THE BULGE 10045, BD-R 38657, BEAT THE DEVIL 4592, BEAU TRAVAIL 15771, BENGAZI 27938, BRIGITTE BARDOT 21584, BUNNY LAKE IS MISSING 1040, CAPTAIN BLOOD 5840, CERTIFIED COPY 6903, CHARIOTS OF FIRE 25344, CONFIDENTIALLY YOURS 34792, CONTEMPT 16536, CYRANO DE BERGERAC 23205, DARLING 21286, DAVID COPPERFIELD 23396, DIAL M FOR MURDER 11249, DIARY OF A COUNTRY PRIEST 16041, DJANGO UNCHAINED 5881, ELEPHANT BOY 31783, ENGLISH 24540, EYES WITHOUT A FACE 819, FIST OF THE NORTH STAR 26308, FLIPPER 6012, FRENCH 9003, FUNNY GAMES 5527, GIGI 17384, GUNGA DIN 20941, HAMLET 15896, HOW TO STUFF A WILD BIKINI 12087, HOWL'S MOVING CASTLE 26383, I CONFESS 27285, I WAS A MALE WAR BRIDE 7539, IVANHOE 847, JACK THE GIANT KILLER 21922, JANE EYRE 2527, JEANNE MOREAU 803, JERRY LEWIS 20567, JOHN CARTER 35705, JOURNEY TO THE CENTER OF THE EARTH 38986, JUNGLE BOOK 19098, KING KONG 14209, KING OF HEARTS 14156, KING SOLOMON'S MINES 26649, KISMET 37100, KNIGHTS OF THE ROUND TABLE 33519, LA HAINE 36940, LABYRINTH 30029, LAWRENCE OF ARABIA 35149, LE BEAU SERGE 39572, LES COUSINS 30157, LOLA 32275, LORD OF THE FLIES 14433, LOUIS MALLE 27050, MAN OF LA MANCHA 20579, MARAT/SADE 16925, MAYERLING 6543, MODEL SHOP 31657, MON ONCLE 31661, MY FAIR LADY 12358, MY FAVORITE SEASON 14797, O BROTHER, WHERE ART THOU? 27496, ONE MILLION YEARS B.C. 36988, OPERATION CROSSBOW 29693, PICKPOCKET 33032, PORT OF SHADOWS 15651, PREHISTORIC WOMEN 24745, PURPLE NOON 5897, REPULSION 15938, RIFIFI 15873, ROBIN AND MARIAN 2738, ROMEO AND JULIET 35586, SAHARA 6603, SEX IS COMEDY 27626, SHEENA 31316, SHERLOCK HOLMES AND THE SECRET WEAPON 8436, SPIRITS OF THE DEAD 15194, STORY OF WOMEN 11699, TARZAN THE APE MAN 18715, TARZAN'S NEW YORK ADVENTURE 21608, THE ADVENTURES OF HUCKLEBERRY FINN 24625, THE APARTMENT 15003, THE BATTLE OF ALGIERS 37980, THE BEDFORD INCIDENT 34737, THE BRIDE WORE BLACK 3354, THE BROTHERS GRIMM 18855, THE CADDY 14222, THE CANTERVILLE GHOST 7639, THE CHARGE OF THE LIGHT BRIGADE 18651, THE CORSICAN BROTHERS 21330, THE CRIMSON PIRATE 24990, THE CURSE OF FRANKENSTEIN 16800, THE DECEIVERS 39794, THE DISORDERLY ORDERLY 15154, THE FAMILY JEWELS 38631, THE FLAME AND THE ARROW 11635, THE FOUR FEATHERS 9166, THE GUNS OF NAVARONE 15600, THE HALLELUJAH TRAIL 38257, THE HAPPY TIME 15198, THE HUNCHBACK OF NOTRE DAME 25529, THE ILLUSIONIST 6836, THE IMMORTAL STORY 4091, THE LADY VANISHES 32231, THE LAND THAT TIME FORGOT 31569, THE LOVE PARADE 34018, THE LOVED ONE 4182, THE MAN IN THE IRON MASK 33513, THE MAN WHO LOVED WOMEN 13295, THE MARK OF ZORRO 4029, THE MASK OF FU MANCHU 2432, THE MASTER OF BALLANTRAE 32297, THE MERRY WIDOW 26820, THE MUMMY 1295, THE NUTTY PROFESSOR 5575, THE PEOPLE THAT TIME FORGOT 24512, THE PHANTOM TOLLBOOTH 22486, THE PRINCE AND THE PAUPER 31851, THE PRISONER OF ZENDA 18274, THE ROSE TATTOO 8477, THE SCARLET PIMPERNEL 11265, THE SEA HAWK 30746, THE SECRET LIFE OF WALTER MITTY 25495, THE SHOP ON MAIN STREET 8304, THE SILVER CHALICE 31647, THE SON OF THE SHEIK 34579, THE SPY WHO CAME IN FROM THE COLD 17143, THE STRANGER 7816, THE THREE MUSKETEERS 38808, THE TRAIN 983, THE TREASURE OF THE SIERRA MADRE 30491, THE TRIAL 13722, THE TRIAL OF JOAN OF ARC 29678, THE UMBRELLAS OF CHERBOURG 19255, THE VALACHI PAPERS 17568, THE VANISHING 12308, THE VIKINGS 27609, THE WIND AND THE LION 14471, THIS HAPPY BREED 24789, TO HAVE AND HAVE NOT 25443, TOM JONES 6724, TOM SAWYER 3029, TRIPLE CROSS 4378, VICTIM 30965, VILLAGE OF THE GIANTS 11659, VIVA MARIA! 22844, WENT THE DAY WELL? 35212, WHO'S AFRAID OF VIRGINIA WOOLF? 6037, WITCHFINDER GENERAL 38760, Z 23675, ZERO FOR CONDUCT src, edge_attr, dst 11832, has_tags, 10045 11832, release_year, 4981 6718, has_tags, 10045 6718, in_language, 31783 12649, has_tags, 10045 12649, in_language, 6012 8221, has_tags, 10045 8221, has_tags, 6012 8221, in_language, 6012 24319, has_tags, 10045 24319, in_language, 31783 16054, has_genre, 4763 16054, has_tags, 4763 16054, has_tags, 10045 10341, has_genre, 4763 10341, has_tags, 10045 28463, has_tags, 10045 28463, in_language, 31783 29638, has_genre, 4763 29638, has_tags, 10045 29638, in_language, 31783 13573, has_tags, 10045 13573, in_language, 31783 17157, has_genre, 4763 17157, has_tags, 10045 34734, has_tags, 10045 34734, release_year, 4981 38657, has_genre, 4763 38657, has_tags, 10045 4592, has_tags, 10045 4592, in_language, 6012 15771, has_genre, 4763 15771, has_tags, 10045 21584, has_tags, 10045 21584, release_year, 4981 1040, has_genre, 4763 1040, has_tags, 4763 1040, has_tags, 10045 5840, in_language, 31783 5840, in_language, 6012 6903, has_tags, 10045 6903, in_language, 31783 25344, has_tags, 10045 25344, in_language, 6012 34792, has_tags, 10045 34792, starred_actors, 27938 16536, has_tags, 10045 16536, has_tags, 6012 16536, in_language, 31783 16536, in_language, 6012 23205, has_tags, 10045 23205, release_year, 4981 21286, has_genre, 4763 21286, has_tags, 10045 23396, has_tags, 10045 23396, in_language, 31783 11249, has_tags, 10045 11249, in_language, 6012 16041, has_tags, 10045 16041, in_language, 31783 5881, has_genre, 4763 5881, has_tags, 10045 24540, has_tags, 10045 24540, in_language, 6012 819, has_tags, 10045 819, in_language, 31783 26308, has_genre, 4763 26308, has_tags, 10045 9003, has_tags, 10045 9003, in_language, 31783 5527, has_tags, 10045 5527, in_language, 31783 5527, in_language, 6012 17384, has_genre, 4763 17384, has_tags, 10045 20941, has_tags, 10045 20941, in_language, 31783 15896, has_tags, 10045 15896, release_year, 4981 12087, has_genre, 4763 12087, has_tags, 4763 12087, has_tags, 10045 26383, has_tags, 10045 26383, in_language, 6012 27285, has_tags, 10045 27285, in_language, 6012 7539, has_genre, 4763 7539, has_tags, 10045 847, has_genre, 4763 847, has_tags, 10045 847, in_language, 31783 21922, has_tags, 10045 21922, in_language, 31783 21922, in_language, 6012 20567, has_genre, 4763 20567, has_tags, 10045 35705, has_genre, 4763 35705, has_tags, 4763 35705, has_tags, 10045 38986, has_genre, 4763 38986, has_tags, 10045 19098, has_genre, 4763 19098, has_tags, 4763 19098, has_tags, 10045 14209, has_tags, 10045 14209, in_language, 6012 14156, has_genre, 4763 14156, has_tags, 4763 14156, has_tags, 10045 26649, has_tags, 10045 26649, in_language, 31783 37100, has_genre, 4763 37100, has_tags, 10045 33519, has_tags, 10045 33519, has_tags, 6012 33519, in_language, 6012 36940, has_genre, 4763 36940, has_tags, 4763 36940, has_tags, 10045 30029, has_genre, 4763 30029, has_tags, 10045 35149, has_tags, 10045 35149, in_language, 6012 39572, has_tags, 10045 39572, in_language, 6012 30157, has_tags, 10045 30157, in_language, 6012 32275, has_tags, 10045 32275, in_language, 31783 27050, has_tags, 10045 27050, in_language, 31783 20579, has_tags, 10045 20579, in_language, 31783 16925, has_tags, 10045 16925, in_language, 31783 16925, in_language, 6012 6543, has_tags, 10045 6543, in_language, 31783 31657, has_tags, 10045 31657, in_language, 6012 31661, has_tags, 10045 31661, in_language, 31783 12358, has_tags, 10045 12358, in_language, 6012 14797, has_genre, 4763 14797, has_tags, 4763 14797, has_tags, 10045 27496, has_genre, 4763 27496, has_tags, 10045 36988, has_tags, 10045 36988, release_year, 4981 29693, has_tags, 10045 29693, in_language, 6012 33032, has_tags, 10045 33032, in_language, 6012 15651, has_genre, 4763 15651, has_tags, 10045 24745, has_tags, 10045 24745, in_language, 6012 5897, has_tags, 10045 5897, in_language, 31783 5897, release_year, 4981 15938, has_tags, 10045 15938, in_language, 6012 15873, has_genre, 4763 15873, has_tags, 10045 2738, has_tags, 10045 2738, in_language, 31783 35586, has_genre, 4763 35586, has_tags, 10045 6603, has_tags, 10045 6603, in_language, 6012 27626, has_genre, 4763 27626, has_tags, 10045 31316, has_genre, 4763 31316, has_tags, 10045 8436, directed_by, 14433 8436, has_tags, 10045 8436, in_language, 31783 8436, in_language, 6012 8436, starred_actors, 27938 8436, written_by, 14433 15194, has_tags, 10045 15194, in_language, 6012 11699, has_genre, 4763 11699, has_tags, 10045 18715, has_genre, 4763 18715, has_tags, 10045 21608, has_genre, 4763 21608, has_tags, 10045 24625, has_tags, 10045 24625, in_language, 6012 15003, has_tags, 10045 15003, has_tags, 6012 15003, in_language, 6012 37980, has_tags, 10045 37980, release_year, 4981 34737, has_tags, 10045 34737, in_language, 6012 34737, starred_actors, 2527 3354, has_genre, 4763 3354, has_tags, 4763 3354, has_tags, 10045 3354, in_language, 6012 18855, has_tags, 10045 18855, starred_actors, 803 14222, has_tags, 10045 14222, in_language, 31783 7639, has_genre, 4763 7639, has_tags, 10045 18651, has_tags, 10045 18651, in_language, 31783 21330, has_genre, 4763 21330, has_tags, 10045 24990, has_tags, 10045 24990, in_language, 31783 16800, has_genre, 4763 16800, has_tags, 10045 39794, starred_actors, 803 15154, directed_by, 803 15154, release_year, 4981 15154, starred_actors, 803 15154, written_by, 803 38631, has_genre, 4763 38631, has_tags, 10045 11635, has_genre, 4763 11635, has_tags, 10045 9166, has_genre, 4763 9166, has_tags, 10045 15600, has_tags, 10045 15600, release_year, 4981 38257, has_tags, 10045 38257, in_language, 6012 15198, has_tags, 10045 15198, in_language, 31783 15198, in_language, 6012 25529, has_tags, 10045 25529, in_language, 6012 6836, has_tags, 10045 6836, in_language, 6012 6836, starred_actors, 2527 4091, has_tags, 10045 4091, in_language, 31783 32231, has_genre, 4763 32231, has_tags, 4763 32231, has_tags, 10045 31569, has_tags, 10045 31569, in_language, 6012 34018, has_tags, 10045 34018, release_year, 4981 4182, has_genre, 4763 4182, has_tags, 4763 4182, has_tags, 10045 33513, has_tags, 10045 33513, in_language, 6012 13295, has_genre, 4763 13295, has_tags, 10045 4029, has_genre, 4763 4029, has_tags, 10045 2432, has_genre, 4763 2432, has_tags, 10045 32297, has_tags, 10045 32297, in_language, 6012 26820, has_genre, 4763 26820, has_tags, 4763 26820, has_tags, 10045 1295, directed_by, 803 1295, has_tags, 10045 1295, has_tags, 803 1295, starred_actors, 803 1295, written_by, 803 5575, has_genre, 4763 5575, has_tags, 10045 24512, has_genre, 4763 24512, has_tags, 10045 22486, has_genre, 4763 22486, has_tags, 10045 31851, has_genre, 4763 31851, has_tags, 10045 18274, has_tags, 10045 18274, in_language, 31783 8477, has_genre, 4763 8477, has_tags, 10045 8477, in_language, 31783 8477, in_language, 6012 11265, has_tags, 10045 11265, in_language, 31783 30746, has_genre, 4763 30746, has_tags, 10045 30746, in_language, 31783 25495, has_tags, 10045 25495, release_year, 4981 8304, has_tags, 10045 8304, in_language, 31783 31647, has_genre, 4763 31647, has_tags, 10045 34579, has_tags, 10045 34579, in_language, 31783 34579, release_year, 4981 17143, has_tags, 10045 17143, written_by, 26641 7816, has_genre, 4763 7816, has_tags, 10045 38808, has_tags, 10045 38808, starred_actors, 2527 983, has_genre, 4763 983, has_tags, 10045 983, in_language, 31783 30491, has_tags, 10045 30491, starred_actors, 2527 13722, has_tags, 10045 13722, in_language, 6012 29678, has_tags, 10045 29678, has_tags, 6012 29678, in_language, 6012 19255, has_tags, 10045 19255, in_language, 31783 17568, has_tags, 10045 17568, in_language, 31783 17568, in_language, 6012 12308, has_genre, 4763 12308, has_tags, 10045 27609, has_genre, 4763 27609, has_tags, 10045 14471, has_tags, 10045 14471, in_language, 31783 24789, has_genre, 4763 24789, has_tags, 10045 25443, has_genre, 4763 25443, has_tags, 10045 6724, has_genre, 4763 6724, has_tags, 10045 3029, has_tags, 10045 3029, in_language, 6012 4378, has_tags, 10045 4378, in_language, 31783 30965, has_tags, 10045 30965, release_year, 4981 11659, directed_by, 14433 11659, has_genre, 4763 11659, has_tags, 10045 11659, has_tags, 27938 11659, has_tags, 6012 11659, has_tags, 2527 11659, has_tags, 14433 11659, in_language, 31783 11659, in_language, 6012 11659, release_year, 4981 11659, starred_actors, 27938 11659, starred_actors, 2527 11659, written_by, 14433 22844, has_tags, 10045 22844, in_language, 31783 35212, has_tags, 10045 35212, in_language, 31783 6037, has_tags, 10045 6037, in_language, 31783 38760, has_tags, 10045 38760, in_language, 6012 23675, has_tags, 10045 23675, has_tags, 6012 23675, in_language, 6012 Question: In what context are ALBERT CAMUS, THE DISORDERLY ORDERLY, and VIVA MARIA! connected? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "ALBERT CAMUS", "THE DISORDERLY ORDERLY", "VIVA MARIA!" ], "valid_edges": [ [ "A CHARLIE BROWN CHRISTMAS", "has_tags", "BD-R" ], [ "A CHARLIE BROWN CHRISTMAS", "release_year", "1965" ], [ "A FAREWELL TO ARMS", "has_tags", "BD-R" ], [ "A FAREWELL TO ARMS", "in_language", "ENGLISH" ], [ "A LITTLE ROMANCE", "has_tags", "BD-R" ], [ "A LITTLE ROMANCE", "in_language", "FRENCH" ], [ "A MAN ESCAPED", "has_tags", "BD-R" ], [ "A MAN ESCAPED", "has_tags", "FRENCH" ], [ "A MAN ESCAPED", "in_language", "FRENCH" ], [ "A PASSAGE TO INDIA", "has_tags", "BD-R" ], [ "A PASSAGE TO INDIA", "in_language", "ENGLISH" ], [ "ADVENTURES IN BABYSITTING", "has_genre", "ADVENTURE" ], [ "ADVENTURES IN BABYSITTING", "has_tags", "ADVENTURE" ], [ "ADVENTURES IN BABYSITTING", "has_tags", "BD-R" ], [ "ADVENTURES OF DON JUAN", "has_genre", "ADVENTURE" ], [ "ADVENTURES OF DON JUAN", "has_tags", "BD-R" ], [ "AFTER THE FOX", "has_tags", "BD-R" ], [ "AFTER THE FOX", "in_language", "ENGLISH" ], [ "ALICE IN WONDERLAND", "has_genre", "ADVENTURE" ], [ "ALICE IN WONDERLAND", "has_tags", "BD-R" ], [ "ALICE IN WONDERLAND", "in_language", "ENGLISH" ], [ "ANNA CHRISTIE", "has_tags", "BD-R" ], [ "ANNA CHRISTIE", "in_language", "ENGLISH" ], [ "ARABIAN NIGHTS", "has_genre", "ADVENTURE" ], [ "ARABIAN NIGHTS", "has_tags", "BD-R" ], [ "BATTLE OF THE BULGE", "has_tags", "BD-R" ], [ "BATTLE OF THE BULGE", "release_year", "1965" ], [ "BEAT THE DEVIL", "has_genre", "ADVENTURE" ], [ "BEAT THE DEVIL", "has_tags", "BD-R" ], [ "BEAU TRAVAIL", "has_tags", "BD-R" ], [ "BEAU TRAVAIL", "in_language", "FRENCH" ], [ "BENGAZI", "has_genre", "ADVENTURE" ], [ "BENGAZI", "has_tags", "BD-R" ], [ "BUNNY LAKE IS MISSING", "has_tags", "BD-R" ], [ "BUNNY LAKE IS MISSING", "release_year", "1965" ], [ "CAPTAIN BLOOD", "has_genre", "ADVENTURE" ], [ "CAPTAIN BLOOD", "has_tags", "ADVENTURE" ], [ "CAPTAIN BLOOD", "has_tags", "BD-R" ], [ "CERTIFIED COPY", "in_language", "ENGLISH" ], [ "CERTIFIED COPY", "in_language", "FRENCH" ], [ "CHARIOTS OF FIRE", "has_tags", "BD-R" ], [ "CHARIOTS OF FIRE", "in_language", "ENGLISH" ], [ "CONFIDENTIALLY YOURS", "has_tags", "BD-R" ], [ "CONFIDENTIALLY YOURS", "in_language", "FRENCH" ], [ "CONTEMPT", "has_tags", "BD-R" ], [ "CONTEMPT", "starred_actors", "BRIGITTE BARDOT" ], [ "CYRANO DE BERGERAC", "has_tags", "BD-R" ], [ "CYRANO DE BERGERAC", "has_tags", "FRENCH" ], [ "CYRANO DE BERGERAC", "in_language", "ENGLISH" ], [ "CYRANO DE BERGERAC", "in_language", "FRENCH" ], [ "DARLING", "has_tags", "BD-R" ], [ "DARLING", "release_year", "1965" ], [ "DAVID COPPERFIELD", "has_genre", "ADVENTURE" ], [ "DAVID COPPERFIELD", "has_tags", "BD-R" ], [ "DIAL M FOR MURDER", "has_tags", "BD-R" ], [ "DIAL M FOR MURDER", "in_language", "ENGLISH" ], [ "DIARY OF A COUNTRY PRIEST", "has_tags", "BD-R" ], [ "DIARY OF A COUNTRY PRIEST", "in_language", "FRENCH" ], [ "DJANGO UNCHAINED", "has_tags", "BD-R" ], [ "DJANGO UNCHAINED", "in_language", "ENGLISH" ], [ "ELEPHANT BOY", "has_genre", "ADVENTURE" ], [ "ELEPHANT BOY", "has_tags", "BD-R" ], [ "EYES WITHOUT A FACE", "has_tags", "BD-R" ], [ "EYES WITHOUT A FACE", "in_language", "FRENCH" ], [ "FIST OF THE NORTH STAR", "has_tags", "BD-R" ], [ "FIST OF THE NORTH STAR", "in_language", "ENGLISH" ], [ "FLIPPER", "has_genre", "ADVENTURE" ], [ "FLIPPER", "has_tags", "BD-R" ], [ "FUNNY GAMES", "has_tags", "BD-R" ], [ "FUNNY GAMES", "in_language", "ENGLISH" ], [ "GIGI", "has_tags", "BD-R" ], [ "GIGI", "in_language", "ENGLISH" ], [ "GIGI", "in_language", "FRENCH" ], [ "GUNGA DIN", "has_genre", "ADVENTURE" ], [ "GUNGA DIN", "has_tags", "BD-R" ], [ "HAMLET", "has_tags", "BD-R" ], [ "HAMLET", "in_language", "ENGLISH" ], [ "HOW TO STUFF A WILD BIKINI", "has_tags", "BD-R" ], [ "HOW TO STUFF A WILD BIKINI", "release_year", "1965" ], [ "HOWL'S MOVING CASTLE", "has_genre", "ADVENTURE" ], [ "HOWL'S MOVING CASTLE", "has_tags", "ADVENTURE" ], [ "HOWL'S MOVING CASTLE", "has_tags", "BD-R" ], [ "I CONFESS", "has_tags", "BD-R" ], [ "I CONFESS", "in_language", "FRENCH" ], [ "I WAS A MALE WAR BRIDE", "has_tags", "BD-R" ], [ "I WAS A MALE WAR BRIDE", "in_language", "FRENCH" ], [ "IVANHOE", "has_genre", "ADVENTURE" ], [ "IVANHOE", "has_tags", "BD-R" ], [ "JACK THE GIANT KILLER", "has_genre", "ADVENTURE" ], [ "JACK THE GIANT KILLER", "has_tags", "BD-R" ], [ "JACK THE GIANT KILLER", "in_language", "ENGLISH" ], [ "JANE EYRE", "has_tags", "BD-R" ], [ "JANE EYRE", "in_language", "ENGLISH" ], [ "JANE EYRE", "in_language", "FRENCH" ], [ "JOHN CARTER", "has_genre", "ADVENTURE" ], [ "JOHN CARTER", "has_tags", "BD-R" ], [ "JOURNEY TO THE CENTER OF THE EARTH", "has_genre", "ADVENTURE" ], [ "JOURNEY TO THE CENTER OF THE EARTH", "has_tags", "ADVENTURE" ], [ "JOURNEY TO THE CENTER OF THE EARTH", "has_tags", "BD-R" ], [ "JUNGLE BOOK", "has_genre", "ADVENTURE" ], [ "JUNGLE BOOK", "has_tags", "BD-R" ], [ "KING KONG", "has_genre", "ADVENTURE" ], [ "KING KONG", "has_tags", "ADVENTURE" ], [ "KING KONG", "has_tags", "BD-R" ], [ "KING OF HEARTS", "has_tags", "BD-R" ], [ "KING OF HEARTS", "in_language", "FRENCH" ], [ "KING SOLOMON'S MINES", "has_genre", "ADVENTURE" ], [ "KING SOLOMON'S MINES", "has_tags", "ADVENTURE" ], [ "KING SOLOMON'S MINES", "has_tags", "BD-R" ], [ "KISMET", "has_tags", "BD-R" ], [ "KISMET", "in_language", "ENGLISH" ], [ "KNIGHTS OF THE ROUND TABLE", "has_genre", "ADVENTURE" ], [ "KNIGHTS OF THE ROUND TABLE", "has_tags", "BD-R" ], [ "LA HAINE", "has_tags", "BD-R" ], [ "LA HAINE", "has_tags", "FRENCH" ], [ "LA HAINE", "in_language", "FRENCH" ], [ "LABYRINTH", "has_genre", "ADVENTURE" ], [ "LABYRINTH", "has_tags", "ADVENTURE" ], [ "LABYRINTH", "has_tags", "BD-R" ], [ "LAWRENCE OF ARABIA", "has_genre", "ADVENTURE" ], [ "LAWRENCE OF ARABIA", "has_tags", "BD-R" ], [ "LE BEAU SERGE", "has_tags", "BD-R" ], [ "LE BEAU SERGE", "in_language", "FRENCH" ], [ "LES COUSINS", "has_tags", "BD-R" ], [ "LES COUSINS", "in_language", "FRENCH" ], [ "LOLA", "has_tags", "BD-R" ], [ "LOLA", "in_language", "FRENCH" ], [ "LORD OF THE FLIES", "has_tags", "BD-R" ], [ "LORD OF THE FLIES", "in_language", "ENGLISH" ], [ "MAN OF LA MANCHA", "has_tags", "BD-R" ], [ "MAN OF LA MANCHA", "in_language", "ENGLISH" ], [ "MARAT/SADE", "has_tags", "BD-R" ], [ "MARAT/SADE", "in_language", "ENGLISH" ], [ "MAYERLING", "has_tags", "BD-R" ], [ "MAYERLING", "in_language", "ENGLISH" ], [ "MAYERLING", "in_language", "FRENCH" ], [ "MODEL SHOP", "has_tags", "BD-R" ], [ "MODEL SHOP", "in_language", "ENGLISH" ], [ "MON ONCLE", "has_tags", "BD-R" ], [ "MON ONCLE", "in_language", "FRENCH" ], [ "MY FAIR LADY", "has_tags", "BD-R" ], [ "MY FAIR LADY", "in_language", "ENGLISH" ], [ "MY FAVORITE SEASON", "has_tags", "BD-R" ], [ "MY FAVORITE SEASON", "in_language", "FRENCH" ], [ "O BROTHER, WHERE ART THOU?", "has_genre", "ADVENTURE" ], [ "O BROTHER, WHERE ART THOU?", "has_tags", "ADVENTURE" ], [ "O BROTHER, WHERE ART THOU?", "has_tags", "BD-R" ], [ "ONE MILLION YEARS B.C.", "has_genre", "ADVENTURE" ], [ "ONE MILLION YEARS B.C.", "has_tags", "BD-R" ], [ "OPERATION CROSSBOW", "has_tags", "BD-R" ], [ "OPERATION CROSSBOW", "release_year", "1965" ], [ "PICKPOCKET", "has_tags", "BD-R" ], [ "PICKPOCKET", "in_language", "FRENCH" ], [ "PORT OF SHADOWS", "has_tags", "BD-R" ], [ "PORT OF SHADOWS", "in_language", "FRENCH" ], [ "PREHISTORIC WOMEN", "has_genre", "ADVENTURE" ], [ "PREHISTORIC WOMEN", "has_tags", "BD-R" ], [ "PURPLE NOON", "has_tags", "BD-R" ], [ "PURPLE NOON", "in_language", "FRENCH" ], [ "REPULSION", "has_tags", "BD-R" ], [ "REPULSION", "in_language", "ENGLISH" ], [ "REPULSION", "release_year", "1965" ], [ "RIFIFI", "has_tags", "BD-R" ], [ "RIFIFI", "in_language", "FRENCH" ], [ "ROBIN AND MARIAN", "has_genre", "ADVENTURE" ], [ "ROBIN AND MARIAN", "has_tags", "BD-R" ], [ "ROMEO AND JULIET", "has_tags", "BD-R" ], [ "ROMEO AND JULIET", "in_language", "ENGLISH" ], [ "SAHARA", "has_genre", "ADVENTURE" ], [ "SAHARA", "has_tags", "BD-R" ], [ "SEX IS COMEDY", "has_tags", "BD-R" ], [ "SEX IS COMEDY", "in_language", "FRENCH" ], [ "SHEENA", "has_genre", "ADVENTURE" ], [ "SHEENA", "has_tags", "BD-R" ], [ "SHERLOCK HOLMES AND THE SECRET WEAPON", "has_genre", "ADVENTURE" ], [ "SHERLOCK HOLMES AND THE SECRET WEAPON", "has_tags", "BD-R" ], [ "SPIRITS OF THE DEAD", "directed_by", "LOUIS MALLE" ], [ "SPIRITS OF THE DEAD", "has_tags", "BD-R" ], [ "SPIRITS OF THE DEAD", "in_language", "ENGLISH" ], [ "SPIRITS OF THE DEAD", "in_language", "FRENCH" ], [ "SPIRITS OF THE DEAD", "starred_actors", "BRIGITTE BARDOT" ], [ "SPIRITS OF THE DEAD", "written_by", "LOUIS MALLE" ], [ "STORY OF WOMEN", "has_tags", "BD-R" ], [ "STORY OF WOMEN", "in_language", "FRENCH" ], [ "TARZAN THE APE MAN", "has_genre", "ADVENTURE" ], [ "TARZAN THE APE MAN", "has_tags", "BD-R" ], [ "TARZAN'S NEW YORK ADVENTURE", "has_genre", "ADVENTURE" ], [ "TARZAN'S NEW YORK ADVENTURE", "has_tags", "BD-R" ], [ "THE ADVENTURES OF HUCKLEBERRY FINN", "has_genre", "ADVENTURE" ], [ "THE ADVENTURES OF HUCKLEBERRY FINN", "has_tags", "BD-R" ], [ "THE APARTMENT", "has_tags", "BD-R" ], [ "THE APARTMENT", "in_language", "FRENCH" ], [ "THE BATTLE OF ALGIERS", "has_tags", "BD-R" ], [ "THE BATTLE OF ALGIERS", "has_tags", "FRENCH" ], [ "THE BATTLE OF ALGIERS", "in_language", "FRENCH" ], [ "THE BEDFORD INCIDENT", "has_tags", "BD-R" ], [ "THE BEDFORD INCIDENT", "release_year", "1965" ], [ "THE BRIDE WORE BLACK", "has_tags", "BD-R" ], [ "THE BRIDE WORE BLACK", "in_language", "FRENCH" ], [ "THE BRIDE WORE BLACK", "starred_actors", "JEANNE MOREAU" ], [ "THE BROTHERS GRIMM", "has_genre", "ADVENTURE" ], [ "THE BROTHERS GRIMM", "has_tags", "ADVENTURE" ], [ "THE BROTHERS GRIMM", "has_tags", "BD-R" ], [ "THE BROTHERS GRIMM", "in_language", "FRENCH" ], [ "THE CADDY", "has_tags", "BD-R" ], [ "THE CADDY", "starred_actors", "JERRY LEWIS" ], [ "THE CANTERVILLE GHOST", "has_tags", "BD-R" ], [ "THE CANTERVILLE GHOST", "in_language", "ENGLISH" ], [ "THE CHARGE OF THE LIGHT BRIGADE", "has_genre", "ADVENTURE" ], [ "THE CHARGE OF THE LIGHT BRIGADE", "has_tags", "BD-R" ], [ "THE CORSICAN BROTHERS", "has_tags", "BD-R" ], [ "THE CORSICAN BROTHERS", "in_language", "ENGLISH" ], [ "THE CRIMSON PIRATE", "has_genre", "ADVENTURE" ], [ "THE CRIMSON PIRATE", "has_tags", "BD-R" ], [ "THE CURSE OF FRANKENSTEIN", "has_tags", "BD-R" ], [ "THE CURSE OF FRANKENSTEIN", "in_language", "ENGLISH" ], [ "THE DECEIVERS", "has_genre", "ADVENTURE" ], [ "THE DECEIVERS", "has_tags", "BD-R" ], [ "THE DISORDERLY ORDERLY", "starred_actors", "JERRY LEWIS" ], [ "THE FAMILY JEWELS", "directed_by", "JERRY LEWIS" ], [ "THE FAMILY JEWELS", "release_year", "1965" ], [ "THE FAMILY JEWELS", "starred_actors", "JERRY LEWIS" ], [ "THE FAMILY JEWELS", "written_by", "JERRY LEWIS" ], [ "THE FLAME AND THE ARROW", "has_genre", "ADVENTURE" ], [ "THE FLAME AND THE ARROW", "has_tags", "BD-R" ], [ "THE FOUR FEATHERS", "has_genre", "ADVENTURE" ], [ "THE FOUR FEATHERS", "has_tags", "BD-R" ], [ "THE GUNS OF NAVARONE", "has_genre", "ADVENTURE" ], [ "THE GUNS OF NAVARONE", "has_tags", "BD-R" ], [ "THE HALLELUJAH TRAIL", "has_tags", "BD-R" ], [ "THE HALLELUJAH TRAIL", "release_year", "1965" ], [ "THE HAPPY TIME", "has_tags", "BD-R" ], [ "THE HAPPY TIME", "in_language", "FRENCH" ], [ "THE HUNCHBACK OF NOTRE DAME", "has_tags", "BD-R" ], [ "THE HUNCHBACK OF NOTRE DAME", "in_language", "ENGLISH" ], [ "THE HUNCHBACK OF NOTRE DAME", "in_language", "FRENCH" ], [ "THE ILLUSIONIST", "has_tags", "BD-R" ], [ "THE ILLUSIONIST", "in_language", "FRENCH" ], [ "THE IMMORTAL STORY", "has_tags", "BD-R" ], [ "THE IMMORTAL STORY", "in_language", "FRENCH" ], [ "THE IMMORTAL STORY", "starred_actors", "JEANNE MOREAU" ], [ "THE LADY VANISHES", "has_tags", "BD-R" ], [ "THE LADY VANISHES", "in_language", "ENGLISH" ], [ "THE LAND THAT TIME FORGOT", "has_genre", "ADVENTURE" ], [ "THE LAND THAT TIME FORGOT", "has_tags", "ADVENTURE" ], [ "THE LAND THAT TIME FORGOT", "has_tags", "BD-R" ], [ "THE LOVE PARADE", "has_tags", "BD-R" ], [ "THE LOVE PARADE", "in_language", "FRENCH" ], [ "THE LOVED ONE", "has_tags", "BD-R" ], [ "THE LOVED ONE", "release_year", "1965" ], [ "THE MAN IN THE IRON MASK", "has_genre", "ADVENTURE" ], [ "THE MAN IN THE IRON MASK", "has_tags", "ADVENTURE" ], [ "THE MAN IN THE IRON MASK", "has_tags", "BD-R" ], [ "THE MAN WHO LOVED WOMEN", "has_tags", "BD-R" ], [ "THE MAN WHO LOVED WOMEN", "in_language", "FRENCH" ], [ "THE MARK OF ZORRO", "has_genre", "ADVENTURE" ], [ "THE MARK OF ZORRO", "has_tags", "BD-R" ], [ "THE MASK OF FU MANCHU", "has_genre", "ADVENTURE" ], [ "THE MASK OF FU MANCHU", "has_tags", "BD-R" ], [ "THE MASTER OF BALLANTRAE", "has_genre", "ADVENTURE" ], [ "THE MASTER OF BALLANTRAE", "has_tags", "BD-R" ], [ "THE MERRY WIDOW", "has_tags", "BD-R" ], [ "THE MERRY WIDOW", "in_language", "FRENCH" ], [ "THE MUMMY", "has_genre", "ADVENTURE" ], [ "THE MUMMY", "has_tags", "ADVENTURE" ], [ "THE MUMMY", "has_tags", "BD-R" ], [ "THE NUTTY PROFESSOR", "directed_by", "JERRY LEWIS" ], [ "THE NUTTY PROFESSOR", "has_tags", "BD-R" ], [ "THE NUTTY PROFESSOR", "has_tags", "JERRY LEWIS" ], [ "THE NUTTY PROFESSOR", "starred_actors", "JERRY LEWIS" ], [ "THE NUTTY PROFESSOR", "written_by", "JERRY LEWIS" ], [ "THE PEOPLE THAT TIME FORGOT", "has_genre", "ADVENTURE" ], [ "THE PEOPLE THAT TIME FORGOT", "has_tags", "BD-R" ], [ "THE PHANTOM TOLLBOOTH", "has_genre", "ADVENTURE" ], [ "THE PHANTOM TOLLBOOTH", "has_tags", "BD-R" ], [ "THE PRINCE AND THE PAUPER", "has_genre", "ADVENTURE" ], [ "THE PRINCE AND THE PAUPER", "has_tags", "BD-R" ], [ "THE PRISONER OF ZENDA", "has_genre", "ADVENTURE" ], [ "THE PRISONER OF ZENDA", "has_tags", "BD-R" ], [ "THE ROSE TATTOO", "has_tags", "BD-R" ], [ "THE ROSE TATTOO", "in_language", "ENGLISH" ], [ "THE SCARLET PIMPERNEL", "has_genre", "ADVENTURE" ], [ "THE SCARLET PIMPERNEL", "has_tags", "BD-R" ], [ "THE SCARLET PIMPERNEL", "in_language", "ENGLISH" ], [ "THE SCARLET PIMPERNEL", "in_language", "FRENCH" ], [ "THE SEA HAWK", "has_tags", "BD-R" ], [ "THE SEA HAWK", "in_language", "ENGLISH" ], [ "THE SECRET LIFE OF WALTER MITTY", "has_genre", "ADVENTURE" ], [ "THE SECRET LIFE OF WALTER MITTY", "has_tags", "BD-R" ], [ "THE SECRET LIFE OF WALTER MITTY", "in_language", "ENGLISH" ], [ "THE SHOP ON MAIN STREET", "has_tags", "BD-R" ], [ "THE SHOP ON MAIN STREET", "release_year", "1965" ], [ "THE SILVER CHALICE", "has_tags", "BD-R" ], [ "THE SILVER CHALICE", "in_language", "ENGLISH" ], [ "THE SON OF THE SHEIK", "has_genre", "ADVENTURE" ], [ "THE SON OF THE SHEIK", "has_tags", "BD-R" ], [ "THE SPY WHO CAME IN FROM THE COLD", "has_tags", "BD-R" ], [ "THE SPY WHO CAME IN FROM THE COLD", "in_language", "ENGLISH" ], [ "THE SPY WHO CAME IN FROM THE COLD", "release_year", "1965" ], [ "THE STRANGER", "has_tags", "BD-R" ], [ "THE STRANGER", "written_by", "ALBERT CAMUS" ], [ "THE THREE MUSKETEERS", "has_genre", "ADVENTURE" ], [ "THE THREE MUSKETEERS", "has_tags", "BD-R" ], [ "THE TRAIN", "has_tags", "BD-R" ], [ "THE TRAIN", "starred_actors", "JEANNE MOREAU" ], [ "THE TREASURE OF THE SIERRA MADRE", "has_genre", "ADVENTURE" ], [ "THE TREASURE OF THE SIERRA MADRE", "has_tags", "BD-R" ], [ "THE TREASURE OF THE SIERRA MADRE", "in_language", "ENGLISH" ], [ "THE TRIAL", "has_tags", "BD-R" ], [ "THE TRIAL", "starred_actors", "JEANNE MOREAU" ], [ "THE TRIAL OF JOAN OF ARC", "has_tags", "BD-R" ], [ "THE TRIAL OF JOAN OF ARC", "in_language", "FRENCH" ], [ "THE UMBRELLAS OF CHERBOURG", "has_tags", "BD-R" ], [ "THE UMBRELLAS OF CHERBOURG", "has_tags", "FRENCH" ], [ "THE UMBRELLAS OF CHERBOURG", "in_language", "FRENCH" ], [ "THE VALACHI PAPERS", "has_tags", "BD-R" ], [ "THE VALACHI PAPERS", "in_language", "ENGLISH" ], [ "THE VANISHING", "has_tags", "BD-R" ], [ "THE VANISHING", "in_language", "ENGLISH" ], [ "THE VANISHING", "in_language", "FRENCH" ], [ "THE VIKINGS", "has_genre", "ADVENTURE" ], [ "THE VIKINGS", "has_tags", "BD-R" ], [ "THE WIND AND THE LION", "has_genre", "ADVENTURE" ], [ "THE WIND AND THE LION", "has_tags", "BD-R" ], [ "THIS HAPPY BREED", "has_tags", "BD-R" ], [ "THIS HAPPY BREED", "in_language", "ENGLISH" ], [ "TO HAVE AND HAVE NOT", "has_genre", "ADVENTURE" ], [ "TO HAVE AND HAVE NOT", "has_tags", "BD-R" ], [ "TOM JONES", "has_genre", "ADVENTURE" ], [ "TOM JONES", "has_tags", "BD-R" ], [ "TOM SAWYER", "has_genre", "ADVENTURE" ], [ "TOM SAWYER", "has_tags", "BD-R" ], [ "TRIPLE CROSS", "has_tags", "BD-R" ], [ "TRIPLE CROSS", "in_language", "FRENCH" ], [ "VICTIM", "has_tags", "BD-R" ], [ "VICTIM", "in_language", "ENGLISH" ], [ "VILLAGE OF THE GIANTS", "has_tags", "BD-R" ], [ "VILLAGE OF THE GIANTS", "release_year", "1965" ], [ "VIVA MARIA!", "directed_by", "LOUIS MALLE" ], [ "VIVA MARIA!", "has_genre", "ADVENTURE" ], [ "VIVA MARIA!", "has_tags", "BD-R" ], [ "VIVA MARIA!", "has_tags", "BRIGITTE BARDOT" ], [ "VIVA MARIA!", "has_tags", "FRENCH" ], [ "VIVA MARIA!", "has_tags", "JEANNE MOREAU" ], [ "VIVA MARIA!", "has_tags", "LOUIS MALLE" ], [ "VIVA MARIA!", "in_language", "ENGLISH" ], [ "VIVA MARIA!", "in_language", "FRENCH" ], [ "VIVA MARIA!", "release_year", "1965" ], [ "VIVA MARIA!", "starred_actors", "BRIGITTE BARDOT" ], [ "VIVA MARIA!", "starred_actors", "JEANNE MOREAU" ], [ "VIVA MARIA!", "written_by", "LOUIS MALLE" ], [ "WENT THE DAY WELL?", "has_tags", "BD-R" ], [ "WENT THE DAY WELL?", "in_language", "ENGLISH" ], [ "WHO'S AFRAID OF VIRGINIA WOOLF?", "has_tags", "BD-R" ], [ "WHO'S AFRAID OF VIRGINIA WOOLF?", "in_language", "ENGLISH" ], [ "WITCHFINDER GENERAL", "has_tags", "BD-R" ], [ "WITCHFINDER GENERAL", "in_language", "ENGLISH" ], [ "Z", "has_tags", "BD-R" ], [ "Z", "in_language", "FRENCH" ], [ "ZERO FOR CONDUCT", "has_tags", "BD-R" ], [ "ZERO FOR CONDUCT", "has_tags", "FRENCH" ], [ "ZERO FOR CONDUCT", "in_language", "FRENCH" ] ] }

