Triple

T15651976
Position Surface form Disambiguated ID Type / Status
Subject 森喜朗 E376333 entity
Predicate 前任の内閣総理大臣 P4358 FINISHED
Object 小渕恵三
小渕恵三は、自民党所属で平成期に在任し、景気対策や「平成の徳政令」とも呼ばれた金融再生策などに取り組んだ日本の内閣総理大臣である。
E1169206 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 小渕恵三 | Statement: [森喜朗, 前任の内閣総理大臣, 小渕恵三]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 小渕恵三
Context triple: [森喜朗, 前任の内閣総理大臣, 小渕恵三]
  • A. 田辺元
    田辺元は、日本の京都学派を代表する哲学者であり、京都大学で教鞭をとりつつ独自の弁証法哲学を展開した人物である。
  • B. 佐藤栄作
    佐藤栄作は、昭和期に長期政権を担い日韓基本条約の締結や沖縄返還を進め、ノーベル平和賞も受賞した日本の内閣総理大臣である。
  • C. Kōtoku Satō
    Kōtoku Satō was a senior Imperial Japanese Army officer and lieutenant general best known for his command of the 31st Division during the Burma Campaign in World War II.
  • D. Eisaku Inoue
    Eisaku Inoue is a Japanese politician who served as a member of the House of Representatives and held various posts within the Liberal Democratic Party.
  • E. Eisaku Tomioka
    Eisaku Tomioka is a Japanese screenwriter best known for his extensive work on anime series, including contributions to popular franchises like Pokémon and Fairy Tail.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 小渕恵三
Triple: [森喜朗, 前任の内閣総理大臣, 小渕恵三]
Generated description
小渕恵三は、自民党所属で平成期に在任し、景気対策や「平成の徳政令」とも呼ばれた金融再生策などに取り組んだ日本の内閣総理大臣である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 小渕恵三
Target entity description: 小渕恵三は、自民党所属で平成期に在任し、景気対策や「平成の徳政令」とも呼ばれた金融再生策などに取り組んだ日本の内閣総理大臣である。
  • A. 田辺元
    田辺元は、日本の京都学派を代表する哲学者であり、京都大学で教鞭をとりつつ独自の弁証法哲学を展開した人物である。
  • B. 佐藤栄作
    佐藤栄作は、昭和期に長期政権を担い日韓基本条約の締結や沖縄返還を進め、ノーベル平和賞も受賞した日本の内閣総理大臣である。
  • C. Kōtoku Satō
    Kōtoku Satō was a senior Imperial Japanese Army officer and lieutenant general best known for his command of the 31st Division during the Burma Campaign in World War II.
  • D. Eisaku Inoue
    Eisaku Inoue is a Japanese politician who served as a member of the House of Representatives and held various posts within the Liberal Democratic Party.
  • E. Eisaku Tomioka
    Eisaku Tomioka is a Japanese screenwriter best known for his extensive work on anime series, including contributions to popular franchises like Pokémon and Fairy Tail.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eeed2d48190a7a8a618d90012d0 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6797954c8190ac05ee3db634efa7 completed May 9, 2026, 4:57 p.m.
NEDg Description generation batch_69ff68481ff881909c23ae20bd3a9ff8 completed May 9, 2026, 5 p.m.
NED2 Entity disambiguation (via description) batch_69ff6912d86c8190a30f4d36ed98fc0f completed May 9, 2026, 5:04 p.m.
Created at: April 10, 2026, 4:15 a.m.