metaqa

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 5438, 1931 18132, 1938 35063, 1976 1092, ARROWSMITH 3706, BEULAH BONDI 32354, FOUR MEN AND A PRAYER 7736, JAMES STEWART 13255, JOHN FORD 15311, OF HUMAN HEARTS 31805, SEAS BENEATH 28357, ST. IVES 7352, STREET SCENE 19417, THE CRIMINAL CODE 36235, THE MAN WHO SHOT LIBERTY VALANCE 31357, THE SHOOTIST 32860, THE SHOPWORN ANGEL 30453, THE STAR WITNESS 37207, TWO RODE TOGETHER 13631, VIVACIOUS LADY 27356, WALTER HUSTON 8184, YOU CAN'T TAKE IT WITH YOU src, edge_attr, dst 1092, directed_by, 13255 1092, release_year, 5438 32354, directed_by, 13255 32354, release_year, 18132 15311, release_year, 18132 15311, starred_actors, 3706 15311, starred_actors, 7736 15311, starred_actors, 27356 31805, directed_by, 13255 31805, release_year, 5438 28357, release_year, 35063 7352, release_year, 5438 7352, starred_actors, 3706 19417, release_year, 5438 19417, starred_actors, 27356 36235, directed_by, 13255 36235, has_tags, 7736 36235, has_tags, 13255 36235, starred_actors, 7736 31357, release_year, 35063 31357, starred_actors, 7736 32860, release_year, 18132 32860, starred_actors, 7736 30453, release_year, 5438 30453, starred_actors, 27356 37207, directed_by, 13255 37207, starred_actors, 7736 13631, release_year, 18132 13631, starred_actors, 3706 13631, starred_actors, 7736 8184, has_tags, 7736 8184, release_year, 18132 8184, starred_actors, 7736 Question: For what reason are ARROWSMITH, OF HUMAN HEARTS, and ST. IVES associated? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "ARROWSMITH", "OF HUMAN HEARTS", "ST. IVES" ], "valid_edges": [ [ "ARROWSMITH", "directed_by", "JOHN FORD" ], [ "ARROWSMITH", "release_year", "1931" ], [ "FOUR MEN AND A PRAYER", "directed_by", "JOHN FORD" ], [ "FOUR MEN AND A PRAYER", "release_year", "1938" ], [ "OF HUMAN HEARTS", "release_year", "1938" ], [ "OF HUMAN HEARTS", "starred_actors", "BEULAH BONDI" ], [ "OF HUMAN HEARTS", "starred_actors", "JAMES STEWART" ], [ "OF HUMAN HEARTS", "starred_actors", "WALTER HUSTON" ], [ "SEAS BENEATH", "directed_by", "JOHN FORD" ], [ "SEAS BENEATH", "release_year", "1931" ], [ "ST. IVES", "release_year", "1976" ], [ "STREET SCENE", "release_year", "1931" ], [ "STREET SCENE", "starred_actors", "BEULAH BONDI" ], [ "THE CRIMINAL CODE", "release_year", "1931" ], [ "THE CRIMINAL CODE", "starred_actors", "WALTER HUSTON" ], [ "THE MAN WHO SHOT LIBERTY VALANCE", "directed_by", "JOHN FORD" ], [ "THE MAN WHO SHOT LIBERTY VALANCE", "has_tags", "JAMES STEWART" ], [ "THE MAN WHO SHOT LIBERTY VALANCE", "has_tags", "JOHN FORD" ], [ "THE MAN WHO SHOT LIBERTY VALANCE", "starred_actors", "JAMES STEWART" ], [ "THE SHOOTIST", "release_year", "1976" ], [ "THE SHOOTIST", "starred_actors", "JAMES STEWART" ], [ "THE SHOPWORN ANGEL", "release_year", "1938" ], [ "THE SHOPWORN ANGEL", "starred_actors", "JAMES STEWART" ], [ "THE STAR WITNESS", "release_year", "1931" ], [ "THE STAR WITNESS", "starred_actors", "WALTER HUSTON" ], [ "TWO RODE TOGETHER", "directed_by", "JOHN FORD" ], [ "TWO RODE TOGETHER", "starred_actors", "JAMES STEWART" ], [ "VIVACIOUS LADY", "release_year", "1938" ], [ "VIVACIOUS LADY", "starred_actors", "BEULAH BONDI" ], [ "VIVACIOUS LADY", "starred_actors", "JAMES STEWART" ], [ "YOU CAN'T TAKE IT WITH YOU", "has_tags", "JAMES STEWART" ], [ "YOU CAN'T TAKE IT WITH YOU", "release_year", "1938" ], [ "YOU CAN'T TAKE IT WITH YOU", "starred_actors", "JAMES STEWART" ] ] }

metaqa

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 36173, 1946 30146, A CHRISTMAS CAROL 16150, A CHRISTMAS STORY 19697, ALAIN RESNAIS 9677, ANATOMY OF A MURDER 25570, BEAUTY AND THE BEAST 2313, BEN-HUR 17280, CHRISTMAS 14728, CLASSIC 22958, FAMOUS 1331, IT'S A WONDERFUL LIFE 7736, JAMES STEWART 30057, LAST YEAR AT MARIENBAD 39471, LETTERS TO JULIET 25534, LONG 13672, LOVE ACTUALLY 1994, NOTORIOUS 15644, OLIVER TWIST 37135, REAR WINDOW 38875, ROMANTIC 40066, THE JUNGLE BOOK 28776, THE WIZARD OF OZ 7957, VERTIGO 33318, YOU AIN'T SEEN NOTHIN' YET src, edge_attr, dst 30146, has_imdb_votes, 22958 30146, has_tags, 17280 30146, has_tags, 14728 16150, has_tags, 17280 16150, has_tags, 14728 9677, has_imdb_votes, 22958 9677, has_tags, 7736 9677, starred_actors, 7736 25570, has_imdb_votes, 22958 25570, has_tags, 14728 25570, release_year, 36173 2313, has_imdb_votes, 22958 2313, has_tags, 25534 1331, has_tags, 17280 1331, has_tags, 14728 1331, has_tags, 7736 1331, has_tags, 25534 1331, release_year, 36173 1331, starred_actors, 7736 30057, directed_by, 19697 30057, has_imdb_votes, 22958 30057, has_tags, 19697 39471, has_imdb_votes, 22958 39471, has_tags, 38875 13672, has_tags, 17280 13672, has_tags, 38875 1994, has_imdb_votes, 22958 1994, release_year, 36173 15644, has_imdb_votes, 22958 15644, has_tags, 14728 37135, has_tags, 14728 37135, has_tags, 7736 37135, starred_actors, 7736 40066, has_imdb_votes, 22958 40066, has_tags, 14728 28776, has_imdb_votes, 22958 28776, has_tags, 14728 7957, has_tags, 14728 7957, has_tags, 7736 7957, starred_actors, 7736 33318, directed_by, 19697 33318, has_tags, 19697 33318, written_by, 19697 Question: How are IT'S A WONDERFUL LIFE, LETTERS TO JULIET, and YOU AIN'T SEEN NOTHIN' YET related? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "IT'S A WONDERFUL LIFE", "LETTERS TO JULIET", "YOU AIN'T SEEN NOTHIN' YET" ], "valid_edges": [ [ "A CHRISTMAS CAROL", "has_imdb_votes", "FAMOUS" ], [ "A CHRISTMAS CAROL", "has_tags", "CHRISTMAS" ], [ "A CHRISTMAS CAROL", "has_tags", "CLASSIC" ], [ "A CHRISTMAS STORY", "has_tags", "CHRISTMAS" ], [ "A CHRISTMAS STORY", "has_tags", "CLASSIC" ], [ "ANATOMY OF A MURDER", "has_imdb_votes", "FAMOUS" ], [ "ANATOMY OF A MURDER", "has_tags", "JAMES STEWART" ], [ "ANATOMY OF A MURDER", "starred_actors", "JAMES STEWART" ], [ "BEAUTY AND THE BEAST", "has_imdb_votes", "FAMOUS" ], [ "BEAUTY AND THE BEAST", "has_tags", "CLASSIC" ], [ "BEAUTY AND THE BEAST", "release_year", "1946" ], [ "BEN-HUR", "has_imdb_votes", "FAMOUS" ], [ "BEN-HUR", "has_tags", "LONG" ], [ "IT'S A WONDERFUL LIFE", "has_tags", "CHRISTMAS" ], [ "IT'S A WONDERFUL LIFE", "has_tags", "CLASSIC" ], [ "IT'S A WONDERFUL LIFE", "has_tags", "JAMES STEWART" ], [ "IT'S A WONDERFUL LIFE", "has_tags", "LONG" ], [ "IT'S A WONDERFUL LIFE", "release_year", "1946" ], [ "IT'S A WONDERFUL LIFE", "starred_actors", "JAMES STEWART" ], [ "LAST YEAR AT MARIENBAD", "directed_by", "ALAIN RESNAIS" ], [ "LAST YEAR AT MARIENBAD", "has_imdb_votes", "FAMOUS" ], [ "LAST YEAR AT MARIENBAD", "has_tags", "ALAIN RESNAIS" ], [ "LETTERS TO JULIET", "has_imdb_votes", "FAMOUS" ], [ "LETTERS TO JULIET", "has_tags", "ROMANTIC" ], [ "LOVE ACTUALLY", "has_tags", "CHRISTMAS" ], [ "LOVE ACTUALLY", "has_tags", "ROMANTIC" ], [ "NOTORIOUS", "has_imdb_votes", "FAMOUS" ], [ "NOTORIOUS", "release_year", "1946" ], [ "OLIVER TWIST", "has_imdb_votes", "FAMOUS" ], [ "OLIVER TWIST", "has_tags", "CLASSIC" ], [ "REAR WINDOW", "has_tags", "CLASSIC" ], [ "REAR WINDOW", "has_tags", "JAMES STEWART" ], [ "REAR WINDOW", "starred_actors", "JAMES STEWART" ], [ "THE JUNGLE BOOK", "has_imdb_votes", "FAMOUS" ], [ "THE JUNGLE BOOK", "has_tags", "CLASSIC" ], [ "THE WIZARD OF OZ", "has_imdb_votes", "FAMOUS" ], [ "THE WIZARD OF OZ", "has_tags", "CLASSIC" ], [ "VERTIGO", "has_tags", "CLASSIC" ], [ "VERTIGO", "has_tags", "JAMES STEWART" ], [ "VERTIGO", "starred_actors", "JAMES STEWART" ], [ "YOU AIN'T SEEN NOTHIN' YET", "directed_by", "ALAIN RESNAIS" ], [ "YOU AIN'T SEEN NOTHIN' YET", "has_tags", "ALAIN RESNAIS" ], [ "YOU AIN'T SEEN NOTHIN' YET", "written_by", "ALAIN RESNAIS" ] ] }

metaqa

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 1421, 2013 3560, A FIELD IN ENGLAND 20723, ALAN PARTRIDGE 30870, BEAUTIFUL CREATURES 8381, DETOUR 31783, ENGLISH 37158, ERIC HEISSERER 21573, GIRL ON A BICYCLE 12776, GRAND PIANO 33776, HOURS 847, JACK THE GIANT KILLER 37407, JACK THE GIANT SLAYER 29418, JEREMY IRONS 24015, LORD OF TEARS 31324, NIGHT TRAIN TO LISBON 16883, NORWEGIAN 25824, PARADISE 8352, PARANOIA 39135, REACHING FOR THE MOON 38271, SNOWPIERCER 18443, SONDRE KROGTOFT LARSEN 30357, STOKER 6949, SUNSHINE ON LEITH 38107, THE EAST 24306, THE ENGLISH TEACHER 38918, THE FAMILY 2872, THE GREAT GATSBY 30746, THE SECRET LIFE OF WALTER MITTY 19624, THE THING 30209, YEH JAWAANI HAI DEEWANI 17777, ZULU src, edge_attr, dst 3560, in_language, 31783 3560, release_year, 1421 20723, in_language, 31783 20723, release_year, 1421 30870, release_year, 1421 30870, starred_actors, 29418 8381, in_language, 16883 8381, starred_actors, 18443 21573, in_language, 31783 21573, release_year, 1421 12776, in_language, 31783 12776, release_year, 1421 33776, directed_by, 37158 33776, release_year, 1421 33776, written_by, 37158 847, in_language, 31783 847, release_year, 1421 37407, in_language, 31783 37407, release_year, 1421 24015, in_language, 31783 24015, release_year, 1421 31324, has_tags, 29418 31324, in_language, 31783 31324, release_year, 1421 31324, starred_actors, 29418 25824, in_language, 31783 25824, release_year, 1421 8352, release_year, 1421 39135, in_language, 31783 39135, release_year, 1421 38271, in_language, 31783 38271, release_year, 1421 30357, in_language, 31783 30357, release_year, 1421 6949, in_language, 31783 6949, release_year, 1421 38107, in_language, 31783 38107, release_year, 1421 24306, has_tags, 31783 24306, in_language, 31783 24306, release_year, 1421 38918, in_language, 31783 38918, release_year, 1421 2872, in_language, 31783 2872, release_year, 1421 30746, in_language, 31783 30746, release_year, 1421 19624, has_tags, 16883 19624, has_tags, 8352 19624, in_language, 16883 19624, written_by, 37158 30209, in_language, 31783 30209, release_year, 1421 17777, in_language, 31783 17777, release_year, 1421 Question: In what context are ERIC HEISSERER, NIGHT TRAIN TO LISBON, and SONDRE KROGTOFT LARSEN connected? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "ERIC HEISSERER", "NIGHT TRAIN TO LISBON", "SONDRE KROGTOFT LARSEN" ], "valid_edges": [ [ "A FIELD IN ENGLAND", "in_language", "ENGLISH" ], [ "A FIELD IN ENGLAND", "release_year", "2013" ], [ "ALAN PARTRIDGE", "in_language", "ENGLISH" ], [ "ALAN PARTRIDGE", "release_year", "2013" ], [ "BEAUTIFUL CREATURES", "release_year", "2013" ], [ "BEAUTIFUL CREATURES", "starred_actors", "JEREMY IRONS" ], [ "DETOUR", "in_language", "NORWEGIAN" ], [ "DETOUR", "starred_actors", "SONDRE KROGTOFT LARSEN" ], [ "GIRL ON A BICYCLE", "in_language", "ENGLISH" ], [ "GIRL ON A BICYCLE", "release_year", "2013" ], [ "GRAND PIANO", "in_language", "ENGLISH" ], [ "GRAND PIANO", "release_year", "2013" ], [ "HOURS", "directed_by", "ERIC HEISSERER" ], [ "HOURS", "release_year", "2013" ], [ "HOURS", "written_by", "ERIC HEISSERER" ], [ "JACK THE GIANT KILLER", "in_language", "ENGLISH" ], [ "JACK THE GIANT KILLER", "release_year", "2013" ], [ "JACK THE GIANT SLAYER", "in_language", "ENGLISH" ], [ "JACK THE GIANT SLAYER", "release_year", "2013" ], [ "LORD OF TEARS", "in_language", "ENGLISH" ], [ "LORD OF TEARS", "release_year", "2013" ], [ "NIGHT TRAIN TO LISBON", "has_tags", "JEREMY IRONS" ], [ "NIGHT TRAIN TO LISBON", "in_language", "ENGLISH" ], [ "NIGHT TRAIN TO LISBON", "release_year", "2013" ], [ "NIGHT TRAIN TO LISBON", "starred_actors", "JEREMY IRONS" ], [ "PARADISE", "in_language", "ENGLISH" ], [ "PARADISE", "release_year", "2013" ], [ "PARANOIA", "release_year", "2013" ], [ "REACHING FOR THE MOON", "in_language", "ENGLISH" ], [ "REACHING FOR THE MOON", "release_year", "2013" ], [ "SNOWPIERCER", "in_language", "ENGLISH" ], [ "SNOWPIERCER", "release_year", "2013" ], [ "STOKER", "in_language", "ENGLISH" ], [ "STOKER", "release_year", "2013" ], [ "SUNSHINE ON LEITH", "in_language", "ENGLISH" ], [ "SUNSHINE ON LEITH", "release_year", "2013" ], [ "THE EAST", "in_language", "ENGLISH" ], [ "THE EAST", "release_year", "2013" ], [ "THE ENGLISH TEACHER", "has_tags", "ENGLISH" ], [ "THE ENGLISH TEACHER", "in_language", "ENGLISH" ], [ "THE ENGLISH TEACHER", "release_year", "2013" ], [ "THE FAMILY", "in_language", "ENGLISH" ], [ "THE FAMILY", "release_year", "2013" ], [ "THE GREAT GATSBY", "in_language", "ENGLISH" ], [ "THE GREAT GATSBY", "release_year", "2013" ], [ "THE SECRET LIFE OF WALTER MITTY", "in_language", "ENGLISH" ], [ "THE SECRET LIFE OF WALTER MITTY", "release_year", "2013" ], [ "THE THING", "has_tags", "NORWEGIAN" ], [ "THE THING", "has_tags", "PARANOIA" ], [ "THE THING", "in_language", "NORWEGIAN" ], [ "THE THING", "written_by", "ERIC HEISSERER" ], [ "YEH JAWAANI HAI DEEWANI", "in_language", "ENGLISH" ], [ "YEH JAWAANI HAI DEEWANI", "release_year", "2013" ], [ "ZULU", "in_language", "ENGLISH" ], [ "ZULU", "release_year", "2013" ] ] }

metaqa

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 36279, 10 YEARS 29424, 2011 23250, 50/50 5158, A BAG OF HAMMERS 10158, A PRINCESS FOR CHRISTMAS 37154, ALAN JACOBS 26599, AMERICAN GUN 29881, AMERICANO 188, ANOTHER HAPPY DAY 23286, CARNAGE 28503, CLOUDBURST 23452, DARK HORSE 6375, DELICACY 14132, DESI BOYZ 36212, DRAMA 17854, GOING DOWN IN LA-LA LAND 13198, HOLY FLYING CIRCUS 21922, JANE EYRE 37830, JEFF, WHO LIVES AT HOME 15175, LE HAVRE 3800, LOSERS' CLUB 19802, LOVE 4234, MADEA'S BIG HAPPY FAMILY 35399, MICHAEL BRANDT 33300, NATURAL SELECTION 20537, NEWLYWEDS 10021, OUR IDIOT BROTHER 35664, RESTLESS 12301, SALMON FISHING IN THE YEMEN 23708, SUICIDE ROOM 18005, TAKE THIS WALTZ 26586, THAT'S WHAT I AM 39795, THE ARTIST 5838, THE CLOWN 11393, THE DESCENDANTS 32295, THE DILEMMA 3680, THE DOUBLE 6289, THE INTOUCHABLES 7816, THE THREE MUSKETEERS 13003, THE WELL-DIGGER'S DAUGHTER 5529, THIN ICE 8957, WE BOUGHT A ZOO 35511, WE HAVE A POPE 33483, WEEKEND 36565, WIN WIN 11924, YOUNG ADULT 16822, YOUR SISTER'S SISTER 28489, ZINDAGI NA MILEGI DOBARA src, edge_attr, dst 36279, has_genre, 36212 36279, release_year, 29424 23250, has_genre, 36212 23250, release_year, 29424 5158, has_genre, 36212 5158, release_year, 29424 10158, has_genre, 36212 10158, release_year, 29424 26599, directed_by, 37154 26599, has_genre, 36212 26599, written_by, 37154 29881, has_genre, 36212 29881, release_year, 29424 188, has_genre, 36212 188, release_year, 29424 23286, has_genre, 36212 23286, release_year, 29424 28503, has_genre, 36212 28503, release_year, 29424 23452, has_genre, 36212 23452, release_year, 29424 6375, has_genre, 36212 6375, release_year, 29424 14132, has_genre, 36212 14132, release_year, 29424 17854, has_genre, 36212 17854, release_year, 29424 13198, has_genre, 36212 13198, release_year, 29424 21922, has_genre, 36212 21922, release_year, 29424 37830, has_genre, 36212 37830, release_year, 29424 15175, has_genre, 36212 15175, release_year, 29424 3800, has_genre, 36212 3800, release_year, 29424 19802, has_genre, 36212 19802, release_year, 29424 4234, has_genre, 36212 4234, release_year, 29424 33300, has_genre, 36212 33300, release_year, 29424 20537, has_genre, 36212 20537, release_year, 29424 10021, has_genre, 36212 10021, release_year, 29424 35664, has_genre, 36212 35664, release_year, 29424 12301, has_genre, 36212 12301, release_year, 29424 23708, has_genre, 36212 23708, release_year, 29424 18005, has_genre, 36212 18005, release_year, 29424 26586, has_genre, 36212 26586, release_year, 29424 39795, has_genre, 36212 39795, has_tags, 36212 39795, release_year, 29424 5838, has_genre, 36212 5838, release_year, 29424 11393, has_genre, 36212 11393, has_tags, 36212 11393, release_year, 29424 32295, has_genre, 36212 32295, release_year, 29424 3680, directed_by, 35399 3680, release_year, 29424 3680, written_by, 35399 6289, has_genre, 36212 6289, release_year, 29424 7816, has_genre, 36212 7816, release_year, 29424 13003, has_genre, 36212 13003, release_year, 29424 5529, has_genre, 36212 5529, release_year, 29424 8957, has_genre, 36212 8957, release_year, 29424 35511, has_genre, 36212 35511, release_year, 29424 33483, has_genre, 36212 33483, release_year, 29424 36565, has_genre, 36212 36565, release_year, 29424 11924, has_genre, 36212 11924, has_tags, 36212 11924, release_year, 29424 16822, has_genre, 36212 16822, release_year, 29424 28489, has_genre, 36212 28489, release_year, 29424 Question: How are ALAN JACOBS, MICHAEL BRANDT, and SUICIDE ROOM related? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "ALAN JACOBS", "MICHAEL BRANDT", "SUICIDE ROOM" ], "valid_edges": [ [ "10 YEARS", "has_genre", "DRAMA" ], [ "10 YEARS", "release_year", "2011" ], [ "50/50", "has_genre", "DRAMA" ], [ "50/50", "release_year", "2011" ], [ "A BAG OF HAMMERS", "has_genre", "DRAMA" ], [ "A BAG OF HAMMERS", "release_year", "2011" ], [ "A PRINCESS FOR CHRISTMAS", "has_genre", "DRAMA" ], [ "A PRINCESS FOR CHRISTMAS", "release_year", "2011" ], [ "AMERICAN GUN", "directed_by", "ALAN JACOBS" ], [ "AMERICAN GUN", "has_genre", "DRAMA" ], [ "AMERICAN GUN", "written_by", "ALAN JACOBS" ], [ "AMERICANO", "has_genre", "DRAMA" ], [ "AMERICANO", "release_year", "2011" ], [ "ANOTHER HAPPY DAY", "has_genre", "DRAMA" ], [ "ANOTHER HAPPY DAY", "release_year", "2011" ], [ "CARNAGE", "has_genre", "DRAMA" ], [ "CARNAGE", "release_year", "2011" ], [ "CLOUDBURST", "has_genre", "DRAMA" ], [ "CLOUDBURST", "release_year", "2011" ], [ "DARK HORSE", "has_genre", "DRAMA" ], [ "DARK HORSE", "release_year", "2011" ], [ "DELICACY", "has_genre", "DRAMA" ], [ "DELICACY", "release_year", "2011" ], [ "DESI BOYZ", "has_genre", "DRAMA" ], [ "DESI BOYZ", "release_year", "2011" ], [ "GOING DOWN IN LA-LA LAND", "has_genre", "DRAMA" ], [ "GOING DOWN IN LA-LA LAND", "release_year", "2011" ], [ "HOLY FLYING CIRCUS", "has_genre", "DRAMA" ], [ "HOLY FLYING CIRCUS", "release_year", "2011" ], [ "JANE EYRE", "has_genre", "DRAMA" ], [ "JANE EYRE", "release_year", "2011" ], [ "JEFF, WHO LIVES AT HOME", "has_genre", "DRAMA" ], [ "JEFF, WHO LIVES AT HOME", "release_year", "2011" ], [ "LE HAVRE", "has_genre", "DRAMA" ], [ "LE HAVRE", "release_year", "2011" ], [ "LOSERS' CLUB", "has_genre", "DRAMA" ], [ "LOSERS' CLUB", "release_year", "2011" ], [ "LOVE", "has_genre", "DRAMA" ], [ "LOVE", "release_year", "2011" ], [ "MADEA'S BIG HAPPY FAMILY", "has_genre", "DRAMA" ], [ "MADEA'S BIG HAPPY FAMILY", "release_year", "2011" ], [ "NATURAL SELECTION", "has_genre", "DRAMA" ], [ "NATURAL SELECTION", "release_year", "2011" ], [ "NEWLYWEDS", "has_genre", "DRAMA" ], [ "NEWLYWEDS", "release_year", "2011" ], [ "OUR IDIOT BROTHER", "has_genre", "DRAMA" ], [ "OUR IDIOT BROTHER", "release_year", "2011" ], [ "RESTLESS", "has_genre", "DRAMA" ], [ "RESTLESS", "release_year", "2011" ], [ "SALMON FISHING IN THE YEMEN", "has_genre", "DRAMA" ], [ "SALMON FISHING IN THE YEMEN", "release_year", "2011" ], [ "SUICIDE ROOM", "has_genre", "DRAMA" ], [ "SUICIDE ROOM", "release_year", "2011" ], [ "TAKE THIS WALTZ", "has_genre", "DRAMA" ], [ "TAKE THIS WALTZ", "release_year", "2011" ], [ "THAT'S WHAT I AM", "has_genre", "DRAMA" ], [ "THAT'S WHAT I AM", "release_year", "2011" ], [ "THE ARTIST", "has_genre", "DRAMA" ], [ "THE ARTIST", "has_tags", "DRAMA" ], [ "THE ARTIST", "release_year", "2011" ], [ "THE CLOWN", "has_genre", "DRAMA" ], [ "THE CLOWN", "release_year", "2011" ], [ "THE DESCENDANTS", "has_genre", "DRAMA" ], [ "THE DESCENDANTS", "has_tags", "DRAMA" ], [ "THE DESCENDANTS", "release_year", "2011" ], [ "THE DILEMMA", "has_genre", "DRAMA" ], [ "THE DILEMMA", "release_year", "2011" ], [ "THE DOUBLE", "directed_by", "MICHAEL BRANDT" ], [ "THE DOUBLE", "release_year", "2011" ], [ "THE DOUBLE", "written_by", "MICHAEL BRANDT" ], [ "THE INTOUCHABLES", "has_genre", "DRAMA" ], [ "THE INTOUCHABLES", "release_year", "2011" ], [ "THE THREE MUSKETEERS", "has_genre", "DRAMA" ], [ "THE THREE MUSKETEERS", "release_year", "2011" ], [ "THE WELL-DIGGER'S DAUGHTER", "has_genre", "DRAMA" ], [ "THE WELL-DIGGER'S DAUGHTER", "release_year", "2011" ], [ "THIN ICE", "has_genre", "DRAMA" ], [ "THIN ICE", "release_year", "2011" ], [ "WE BOUGHT A ZOO", "has_genre", "DRAMA" ], [ "WE BOUGHT A ZOO", "release_year", "2011" ], [ "WE HAVE A POPE", "has_genre", "DRAMA" ], [ "WE HAVE A POPE", "release_year", "2011" ], [ "WEEKEND", "has_genre", "DRAMA" ], [ "WEEKEND", "release_year", "2011" ], [ "WIN WIN", "has_genre", "DRAMA" ], [ "WIN WIN", "release_year", "2011" ], [ "YOUNG ADULT", "has_genre", "DRAMA" ], [ "YOUNG ADULT", "has_tags", "DRAMA" ], [ "YOUNG ADULT", "release_year", "2011" ], [ "YOUR SISTER'S SISTER", "has_genre", "DRAMA" ], [ "YOUR SISTER'S SISTER", "release_year", "2011" ], [ "ZINDAGI NA MILEGI DOBARA", "has_genre", "DRAMA" ], [ "ZINDAGI NA MILEGI DOBARA", "release_year", "2011" ] ] }

metaqa

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 24525, 1984 4763, ADVENTURE 524, CHARLIE'S ANGELS 36066, FANTASY 36940, LABYRINTH 18795, MARY CROSBY 21057, QUEST 19740, RYAN ROWE 25296, THE ICE PIRATES 24404, THE NEVERENDING STORY src, edge_attr, dst 524, has_genre, 4763 524, written_by, 19740 36940, has_genre, 4763 36940, has_genre, 36066 36940, has_tags, 4763 36940, has_tags, 36066 36940, has_tags, 21057 25296, release_year, 24525 25296, starred_actors, 18795 24404, has_tags, 36066 24404, has_tags, 21057 24404, release_year, 24525 Question: In what context are MARY CROSBY, QUEST, and RYAN ROWE connected? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "MARY CROSBY", "QUEST", "RYAN ROWE" ], "valid_edges": [ [ "CHARLIE'S ANGELS", "has_genre", "ADVENTURE" ], [ "CHARLIE'S ANGELS", "written_by", "RYAN ROWE" ], [ "LABYRINTH", "has_genre", "ADVENTURE" ], [ "LABYRINTH", "has_genre", "FANTASY" ], [ "LABYRINTH", "has_tags", "ADVENTURE" ], [ "LABYRINTH", "has_tags", "FANTASY" ], [ "LABYRINTH", "has_tags", "QUEST" ], [ "THE ICE PIRATES", "release_year", "1984" ], [ "THE ICE PIRATES", "starred_actors", "MARY CROSBY" ], [ "THE NEVERENDING STORY", "has_tags", "FANTASY" ], [ "THE NEVERENDING STORY", "has_tags", "QUEST" ], [ "THE NEVERENDING STORY", "release_year", "1984" ] ] }

metaqa

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 2493, 13 35798, 2010 24480, A NIGHTMARE ON ELM STREET 2201, ANTICHRIST 26267, CINEMATOGRAPHY 27843, CLASH OF THE TITANS 37059, DEATH AT A FUNERAL 13272, DON'T BE AFRAID OF THE DARK 15439, I SPIT ON YOUR GRAVE 29987, LET ME IN 37521, OWEN DAVIS 23228, PUTTY HILL 28729, REMAKE 25463, THE CRAZIES 2599, THE EXPERIMENT 2872, THE GREAT GATSBY 13329, THE KARATE KID 1208, THE NEXT THREE DAYS 17910, THE OMEN src, edge_attr, dst 2493, has_tags, 28729 2493, release_year, 35798 24480, has_tags, 28729 24480, release_year, 35798 2201, has_tags, 26267 27843, has_tags, 28729 27843, release_year, 35798 37059, has_tags, 28729 37059, release_year, 35798 13272, has_tags, 28729 13272, release_year, 35798 15439, has_tags, 28729 15439, release_year, 35798 29987, has_tags, 28729 29987, release_year, 35798 23228, release_year, 35798 25463, has_tags, 28729 25463, release_year, 35798 2599, has_tags, 28729 2599, release_year, 35798 2872, has_tags, 26267 2872, written_by, 37521 13329, has_tags, 28729 13329, release_year, 35798 1208, has_tags, 28729 1208, release_year, 35798 17910, has_tags, 2201 17910, has_tags, 28729 Question: In what context are OWEN DAVIS, PUTTY HILL, and THE OMEN connected? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "OWEN DAVIS", "PUTTY HILL", "THE OMEN" ], "valid_edges": [ [ "13", "has_tags", "REMAKE" ], [ "13", "release_year", "2010" ], [ "A NIGHTMARE ON ELM STREET", "has_tags", "REMAKE" ], [ "A NIGHTMARE ON ELM STREET", "release_year", "2010" ], [ "ANTICHRIST", "has_tags", "CINEMATOGRAPHY" ], [ "CLASH OF THE TITANS", "has_tags", "REMAKE" ], [ "CLASH OF THE TITANS", "release_year", "2010" ], [ "DEATH AT A FUNERAL", "has_tags", "REMAKE" ], [ "DEATH AT A FUNERAL", "release_year", "2010" ], [ "DON'T BE AFRAID OF THE DARK", "has_tags", "REMAKE" ], [ "DON'T BE AFRAID OF THE DARK", "release_year", "2010" ], [ "I SPIT ON YOUR GRAVE", "has_tags", "REMAKE" ], [ "I SPIT ON YOUR GRAVE", "release_year", "2010" ], [ "LET ME IN", "has_tags", "REMAKE" ], [ "LET ME IN", "release_year", "2010" ], [ "PUTTY HILL", "release_year", "2010" ], [ "THE CRAZIES", "has_tags", "REMAKE" ], [ "THE CRAZIES", "release_year", "2010" ], [ "THE EXPERIMENT", "has_tags", "REMAKE" ], [ "THE EXPERIMENT", "release_year", "2010" ], [ "THE GREAT GATSBY", "has_tags", "CINEMATOGRAPHY" ], [ "THE GREAT GATSBY", "written_by", "OWEN DAVIS" ], [ "THE KARATE KID", "has_tags", "REMAKE" ], [ "THE KARATE KID", "release_year", "2010" ], [ "THE NEXT THREE DAYS", "has_tags", "REMAKE" ], [ "THE NEXT THREE DAYS", "release_year", "2010" ], [ "THE OMEN", "has_tags", "ANTICHRIST" ], [ "THE OMEN", "has_tags", "REMAKE" ] ] }

metaqa

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 658, 2012 30665, 7 DAYS IN HAVANA 21289, ENTITY 6221, FRIENDS WITH BENEFITS 11565, GOOD 5722, HUMAN RESOURCES 2722, INSIDE LLEWYN DAVIS 17585, JOHN GOODMAN 14768, JUSTIN TIMBERLAKE 8795, LAURENT CANTET 17451, TROUBLE WITH THE CURVE 16982, WOODY HARRELSON src, edge_attr, dst 658, has_tags, 16982 30665, directed_by, 8795 30665, release_year, 658 30665, written_by, 8795 21289, release_year, 658 6221, has_tags, 14768 6221, has_tags, 16982 6221, starred_actors, 14768 5722, directed_by, 8795 5722, has_tags, 8795 5722, written_by, 8795 2722, has_imdb_rating, 11565 2722, has_tags, 17585 2722, has_tags, 14768 2722, starred_actors, 14768 17451, has_imdb_rating, 11565 17451, has_tags, 17585 17451, has_tags, 14768 17451, release_year, 658 Question: How are ENTITY, HUMAN RESOURCES, and JUSTIN TIMBERLAKE related? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "ENTITY", "HUMAN RESOURCES", "JUSTIN TIMBERLAKE" ], "valid_edges": [ [ "2012", "has_tags", "WOODY HARRELSON" ], [ "7 DAYS IN HAVANA", "directed_by", "LAURENT CANTET" ], [ "7 DAYS IN HAVANA", "release_year", "2012" ], [ "7 DAYS IN HAVANA", "written_by", "LAURENT CANTET" ], [ "ENTITY", "release_year", "2012" ], [ "FRIENDS WITH BENEFITS", "has_tags", "JUSTIN TIMBERLAKE" ], [ "FRIENDS WITH BENEFITS", "has_tags", "WOODY HARRELSON" ], [ "FRIENDS WITH BENEFITS", "starred_actors", "JUSTIN TIMBERLAKE" ], [ "HUMAN RESOURCES", "directed_by", "LAURENT CANTET" ], [ "HUMAN RESOURCES", "has_tags", "LAURENT CANTET" ], [ "HUMAN RESOURCES", "written_by", "LAURENT CANTET" ], [ "INSIDE LLEWYN DAVIS", "has_imdb_rating", "GOOD" ], [ "INSIDE LLEWYN DAVIS", "has_tags", "JOHN GOODMAN" ], [ "INSIDE LLEWYN DAVIS", "has_tags", "JUSTIN TIMBERLAKE" ], [ "INSIDE LLEWYN DAVIS", "starred_actors", "JUSTIN TIMBERLAKE" ], [ "TROUBLE WITH THE CURVE", "has_imdb_rating", "GOOD" ], [ "TROUBLE WITH THE CURVE", "has_tags", "JOHN GOODMAN" ], [ "TROUBLE WITH THE CURVE", "has_tags", "JUSTIN TIMBERLAKE" ], [ "TROUBLE WITH THE CURVE", "release_year", "2012" ] ] }

metaqa

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 8779, 1945 35798, 2010 29638, ALICE IN WONDERLAND 32479, BEWITCHED 13225, BLITHE SPIRIT 39570, BUNRAKU 27843, CLASH OF THE TITANS 13272, DON'T BE AFRAID OF THE DARK 36066, FANTASY 12817, FRANK BORZAGE 5387, HEREAFTER 13549, HOW TO TRAIN YOUR DRAGON 26991, JONAH HEX 32481, MANNEQUIN 36999, MAUREEN O'HARA 32823, MIRACLE ON 34TH STREET 6952, MY JOY 10344, THE EXTRAORDINARY ADVENTURES OF ADÈLE BLANC-SEC 38073, THE LAST AIRBENDER 8168, THE SPANISH MAIN 15218, THE SWORD AND THE SORCERER 26036, THE TEMPEST 37516, THE WARRIOR'S WAY 14716, TROLLHUNTER 15472, YOLANDA AND THE THIEF src, edge_attr, dst 29638, has_genre, 36066 29638, has_tags, 36066 29638, release_year, 35798 32479, has_genre, 36066 32479, release_year, 8779 13225, has_genre, 36066 13225, release_year, 8779 39570, has_tags, 36066 39570, release_year, 35798 27843, has_genre, 36066 27843, has_tags, 36066 27843, release_year, 35798 13272, has_genre, 36066 13272, release_year, 35798 5387, has_genre, 36066 5387, release_year, 35798 13549, has_tags, 36066 13549, release_year, 35798 26991, has_genre, 36066 26991, release_year, 35798 32481, directed_by, 12817 32481, has_genre, 36066 32823, has_genre, 36066 32823, has_tags, 36999 32823, starred_actors, 36999 6952, release_year, 35798 10344, has_genre, 36066 10344, release_year, 35798 38073, has_tags, 36066 38073, release_year, 35798 8168, directed_by, 12817 8168, release_year, 8779 8168, starred_actors, 36999 15218, has_genre, 36066 26036, has_genre, 36066 26036, release_year, 35798 37516, has_genre, 36066 37516, release_year, 35798 14716, has_genre, 36066 14716, has_tags, 36066 14716, release_year, 35798 15472, has_genre, 36066 15472, release_year, 8779 Question: For what reason are MY JOY, THE SPANISH MAIN, and THE SWORD AND THE SORCERER associated? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "MY JOY", "THE SPANISH MAIN", "THE SWORD AND THE SORCERER" ], "valid_edges": [ [ "ALICE IN WONDERLAND", "has_genre", "FANTASY" ], [ "ALICE IN WONDERLAND", "has_tags", "FANTASY" ], [ "ALICE IN WONDERLAND", "release_year", "2010" ], [ "BEWITCHED", "has_genre", "FANTASY" ], [ "BEWITCHED", "release_year", "1945" ], [ "BLITHE SPIRIT", "has_genre", "FANTASY" ], [ "BLITHE SPIRIT", "release_year", "1945" ], [ "BUNRAKU", "has_tags", "FANTASY" ], [ "BUNRAKU", "release_year", "2010" ], [ "CLASH OF THE TITANS", "has_genre", "FANTASY" ], [ "CLASH OF THE TITANS", "has_tags", "FANTASY" ], [ "CLASH OF THE TITANS", "release_year", "2010" ], [ "DON'T BE AFRAID OF THE DARK", "has_genre", "FANTASY" ], [ "DON'T BE AFRAID OF THE DARK", "release_year", "2010" ], [ "HEREAFTER", "has_genre", "FANTASY" ], [ "HEREAFTER", "release_year", "2010" ], [ "HOW TO TRAIN YOUR DRAGON", "has_tags", "FANTASY" ], [ "HOW TO TRAIN YOUR DRAGON", "release_year", "2010" ], [ "JONAH HEX", "has_genre", "FANTASY" ], [ "JONAH HEX", "release_year", "2010" ], [ "MANNEQUIN", "directed_by", "FRANK BORZAGE" ], [ "MANNEQUIN", "has_genre", "FANTASY" ], [ "MIRACLE ON 34TH STREET", "has_genre", "FANTASY" ], [ "MIRACLE ON 34TH STREET", "has_tags", "MAUREEN O'HARA" ], [ "MIRACLE ON 34TH STREET", "starred_actors", "MAUREEN O'HARA" ], [ "MY JOY", "release_year", "2010" ], [ "THE EXTRAORDINARY ADVENTURES OF ADÈLE BLANC-SEC", "has_genre", "FANTASY" ], [ "THE EXTRAORDINARY ADVENTURES OF ADÈLE BLANC-SEC", "release_year", "2010" ], [ "THE LAST AIRBENDER", "has_tags", "FANTASY" ], [ "THE LAST AIRBENDER", "release_year", "2010" ], [ "THE SPANISH MAIN", "directed_by", "FRANK BORZAGE" ], [ "THE SPANISH MAIN", "release_year", "1945" ], [ "THE SPANISH MAIN", "starred_actors", "MAUREEN O'HARA" ], [ "THE SWORD AND THE SORCERER", "has_genre", "FANTASY" ], [ "THE TEMPEST", "has_genre", "FANTASY" ], [ "THE TEMPEST", "release_year", "2010" ], [ "THE WARRIOR'S WAY", "has_genre", "FANTASY" ], [ "THE WARRIOR'S WAY", "release_year", "2010" ], [ "TROLLHUNTER", "has_genre", "FANTASY" ], [ "TROLLHUNTER", "has_tags", "FANTASY" ], [ "TROLLHUNTER", "release_year", "2010" ], [ "YOLANDA AND THE THIEF", "has_genre", "FANTASY" ], [ "YOLANDA AND THE THIEF", "release_year", "1945" ] ] }

metaqa

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 9177, 1956 29424, 2011 37908, AFRICAN CATS 39613, BEAUTY DAY 26510, BORN TO BE WILD 29342, BULLY 17035, DEBTOCRACY 12841, DOCUMENTARY 1519, DREAMS OF A LIFE 39366, HAPPY 28468, MAGIC TRIP 7839, MISS REPRESENTATION 23408, OF TIME AND THE CITY 29488, ONE DAY 35524, ONE LIFE 2108, PEARL JAM TWENTY 29086, PINA 10984, REVENGE OF THE ELECTRIC CAR 12599, SURVIVING PROGRESS 2588, THE AMBASSADOR 11259, THE BLACK POWER MIXTAPE 1967-1975 20837, THE CAPTAINS 20969, THE FLAT 30700, THE INTERRUPTERS 38461, THE LAST LIONS 27444, THE LAST MOUNTAIN 39587, THE OTHER F WORD 30593, THE VIOLENT YEARS 29052, THESE AMAZING SHADOWS 36765, THIS IS NOT A FILM 8476, TOUTE LA MÉMOIRE DU MONDE 16214, UNLAWFUL KILLING 4896, WHORES' GLORY 9056, YOU'VE BEEN TRUMPED src, edge_attr, dst 37908, has_genre, 12841 37908, release_year, 29424 39613, has_genre, 12841 39613, release_year, 29424 26510, has_genre, 12841 26510, release_year, 29424 29342, has_genre, 12841 29342, release_year, 29424 17035, has_genre, 12841 17035, release_year, 29424 1519, has_genre, 12841 1519, release_year, 29424 39366, has_genre, 12841 39366, has_tags, 12841 39366, release_year, 29424 28468, has_genre, 12841 28468, release_year, 29424 7839, has_genre, 12841 7839, release_year, 29424 23408, has_genre, 12841 29488, release_year, 29424 35524, has_genre, 12841 35524, release_year, 29424 2108, has_genre, 12841 2108, release_year, 29424 29086, has_genre, 12841 29086, has_tags, 12841 29086, release_year, 29424 10984, has_genre, 12841 10984, release_year, 29424 12599, has_genre, 12841 12599, has_tags, 12841 12599, release_year, 29424 2588, has_genre, 12841 2588, release_year, 29424 11259, has_genre, 12841 11259, release_year, 29424 20837, has_genre, 12841 20837, release_year, 29424 20969, has_genre, 12841 20969, release_year, 29424 30700, has_genre, 12841 30700, release_year, 29424 38461, has_genre, 12841 38461, release_year, 29424 27444, has_genre, 12841 27444, release_year, 29424 39587, has_genre, 12841 39587, release_year, 29424 30593, release_year, 9177 29052, has_genre, 12841 29052, release_year, 29424 36765, has_genre, 12841 36765, release_year, 29424 8476, has_genre, 12841 8476, release_year, 9177 16214, has_genre, 12841 16214, release_year, 29424 4896, has_genre, 12841 4896, has_tags, 12841 4896, release_year, 29424 9056, has_genre, 12841 9056, release_year, 29424 Question: For what reason are OF TIME AND THE CITY, ONE DAY, and THE VIOLENT YEARS associated? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "OF TIME AND THE CITY", "ONE DAY", "THE VIOLENT YEARS" ], "valid_edges": [ [ "AFRICAN CATS", "has_genre", "DOCUMENTARY" ], [ "AFRICAN CATS", "release_year", "2011" ], [ "BEAUTY DAY", "has_genre", "DOCUMENTARY" ], [ "BEAUTY DAY", "release_year", "2011" ], [ "BORN TO BE WILD", "has_genre", "DOCUMENTARY" ], [ "BORN TO BE WILD", "release_year", "2011" ], [ "BULLY", "has_genre", "DOCUMENTARY" ], [ "BULLY", "release_year", "2011" ], [ "DEBTOCRACY", "has_genre", "DOCUMENTARY" ], [ "DEBTOCRACY", "release_year", "2011" ], [ "DREAMS OF A LIFE", "has_genre", "DOCUMENTARY" ], [ "DREAMS OF A LIFE", "release_year", "2011" ], [ "HAPPY", "has_genre", "DOCUMENTARY" ], [ "HAPPY", "has_tags", "DOCUMENTARY" ], [ "HAPPY", "release_year", "2011" ], [ "MAGIC TRIP", "has_genre", "DOCUMENTARY" ], [ "MAGIC TRIP", "release_year", "2011" ], [ "MISS REPRESENTATION", "has_genre", "DOCUMENTARY" ], [ "MISS REPRESENTATION", "release_year", "2011" ], [ "OF TIME AND THE CITY", "has_genre", "DOCUMENTARY" ], [ "ONE DAY", "release_year", "2011" ], [ "ONE LIFE", "has_genre", "DOCUMENTARY" ], [ "ONE LIFE", "release_year", "2011" ], [ "PEARL JAM TWENTY", "has_genre", "DOCUMENTARY" ], [ "PEARL JAM TWENTY", "release_year", "2011" ], [ "PINA", "has_genre", "DOCUMENTARY" ], [ "PINA", "has_tags", "DOCUMENTARY" ], [ "PINA", "release_year", "2011" ], [ "REVENGE OF THE ELECTRIC CAR", "has_genre", "DOCUMENTARY" ], [ "REVENGE OF THE ELECTRIC CAR", "release_year", "2011" ], [ "SURVIVING PROGRESS", "has_genre", "DOCUMENTARY" ], [ "SURVIVING PROGRESS", "has_tags", "DOCUMENTARY" ], [ "SURVIVING PROGRESS", "release_year", "2011" ], [ "THE AMBASSADOR", "has_genre", "DOCUMENTARY" ], [ "THE AMBASSADOR", "release_year", "2011" ], [ "THE BLACK POWER MIXTAPE 1967-1975", "has_genre", "DOCUMENTARY" ], [ "THE BLACK POWER MIXTAPE 1967-1975", "release_year", "2011" ], [ "THE CAPTAINS", "has_genre", "DOCUMENTARY" ], [ "THE CAPTAINS", "release_year", "2011" ], [ "THE FLAT", "has_genre", "DOCUMENTARY" ], [ "THE FLAT", "release_year", "2011" ], [ "THE INTERRUPTERS", "has_genre", "DOCUMENTARY" ], [ "THE INTERRUPTERS", "release_year", "2011" ], [ "THE LAST LIONS", "has_genre", "DOCUMENTARY" ], [ "THE LAST LIONS", "release_year", "2011" ], [ "THE LAST MOUNTAIN", "has_genre", "DOCUMENTARY" ], [ "THE LAST MOUNTAIN", "release_year", "2011" ], [ "THE OTHER F WORD", "has_genre", "DOCUMENTARY" ], [ "THE OTHER F WORD", "release_year", "2011" ], [ "THE VIOLENT YEARS", "release_year", "1956" ], [ "THESE AMAZING SHADOWS", "has_genre", "DOCUMENTARY" ], [ "THESE AMAZING SHADOWS", "release_year", "2011" ], [ "THIS IS NOT A FILM", "has_genre", "DOCUMENTARY" ], [ "THIS IS NOT A FILM", "release_year", "2011" ], [ "TOUTE LA MÉMOIRE DU MONDE", "has_genre", "DOCUMENTARY" ], [ "TOUTE LA MÉMOIRE DU MONDE", "release_year", "1956" ], [ "UNLAWFUL KILLING", "has_genre", "DOCUMENTARY" ], [ "UNLAWFUL KILLING", "release_year", "2011" ], [ "WHORES' GLORY", "has_genre", "DOCUMENTARY" ], [ "WHORES' GLORY", "has_tags", "DOCUMENTARY" ], [ "WHORES' GLORY", "release_year", "2011" ], [ "YOU'VE BEEN TRUMPED", "has_genre", "DOCUMENTARY" ], [ "YOU'VE BEEN TRUMPED", "release_year", "2011" ] ] }

metaqa

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 35935, 2002 4310, 24 HOUR PARTY PEOPLE 9408, 40 DAYS AND 40 NIGHTS 36647, 8 WOMEN 11957, 9 DEAD GAY GUYS 6008, ABOUT A BOY 37599, ABOUT SCHMIDT 17111, ALI G INDAHOUSE 22569, ALL ABOUT THE BENJAMINS 16113, ANALYZE THAT 35314, AUSTIN POWERS IN GOLDMEMBER 29535, AVENGING ANGELO 23899, BAD COMPANY 36819, BARBERSHOP 19159, BEER FOR MY HORSES 15433, BEND IT LIKE BECKHAM 39619, BIG FAT LIAR 8732, BIG TROUBLE 27128, BOAT TRIP 9565, BOYS AND GIRLS 32620, BUBBA HO-TEP 14572, BUYING THE COW 27929, CABIN FEVER 23286, CARNAGE 20073, CHERISH 10349, CHICAGO 32644, CHINESE ODYSSEY 2002 30463, COMEDY 21391, CRACKERJACK 30019, CROSSROADS 21730, DAY OF THE WACKO 14292, DEAD IN THE WATER 19179, DEATH TO SMOOCHY 21079, DIRTY DEEDS 25651, DUMMY 26815, EIGHT CRAZY NIGHTS 38543, EIGHT LEGGED FREAKS 27539, FRANK MCKLUSKY, C.I. 29241, FRIDAY AFTER NEXT 10990, HEARTLANDS 3829, HERO 15629, HOME ALONE 4 22069, I SPY 27919, I'M WITH LUCY 16371, ICE AGE 17197, IGBY GOES DOWN 33001, JUST A KISS 2204, JUWANNA MANN 32010, KISS THE BRIDE 12137, LIFE OR SOMETHING LIKE IT 28832, LIFE WITHOUT DICK 16155, LOVE LIZA 9812, MAID IN MANHATTAN 4270, MEN WITH BROOMS 39368, MICHAEL SALOMON 36083, MIRANDA 20803, MR. DEEDS 22064, MY BIG FAT GREEK WEDDING 4887, MY LEFT EYE SEES GHOSTS 35262, MY MOTHER LIKES WOMEN 35794, NOVO 1493, NOW YOU KNOW 2721, OCCIDENT 4582, ONCE UPON A TIME IN THE MIDLANDS 37178, ORANGE COUNTY 27117, PASSIONADA 9976, PIPE DREAM 3688, PUMPKIN 34602, PUNCH-DRUNK LOVE 21890, R.S.V.P. 25769, ROGER DODGER 12987, SCOOBY-DOO 19244, SERVING SARA 6603, SEX IS COMEDY 26261, SHOWTIME 15043, SLACKERS 25151, SNOW DOGS 24961, SORORITY BOYS 35843, SPUN 5170, STEALING HARVARD 15100, SUPER SUCKER 9276, SWEET HOME ALABAMA 26790, SWEPT AWAY 36316, THE ADVENTURES OF PLUTO NASH 2316, THE ANARCHIST COOKBOOK 304, THE BANGER SISTERS 11696, THE CUCKOO 3324, THE DANGEROUS LIVES OF ALTAR BOYS 914, THE GOOD GIRL 26531, THE GURU 24302, THE HOT CHICK 13534, THE IMPORTANCE OF BEING EARNEST 2147, THE MAN WITHOUT A PAST 6908, THE MASTER OF DISGUISE 295, THE NEW GUY 1192, THE ONE AND ONLY 31401, THE RULES OF ATTRACTION 7052, THE SWEETEST THING 34172, THE TUXEDO 10720, TRIGGERMEN 9612, TWO WEEKS NOTICE 13214, UNCONDITIONAL LOVE 16991, UNDERCOVER BROTHER 21576, WAKING UP IN RENO 37568, WELCOME TO COLLINWOOD 39802, WHEN IN ROME src, edge_attr, dst 4310, has_genre, 30463 4310, release_year, 35935 9408, has_genre, 30463 9408, has_tags, 30463 9408, release_year, 35935 36647, has_genre, 30463 36647, release_year, 35935 11957, has_genre, 30463 11957, release_year, 35935 6008, has_genre, 30463 6008, has_tags, 30463 6008, release_year, 35935 37599, has_genre, 30463 37599, has_tags, 30463 37599, release_year, 35935 17111, has_genre, 30463 17111, release_year, 35935 22569, has_genre, 30463 22569, has_tags, 30463 22569, release_year, 35935 16113, has_genre, 30463 16113, has_tags, 30463 16113, release_year, 35935 35314, has_genre, 30463 35314, has_tags, 30463 35314, release_year, 35935 29535, has_genre, 30463 29535, release_year, 35935 23899, has_genre, 30463 23899, release_year, 35935 36819, has_genre, 30463 36819, release_year, 35935 19159, directed_by, 39368 19159, has_genre, 30463 15433, has_genre, 30463 15433, release_year, 35935 39619, has_genre, 30463 39619, release_year, 35935 8732, has_genre, 30463 8732, release_year, 35935 27128, has_genre, 30463 27128, release_year, 35935 9565, has_genre, 30463 32620, has_genre, 30463 32620, has_tags, 30463 32620, release_year, 35935 14572, has_genre, 30463 14572, release_year, 35935 27929, has_genre, 30463 27929, release_year, 35935 23286, has_genre, 30463 23286, release_year, 35935 20073, has_genre, 30463 20073, release_year, 35935 10349, has_genre, 30463 10349, release_year, 35935 32644, has_genre, 30463 32644, release_year, 35935 21391, has_genre, 30463 21391, release_year, 35935 30019, has_genre, 30463 30019, release_year, 35935 21730, has_genre, 30463 21730, release_year, 35935 14292, release_year, 35935 19179, has_genre, 30463 19179, release_year, 35935 21079, has_genre, 30463 21079, has_tags, 30463 21079, release_year, 35935 25651, has_genre, 30463 25651, release_year, 35935 26815, has_genre, 30463 26815, release_year, 35935 38543, has_genre, 30463 38543, release_year, 35935 27539, has_genre, 30463 27539, release_year, 35935 29241, has_genre, 30463 29241, release_year, 35935 10990, has_genre, 30463 10990, release_year, 35935 3829, has_genre, 30463 3829, release_year, 35935 15629, has_genre, 30463 15629, release_year, 35935 22069, has_genre, 30463 22069, has_tags, 30463 22069, release_year, 35935 27919, has_genre, 30463 27919, release_year, 35935 16371, has_genre, 30463 16371, has_tags, 30463 16371, release_year, 35935 17197, has_genre, 30463 17197, release_year, 35935 33001, has_genre, 30463 33001, release_year, 35935 2204, has_genre, 30463 2204, release_year, 35935 32010, has_genre, 30463 32010, release_year, 35935 12137, has_genre, 30463 12137, release_year, 35935 28832, has_genre, 30463 28832, release_year, 35935 16155, has_genre, 30463 16155, release_year, 35935 9812, has_genre, 30463 9812, release_year, 35935 4270, has_genre, 30463 4270, release_year, 35935 36083, has_genre, 30463 36083, release_year, 35935 20803, has_genre, 30463 20803, release_year, 35935 22064, has_genre, 30463 22064, has_tags, 30463 22064, release_year, 35935 4887, has_genre, 30463 4887, release_year, 35935 35262, has_genre, 30463 35262, release_year, 35935 35794, has_genre, 30463 35794, release_year, 35935 1493, has_genre, 30463 1493, release_year, 35935 2721, has_genre, 30463 2721, release_year, 35935 4582, has_genre, 30463 4582, release_year, 35935 37178, has_genre, 30463 37178, release_year, 35935 27117, has_genre, 30463 27117, release_year, 35935 9976, has_genre, 30463 9976, release_year, 35935 3688, has_genre, 30463 3688, release_year, 35935 34602, has_genre, 30463 34602, has_tags, 30463 34602, release_year, 35935 21890, has_genre, 30463 21890, release_year, 35935 25769, has_genre, 30463 25769, release_year, 35935 12987, has_genre, 30463 12987, release_year, 35935 19244, has_genre, 30463 19244, release_year, 35935 6603, has_genre, 30463 6603, release_year, 35935 26261, has_genre, 30463 26261, release_year, 35935 15043, has_genre, 30463 15043, release_year, 35935 25151, has_genre, 30463 25151, release_year, 35935 24961, has_genre, 30463 24961, release_year, 35935 35843, has_genre, 30463 35843, release_year, 35935 5170, has_genre, 30463 5170, release_year, 35935 15100, has_genre, 30463 15100, release_year, 35935 9276, has_genre, 30463 9276, release_year, 35935 26790, has_genre, 30463 26790, release_year, 35935 36316, has_genre, 30463 36316, release_year, 35935 2316, has_genre, 30463 2316, release_year, 35935 304, has_genre, 30463 304, release_year, 35935 11696, has_genre, 30463 11696, release_year, 35935 3324, has_genre, 30463 3324, release_year, 35935 914, has_genre, 30463 914, release_year, 35935 26531, has_genre, 30463 26531, release_year, 35935 24302, has_genre, 30463 24302, has_tags, 30463 24302, release_year, 35935 13534, has_genre, 30463 13534, release_year, 35935 2147, has_genre, 30463 2147, release_year, 35935 6908, has_genre, 30463 6908, release_year, 35935 295, has_genre, 30463 295, release_year, 35935 1192, has_genre, 30463 1192, release_year, 35935 31401, has_genre, 30463 31401, release_year, 35935 7052, has_genre, 30463 7052, has_tags, 30463 7052, release_year, 35935 34172, has_genre, 30463 34172, has_tags, 30463 34172, release_year, 35935 10720, has_genre, 30463 10720, release_year, 35935 9612, has_genre, 30463 9612, release_year, 35935 13214, has_genre, 30463 13214, release_year, 35935 16991, has_genre, 30463 16991, release_year, 35935 21576, has_genre, 30463 21576, release_year, 35935 37568, has_genre, 30463 37568, has_tags, 30463 37568, release_year, 35935 39802, has_genre, 30463 39802, release_year, 35935 Question: How are BOYS AND GIRLS, DEAD IN THE WATER, and MICHAEL SALOMON related? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "BOYS AND GIRLS", "DEAD IN THE WATER", "MICHAEL SALOMON" ], "valid_edges": [ [ "24 HOUR PARTY PEOPLE", "has_genre", "COMEDY" ], [ "24 HOUR PARTY PEOPLE", "release_year", "2002" ], [ "40 DAYS AND 40 NIGHTS", "has_genre", "COMEDY" ], [ "40 DAYS AND 40 NIGHTS", "has_tags", "COMEDY" ], [ "40 DAYS AND 40 NIGHTS", "release_year", "2002" ], [ "8 WOMEN", "has_genre", "COMEDY" ], [ "8 WOMEN", "release_year", "2002" ], [ "9 DEAD GAY GUYS", "has_genre", "COMEDY" ], [ "9 DEAD GAY GUYS", "release_year", "2002" ], [ "ABOUT A BOY", "has_genre", "COMEDY" ], [ "ABOUT A BOY", "has_tags", "COMEDY" ], [ "ABOUT A BOY", "release_year", "2002" ], [ "ABOUT SCHMIDT", "has_genre", "COMEDY" ], [ "ABOUT SCHMIDT", "has_tags", "COMEDY" ], [ "ABOUT SCHMIDT", "release_year", "2002" ], [ "ALI G INDAHOUSE", "has_genre", "COMEDY" ], [ "ALI G INDAHOUSE", "release_year", "2002" ], [ "ALL ABOUT THE BENJAMINS", "has_genre", "COMEDY" ], [ "ALL ABOUT THE BENJAMINS", "has_tags", "COMEDY" ], [ "ALL ABOUT THE BENJAMINS", "release_year", "2002" ], [ "ANALYZE THAT", "has_genre", "COMEDY" ], [ "ANALYZE THAT", "has_tags", "COMEDY" ], [ "ANALYZE THAT", "release_year", "2002" ], [ "AUSTIN POWERS IN GOLDMEMBER", "has_genre", "COMEDY" ], [ "AUSTIN POWERS IN GOLDMEMBER", "has_tags", "COMEDY" ], [ "AUSTIN POWERS IN GOLDMEMBER", "release_year", "2002" ], [ "AVENGING ANGELO", "has_genre", "COMEDY" ], [ "AVENGING ANGELO", "release_year", "2002" ], [ "BAD COMPANY", "has_genre", "COMEDY" ], [ "BAD COMPANY", "release_year", "2002" ], [ "BARBERSHOP", "has_genre", "COMEDY" ], [ "BARBERSHOP", "release_year", "2002" ], [ "BEER FOR MY HORSES", "directed_by", "MICHAEL SALOMON" ], [ "BEER FOR MY HORSES", "has_genre", "COMEDY" ], [ "BEND IT LIKE BECKHAM", "has_genre", "COMEDY" ], [ "BEND IT LIKE BECKHAM", "release_year", "2002" ], [ "BIG FAT LIAR", "has_genre", "COMEDY" ], [ "BIG FAT LIAR", "release_year", "2002" ], [ "BIG TROUBLE", "has_genre", "COMEDY" ], [ "BIG TROUBLE", "release_year", "2002" ], [ "BOAT TRIP", "has_genre", "COMEDY" ], [ "BOAT TRIP", "release_year", "2002" ], [ "BOYS AND GIRLS", "has_genre", "COMEDY" ], [ "BUBBA HO-TEP", "has_genre", "COMEDY" ], [ "BUBBA HO-TEP", "has_tags", "COMEDY" ], [ "BUBBA HO-TEP", "release_year", "2002" ], [ "BUYING THE COW", "has_genre", "COMEDY" ], [ "BUYING THE COW", "release_year", "2002" ], [ "CABIN FEVER", "has_genre", "COMEDY" ], [ "CABIN FEVER", "release_year", "2002" ], [ "CARNAGE", "has_genre", "COMEDY" ], [ "CARNAGE", "release_year", "2002" ], [ "CHERISH", "has_genre", "COMEDY" ], [ "CHERISH", "release_year", "2002" ], [ "CHICAGO", "has_genre", "COMEDY" ], [ "CHICAGO", "release_year", "2002" ], [ "CHINESE ODYSSEY 2002", "has_genre", "COMEDY" ], [ "CHINESE ODYSSEY 2002", "release_year", "2002" ], [ "CRACKERJACK", "has_genre", "COMEDY" ], [ "CRACKERJACK", "release_year", "2002" ], [ "CROSSROADS", "has_genre", "COMEDY" ], [ "CROSSROADS", "release_year", "2002" ], [ "DAY OF THE WACKO", "has_genre", "COMEDY" ], [ "DAY OF THE WACKO", "release_year", "2002" ], [ "DEAD IN THE WATER", "release_year", "2002" ], [ "DEATH TO SMOOCHY", "has_genre", "COMEDY" ], [ "DEATH TO SMOOCHY", "release_year", "2002" ], [ "DIRTY DEEDS", "has_genre", "COMEDY" ], [ "DIRTY DEEDS", "has_tags", "COMEDY" ], [ "DIRTY DEEDS", "release_year", "2002" ], [ "DUMMY", "has_genre", "COMEDY" ], [ "DUMMY", "release_year", "2002" ], [ "EIGHT CRAZY NIGHTS", "has_genre", "COMEDY" ], [ "EIGHT CRAZY NIGHTS", "release_year", "2002" ], [ "EIGHT LEGGED FREAKS", "has_genre", "COMEDY" ], [ "EIGHT LEGGED FREAKS", "release_year", "2002" ], [ "FRANK MCKLUSKY, C.I.", "has_genre", "COMEDY" ], [ "FRANK MCKLUSKY, C.I.", "release_year", "2002" ], [ "FRIDAY AFTER NEXT", "has_genre", "COMEDY" ], [ "FRIDAY AFTER NEXT", "release_year", "2002" ], [ "HEARTLANDS", "has_genre", "COMEDY" ], [ "HEARTLANDS", "release_year", "2002" ], [ "HERO", "has_genre", "COMEDY" ], [ "HERO", "release_year", "2002" ], [ "HOME ALONE 4", "has_genre", "COMEDY" ], [ "HOME ALONE 4", "release_year", "2002" ], [ "I SPY", "has_genre", "COMEDY" ], [ "I SPY", "has_tags", "COMEDY" ], [ "I SPY", "release_year", "2002" ], [ "I'M WITH LUCY", "has_genre", "COMEDY" ], [ "I'M WITH LUCY", "release_year", "2002" ], [ "ICE AGE", "has_genre", "COMEDY" ], [ "ICE AGE", "has_tags", "COMEDY" ], [ "ICE AGE", "release_year", "2002" ], [ "IGBY GOES DOWN", "has_genre", "COMEDY" ], [ "IGBY GOES DOWN", "release_year", "2002" ], [ "JUST A KISS", "has_genre", "COMEDY" ], [ "JUST A KISS", "release_year", "2002" ], [ "JUWANNA MANN", "has_genre", "COMEDY" ], [ "JUWANNA MANN", "release_year", "2002" ], [ "KISS THE BRIDE", "has_genre", "COMEDY" ], [ "KISS THE BRIDE", "release_year", "2002" ], [ "LIFE OR SOMETHING LIKE IT", "has_genre", "COMEDY" ], [ "LIFE OR SOMETHING LIKE IT", "release_year", "2002" ], [ "LIFE WITHOUT DICK", "has_genre", "COMEDY" ], [ "LIFE WITHOUT DICK", "release_year", "2002" ], [ "LOVE LIZA", "has_genre", "COMEDY" ], [ "LOVE LIZA", "release_year", "2002" ], [ "MAID IN MANHATTAN", "has_genre", "COMEDY" ], [ "MAID IN MANHATTAN", "release_year", "2002" ], [ "MEN WITH BROOMS", "has_genre", "COMEDY" ], [ "MEN WITH BROOMS", "release_year", "2002" ], [ "MIRANDA", "has_genre", "COMEDY" ], [ "MIRANDA", "release_year", "2002" ], [ "MR. DEEDS", "has_genre", "COMEDY" ], [ "MR. DEEDS", "release_year", "2002" ], [ "MY BIG FAT GREEK WEDDING", "has_genre", "COMEDY" ], [ "MY BIG FAT GREEK WEDDING", "has_tags", "COMEDY" ], [ "MY BIG FAT GREEK WEDDING", "release_year", "2002" ], [ "MY LEFT EYE SEES GHOSTS", "has_genre", "COMEDY" ], [ "MY LEFT EYE SEES GHOSTS", "release_year", "2002" ], [ "MY MOTHER LIKES WOMEN", "has_genre", "COMEDY" ], [ "MY MOTHER LIKES WOMEN", "release_year", "2002" ], [ "NOVO", "has_genre", "COMEDY" ], [ "NOVO", "release_year", "2002" ], [ "NOW YOU KNOW", "has_genre", "COMEDY" ], [ "NOW YOU KNOW", "release_year", "2002" ], [ "OCCIDENT", "has_genre", "COMEDY" ], [ "OCCIDENT", "release_year", "2002" ], [ "ONCE UPON A TIME IN THE MIDLANDS", "has_genre", "COMEDY" ], [ "ONCE UPON A TIME IN THE MIDLANDS", "release_year", "2002" ], [ "ORANGE COUNTY", "has_genre", "COMEDY" ], [ "ORANGE COUNTY", "release_year", "2002" ], [ "PASSIONADA", "has_genre", "COMEDY" ], [ "PASSIONADA", "release_year", "2002" ], [ "PIPE DREAM", "has_genre", "COMEDY" ], [ "PIPE DREAM", "release_year", "2002" ], [ "PUMPKIN", "has_genre", "COMEDY" ], [ "PUMPKIN", "release_year", "2002" ], [ "PUNCH-DRUNK LOVE", "has_genre", "COMEDY" ], [ "PUNCH-DRUNK LOVE", "has_tags", "COMEDY" ], [ "PUNCH-DRUNK LOVE", "release_year", "2002" ], [ "R.S.V.P.", "has_genre", "COMEDY" ], [ "R.S.V.P.", "release_year", "2002" ], [ "ROGER DODGER", "has_genre", "COMEDY" ], [ "ROGER DODGER", "release_year", "2002" ], [ "SCOOBY-DOO", "has_genre", "COMEDY" ], [ "SCOOBY-DOO", "release_year", "2002" ], [ "SERVING SARA", "has_genre", "COMEDY" ], [ "SERVING SARA", "release_year", "2002" ], [ "SEX IS COMEDY", "has_genre", "COMEDY" ], [ "SEX IS COMEDY", "release_year", "2002" ], [ "SHOWTIME", "has_genre", "COMEDY" ], [ "SHOWTIME", "release_year", "2002" ], [ "SLACKERS", "has_genre", "COMEDY" ], [ "SLACKERS", "release_year", "2002" ], [ "SNOW DOGS", "has_genre", "COMEDY" ], [ "SNOW DOGS", "release_year", "2002" ], [ "SORORITY BOYS", "has_genre", "COMEDY" ], [ "SORORITY BOYS", "release_year", "2002" ], [ "SPUN", "has_genre", "COMEDY" ], [ "SPUN", "release_year", "2002" ], [ "STEALING HARVARD", "has_genre", "COMEDY" ], [ "STEALING HARVARD", "release_year", "2002" ], [ "SUPER SUCKER", "has_genre", "COMEDY" ], [ "SUPER SUCKER", "release_year", "2002" ], [ "SWEET HOME ALABAMA", "has_genre", "COMEDY" ], [ "SWEET HOME ALABAMA", "release_year", "2002" ], [ "SWEPT AWAY", "has_genre", "COMEDY" ], [ "SWEPT AWAY", "release_year", "2002" ], [ "THE ADVENTURES OF PLUTO NASH", "has_genre", "COMEDY" ], [ "THE ADVENTURES OF PLUTO NASH", "release_year", "2002" ], [ "THE ANARCHIST COOKBOOK", "has_genre", "COMEDY" ], [ "THE ANARCHIST COOKBOOK", "release_year", "2002" ], [ "THE BANGER SISTERS", "has_genre", "COMEDY" ], [ "THE BANGER SISTERS", "release_year", "2002" ], [ "THE CUCKOO", "has_genre", "COMEDY" ], [ "THE CUCKOO", "release_year", "2002" ], [ "THE DANGEROUS LIVES OF ALTAR BOYS", "has_genre", "COMEDY" ], [ "THE DANGEROUS LIVES OF ALTAR BOYS", "release_year", "2002" ], [ "THE GOOD GIRL", "has_genre", "COMEDY" ], [ "THE GOOD GIRL", "release_year", "2002" ], [ "THE GURU", "has_genre", "COMEDY" ], [ "THE GURU", "release_year", "2002" ], [ "THE HOT CHICK", "has_genre", "COMEDY" ], [ "THE HOT CHICK", "has_tags", "COMEDY" ], [ "THE HOT CHICK", "release_year", "2002" ], [ "THE IMPORTANCE OF BEING EARNEST", "has_genre", "COMEDY" ], [ "THE IMPORTANCE OF BEING EARNEST", "release_year", "2002" ], [ "THE MAN WITHOUT A PAST", "has_genre", "COMEDY" ], [ "THE MAN WITHOUT A PAST", "release_year", "2002" ], [ "THE MASTER OF DISGUISE", "has_genre", "COMEDY" ], [ "THE MASTER OF DISGUISE", "release_year", "2002" ], [ "THE NEW GUY", "has_genre", "COMEDY" ], [ "THE NEW GUY", "release_year", "2002" ], [ "THE ONE AND ONLY", "has_genre", "COMEDY" ], [ "THE ONE AND ONLY", "release_year", "2002" ], [ "THE RULES OF ATTRACTION", "has_genre", "COMEDY" ], [ "THE RULES OF ATTRACTION", "release_year", "2002" ], [ "THE SWEETEST THING", "has_genre", "COMEDY" ], [ "THE SWEETEST THING", "has_tags", "COMEDY" ], [ "THE SWEETEST THING", "release_year", "2002" ], [ "THE TUXEDO", "has_genre", "COMEDY" ], [ "THE TUXEDO", "has_tags", "COMEDY" ], [ "THE TUXEDO", "release_year", "2002" ], [ "TRIGGERMEN", "has_genre", "COMEDY" ], [ "TRIGGERMEN", "release_year", "2002" ], [ "TWO WEEKS NOTICE", "has_genre", "COMEDY" ], [ "TWO WEEKS NOTICE", "release_year", "2002" ], [ "UNCONDITIONAL LOVE", "has_genre", "COMEDY" ], [ "UNCONDITIONAL LOVE", "release_year", "2002" ], [ "UNDERCOVER BROTHER", "has_genre", "COMEDY" ], [ "UNDERCOVER BROTHER", "release_year", "2002" ], [ "WAKING UP IN RENO", "has_genre", "COMEDY" ], [ "WAKING UP IN RENO", "release_year", "2002" ], [ "WELCOME TO COLLINWOOD", "has_genre", "COMEDY" ], [ "WELCOME TO COLLINWOOD", "has_tags", "COMEDY" ], [ "WELCOME TO COLLINWOOD", "release_year", "2002" ], [ "WHEN IN ROME", "has_genre", "COMEDY" ], [ "WHEN IN ROME", "release_year", "2002" ] ] }

metaqa

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 15374, 2005 4763, ADVENTURE 5155, DANNY DYER 7498, FLIGHTPLAN 37073, MRS. PALFREY AT THE CLAREMONT 24949, NICK LOVE 24746, NOAH RINGER 13539, OUTLAW 21756, RUPERT FRIEND 11043, SEAN BEAN 29129, THE ADVENTURES OF ROBIN HOOD 35282, THE BUSINESS 32465, THE FOOTBALL FACTORY 38073, THE LAST AIRBENDER 4786, THE WILLOW TREE src, edge_attr, dst 7498, release_year, 15374 7498, starred_actors, 11043 37073, release_year, 15374 37073, starred_actors, 21756 13539, directed_by, 24949 13539, starred_actors, 5155 13539, starred_actors, 21756 13539, starred_actors, 11043 13539, written_by, 24949 29129, has_genre, 4763 29129, has_tags, 13539 35282, directed_by, 24949 35282, release_year, 15374 35282, starred_actors, 5155 35282, written_by, 24949 32465, directed_by, 24949 32465, starred_actors, 5155 32465, written_by, 24949 38073, has_genre, 4763 38073, starred_actors, 24746 4786, release_year, 15374 Question: In what context are NOAH RINGER, OUTLAW, and THE WILLOW TREE connected? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "NOAH RINGER", "OUTLAW", "THE WILLOW TREE" ], "valid_edges": [ [ "FLIGHTPLAN", "release_year", "2005" ], [ "FLIGHTPLAN", "starred_actors", "SEAN BEAN" ], [ "MRS. PALFREY AT THE CLAREMONT", "release_year", "2005" ], [ "MRS. PALFREY AT THE CLAREMONT", "starred_actors", "RUPERT FRIEND" ], [ "OUTLAW", "directed_by", "NICK LOVE" ], [ "OUTLAW", "starred_actors", "DANNY DYER" ], [ "OUTLAW", "starred_actors", "RUPERT FRIEND" ], [ "OUTLAW", "starred_actors", "SEAN BEAN" ], [ "OUTLAW", "written_by", "NICK LOVE" ], [ "THE ADVENTURES OF ROBIN HOOD", "has_genre", "ADVENTURE" ], [ "THE ADVENTURES OF ROBIN HOOD", "has_tags", "OUTLAW" ], [ "THE BUSINESS", "directed_by", "NICK LOVE" ], [ "THE BUSINESS", "release_year", "2005" ], [ "THE BUSINESS", "starred_actors", "DANNY DYER" ], [ "THE BUSINESS", "written_by", "NICK LOVE" ], [ "THE FOOTBALL FACTORY", "directed_by", "NICK LOVE" ], [ "THE FOOTBALL FACTORY", "starred_actors", "DANNY DYER" ], [ "THE FOOTBALL FACTORY", "written_by", "NICK LOVE" ], [ "THE LAST AIRBENDER", "has_genre", "ADVENTURE" ], [ "THE LAST AIRBENDER", "starred_actors", "NOAH RINGER" ], [ "THE WILLOW TREE", "release_year", "2005" ] ] }

metaqa

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 29424, 2011 9377, 2014 5906, ANDREW WIGHT 31095, BRIDESMAIDS 33773, BÉBÉ'S KIDS 13812, CALVARY 33403, CHRIS O'DOWD 30463, COMEDY 36212, DRAMA 26412, FRIENDS WITH KIDS 17037, HOUSE PARTY 22972, MAYA RUDOLPH 29527, MELISSA MCCARTHY 22173, REGINALD HUDLIN 29173, ROBIN HARRIS 7209, SANCTUM 19715, ST. VINCENT src, edge_attr, dst 31095, has_genre, 30463 31095, has_tags, 33403 31095, has_tags, 30463 31095, has_tags, 22972 31095, has_tags, 29527 31095, release_year, 29424 31095, starred_actors, 22972 33773, has_genre, 30463 33773, starred_actors, 29173 33773, written_by, 22173 33773, written_by, 29173 13812, has_genre, 36212 13812, has_tags, 33403 13812, release_year, 9377 13812, starred_actors, 33403 26412, has_genre, 30463 26412, has_tags, 33403 26412, has_tags, 22972 26412, release_year, 29424 26412, starred_actors, 33403 26412, starred_actors, 22972 17037, directed_by, 22173 17037, has_genre, 30463 17037, has_tags, 22173 17037, starred_actors, 29173 17037, written_by, 22173 7209, has_genre, 36212 7209, release_year, 29424 7209, written_by, 5906 19715, has_genre, 30463 19715, has_genre, 36212 19715, has_tags, 33403 19715, has_tags, 29527 19715, release_year, 9377 19715, starred_actors, 33403 19715, starred_actors, 29527 Question: In what context are ANDREW WIGHT, CHRIS O'DOWD, and ROBIN HARRIS connected? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "ANDREW WIGHT", "CHRIS O'DOWD", "ROBIN HARRIS" ], "valid_edges": [ [ "BRIDESMAIDS", "has_genre", "COMEDY" ], [ "BRIDESMAIDS", "has_tags", "CHRIS O'DOWD" ], [ "BRIDESMAIDS", "has_tags", "COMEDY" ], [ "BRIDESMAIDS", "has_tags", "MAYA RUDOLPH" ], [ "BRIDESMAIDS", "has_tags", "MELISSA MCCARTHY" ], [ "BRIDESMAIDS", "release_year", "2011" ], [ "BRIDESMAIDS", "starred_actors", "MAYA RUDOLPH" ], [ "BÉBÉ'S KIDS", "has_genre", "COMEDY" ], [ "BÉBÉ'S KIDS", "starred_actors", "ROBIN HARRIS" ], [ "BÉBÉ'S KIDS", "written_by", "REGINALD HUDLIN" ], [ "BÉBÉ'S KIDS", "written_by", "ROBIN HARRIS" ], [ "CALVARY", "has_genre", "DRAMA" ], [ "CALVARY", "has_tags", "CHRIS O'DOWD" ], [ "CALVARY", "release_year", "2014" ], [ "CALVARY", "starred_actors", "CHRIS O'DOWD" ], [ "FRIENDS WITH KIDS", "has_genre", "COMEDY" ], [ "FRIENDS WITH KIDS", "has_tags", "CHRIS O'DOWD" ], [ "FRIENDS WITH KIDS", "has_tags", "MAYA RUDOLPH" ], [ "FRIENDS WITH KIDS", "release_year", "2011" ], [ "FRIENDS WITH KIDS", "starred_actors", "CHRIS O'DOWD" ], [ "FRIENDS WITH KIDS", "starred_actors", "MAYA RUDOLPH" ], [ "HOUSE PARTY", "directed_by", "REGINALD HUDLIN" ], [ "HOUSE PARTY", "has_genre", "COMEDY" ], [ "HOUSE PARTY", "has_tags", "REGINALD HUDLIN" ], [ "HOUSE PARTY", "starred_actors", "ROBIN HARRIS" ], [ "HOUSE PARTY", "written_by", "REGINALD HUDLIN" ], [ "SANCTUM", "has_genre", "DRAMA" ], [ "SANCTUM", "release_year", "2011" ], [ "SANCTUM", "written_by", "ANDREW WIGHT" ], [ "ST. VINCENT", "has_genre", "COMEDY" ], [ "ST. VINCENT", "has_genre", "DRAMA" ], [ "ST. VINCENT", "has_tags", "CHRIS O'DOWD" ], [ "ST. VINCENT", "has_tags", "MELISSA MCCARTHY" ], [ "ST. VINCENT", "release_year", "2014" ], [ "ST. VINCENT", "starred_actors", "CHRIS O'DOWD" ], [ "ST. VINCENT", "starred_actors", "MELISSA MCCARTHY" ] ] }

metaqa

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 26002, 10 TO MIDNIGHT 25221, 1981 15206, ANTHOLOGY 35575, CHARLES BRONSON 2979, DEATH HUNT 32864, GHOST STORY 27238, HAPPY BIRTHDAY TO ME 25412, HOOD OF HORROR 19805, J. LEE THOMPSON 4418, KWAIDAN 30157, LOLA 10823, MESSENGER OF DEATH 156, MURPHY'S LAW 28357, ST. IVES 2878, THE EVIL THAT MEN DO src, edge_attr, dst 26002, directed_by, 19805 26002, starred_actors, 35575 2979, release_year, 25221 2979, starred_actors, 35575 32864, release_year, 25221 27238, directed_by, 19805 27238, release_year, 25221 25412, has_tags, 15206 4418, has_tags, 15206 4418, has_tags, 32864 30157, release_year, 25221 30157, starred_actors, 35575 10823, directed_by, 19805 10823, starred_actors, 35575 156, directed_by, 19805 156, starred_actors, 35575 28357, directed_by, 19805 28357, starred_actors, 35575 2878, directed_by, 19805 2878, starred_actors, 35575 Question: In what context are GHOST STORY, HOOD OF HORROR, and MURPHY'S LAW connected? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "GHOST STORY", "HOOD OF HORROR", "MURPHY'S LAW" ], "valid_edges": [ [ "10 TO MIDNIGHT", "directed_by", "J. LEE THOMPSON" ], [ "10 TO MIDNIGHT", "starred_actors", "CHARLES BRONSON" ], [ "DEATH HUNT", "release_year", "1981" ], [ "DEATH HUNT", "starred_actors", "CHARLES BRONSON" ], [ "GHOST STORY", "release_year", "1981" ], [ "HAPPY BIRTHDAY TO ME", "directed_by", "J. LEE THOMPSON" ], [ "HAPPY BIRTHDAY TO ME", "release_year", "1981" ], [ "HOOD OF HORROR", "has_tags", "ANTHOLOGY" ], [ "KWAIDAN", "has_tags", "ANTHOLOGY" ], [ "KWAIDAN", "has_tags", "GHOST STORY" ], [ "LOLA", "release_year", "1981" ], [ "LOLA", "starred_actors", "CHARLES BRONSON" ], [ "MESSENGER OF DEATH", "directed_by", "J. LEE THOMPSON" ], [ "MESSENGER OF DEATH", "starred_actors", "CHARLES BRONSON" ], [ "MURPHY'S LAW", "directed_by", "J. LEE THOMPSON" ], [ "MURPHY'S LAW", "starred_actors", "CHARLES BRONSON" ], [ "ST. IVES", "directed_by", "J. LEE THOMPSON" ], [ "ST. IVES", "starred_actors", "CHARLES BRONSON" ], [ "THE EVIL THAT MEN DO", "directed_by", "J. LEE THOMPSON" ], [ "THE EVIL THAT MEN DO", "starred_actors", "CHARLES BRONSON" ] ] }

metaqa

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 26513, EDMOND O'BRIEN 31783, ENGLISH 819, FIST OF THE NORTH STAR 15667, HUMPHREY BOGART 8239, KID GALAHAD 13889, MICHAEL CURTIZ 32167, SETON I. MILLER 7554, THE BAREFOOT CONTESSA 11265, THE SEA HAWK 11351, TONY RANDEL src, edge_attr, dst 819, directed_by, 11351 819, in_language, 31783 819, written_by, 11351 8239, directed_by, 13889 8239, has_tags, 13889 8239, starred_actors, 15667 8239, written_by, 32167 7554, starred_actors, 26513 7554, starred_actors, 15667 11265, directed_by, 13889 11265, has_tags, 13889 11265, in_language, 31783 11265, written_by, 32167 Question: In what context are EDMOND O'BRIEN, SETON I. MILLER, and TONY RANDEL connected? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "EDMOND O'BRIEN", "SETON I. MILLER", "TONY RANDEL" ], "valid_edges": [ [ "FIST OF THE NORTH STAR", "directed_by", "TONY RANDEL" ], [ "FIST OF THE NORTH STAR", "in_language", "ENGLISH" ], [ "FIST OF THE NORTH STAR", "written_by", "TONY RANDEL" ], [ "KID GALAHAD", "directed_by", "MICHAEL CURTIZ" ], [ "KID GALAHAD", "has_tags", "MICHAEL CURTIZ" ], [ "KID GALAHAD", "starred_actors", "HUMPHREY BOGART" ], [ "KID GALAHAD", "written_by", "SETON I. MILLER" ], [ "THE BAREFOOT CONTESSA", "starred_actors", "EDMOND O'BRIEN" ], [ "THE BAREFOOT CONTESSA", "starred_actors", "HUMPHREY BOGART" ], [ "THE SEA HAWK", "directed_by", "MICHAEL CURTIZ" ], [ "THE SEA HAWK", "has_tags", "MICHAEL CURTIZ" ], [ "THE SEA HAWK", "in_language", "ENGLISH" ], [ "THE SEA HAWK", "written_by", "SETON I. MILLER" ] ] }

metaqa

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 32082, 11-11-11 18132, 1938 658, 2012 30146, A CHRISTMAS CAROL 25735, ALAN MOWBRAY 6793, AND THEN THERE WERE NONE 10045, BD-R 38850, BILLIE BURKE 235, BRINGING UP BABY 38693, CHILD BRIDE 32610, CONSTANCE BENNETT 12161, DARREN LYNN BOUSMAN 24481, FRANCHISE 7289, HOLIDAY 5870, HORROR 14156, KING SOLOMON'S MINES 628, LEIGH WHANNELL 10284, LOVE FINDS ANDY HARDY 21045, MAX SCHRECK 3092, MERRILY WE LIVE 24593, MUSICAL 32891, NOSFERATU 33032, PORT OF SHADOWS 30416, REPO! THE GENETIC OPERA 27857, ROLAND YOUNG 6201, ROOM SERVICE 2561, SAW II 5812, SAW III 22536, SAW IV 13197, SHAWNEE SMITH 22336, TERRANCE ZDUNICH 8220, THAT HAMILTON WOMAN 3223, THE BARKLEYS OF BROADWAY 25250, THE BARRENS 7153, THE DEVIL'S CARNIVAL 4091, THE LADY VANISHES 5128, THERE GOES MY HEART 12105, TOBIN BELL 9800, TOPPER TAKES A TRIP 9050, WHAT PRICE HOLLYWOOD? src, edge_attr, dst 32082, directed_by, 12161 32082, has_genre, 5870 32082, written_by, 12161 30146, has_tags, 10045 30146, release_year, 18132 6793, has_tags, 10045 6793, starred_actors, 27857 235, has_tags, 10045 235, release_year, 18132 38693, has_tags, 10045 38693, release_year, 18132 7289, has_tags, 10045 7289, release_year, 18132 14156, has_tags, 10045 14156, starred_actors, 27857 10284, has_tags, 10045 10284, release_year, 18132 3092, has_tags, 10045 3092, release_year, 18132 3092, starred_actors, 25735 3092, starred_actors, 38850 3092, starred_actors, 32610 32891, has_genre, 5870 32891, has_tags, 10045 32891, starred_actors, 21045 33032, has_tags, 10045 33032, release_year, 18132 30416, directed_by, 12161 30416, has_genre, 5870 30416, has_genre, 24593 30416, has_tags, 24593 30416, written_by, 22336 6201, has_tags, 10045 6201, release_year, 18132 2561, directed_by, 12161 2561, has_genre, 5870 2561, has_tags, 12161 2561, has_tags, 24481 2561, has_tags, 5870 2561, starred_actors, 13197 2561, starred_actors, 12105 2561, written_by, 12161 2561, written_by, 628 5812, directed_by, 12161 5812, has_genre, 5870 5812, has_tags, 12161 5812, has_tags, 24481 5812, starred_actors, 13197 5812, starred_actors, 12105 5812, written_by, 628 22536, directed_by, 12161 22536, has_genre, 5870 22536, has_tags, 12161 22536, has_tags, 24481 22536, starred_actors, 12105 8220, has_tags, 10045 8220, starred_actors, 25735 3223, has_tags, 10045 3223, starred_actors, 38850 25250, directed_by, 12161 25250, has_genre, 5870 25250, release_year, 658 25250, written_by, 12161 7153, directed_by, 12161 7153, has_genre, 5870 7153, has_genre, 24593 7153, release_year, 658 7153, starred_actors, 22336 7153, written_by, 22336 4091, has_tags, 10045 4091, release_year, 18132 5128, has_tags, 10045 5128, release_year, 18132 9800, has_tags, 10045 9800, release_year, 18132 9800, starred_actors, 25735 9800, starred_actors, 38850 9800, starred_actors, 32610 9800, starred_actors, 27857 9050, has_tags, 10045 9050, starred_actors, 32610 Question: For what reason are DARREN LYNN BOUSMAN, MAX SCHRECK, and TOPPER TAKES A TRIP associated? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "DARREN LYNN BOUSMAN", "MAX SCHRECK", "TOPPER TAKES A TRIP" ], "valid_edges": [ [ "11-11-11", "directed_by", "DARREN LYNN BOUSMAN" ], [ "11-11-11", "has_genre", "HORROR" ], [ "11-11-11", "written_by", "DARREN LYNN BOUSMAN" ], [ "A CHRISTMAS CAROL", "has_tags", "BD-R" ], [ "A CHRISTMAS CAROL", "release_year", "1938" ], [ "AND THEN THERE WERE NONE", "has_tags", "BD-R" ], [ "AND THEN THERE WERE NONE", "starred_actors", "ROLAND YOUNG" ], [ "BRINGING UP BABY", "has_tags", "BD-R" ], [ "BRINGING UP BABY", "release_year", "1938" ], [ "CHILD BRIDE", "has_tags", "BD-R" ], [ "CHILD BRIDE", "release_year", "1938" ], [ "HOLIDAY", "has_tags", "BD-R" ], [ "HOLIDAY", "release_year", "1938" ], [ "KING SOLOMON'S MINES", "has_tags", "BD-R" ], [ "KING SOLOMON'S MINES", "starred_actors", "ROLAND YOUNG" ], [ "LOVE FINDS ANDY HARDY", "has_tags", "BD-R" ], [ "LOVE FINDS ANDY HARDY", "release_year", "1938" ], [ "MERRILY WE LIVE", "has_tags", "BD-R" ], [ "MERRILY WE LIVE", "release_year", "1938" ], [ "MERRILY WE LIVE", "starred_actors", "ALAN MOWBRAY" ], [ "MERRILY WE LIVE", "starred_actors", "BILLIE BURKE" ], [ "MERRILY WE LIVE", "starred_actors", "CONSTANCE BENNETT" ], [ "NOSFERATU", "has_genre", "HORROR" ], [ "NOSFERATU", "has_tags", "BD-R" ], [ "NOSFERATU", "starred_actors", "MAX SCHRECK" ], [ "PORT OF SHADOWS", "has_tags", "BD-R" ], [ "PORT OF SHADOWS", "release_year", "1938" ], [ "REPO! THE GENETIC OPERA", "directed_by", "DARREN LYNN BOUSMAN" ], [ "REPO! THE GENETIC OPERA", "has_genre", "HORROR" ], [ "REPO! THE GENETIC OPERA", "has_genre", "MUSICAL" ], [ "REPO! THE GENETIC OPERA", "has_tags", "MUSICAL" ], [ "REPO! THE GENETIC OPERA", "written_by", "TERRANCE ZDUNICH" ], [ "ROOM SERVICE", "has_tags", "BD-R" ], [ "ROOM SERVICE", "release_year", "1938" ], [ "SAW II", "directed_by", "DARREN LYNN BOUSMAN" ], [ "SAW II", "has_genre", "HORROR" ], [ "SAW II", "has_tags", "DARREN LYNN BOUSMAN" ], [ "SAW II", "has_tags", "FRANCHISE" ], [ "SAW II", "has_tags", "HORROR" ], [ "SAW II", "starred_actors", "SHAWNEE SMITH" ], [ "SAW II", "starred_actors", "TOBIN BELL" ], [ "SAW II", "written_by", "DARREN LYNN BOUSMAN" ], [ "SAW II", "written_by", "LEIGH WHANNELL" ], [ "SAW III", "directed_by", "DARREN LYNN BOUSMAN" ], [ "SAW III", "has_genre", "HORROR" ], [ "SAW III", "has_tags", "DARREN LYNN BOUSMAN" ], [ "SAW III", "has_tags", "FRANCHISE" ], [ "SAW III", "starred_actors", "SHAWNEE SMITH" ], [ "SAW III", "starred_actors", "TOBIN BELL" ], [ "SAW III", "written_by", "LEIGH WHANNELL" ], [ "SAW IV", "directed_by", "DARREN LYNN BOUSMAN" ], [ "SAW IV", "has_genre", "HORROR" ], [ "SAW IV", "has_tags", "DARREN LYNN BOUSMAN" ], [ "SAW IV", "has_tags", "FRANCHISE" ], [ "SAW IV", "starred_actors", "TOBIN BELL" ], [ "THAT HAMILTON WOMAN", "has_tags", "BD-R" ], [ "THAT HAMILTON WOMAN", "starred_actors", "ALAN MOWBRAY" ], [ "THE BARKLEYS OF BROADWAY", "has_tags", "BD-R" ], [ "THE BARKLEYS OF BROADWAY", "starred_actors", "BILLIE BURKE" ], [ "THE BARRENS", "directed_by", "DARREN LYNN BOUSMAN" ], [ "THE BARRENS", "has_genre", "HORROR" ], [ "THE BARRENS", "release_year", "2012" ], [ "THE BARRENS", "written_by", "DARREN LYNN BOUSMAN" ], [ "THE DEVIL'S CARNIVAL", "directed_by", "DARREN LYNN BOUSMAN" ], [ "THE DEVIL'S CARNIVAL", "has_genre", "HORROR" ], [ "THE DEVIL'S CARNIVAL", "has_genre", "MUSICAL" ], [ "THE DEVIL'S CARNIVAL", "release_year", "2012" ], [ "THE DEVIL'S CARNIVAL", "starred_actors", "TERRANCE ZDUNICH" ], [ "THE DEVIL'S CARNIVAL", "written_by", "TERRANCE ZDUNICH" ], [ "THE LADY VANISHES", "has_tags", "BD-R" ], [ "THE LADY VANISHES", "release_year", "1938" ], [ "THERE GOES MY HEART", "has_tags", "BD-R" ], [ "THERE GOES MY HEART", "release_year", "1938" ], [ "TOPPER TAKES A TRIP", "has_tags", "BD-R" ], [ "TOPPER TAKES A TRIP", "release_year", "1938" ], [ "TOPPER TAKES A TRIP", "starred_actors", "ALAN MOWBRAY" ], [ "TOPPER TAKES A TRIP", "starred_actors", "BILLIE BURKE" ], [ "TOPPER TAKES A TRIP", "starred_actors", "CONSTANCE BENNETT" ], [ "TOPPER TAKES A TRIP", "starred_actors", "ROLAND YOUNG" ], [ "WHAT PRICE HOLLYWOOD?", "has_tags", "BD-R" ], [ "WHAT PRICE HOLLYWOOD?", "starred_actors", "CONSTANCE BENNETT" ] ] }

metaqa

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 38707, ASYLUM 36212, DRAMA 12367, HASSINA BURGAN 5870, HORROR 10128, JACOB'S LADDER 37353, NOEL 3100, PSYCHOLOGICAL HORROR 6696, SESSION 9 1195, THE PATIENCE STONE 22214, WAR src, edge_attr, dst 38707, has_genre, 36212 10128, has_genre, 5870 10128, has_tags, 3100 10128, has_tags, 22214 37353, has_genre, 36212 37353, has_tags, 36212 6696, has_genre, 5870 6696, has_tags, 38707 6696, has_tags, 5870 6696, has_tags, 3100 1195, has_genre, 36212 1195, has_genre, 22214 1195, starred_actors, 12367 Question: In what context are HASSINA BURGAN, NOEL, and PSYCHOLOGICAL HORROR connected? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "HASSINA BURGAN", "NOEL", "PSYCHOLOGICAL HORROR" ], "valid_edges": [ [ "ASYLUM", "has_genre", "DRAMA" ], [ "JACOB'S LADDER", "has_genre", "HORROR" ], [ "JACOB'S LADDER", "has_tags", "PSYCHOLOGICAL HORROR" ], [ "JACOB'S LADDER", "has_tags", "WAR" ], [ "NOEL", "has_genre", "DRAMA" ], [ "NOEL", "has_tags", "DRAMA" ], [ "SESSION 9", "has_genre", "HORROR" ], [ "SESSION 9", "has_tags", "ASYLUM" ], [ "SESSION 9", "has_tags", "HORROR" ], [ "SESSION 9", "has_tags", "PSYCHOLOGICAL HORROR" ], [ "THE PATIENCE STONE", "has_genre", "DRAMA" ], [ "THE PATIENCE STONE", "has_genre", "WAR" ], [ "THE PATIENCE STONE", "starred_actors", "HASSINA BURGAN" ] ] }

metaqa

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 26762, 2008 39137, AS GOOD AS IT GETS 9340, BABY MAMA 10445, COLD PREY 2 24116, COLLEGE 2159, GHOST TOWN 31060, GIGANTIC 11565, GOOD 6608, GOOD DICK 28501, GOODBYE SOLO 18734, GREG KINNEAR 33476, PAUL LYNCH 24736, PROM NIGHT 19341, RACE 24467, SPEED RACER 13613, THE LAZARUS PROJECT 26588, THE SECRETS OF JONATHAN SPERRY 5465, WHAT DOESN'T KILL YOU src, edge_attr, dst 39137, has_imdb_rating, 11565 39137, has_tags, 18734 39137, starred_actors, 18734 9340, has_tags, 18734 9340, release_year, 26762 9340, starred_actors, 18734 10445, has_imdb_rating, 11565 10445, release_year, 26762 24116, has_imdb_rating, 11565 24116, release_year, 26762 2159, has_tags, 18734 2159, release_year, 26762 2159, starred_actors, 18734 31060, has_imdb_rating, 11565 31060, release_year, 26762 11565, has_imdb_rating, 11565 11565, release_year, 26762 6608, has_imdb_rating, 11565 6608, release_year, 26762 28501, has_imdb_rating, 11565 28501, release_year, 26762 24736, directed_by, 33476 24736, release_year, 26762 19341, has_imdb_rating, 11565 19341, release_year, 26762 24467, has_imdb_rating, 11565 24467, release_year, 26762 13613, has_imdb_rating, 11565 13613, release_year, 26762 26588, release_year, 26762 5465, has_imdb_rating, 11565 5465, release_year, 26762 Question: For what reason are AS GOOD AS IT GETS, PAUL LYNCH, and THE SECRETS OF JONATHAN SPERRY associated? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "AS GOOD AS IT GETS", "PAUL LYNCH", "THE SECRETS OF JONATHAN SPERRY" ], "valid_edges": [ [ "AS GOOD AS IT GETS", "has_imdb_rating", "GOOD" ], [ "AS GOOD AS IT GETS", "has_tags", "GREG KINNEAR" ], [ "AS GOOD AS IT GETS", "starred_actors", "GREG KINNEAR" ], [ "BABY MAMA", "has_tags", "GREG KINNEAR" ], [ "BABY MAMA", "release_year", "2008" ], [ "BABY MAMA", "starred_actors", "GREG KINNEAR" ], [ "COLD PREY 2", "has_imdb_rating", "GOOD" ], [ "COLD PREY 2", "release_year", "2008" ], [ "COLLEGE", "has_imdb_rating", "GOOD" ], [ "COLLEGE", "release_year", "2008" ], [ "GHOST TOWN", "has_tags", "GREG KINNEAR" ], [ "GHOST TOWN", "release_year", "2008" ], [ "GHOST TOWN", "starred_actors", "GREG KINNEAR" ], [ "GIGANTIC", "has_imdb_rating", "GOOD" ], [ "GIGANTIC", "release_year", "2008" ], [ "GOOD", "has_imdb_rating", "GOOD" ], [ "GOOD", "release_year", "2008" ], [ "GOOD DICK", "has_imdb_rating", "GOOD" ], [ "GOOD DICK", "release_year", "2008" ], [ "GOODBYE SOLO", "has_imdb_rating", "GOOD" ], [ "GOODBYE SOLO", "release_year", "2008" ], [ "PROM NIGHT", "directed_by", "PAUL LYNCH" ], [ "PROM NIGHT", "release_year", "2008" ], [ "RACE", "has_imdb_rating", "GOOD" ], [ "RACE", "release_year", "2008" ], [ "SPEED RACER", "has_imdb_rating", "GOOD" ], [ "SPEED RACER", "release_year", "2008" ], [ "THE LAZARUS PROJECT", "has_imdb_rating", "GOOD" ], [ "THE LAZARUS PROJECT", "release_year", "2008" ], [ "THE SECRETS OF JONATHAN SPERRY", "release_year", "2008" ], [ "WHAT DOESN'T KILL YOU", "has_imdb_rating", "GOOD" ], [ "WHAT DOESN'T KILL YOU", "release_year", "2008" ] ] }

metaqa

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 2133, 1998 25005, A MURDER OF CROWS 9719, AFTER LIFE 6395, BLUES HARP 36016, COUSIN BETTE 6943, FALLEN 21204, GEORGE CLOONEY 3553, GODZILLA 11565, GOOD 36874, JAPANESE 14797, O BROTHER, WHERE ART THOU? 31950, OCEAN WAVES 4235, OUT OF SIGHT 3297, PATCH ADAMS 27361, RIDING ALONE FOR THOUSANDS OF MILES 28, RING 32418, THE AMERICAN 38882, THE BIRD PEOPLE IN CHINA 4662, THE GOOD GERMAN 29181, THE MONUMENTS MEN 16029, THE TATTOOED WIDOW 30136, THE THIN RED LINE 9811, VEXILLE 38318, WHAT DREAMS MAY COME 19845, WITHOUT LIMITS 15808, YOU'VE GOT MAIL src, edge_attr, dst 25005, has_imdb_rating, 11565 25005, release_year, 2133 9719, in_language, 36874 9719, release_year, 2133 6395, in_language, 36874 6395, release_year, 2133 36016, has_imdb_rating, 11565 36016, release_year, 2133 6943, has_imdb_rating, 11565 6943, release_year, 2133 3553, in_language, 36874 3553, release_year, 2133 11565, has_imdb_rating, 11565 14797, has_imdb_rating, 11565 14797, has_tags, 21204 14797, starred_actors, 21204 31950, has_imdb_rating, 11565 31950, in_language, 36874 4235, has_tags, 21204 4235, release_year, 2133 4235, starred_actors, 21204 3297, has_imdb_rating, 11565 3297, release_year, 2133 27361, has_imdb_rating, 11565 27361, in_language, 36874 28, in_language, 36874 28, release_year, 2133 32418, has_tags, 21204 32418, starred_actors, 21204 38882, in_language, 36874 38882, release_year, 2133 4662, has_imdb_rating, 11565 4662, has_tags, 21204 4662, starred_actors, 21204 29181, directed_by, 21204 29181, has_imdb_rating, 11565 29181, has_tags, 21204 29181, starred_actors, 21204 29181, written_by, 21204 16029, has_imdb_rating, 11565 16029, release_year, 2133 30136, has_tags, 21204 30136, release_year, 2133 9811, in_language, 36874 38318, has_imdb_rating, 11565 38318, release_year, 2133 19845, has_imdb_rating, 11565 19845, release_year, 2133 15808, has_imdb_rating, 11565 15808, release_year, 2133 Question: For what reason are A MURDER OF CROWS, THE AMERICAN, and VEXILLE associated? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "A MURDER OF CROWS", "THE AMERICAN", "VEXILLE" ], "valid_edges": [ [ "A MURDER OF CROWS", "has_imdb_rating", "GOOD" ], [ "A MURDER OF CROWS", "release_year", "1998" ], [ "AFTER LIFE", "in_language", "JAPANESE" ], [ "AFTER LIFE", "release_year", "1998" ], [ "BLUES HARP", "in_language", "JAPANESE" ], [ "BLUES HARP", "release_year", "1998" ], [ "COUSIN BETTE", "has_imdb_rating", "GOOD" ], [ "COUSIN BETTE", "release_year", "1998" ], [ "FALLEN", "has_imdb_rating", "GOOD" ], [ "FALLEN", "release_year", "1998" ], [ "GODZILLA", "in_language", "JAPANESE" ], [ "GODZILLA", "release_year", "1998" ], [ "GOOD", "has_imdb_rating", "GOOD" ], [ "O BROTHER, WHERE ART THOU?", "has_imdb_rating", "GOOD" ], [ "O BROTHER, WHERE ART THOU?", "has_tags", "GEORGE CLOONEY" ], [ "O BROTHER, WHERE ART THOU?", "starred_actors", "GEORGE CLOONEY" ], [ "OCEAN WAVES", "has_imdb_rating", "GOOD" ], [ "OCEAN WAVES", "in_language", "JAPANESE" ], [ "OUT OF SIGHT", "has_tags", "GEORGE CLOONEY" ], [ "OUT OF SIGHT", "release_year", "1998" ], [ "OUT OF SIGHT", "starred_actors", "GEORGE CLOONEY" ], [ "PATCH ADAMS", "has_imdb_rating", "GOOD" ], [ "PATCH ADAMS", "release_year", "1998" ], [ "RIDING ALONE FOR THOUSANDS OF MILES", "has_imdb_rating", "GOOD" ], [ "RIDING ALONE FOR THOUSANDS OF MILES", "in_language", "JAPANESE" ], [ "RING", "in_language", "JAPANESE" ], [ "RING", "release_year", "1998" ], [ "THE AMERICAN", "has_tags", "GEORGE CLOONEY" ], [ "THE AMERICAN", "starred_actors", "GEORGE CLOONEY" ], [ "THE BIRD PEOPLE IN CHINA", "in_language", "JAPANESE" ], [ "THE BIRD PEOPLE IN CHINA", "release_year", "1998" ], [ "THE GOOD GERMAN", "has_imdb_rating", "GOOD" ], [ "THE GOOD GERMAN", "has_tags", "GEORGE CLOONEY" ], [ "THE GOOD GERMAN", "starred_actors", "GEORGE CLOONEY" ], [ "THE MONUMENTS MEN", "directed_by", "GEORGE CLOONEY" ], [ "THE MONUMENTS MEN", "has_imdb_rating", "GOOD" ], [ "THE MONUMENTS MEN", "has_tags", "GEORGE CLOONEY" ], [ "THE MONUMENTS MEN", "starred_actors", "GEORGE CLOONEY" ], [ "THE MONUMENTS MEN", "written_by", "GEORGE CLOONEY" ], [ "THE TATTOOED WIDOW", "has_imdb_rating", "GOOD" ], [ "THE TATTOOED WIDOW", "release_year", "1998" ], [ "THE THIN RED LINE", "has_tags", "GEORGE CLOONEY" ], [ "THE THIN RED LINE", "release_year", "1998" ], [ "VEXILLE", "in_language", "JAPANESE" ], [ "WHAT DREAMS MAY COME", "has_imdb_rating", "GOOD" ], [ "WHAT DREAMS MAY COME", "release_year", "1998" ], [ "WITHOUT LIMITS", "has_imdb_rating", "GOOD" ], [ "WITHOUT LIMITS", "release_year", "1998" ], [ "YOU'VE GOT MAIL", "has_imdb_rating", "GOOD" ], [ "YOU'VE GOT MAIL", "release_year", "1998" ] ] }

metaqa

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 15416, BOYFRIENDS AND GIRLFRIENDS 30463, COMEDY 20990, HOLY MATRIMONY 39920, OFFICE SPACE 5947, SOPHIE RENOIR src, edge_attr, dst 15416, has_genre, 30463 15416, starred_actors, 5947 20990, has_genre, 30463 39920, has_genre, 30463 39920, has_tags, 30463 Question: For what reason are HOLY MATRIMONY, OFFICE SPACE, and SOPHIE RENOIR associated? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "HOLY MATRIMONY", "OFFICE SPACE", "SOPHIE RENOIR" ], "valid_edges": [ [ "BOYFRIENDS AND GIRLFRIENDS", "has_genre", "COMEDY" ], [ "BOYFRIENDS AND GIRLFRIENDS", "starred_actors", "SOPHIE RENOIR" ], [ "HOLY MATRIMONY", "has_genre", "COMEDY" ], [ "OFFICE SPACE", "has_genre", "COMEDY" ], [ "OFFICE SPACE", "has_tags", "COMEDY" ] ] }

metaqa

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 36268, 1980 28210, ALAN ORMSBY 36853, ALTERED STATES 36593, BLACK CHRISTMAS 27791, BOB CLARK 37912, CAT PEOPLE 15226, CHILDREN SHOULDN'T PLAY WITH DEAD THINGS 25738, CHRISTMAS EVIL 13888, CITY OF THE LIVING DEAD 16813, CONTAMINATION 14128, D.J. COTRONA 9248, DEATH SHIP 22215, FRIDAY THE 13TH 1408, HE KNOWS YOU'RE ALONE 2600, HELL OF THE LIVING DEAD 5870, HORROR 24167, INFERNO 24437, MANIAC 30047, MOTEL HELL 19825, MOTHER'S DAY 8138, POPCORN 4604, PRIVATE BENJAMIN 24736, PROM NIGHT 5864, THE AWAKENING 34039, THE CHANGELING 27423, THE FOG 5592, THE HEARSE 19018, THE SHINING 14962, THE WATCHER IN THE WOODS 27274, VENOM 21887, WITHOUT WARNING src, edge_attr, dst 36853, has_genre, 5870 36853, release_year, 36268 36593, directed_by, 27791 36593, has_genre, 5870 36593, has_tags, 27791 36593, has_tags, 5870 37912, has_genre, 5870 37912, written_by, 28210 15226, directed_by, 27791 15226, has_genre, 5870 15226, starred_actors, 28210 15226, written_by, 28210 15226, written_by, 27791 25738, has_genre, 5870 25738, release_year, 36268 13888, has_genre, 5870 13888, has_tags, 5870 13888, release_year, 36268 16813, has_genre, 5870 16813, release_year, 36268 9248, has_genre, 5870 9248, release_year, 36268 22215, has_genre, 5870 22215, release_year, 36268 1408, has_genre, 5870 1408, release_year, 36268 2600, has_genre, 5870 2600, release_year, 36268 24167, has_genre, 5870 24167, release_year, 36268 24437, has_genre, 5870 24437, release_year, 36268 30047, has_genre, 5870 30047, release_year, 36268 19825, has_genre, 5870 19825, release_year, 36268 8138, directed_by, 28210 8138, has_genre, 5870 8138, written_by, 28210 4604, release_year, 36268 24736, has_genre, 5870 24736, release_year, 36268 5864, has_genre, 5870 5864, has_tags, 5870 5864, release_year, 36268 34039, has_genre, 5870 34039, release_year, 36268 27423, has_genre, 5870 27423, has_tags, 5870 27423, release_year, 36268 5592, has_genre, 5870 5592, release_year, 36268 19018, has_genre, 5870 19018, has_tags, 5870 19018, release_year, 36268 14962, has_genre, 5870 14962, release_year, 36268 27274, has_genre, 5870 27274, starred_actors, 14128 21887, has_genre, 5870 21887, release_year, 36268 Question: How are CHILDREN SHOULDN'T PLAY WITH DEAD THINGS, D.J. COTRONA, and PRIVATE BENJAMIN related? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "CHILDREN SHOULDN'T PLAY WITH DEAD THINGS", "D.J. COTRONA", "PRIVATE BENJAMIN" ], "valid_edges": [ [ "ALTERED STATES", "has_genre", "HORROR" ], [ "ALTERED STATES", "release_year", "1980" ], [ "BLACK CHRISTMAS", "directed_by", "BOB CLARK" ], [ "BLACK CHRISTMAS", "has_genre", "HORROR" ], [ "BLACK CHRISTMAS", "has_tags", "BOB CLARK" ], [ "BLACK CHRISTMAS", "has_tags", "HORROR" ], [ "CAT PEOPLE", "has_genre", "HORROR" ], [ "CAT PEOPLE", "written_by", "ALAN ORMSBY" ], [ "CHILDREN SHOULDN'T PLAY WITH DEAD THINGS", "directed_by", "BOB CLARK" ], [ "CHILDREN SHOULDN'T PLAY WITH DEAD THINGS", "has_genre", "HORROR" ], [ "CHILDREN SHOULDN'T PLAY WITH DEAD THINGS", "starred_actors", "ALAN ORMSBY" ], [ "CHILDREN SHOULDN'T PLAY WITH DEAD THINGS", "written_by", "ALAN ORMSBY" ], [ "CHILDREN SHOULDN'T PLAY WITH DEAD THINGS", "written_by", "BOB CLARK" ], [ "CHRISTMAS EVIL", "has_genre", "HORROR" ], [ "CHRISTMAS EVIL", "release_year", "1980" ], [ "CITY OF THE LIVING DEAD", "has_genre", "HORROR" ], [ "CITY OF THE LIVING DEAD", "has_tags", "HORROR" ], [ "CITY OF THE LIVING DEAD", "release_year", "1980" ], [ "CONTAMINATION", "has_genre", "HORROR" ], [ "CONTAMINATION", "release_year", "1980" ], [ "DEATH SHIP", "has_genre", "HORROR" ], [ "DEATH SHIP", "release_year", "1980" ], [ "FRIDAY THE 13TH", "has_genre", "HORROR" ], [ "FRIDAY THE 13TH", "release_year", "1980" ], [ "HE KNOWS YOU'RE ALONE", "has_genre", "HORROR" ], [ "HE KNOWS YOU'RE ALONE", "release_year", "1980" ], [ "HELL OF THE LIVING DEAD", "has_genre", "HORROR" ], [ "HELL OF THE LIVING DEAD", "release_year", "1980" ], [ "INFERNO", "has_genre", "HORROR" ], [ "INFERNO", "release_year", "1980" ], [ "MANIAC", "has_genre", "HORROR" ], [ "MANIAC", "release_year", "1980" ], [ "MOTEL HELL", "has_genre", "HORROR" ], [ "MOTEL HELL", "release_year", "1980" ], [ "MOTHER'S DAY", "has_genre", "HORROR" ], [ "MOTHER'S DAY", "release_year", "1980" ], [ "POPCORN", "directed_by", "ALAN ORMSBY" ], [ "POPCORN", "has_genre", "HORROR" ], [ "POPCORN", "written_by", "ALAN ORMSBY" ], [ "PRIVATE BENJAMIN", "release_year", "1980" ], [ "PROM NIGHT", "has_genre", "HORROR" ], [ "PROM NIGHT", "release_year", "1980" ], [ "THE AWAKENING", "has_genre", "HORROR" ], [ "THE AWAKENING", "has_tags", "HORROR" ], [ "THE AWAKENING", "release_year", "1980" ], [ "THE CHANGELING", "has_genre", "HORROR" ], [ "THE CHANGELING", "release_year", "1980" ], [ "THE FOG", "has_genre", "HORROR" ], [ "THE FOG", "has_tags", "HORROR" ], [ "THE FOG", "release_year", "1980" ], [ "THE HEARSE", "has_genre", "HORROR" ], [ "THE HEARSE", "release_year", "1980" ], [ "THE SHINING", "has_genre", "HORROR" ], [ "THE SHINING", "has_tags", "HORROR" ], [ "THE SHINING", "release_year", "1980" ], [ "THE WATCHER IN THE WOODS", "has_genre", "HORROR" ], [ "THE WATCHER IN THE WOODS", "release_year", "1980" ], [ "VENOM", "has_genre", "HORROR" ], [ "VENOM", "starred_actors", "D.J. COTRONA" ], [ "WITHOUT WARNING", "has_genre", "HORROR" ], [ "WITHOUT WARNING", "release_year", "1980" ] ] }

metaqa

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 6721, 1972 17315, 2007 37655, AL PACINO 2973, ALL THE COLORS OF THE DARK 9942, ANTHONY SHAFFER 15278, AVANTI! 13211, CALIBER 9 26346, DADDY'S LITTLE GIRLS 24214, DON'T TORTURE A DUCKLING 2848, FRENZY 31307, GODZILLA VS. GIGAN 33673, HEAT 11233, HIDEO YAMAMOTO 4215, ICHI THE KILLER 16200, ITALIAN 36874, JAPANESE 23374, LAST OF THE RED HOT LOVERS 31211, LUDWIG 1153, MICHAEL CAINE 15145, MYSTERY 37159, NEIL SIMON 37810, PULP 13081, R 28729, REMAKE 6119, SLEUTH 15568, THE CANTERBURY TALES 6524, THE GETAWAY 35551, THE GODFATHER 19595, THE HEARTBREAK KID 15202, THE LAST HOUSE ON THE LEFT 36168, THE MATTEI AFFAIR 8839, THE MECHANIC 34254, THEY ONLY KILL THEIR MASTERS 34730, TYLER PERRY 4117, UNDER THE FLAG OF THE RISING SUN 28211, WHAT HAVE YOU DONE TO SOLANGE? 6287, WHY DID I GET MARRIED? src, edge_attr, dst 2973, in_language, 16200 2973, release_year, 6721 15278, in_language, 16200 15278, release_year, 6721 13211, in_language, 16200 13211, release_year, 6721 26346, directed_by, 34730 26346, release_year, 17315 26346, written_by, 34730 24214, in_language, 16200 24214, release_year, 6721 2848, release_year, 6721 2848, written_by, 9942 31307, in_language, 36874 31307, release_year, 6721 33673, has_tags, 37655 33673, has_tags, 13081 33673, release_year, 6721 33673, starred_actors, 37655 4215, in_language, 36874 4215, written_by, 11233 23374, release_year, 6721 23374, written_by, 37159 31211, in_language, 16200 31211, release_year, 6721 37810, release_year, 6721 37810, starred_actors, 1153 6119, has_genre, 15145 6119, has_tags, 1153 6119, has_tags, 15145 6119, has_tags, 13081 6119, in_language, 16200 6119, release_year, 6721 6119, release_year, 17315 6119, starred_actors, 1153 6119, written_by, 9942 15568, in_language, 16200 15568, release_year, 6721 6524, has_tags, 28729 6524, release_year, 6721 35551, has_tags, 37655 35551, has_tags, 16200 35551, has_tags, 13081 35551, in_language, 16200 35551, release_year, 6721 35551, starred_actors, 37655 19595, has_tags, 37159 19595, has_tags, 13081 19595, has_tags, 28729 19595, release_year, 6721 19595, release_year, 17315 19595, written_by, 37159 15202, has_tags, 28729 15202, release_year, 6721 36168, in_language, 16200 36168, release_year, 6721 8839, has_tags, 28729 8839, release_year, 6721 34254, has_genre, 15145 34254, release_year, 6721 4117, in_language, 36874 4117, release_year, 6721 28211, has_genre, 15145 28211, in_language, 16200 28211, release_year, 6721 6287, directed_by, 34730 6287, has_tags, 34730 6287, release_year, 17315 6287, starred_actors, 34730 6287, written_by, 34730 Question: How are 1972, HIDEO YAMAMOTO, and WHY DID I GET MARRIED? related? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "1972", "HIDEO YAMAMOTO", "WHY DID I GET MARRIED?" ], "valid_edges": [ [ "ALL THE COLORS OF THE DARK", "in_language", "ITALIAN" ], [ "ALL THE COLORS OF THE DARK", "release_year", "1972" ], [ "AVANTI!", "in_language", "ITALIAN" ], [ "AVANTI!", "release_year", "1972" ], [ "CALIBER 9", "in_language", "ITALIAN" ], [ "CALIBER 9", "release_year", "1972" ], [ "DADDY'S LITTLE GIRLS", "directed_by", "TYLER PERRY" ], [ "DADDY'S LITTLE GIRLS", "release_year", "2007" ], [ "DADDY'S LITTLE GIRLS", "written_by", "TYLER PERRY" ], [ "DON'T TORTURE A DUCKLING", "in_language", "ITALIAN" ], [ "DON'T TORTURE A DUCKLING", "release_year", "1972" ], [ "FRENZY", "release_year", "1972" ], [ "FRENZY", "written_by", "ANTHONY SHAFFER" ], [ "GODZILLA VS. GIGAN", "in_language", "JAPANESE" ], [ "GODZILLA VS. GIGAN", "release_year", "1972" ], [ "HEAT", "has_tags", "AL PACINO" ], [ "HEAT", "has_tags", "R" ], [ "HEAT", "release_year", "1972" ], [ "HEAT", "starred_actors", "AL PACINO" ], [ "ICHI THE KILLER", "in_language", "JAPANESE" ], [ "ICHI THE KILLER", "written_by", "HIDEO YAMAMOTO" ], [ "LAST OF THE RED HOT LOVERS", "release_year", "1972" ], [ "LAST OF THE RED HOT LOVERS", "written_by", "NEIL SIMON" ], [ "LUDWIG", "in_language", "ITALIAN" ], [ "LUDWIG", "release_year", "1972" ], [ "PULP", "release_year", "1972" ], [ "PULP", "starred_actors", "MICHAEL CAINE" ], [ "SLEUTH", "has_genre", "MYSTERY" ], [ "SLEUTH", "has_tags", "MICHAEL CAINE" ], [ "SLEUTH", "has_tags", "MYSTERY" ], [ "SLEUTH", "has_tags", "R" ], [ "SLEUTH", "in_language", "ITALIAN" ], [ "SLEUTH", "release_year", "1972" ], [ "SLEUTH", "release_year", "2007" ], [ "SLEUTH", "starred_actors", "MICHAEL CAINE" ], [ "SLEUTH", "written_by", "ANTHONY SHAFFER" ], [ "THE CANTERBURY TALES", "in_language", "ITALIAN" ], [ "THE CANTERBURY TALES", "release_year", "1972" ], [ "THE GETAWAY", "has_tags", "REMAKE" ], [ "THE GETAWAY", "release_year", "1972" ], [ "THE GODFATHER", "has_tags", "AL PACINO" ], [ "THE GODFATHER", "has_tags", "ITALIAN" ], [ "THE GODFATHER", "has_tags", "R" ], [ "THE GODFATHER", "in_language", "ITALIAN" ], [ "THE GODFATHER", "release_year", "1972" ], [ "THE GODFATHER", "starred_actors", "AL PACINO" ], [ "THE HEARTBREAK KID", "has_tags", "NEIL SIMON" ], [ "THE HEARTBREAK KID", "has_tags", "R" ], [ "THE HEARTBREAK KID", "has_tags", "REMAKE" ], [ "THE HEARTBREAK KID", "release_year", "1972" ], [ "THE HEARTBREAK KID", "release_year", "2007" ], [ "THE HEARTBREAK KID", "written_by", "NEIL SIMON" ], [ "THE LAST HOUSE ON THE LEFT", "has_tags", "REMAKE" ], [ "THE LAST HOUSE ON THE LEFT", "release_year", "1972" ], [ "THE MATTEI AFFAIR", "in_language", "ITALIAN" ], [ "THE MATTEI AFFAIR", "release_year", "1972" ], [ "THE MECHANIC", "has_tags", "REMAKE" ], [ "THE MECHANIC", "release_year", "1972" ], [ "THEY ONLY KILL THEIR MASTERS", "has_genre", "MYSTERY" ], [ "THEY ONLY KILL THEIR MASTERS", "release_year", "1972" ], [ "UNDER THE FLAG OF THE RISING SUN", "in_language", "JAPANESE" ], [ "UNDER THE FLAG OF THE RISING SUN", "release_year", "1972" ], [ "WHAT HAVE YOU DONE TO SOLANGE?", "has_genre", "MYSTERY" ], [ "WHAT HAVE YOU DONE TO SOLANGE?", "in_language", "ITALIAN" ], [ "WHAT HAVE YOU DONE TO SOLANGE?", "release_year", "1972" ], [ "WHY DID I GET MARRIED?", "directed_by", "TYLER PERRY" ], [ "WHY DID I GET MARRIED?", "has_tags", "TYLER PERRY" ], [ "WHY DID I GET MARRIED?", "release_year", "2007" ], [ "WHY DID I GET MARRIED?", "starred_actors", "TYLER PERRY" ], [ "WHY DID I GET MARRIED?", "written_by", "TYLER PERRY" ] ] }

metaqa

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 29561, 1943 29424, 2011 37908, AFRICAN CATS 37994, ANGEL DOG 39613, BEAUTY DAY 21372, BEVERLY HILLS CHIHUAHUA 2 26510, BORN TO BE WILD 29342, BULLY 17035, DEBTOCRACY 12841, DOCUMENTARY 3032, DOLPHIN TALE 1519, DREAMS OF A LIFE 10509, FAMILY 39366, HAPPY 20013, HAPPY FEET TWO 17345, HERE WITHOUT ME 23442, HOODWINKED TOO! HOOD VS. EVIL 21922, JANE EYRE 24247, LEONOR WATLING 19802, LOVE 28468, MAGIC TRIP 7839, MISS REPRESENTATION 12706, MR. POPPER'S PENGUINS 35524, ONE LIFE 2108, PEARL JAM TWENTY 29086, PINA 38002, RED DOG 10984, REVENGE OF THE ELECTRIC CAR 12599, SURVIVING PROGRESS 9972, TALK TO HER 2588, THE AMBASSADOR 24264, THE BATTLE OF RUSSIA 11259, THE BLACK POWER MIXTAPE 1967-1975 20837, THE CAPTAINS 20969, THE FLAT 39978, THE HUMAN COMEDY 30700, THE INTERRUPTERS 38461, THE LAST LIONS 27444, THE LAST MOUNTAIN 39587, THE OTHER F WORD 29052, THESE AMAZING SHADOWS 36765, THIS IS NOT A FILM 16214, UNLAWFUL KILLING 8957, WE BOUGHT A ZOO 4896, WHORES' GLORY 9056, YOU'VE BEEN TRUMPED src, edge_attr, dst 37908, has_genre, 12841 37908, release_year, 29424 37994, has_genre, 10509 37994, release_year, 29424 39613, has_genre, 12841 39613, release_year, 29424 21372, has_genre, 10509 21372, release_year, 29424 26510, has_genre, 12841 26510, release_year, 29424 29342, has_genre, 12841 29342, release_year, 29424 17035, has_genre, 12841 17035, release_year, 29424 3032, has_genre, 10509 3032, has_tags, 10509 3032, release_year, 29424 1519, has_genre, 12841 1519, release_year, 29424 39366, has_genre, 12841 39366, has_genre, 10509 39366, has_tags, 12841 39366, release_year, 29424 20013, has_genre, 10509 20013, release_year, 29424 17345, has_genre, 10509 17345, release_year, 29424 23442, has_genre, 10509 23442, release_year, 29424 21922, release_year, 29561 21922, release_year, 29424 19802, release_year, 29424 28468, has_genre, 12841 28468, release_year, 29424 7839, has_genre, 12841 7839, release_year, 29424 12706, has_genre, 10509 12706, release_year, 29424 35524, has_genre, 12841 35524, release_year, 29424 2108, has_genre, 12841 2108, release_year, 29424 29086, has_genre, 12841 29086, has_tags, 12841 29086, release_year, 29424 38002, has_genre, 10509 38002, release_year, 29424 10984, has_genre, 12841 10984, release_year, 29424 12599, has_genre, 12841 12599, has_tags, 12841 12599, release_year, 29424 9972, has_tags, 24247 9972, has_tags, 19802 9972, starred_actors, 24247 2588, has_genre, 12841 2588, release_year, 29424 24264, has_genre, 12841 24264, release_year, 29561 11259, has_genre, 12841 11259, release_year, 29424 20837, has_genre, 12841 20837, release_year, 29424 20969, has_genre, 12841 20969, release_year, 29424 39978, has_genre, 10509 39978, release_year, 29561 30700, has_genre, 12841 30700, release_year, 29424 38461, has_genre, 12841 38461, release_year, 29424 27444, has_genre, 12841 27444, release_year, 29424 39587, has_genre, 12841 39587, release_year, 29424 29052, has_genre, 12841 29052, release_year, 29424 36765, has_genre, 12841 36765, release_year, 29424 16214, has_genre, 12841 16214, release_year, 29424 8957, has_genre, 10509 8957, has_tags, 10509 8957, release_year, 29424 4896, has_genre, 12841 4896, has_tags, 12841 4896, release_year, 29424 9056, has_genre, 12841 9056, release_year, 29424 Question: How are DREAMS OF A LIFE, LEONOR WATLING, and THE HUMAN COMEDY related? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "DREAMS OF A LIFE", "LEONOR WATLING", "THE HUMAN COMEDY" ], "valid_edges": [ [ "AFRICAN CATS", "has_genre", "DOCUMENTARY" ], [ "AFRICAN CATS", "release_year", "2011" ], [ "ANGEL DOG", "has_genre", "FAMILY" ], [ "ANGEL DOG", "release_year", "2011" ], [ "BEAUTY DAY", "has_genre", "DOCUMENTARY" ], [ "BEAUTY DAY", "release_year", "2011" ], [ "BEVERLY HILLS CHIHUAHUA 2", "has_genre", "FAMILY" ], [ "BEVERLY HILLS CHIHUAHUA 2", "release_year", "2011" ], [ "BORN TO BE WILD", "has_genre", "DOCUMENTARY" ], [ "BORN TO BE WILD", "release_year", "2011" ], [ "BULLY", "has_genre", "DOCUMENTARY" ], [ "BULLY", "release_year", "2011" ], [ "DEBTOCRACY", "has_genre", "DOCUMENTARY" ], [ "DEBTOCRACY", "release_year", "2011" ], [ "DOLPHIN TALE", "has_genre", "FAMILY" ], [ "DOLPHIN TALE", "has_tags", "FAMILY" ], [ "DOLPHIN TALE", "release_year", "2011" ], [ "DREAMS OF A LIFE", "has_genre", "DOCUMENTARY" ], [ "DREAMS OF A LIFE", "release_year", "2011" ], [ "HAPPY", "has_genre", "DOCUMENTARY" ], [ "HAPPY", "has_genre", "FAMILY" ], [ "HAPPY", "has_tags", "DOCUMENTARY" ], [ "HAPPY", "release_year", "2011" ], [ "HAPPY FEET TWO", "has_genre", "FAMILY" ], [ "HAPPY FEET TWO", "release_year", "2011" ], [ "HERE WITHOUT ME", "has_genre", "FAMILY" ], [ "HERE WITHOUT ME", "release_year", "2011" ], [ "HOODWINKED TOO! HOOD VS. EVIL", "has_genre", "FAMILY" ], [ "HOODWINKED TOO! HOOD VS. EVIL", "release_year", "2011" ], [ "JANE EYRE", "release_year", "1943" ], [ "JANE EYRE", "release_year", "2011" ], [ "LOVE", "release_year", "2011" ], [ "MAGIC TRIP", "has_genre", "DOCUMENTARY" ], [ "MAGIC TRIP", "release_year", "2011" ], [ "MISS REPRESENTATION", "has_genre", "DOCUMENTARY" ], [ "MISS REPRESENTATION", "release_year", "2011" ], [ "MR. POPPER'S PENGUINS", "has_genre", "FAMILY" ], [ "MR. POPPER'S PENGUINS", "release_year", "2011" ], [ "ONE LIFE", "has_genre", "DOCUMENTARY" ], [ "ONE LIFE", "release_year", "2011" ], [ "PEARL JAM TWENTY", "has_genre", "DOCUMENTARY" ], [ "PEARL JAM TWENTY", "release_year", "2011" ], [ "PINA", "has_genre", "DOCUMENTARY" ], [ "PINA", "has_tags", "DOCUMENTARY" ], [ "PINA", "release_year", "2011" ], [ "RED DOG", "has_genre", "FAMILY" ], [ "RED DOG", "release_year", "2011" ], [ "REVENGE OF THE ELECTRIC CAR", "has_genre", "DOCUMENTARY" ], [ "REVENGE OF THE ELECTRIC CAR", "release_year", "2011" ], [ "SURVIVING PROGRESS", "has_genre", "DOCUMENTARY" ], [ "SURVIVING PROGRESS", "has_tags", "DOCUMENTARY" ], [ "SURVIVING PROGRESS", "release_year", "2011" ], [ "TALK TO HER", "has_tags", "LEONOR WATLING" ], [ "TALK TO HER", "has_tags", "LOVE" ], [ "TALK TO HER", "starred_actors", "LEONOR WATLING" ], [ "THE AMBASSADOR", "has_genre", "DOCUMENTARY" ], [ "THE AMBASSADOR", "release_year", "2011" ], [ "THE BATTLE OF RUSSIA", "has_genre", "DOCUMENTARY" ], [ "THE BATTLE OF RUSSIA", "release_year", "1943" ], [ "THE BLACK POWER MIXTAPE 1967-1975", "has_genre", "DOCUMENTARY" ], [ "THE BLACK POWER MIXTAPE 1967-1975", "release_year", "2011" ], [ "THE CAPTAINS", "has_genre", "DOCUMENTARY" ], [ "THE CAPTAINS", "release_year", "2011" ], [ "THE FLAT", "has_genre", "DOCUMENTARY" ], [ "THE FLAT", "release_year", "2011" ], [ "THE HUMAN COMEDY", "has_genre", "FAMILY" ], [ "THE HUMAN COMEDY", "release_year", "1943" ], [ "THE INTERRUPTERS", "has_genre", "DOCUMENTARY" ], [ "THE INTERRUPTERS", "release_year", "2011" ], [ "THE LAST LIONS", "has_genre", "DOCUMENTARY" ], [ "THE LAST LIONS", "release_year", "2011" ], [ "THE LAST MOUNTAIN", "has_genre", "DOCUMENTARY" ], [ "THE LAST MOUNTAIN", "release_year", "2011" ], [ "THE OTHER F WORD", "has_genre", "DOCUMENTARY" ], [ "THE OTHER F WORD", "release_year", "2011" ], [ "THESE AMAZING SHADOWS", "has_genre", "DOCUMENTARY" ], [ "THESE AMAZING SHADOWS", "release_year", "2011" ], [ "THIS IS NOT A FILM", "has_genre", "DOCUMENTARY" ], [ "THIS IS NOT A FILM", "release_year", "2011" ], [ "UNLAWFUL KILLING", "has_genre", "DOCUMENTARY" ], [ "UNLAWFUL KILLING", "release_year", "2011" ], [ "WE BOUGHT A ZOO", "has_genre", "FAMILY" ], [ "WE BOUGHT A ZOO", "has_tags", "FAMILY" ], [ "WE BOUGHT A ZOO", "release_year", "2011" ], [ "WHORES' GLORY", "has_genre", "DOCUMENTARY" ], [ "WHORES' GLORY", "has_tags", "DOCUMENTARY" ], [ "WHORES' GLORY", "release_year", "2011" ], [ "YOU'VE BEEN TRUMPED", "has_genre", "DOCUMENTARY" ], [ "YOU'VE BEEN TRUMPED", "release_year", "2011" ] ] }

metaqa

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 35749, BRECKIN MEYER 1148, CONFESSIONS 8872, DANCER, TEXAS POP. 81 36212, DRAMA 4108, KANAE MINATO 12106, MATTHEW RHYS 27064, THE SCAPEGOAT src, edge_attr, dst 1148, has_genre, 36212 1148, written_by, 4108 8872, has_genre, 36212 8872, starred_actors, 35749 27064, has_genre, 36212 27064, starred_actors, 12106 Question: In what context are BRECKIN MEYER, KANAE MINATO, and MATTHEW RHYS connected? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "BRECKIN MEYER", "KANAE MINATO", "MATTHEW RHYS" ], "valid_edges": [ [ "CONFESSIONS", "has_genre", "DRAMA" ], [ "CONFESSIONS", "written_by", "KANAE MINATO" ], [ "DANCER, TEXAS POP. 81", "has_genre", "DRAMA" ], [ "DANCER, TEXAS POP. 81", "starred_actors", "BRECKIN MEYER" ], [ "THE SCAPEGOAT", "has_genre", "DRAMA" ], [ "THE SCAPEGOAT", "starred_actors", "MATTHEW RHYS" ] ] }

metaqa

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 13805, BRET ROBERTS 30463, COMEDY 5870, HORROR 13963, JOHNNY VEGAS 35018, KING COBRA 19020, NATIONAL LAMPOON PRESENTS DORM DAZE 34937, PATRICK CASEY 2327, SCOTT HILLENBRAND 39218, SEX LIVES OF THE POTATO MEN 8494, THE VIOLENT KIND 14057, TRANSYLMANIA src, edge_attr, dst 35018, directed_by, 2327 35018, has_genre, 5870 35018, starred_actors, 2327 35018, written_by, 2327 19020, directed_by, 2327 19020, has_genre, 30463 19020, written_by, 34937 39218, has_genre, 30463 39218, starred_actors, 13963 8494, has_genre, 5870 8494, starred_actors, 13805 14057, directed_by, 2327 14057, has_genre, 30463 14057, has_genre, 5870 14057, starred_actors, 34937 14057, written_by, 34937 Question: In what context are BRET ROBERTS, JOHNNY VEGAS, and SCOTT HILLENBRAND connected? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "BRET ROBERTS", "JOHNNY VEGAS", "SCOTT HILLENBRAND" ], "valid_edges": [ [ "KING COBRA", "directed_by", "SCOTT HILLENBRAND" ], [ "KING COBRA", "has_genre", "HORROR" ], [ "KING COBRA", "starred_actors", "SCOTT HILLENBRAND" ], [ "KING COBRA", "written_by", "SCOTT HILLENBRAND" ], [ "NATIONAL LAMPOON PRESENTS DORM DAZE", "directed_by", "SCOTT HILLENBRAND" ], [ "NATIONAL LAMPOON PRESENTS DORM DAZE", "has_genre", "COMEDY" ], [ "NATIONAL LAMPOON PRESENTS DORM DAZE", "written_by", "PATRICK CASEY" ], [ "SEX LIVES OF THE POTATO MEN", "has_genre", "COMEDY" ], [ "SEX LIVES OF THE POTATO MEN", "starred_actors", "JOHNNY VEGAS" ], [ "THE VIOLENT KIND", "has_genre", "HORROR" ], [ "THE VIOLENT KIND", "starred_actors", "BRET ROBERTS" ], [ "TRANSYLMANIA", "directed_by", "SCOTT HILLENBRAND" ], [ "TRANSYLMANIA", "has_genre", "COMEDY" ], [ "TRANSYLMANIA", "has_genre", "HORROR" ], [ "TRANSYLMANIA", "starred_actors", "PATRICK CASEY" ], [ "TRANSYLMANIA", "written_by", "PATRICK CASEY" ] ] }

metaqa

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 27261, 2009 20981, A WOMAN OF AFFAIRS 10340, ADRIFT 37608, AUSTRALIA 24556, DOWNSTAIRS 36212, DRAMA 29560, HE WHO GETS SLAPPED 5667, JOHN GILBERT 16469, LINH DAN PHAM 9235, MR. NOBODY 23155, WALKABOUT src, edge_attr, dst 20981, has_genre, 36212 20981, starred_actors, 5667 10340, has_genre, 36212 10340, release_year, 27261 10340, starred_actors, 16469 37608, has_genre, 36212 37608, has_tags, 37608 24556, has_genre, 36212 24556, starred_actors, 5667 24556, written_by, 5667 29560, has_genre, 36212 29560, starred_actors, 5667 9235, has_genre, 36212 9235, release_year, 27261 9235, starred_actors, 16469 23155, has_tags, 37608 Question: For what reason are JOHN GILBERT, LINH DAN PHAM, and WALKABOUT associated? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "JOHN GILBERT", "LINH DAN PHAM", "WALKABOUT" ], "valid_edges": [ [ "A WOMAN OF AFFAIRS", "has_genre", "DRAMA" ], [ "A WOMAN OF AFFAIRS", "starred_actors", "JOHN GILBERT" ], [ "ADRIFT", "has_genre", "DRAMA" ], [ "ADRIFT", "release_year", "2009" ], [ "ADRIFT", "starred_actors", "LINH DAN PHAM" ], [ "AUSTRALIA", "has_genre", "DRAMA" ], [ "AUSTRALIA", "has_tags", "AUSTRALIA" ], [ "DOWNSTAIRS", "has_genre", "DRAMA" ], [ "DOWNSTAIRS", "starred_actors", "JOHN GILBERT" ], [ "DOWNSTAIRS", "written_by", "JOHN GILBERT" ], [ "HE WHO GETS SLAPPED", "has_genre", "DRAMA" ], [ "HE WHO GETS SLAPPED", "starred_actors", "JOHN GILBERT" ], [ "MR. NOBODY", "has_genre", "DRAMA" ], [ "MR. NOBODY", "release_year", "2009" ], [ "MR. NOBODY", "starred_actors", "LINH DAN PHAM" ], [ "WALKABOUT", "has_tags", "AUSTRALIA" ] ] }

metaqa

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 13408, 2001 12569, ACTS OF WORSHIP 29180, CHU CHIN CHOW 30463, COMEDY 14627, GEORGE ROBEY 30384, JUMP TOMORROW 28958, MICHAEL HYATT 19692, TUNDE ADEBIMPE src, edge_attr, dst 12569, release_year, 13408 12569, starred_actors, 28958 29180, has_genre, 30463 29180, starred_actors, 14627 30384, has_genre, 30463 30384, release_year, 13408 30384, starred_actors, 19692 Question: In what context are GEORGE ROBEY, MICHAEL HYATT, and TUNDE ADEBIMPE connected? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "GEORGE ROBEY", "MICHAEL HYATT", "TUNDE ADEBIMPE" ], "valid_edges": [ [ "ACTS OF WORSHIP", "release_year", "2001" ], [ "ACTS OF WORSHIP", "starred_actors", "MICHAEL HYATT" ], [ "CHU CHIN CHOW", "has_genre", "COMEDY" ], [ "CHU CHIN CHOW", "starred_actors", "GEORGE ROBEY" ], [ "JUMP TOMORROW", "has_genre", "COMEDY" ], [ "JUMP TOMORROW", "release_year", "2001" ], [ "JUMP TOMORROW", "starred_actors", "TUNDE ADEBIMPE" ] ] }

metaqa

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 24438, 1993 27261, 2009 39750, ALIENS 4652, ANGELA SHELTON 23390, ARCADE 34587, BAD TASTE 23100, BODY BAGS 25126, BODY SNATCHERS 2747, CARNOSAUR 30463, COMEDY 29377, CRONOS 6692, DISTRICT 9 36212, DRAMA 5372, FORGOTTEN SILVER 28939, FRAN WALSH 17870, GHOST IN THE MACHINE 20214, HEAVENLY CREATURES 5870, HORROR 19098, KING KONG 32278, LEPRECHAUN 39670, MAN'S BEST FRIEND 9131, MEET THE FEEBLES 21188, MR. JONES 8519, MY BOYFRIEND'S BACK 25168, NEW ZEALAND 15793, NIGHT TERRORS 14075, PETER JACKSON 29013, PUPPET MASTER 4 23898, SUPERNATURAL 25979, THE DARK HALF 21684, THE FRIGHTENERS 26894, THE LOVELY BONES 13101, TUMBLEWEEDS src, edge_attr, dst 39750, has_tags, 5870 23390, has_genre, 5870 23390, release_year, 24438 34587, directed_by, 14075 34587, has_genre, 30463 34587, has_genre, 5870 34587, has_tags, 39750 34587, has_tags, 25168 34587, has_tags, 14075 34587, written_by, 14075 23100, has_genre, 5870 23100, release_year, 24438 25126, has_genre, 5870 25126, release_year, 24438 2747, has_genre, 5870 2747, release_year, 24438 29377, has_genre, 5870 29377, release_year, 24438 6692, has_tags, 14075 6692, release_year, 27261 5372, directed_by, 14075 5372, has_tags, 25168 5372, has_tags, 14075 5372, starred_actors, 14075 5372, written_by, 14075 17870, has_genre, 5870 17870, release_year, 24438 20214, directed_by, 14075 20214, has_genre, 36212 20214, has_tags, 25168 20214, has_tags, 14075 20214, written_by, 28939 20214, written_by, 14075 19098, directed_by, 14075 19098, has_tags, 19098 19098, has_tags, 14075 19098, written_by, 14075 32278, has_genre, 5870 32278, has_tags, 5870 32278, release_year, 24438 39670, has_genre, 5870 39670, release_year, 24438 9131, directed_by, 14075 9131, has_genre, 30463 9131, has_tags, 25168 9131, has_tags, 14075 9131, written_by, 28939 9131, written_by, 14075 21188, has_genre, 5870 21188, release_year, 24438 8519, has_genre, 5870 8519, release_year, 24438 15793, has_genre, 5870 15793, release_year, 24438 29013, has_genre, 5870 29013, release_year, 24438 25979, has_genre, 5870 25979, release_year, 24438 21684, directed_by, 14075 21684, has_genre, 30463 21684, has_genre, 5870 21684, has_tags, 14075 21684, has_tags, 23898 21684, written_by, 28939 21684, written_by, 14075 26894, directed_by, 14075 26894, has_genre, 36212 26894, has_tags, 14075 26894, has_tags, 23898 26894, release_year, 27261 26894, written_by, 14075 13101, has_genre, 30463 13101, has_genre, 36212 13101, written_by, 4652 Question: For what reason are ANGELA SHELTON, PETER JACKSON, and PUPPET MASTER 4 associated? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "ANGELA SHELTON", "PETER JACKSON", "PUPPET MASTER 4" ], "valid_edges": [ [ "ALIENS", "has_tags", "HORROR" ], [ "ARCADE", "has_genre", "HORROR" ], [ "ARCADE", "release_year", "1993" ], [ "BAD TASTE", "directed_by", "PETER JACKSON" ], [ "BAD TASTE", "has_genre", "COMEDY" ], [ "BAD TASTE", "has_genre", "HORROR" ], [ "BAD TASTE", "has_tags", "ALIENS" ], [ "BAD TASTE", "has_tags", "NEW ZEALAND" ], [ "BAD TASTE", "has_tags", "PETER JACKSON" ], [ "BAD TASTE", "written_by", "PETER JACKSON" ], [ "BODY BAGS", "has_genre", "HORROR" ], [ "BODY BAGS", "release_year", "1993" ], [ "BODY SNATCHERS", "has_genre", "HORROR" ], [ "BODY SNATCHERS", "release_year", "1993" ], [ "CARNOSAUR", "has_genre", "HORROR" ], [ "CARNOSAUR", "release_year", "1993" ], [ "CRONOS", "has_genre", "HORROR" ], [ "CRONOS", "release_year", "1993" ], [ "DISTRICT 9", "has_tags", "PETER JACKSON" ], [ "DISTRICT 9", "release_year", "2009" ], [ "FORGOTTEN SILVER", "directed_by", "PETER JACKSON" ], [ "FORGOTTEN SILVER", "has_tags", "NEW ZEALAND" ], [ "FORGOTTEN SILVER", "has_tags", "PETER JACKSON" ], [ "FORGOTTEN SILVER", "starred_actors", "PETER JACKSON" ], [ "FORGOTTEN SILVER", "written_by", "PETER JACKSON" ], [ "GHOST IN THE MACHINE", "has_genre", "HORROR" ], [ "GHOST IN THE MACHINE", "release_year", "1993" ], [ "HEAVENLY CREATURES", "directed_by", "PETER JACKSON" ], [ "HEAVENLY CREATURES", "has_genre", "DRAMA" ], [ "HEAVENLY CREATURES", "has_tags", "NEW ZEALAND" ], [ "HEAVENLY CREATURES", "has_tags", "PETER JACKSON" ], [ "HEAVENLY CREATURES", "written_by", "FRAN WALSH" ], [ "HEAVENLY CREATURES", "written_by", "PETER JACKSON" ], [ "KING KONG", "directed_by", "PETER JACKSON" ], [ "KING KONG", "has_tags", "KING KONG" ], [ "KING KONG", "has_tags", "PETER JACKSON" ], [ "KING KONG", "written_by", "PETER JACKSON" ], [ "LEPRECHAUN", "has_genre", "HORROR" ], [ "LEPRECHAUN", "has_tags", "HORROR" ], [ "LEPRECHAUN", "release_year", "1993" ], [ "MAN'S BEST FRIEND", "has_genre", "HORROR" ], [ "MAN'S BEST FRIEND", "release_year", "1993" ], [ "MEET THE FEEBLES", "directed_by", "PETER JACKSON" ], [ "MEET THE FEEBLES", "has_genre", "COMEDY" ], [ "MEET THE FEEBLES", "has_tags", "NEW ZEALAND" ], [ "MEET THE FEEBLES", "has_tags", "PETER JACKSON" ], [ "MEET THE FEEBLES", "written_by", "FRAN WALSH" ], [ "MEET THE FEEBLES", "written_by", "PETER JACKSON" ], [ "MR. JONES", "has_genre", "HORROR" ], [ "MR. JONES", "release_year", "1993" ], [ "MY BOYFRIEND'S BACK", "has_genre", "HORROR" ], [ "MY BOYFRIEND'S BACK", "release_year", "1993" ], [ "NIGHT TERRORS", "has_genre", "HORROR" ], [ "NIGHT TERRORS", "release_year", "1993" ], [ "PUPPET MASTER 4", "has_genre", "HORROR" ], [ "PUPPET MASTER 4", "release_year", "1993" ], [ "THE DARK HALF", "has_genre", "HORROR" ], [ "THE DARK HALF", "release_year", "1993" ], [ "THE FRIGHTENERS", "directed_by", "PETER JACKSON" ], [ "THE FRIGHTENERS", "has_genre", "COMEDY" ], [ "THE FRIGHTENERS", "has_genre", "HORROR" ], [ "THE FRIGHTENERS", "has_tags", "PETER JACKSON" ], [ "THE FRIGHTENERS", "has_tags", "SUPERNATURAL" ], [ "THE FRIGHTENERS", "written_by", "FRAN WALSH" ], [ "THE FRIGHTENERS", "written_by", "PETER JACKSON" ], [ "THE LOVELY BONES", "directed_by", "PETER JACKSON" ], [ "THE LOVELY BONES", "has_genre", "DRAMA" ], [ "THE LOVELY BONES", "has_tags", "PETER JACKSON" ], [ "THE LOVELY BONES", "has_tags", "SUPERNATURAL" ], [ "THE LOVELY BONES", "release_year", "2009" ], [ "THE LOVELY BONES", "written_by", "PETER JACKSON" ], [ "TUMBLEWEEDS", "has_genre", "COMEDY" ], [ "TUMBLEWEEDS", "has_genre", "DRAMA" ], [ "TUMBLEWEEDS", "written_by", "ANGELA SHELTON" ] ] }

metaqa

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 29145, 10 ITEMS OR LESS 35845, 2006 18243, A SCANNER DARKLY 23754, AFTER THE WEDDING 6938, ALPHA DOG 8229, APOCALYPTO 24301, ART SCHOOL CONFIDENTIAL 18820, ASK THE DUST 24366, BABEL 36593, BLACK CHRISTMAS 16664, BLOOD DIAMOND 10531, BOBBY 867, BREAKING AND ENTERING 12724, BROKEN SKY 17899, BUG 33360, CANDY 22435, CHILDREN OF MEN 21625, CLERKS II 37750, CRANK 15115, CURSE OF THE GOLDEN FLOWER 3567, DAYS OF GLORY 24699, ELEGY 8262, FAMILY LAW 13766, FAST FOOD NATION 13893, FIDO 18217, FIND ME GUILTY 10315, FLAGS OF OUR FATHERS 39988, FRIENDS WITH MONEY 7879, HALF NELSON 26170, HOLLYWOODLAND 17120, INFAMOUS 19637, INLAND EMPIRE 7264, INSIDE MAN 18934, LETTERS FROM IWO JIMA 11277, LITTLE CHILDREN 24376, LITTLE MISS SUNSHINE 39673, LOS OLVIDADOS 33950, LUCKY NUMBER SLEVIN 38677, MIAMI VICE 3519, MY NAME IS JUANI 39852, PAN'S LABYRINTH 3451, PAPRIKA 24369, QUINCEAÑERA 13081, R 18480, RENAISSANCE 5766, RUNNING WITH SCISSORS 17383, SHERRYBABY 26930, SLITHER 12333, SMOKIN' ACES 7556, SPANISH 37498, TENACIOUS D IN THE PICK OF DESTINY 24057, THE BACKWOODS 11948, THE BLACK DAHLIA 31353, THE CONTRACT 1059, THE DA VINCI CODE 18997, THE DEPARTED 1723, THE FALL 4662, THE GOOD GERMAN 15862, THE GOOD SHEPHERD 32459, THE HAMMER 31309, THE HOAX 2467, THE LAST KING OF SCOTLAND 14315, THE LIVES OF OTHERS 22880, THE MACHINIST 17393, THE NIGHT LISTENER 1846, THE ONE PERCENT 956, THE ORPHANAGE 11383, THE SCIENCE OF SLEEP 37148, THE SECRET IN THEIR EYES 8334, TRANSSIBERIAN 25806, UNITED 93 23568, VANILLA SKY 36753, VENUS 35728, VOLVER src, edge_attr, dst 29145, has_tags, 13081 29145, release_year, 35845 18243, has_tags, 13081 18243, release_year, 35845 23754, has_tags, 13081 23754, release_year, 35845 6938, has_tags, 13081 6938, release_year, 35845 8229, has_tags, 13081 8229, release_year, 35845 24301, has_tags, 13081 24301, release_year, 35845 18820, has_tags, 13081 18820, release_year, 35845 24366, has_tags, 13081 24366, release_year, 35845 36593, has_tags, 13081 36593, release_year, 35845 16664, has_tags, 13081 16664, release_year, 35845 10531, has_tags, 13081 10531, release_year, 35845 867, has_tags, 13081 867, release_year, 35845 12724, in_language, 7556 12724, release_year, 35845 17899, has_tags, 13081 17899, release_year, 35845 33360, has_tags, 13081 33360, release_year, 35845 22435, has_tags, 13081 22435, release_year, 35845 21625, has_tags, 13081 21625, release_year, 35845 37750, has_tags, 13081 37750, release_year, 35845 15115, has_tags, 13081 15115, release_year, 35845 3567, has_tags, 13081 3567, release_year, 35845 24699, has_tags, 13081 24699, in_language, 7556 8262, in_language, 7556 8262, release_year, 35845 13766, has_tags, 13081 13766, release_year, 35845 13893, has_tags, 13081 13893, release_year, 35845 18217, has_tags, 13081 18217, release_year, 35845 10315, has_tags, 13081 10315, release_year, 35845 39988, has_tags, 13081 39988, release_year, 35845 7879, has_tags, 13081 7879, release_year, 35845 26170, has_tags, 13081 26170, release_year, 35845 17120, has_tags, 13081 17120, release_year, 35845 19637, has_tags, 13081 19637, release_year, 35845 7264, has_tags, 13081 7264, release_year, 35845 18934, has_tags, 13081 18934, release_year, 35845 11277, has_tags, 13081 11277, release_year, 35845 24376, has_tags, 13081 24376, release_year, 35845 39673, in_language, 7556 33950, has_tags, 13081 33950, release_year, 35845 38677, has_tags, 13081 38677, release_year, 35845 3519, in_language, 7556 3519, release_year, 35845 39852, has_tags, 13081 39852, has_tags, 7556 39852, in_language, 7556 39852, release_year, 35845 3451, has_tags, 13081 3451, release_year, 35845 24369, in_language, 7556 24369, release_year, 35845 18480, has_tags, 13081 18480, release_year, 35845 5766, has_tags, 13081 5766, release_year, 35845 17383, has_tags, 13081 17383, release_year, 35845 26930, has_tags, 13081 26930, release_year, 35845 12333, has_tags, 13081 12333, release_year, 35845 37498, has_tags, 13081 37498, release_year, 35845 24057, in_language, 7556 24057, release_year, 35845 11948, has_tags, 13081 11948, release_year, 35845 31353, has_tags, 13081 31353, release_year, 35845 1059, has_tags, 13081 1059, release_year, 35845 18997, has_tags, 13081 18997, release_year, 35845 1723, has_tags, 13081 1723, release_year, 35845 4662, has_tags, 13081 4662, release_year, 35845 15862, has_tags, 13081 15862, release_year, 35845 32459, has_tags, 13081 31309, has_tags, 13081 31309, release_year, 35845 2467, has_tags, 13081 2467, release_year, 35845 14315, has_tags, 13081 14315, release_year, 35845 22880, has_tags, 13081 22880, in_language, 7556 17393, has_tags, 13081 17393, release_year, 35845 1846, release_year, 35845 956, has_tags, 13081 956, has_tags, 7556 956, in_language, 7556 11383, has_tags, 13081 11383, release_year, 35845 37148, has_tags, 13081 37148, has_tags, 7556 37148, in_language, 7556 8334, has_tags, 13081 8334, in_language, 7556 25806, has_tags, 13081 25806, release_year, 35845 23568, has_tags, 13081 23568, in_language, 7556 36753, has_tags, 13081 36753, release_year, 35845 35728, has_tags, 13081 35728, has_tags, 7556 35728, in_language, 7556 35728, release_year, 35845 Question: How are LOS OLVIDADOS, THE HAMMER, and THE ONE PERCENT related? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "LOS OLVIDADOS", "THE HAMMER", "THE ONE PERCENT" ], "valid_edges": [ [ "10 ITEMS OR LESS", "has_tags", "R" ], [ "10 ITEMS OR LESS", "release_year", "2006" ], [ "A SCANNER DARKLY", "has_tags", "R" ], [ "A SCANNER DARKLY", "release_year", "2006" ], [ "AFTER THE WEDDING", "has_tags", "R" ], [ "AFTER THE WEDDING", "release_year", "2006" ], [ "ALPHA DOG", "has_tags", "R" ], [ "ALPHA DOG", "release_year", "2006" ], [ "APOCALYPTO", "has_tags", "R" ], [ "APOCALYPTO", "release_year", "2006" ], [ "ART SCHOOL CONFIDENTIAL", "has_tags", "R" ], [ "ART SCHOOL CONFIDENTIAL", "release_year", "2006" ], [ "ASK THE DUST", "has_tags", "R" ], [ "ASK THE DUST", "release_year", "2006" ], [ "BABEL", "has_tags", "R" ], [ "BABEL", "release_year", "2006" ], [ "BLACK CHRISTMAS", "has_tags", "R" ], [ "BLACK CHRISTMAS", "release_year", "2006" ], [ "BLOOD DIAMOND", "has_tags", "R" ], [ "BLOOD DIAMOND", "release_year", "2006" ], [ "BOBBY", "has_tags", "R" ], [ "BOBBY", "release_year", "2006" ], [ "BREAKING AND ENTERING", "has_tags", "R" ], [ "BREAKING AND ENTERING", "release_year", "2006" ], [ "BROKEN SKY", "in_language", "SPANISH" ], [ "BROKEN SKY", "release_year", "2006" ], [ "BUG", "has_tags", "R" ], [ "BUG", "release_year", "2006" ], [ "CANDY", "has_tags", "R" ], [ "CANDY", "release_year", "2006" ], [ "CHILDREN OF MEN", "has_tags", "R" ], [ "CHILDREN OF MEN", "release_year", "2006" ], [ "CLERKS II", "has_tags", "R" ], [ "CLERKS II", "release_year", "2006" ], [ "CRANK", "has_tags", "R" ], [ "CRANK", "release_year", "2006" ], [ "CURSE OF THE GOLDEN FLOWER", "has_tags", "R" ], [ "CURSE OF THE GOLDEN FLOWER", "release_year", "2006" ], [ "DAYS OF GLORY", "has_tags", "R" ], [ "DAYS OF GLORY", "release_year", "2006" ], [ "ELEGY", "has_tags", "R" ], [ "ELEGY", "in_language", "SPANISH" ], [ "FAMILY LAW", "in_language", "SPANISH" ], [ "FAMILY LAW", "release_year", "2006" ], [ "FAST FOOD NATION", "has_tags", "R" ], [ "FAST FOOD NATION", "release_year", "2006" ], [ "FIDO", "has_tags", "R" ], [ "FIDO", "release_year", "2006" ], [ "FIND ME GUILTY", "has_tags", "R" ], [ "FIND ME GUILTY", "release_year", "2006" ], [ "FLAGS OF OUR FATHERS", "has_tags", "R" ], [ "FLAGS OF OUR FATHERS", "release_year", "2006" ], [ "FRIENDS WITH MONEY", "has_tags", "R" ], [ "FRIENDS WITH MONEY", "release_year", "2006" ], [ "HALF NELSON", "has_tags", "R" ], [ "HALF NELSON", "release_year", "2006" ], [ "HOLLYWOODLAND", "has_tags", "R" ], [ "HOLLYWOODLAND", "release_year", "2006" ], [ "INFAMOUS", "has_tags", "R" ], [ "INFAMOUS", "release_year", "2006" ], [ "INLAND EMPIRE", "has_tags", "R" ], [ "INLAND EMPIRE", "release_year", "2006" ], [ "INSIDE MAN", "has_tags", "R" ], [ "INSIDE MAN", "release_year", "2006" ], [ "LETTERS FROM IWO JIMA", "has_tags", "R" ], [ "LETTERS FROM IWO JIMA", "release_year", "2006" ], [ "LITTLE CHILDREN", "has_tags", "R" ], [ "LITTLE CHILDREN", "release_year", "2006" ], [ "LITTLE MISS SUNSHINE", "has_tags", "R" ], [ "LITTLE MISS SUNSHINE", "release_year", "2006" ], [ "LOS OLVIDADOS", "in_language", "SPANISH" ], [ "LUCKY NUMBER SLEVIN", "has_tags", "R" ], [ "LUCKY NUMBER SLEVIN", "release_year", "2006" ], [ "MIAMI VICE", "has_tags", "R" ], [ "MIAMI VICE", "release_year", "2006" ], [ "MY NAME IS JUANI", "in_language", "SPANISH" ], [ "MY NAME IS JUANI", "release_year", "2006" ], [ "PAN'S LABYRINTH", "has_tags", "R" ], [ "PAN'S LABYRINTH", "has_tags", "SPANISH" ], [ "PAN'S LABYRINTH", "in_language", "SPANISH" ], [ "PAN'S LABYRINTH", "release_year", "2006" ], [ "PAPRIKA", "has_tags", "R" ], [ "PAPRIKA", "release_year", "2006" ], [ "QUINCEAÑERA", "in_language", "SPANISH" ], [ "QUINCEAÑERA", "release_year", "2006" ], [ "RENAISSANCE", "has_tags", "R" ], [ "RENAISSANCE", "release_year", "2006" ], [ "RUNNING WITH SCISSORS", "has_tags", "R" ], [ "RUNNING WITH SCISSORS", "release_year", "2006" ], [ "SHERRYBABY", "has_tags", "R" ], [ "SHERRYBABY", "release_year", "2006" ], [ "SLITHER", "has_tags", "R" ], [ "SLITHER", "release_year", "2006" ], [ "SMOKIN' ACES", "has_tags", "R" ], [ "SMOKIN' ACES", "release_year", "2006" ], [ "TENACIOUS D IN THE PICK OF DESTINY", "has_tags", "R" ], [ "TENACIOUS D IN THE PICK OF DESTINY", "release_year", "2006" ], [ "THE BACKWOODS", "in_language", "SPANISH" ], [ "THE BACKWOODS", "release_year", "2006" ], [ "THE BLACK DAHLIA", "has_tags", "R" ], [ "THE BLACK DAHLIA", "release_year", "2006" ], [ "THE CONTRACT", "has_tags", "R" ], [ "THE CONTRACT", "release_year", "2006" ], [ "THE DA VINCI CODE", "has_tags", "R" ], [ "THE DA VINCI CODE", "release_year", "2006" ], [ "THE DEPARTED", "has_tags", "R" ], [ "THE DEPARTED", "release_year", "2006" ], [ "THE FALL", "has_tags", "R" ], [ "THE FALL", "release_year", "2006" ], [ "THE GOOD GERMAN", "has_tags", "R" ], [ "THE GOOD GERMAN", "release_year", "2006" ], [ "THE GOOD SHEPHERD", "has_tags", "R" ], [ "THE GOOD SHEPHERD", "release_year", "2006" ], [ "THE HAMMER", "has_tags", "R" ], [ "THE HOAX", "has_tags", "R" ], [ "THE HOAX", "release_year", "2006" ], [ "THE LAST KING OF SCOTLAND", "has_tags", "R" ], [ "THE LAST KING OF SCOTLAND", "release_year", "2006" ], [ "THE LIVES OF OTHERS", "has_tags", "R" ], [ "THE LIVES OF OTHERS", "release_year", "2006" ], [ "THE MACHINIST", "has_tags", "R" ], [ "THE MACHINIST", "in_language", "SPANISH" ], [ "THE NIGHT LISTENER", "has_tags", "R" ], [ "THE NIGHT LISTENER", "release_year", "2006" ], [ "THE ONE PERCENT", "release_year", "2006" ], [ "THE ORPHANAGE", "has_tags", "R" ], [ "THE ORPHANAGE", "has_tags", "SPANISH" ], [ "THE ORPHANAGE", "in_language", "SPANISH" ], [ "THE SCIENCE OF SLEEP", "has_tags", "R" ], [ "THE SCIENCE OF SLEEP", "release_year", "2006" ], [ "THE SECRET IN THEIR EYES", "has_tags", "R" ], [ "THE SECRET IN THEIR EYES", "has_tags", "SPANISH" ], [ "THE SECRET IN THEIR EYES", "in_language", "SPANISH" ], [ "TRANSSIBERIAN", "has_tags", "R" ], [ "TRANSSIBERIAN", "in_language", "SPANISH" ], [ "UNITED 93", "has_tags", "R" ], [ "UNITED 93", "release_year", "2006" ], [ "VANILLA SKY", "has_tags", "R" ], [ "VANILLA SKY", "in_language", "SPANISH" ], [ "VENUS", "has_tags", "R" ], [ "VENUS", "release_year", "2006" ], [ "VOLVER", "has_tags", "R" ], [ "VOLVER", "has_tags", "SPANISH" ], [ "VOLVER", "in_language", "SPANISH" ], [ "VOLVER", "release_year", "2006" ] ] }

metaqa

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 37224, 1990 19905, A TALE OF SPRINGTIME 28725, ANNE TEYSSÈDRE 1856, EUROPA EUROPA 22011, NIGHTBREED 10981, SERIAL KILLER src, edge_attr, dst 19905, release_year, 37224 19905, starred_actors, 28725 1856, release_year, 37224 22011, has_tags, 10981 22011, release_year, 37224 Question: For what reason are ANNE TEYSSÈDRE, EUROPA EUROPA, and SERIAL KILLER associated? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "ANNE TEYSSÈDRE", "EUROPA EUROPA", "SERIAL KILLER" ], "valid_edges": [ [ "A TALE OF SPRINGTIME", "release_year", "1990" ], [ "A TALE OF SPRINGTIME", "starred_actors", "ANNE TEYSSÈDRE" ], [ "EUROPA EUROPA", "release_year", "1990" ], [ "NIGHTBREED", "has_tags", "SERIAL KILLER" ], [ "NIGHTBREED", "release_year", "1990" ] ] }

metaqa

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 658, 2012 33645, BILL OBERST JR. 31778, BLACK SHEEP 29691, CHRIS FARLEY 5870, HORROR 9520, JODY LAMBERT 31312, PEOPLE LIKE US 24992, SCARY OR DIE src, edge_attr, dst 31778, has_genre, 5870 31778, has_tags, 29691 31778, starred_actors, 29691 31312, release_year, 658 31312, written_by, 9520 24992, has_genre, 5870 24992, release_year, 658 24992, starred_actors, 33645 Question: For what reason are BILL OBERST JR., CHRIS FARLEY, and JODY LAMBERT associated? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "BILL OBERST JR.", "CHRIS FARLEY", "JODY LAMBERT" ], "valid_edges": [ [ "BLACK SHEEP", "has_genre", "HORROR" ], [ "BLACK SHEEP", "has_tags", "CHRIS FARLEY" ], [ "BLACK SHEEP", "starred_actors", "CHRIS FARLEY" ], [ "PEOPLE LIKE US", "release_year", "2012" ], [ "PEOPLE LIKE US", "written_by", "JODY LAMBERT" ], [ "SCARY OR DIE", "has_genre", "HORROR" ], [ "SCARY OR DIE", "release_year", "2012" ], [ "SCARY OR DIE", "starred_actors", "BILL OBERST JR." ] ] }

metaqa

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 39641, ALONG CAME JONES 24276, CASANOVA BROWN 30463, COMEDY 29757, GARY COOPER 12557, HOW TO MARRY A MILLIONAIRE 34414, KARYN BOSNAK 35230, MICHAEL DUDIKOFF 11190, NUNNALLY JOHNSON 32766, RADIOACTIVE DREAMS 11290, TAKE HER, SHE'S MINE 29742, WHAT'S YOUR NUMBER? src, edge_attr, dst 39641, has_genre, 30463 39641, starred_actors, 29757 39641, written_by, 11190 24276, has_genre, 30463 24276, starred_actors, 29757 24276, written_by, 11190 12557, has_genre, 30463 12557, written_by, 11190 32766, has_genre, 30463 32766, starred_actors, 35230 11290, has_genre, 30463 11290, written_by, 11190 29742, has_genre, 30463 29742, written_by, 34414 Question: In what context are KARYN BOSNAK, MICHAEL DUDIKOFF, and NUNNALLY JOHNSON connected? Your output must be ONLY the PATH block.

graph_path

{ "style": "rule" }

{ "entities": [ "KARYN BOSNAK", "MICHAEL DUDIKOFF", "NUNNALLY JOHNSON" ], "valid_edges": [ [ "ALONG CAME JONES", "has_genre", "COMEDY" ], [ "ALONG CAME JONES", "starred_actors", "GARY COOPER" ], [ "ALONG CAME JONES", "written_by", "NUNNALLY JOHNSON" ], [ "CASANOVA BROWN", "has_genre", "COMEDY" ], [ "CASANOVA BROWN", "starred_actors", "GARY COOPER" ], [ "CASANOVA BROWN", "written_by", "NUNNALLY JOHNSON" ], [ "HOW TO MARRY A MILLIONAIRE", "has_genre", "COMEDY" ], [ "HOW TO MARRY A MILLIONAIRE", "written_by", "NUNNALLY JOHNSON" ], [ "RADIOACTIVE DREAMS", "has_genre", "COMEDY" ], [ "RADIOACTIVE DREAMS", "starred_actors", "MICHAEL DUDIKOFF" ], [ "TAKE HER, SHE'S MINE", "has_genre", "COMEDY" ], [ "TAKE HER, SHE'S MINE", "written_by", "NUNNALLY JOHNSON" ], [ "WHAT'S YOUR NUMBER?", "has_genre", "COMEDY" ], [ "WHAT'S YOUR NUMBER?", "written_by", "KARYN BOSNAK" ] ] }

Datasets:

tangyx
/

MetaQA_overall

TODO