Triple

T12414044
Position Surface form Disambiguated ID Type / Status
Subject 民進党 E296589 entity
Predicate hasNotableMember P304 FINISHED
Object 野田佳彦
野田佳彦は、民主党政権下で内閣総理大臣を務めた日本の政治家です。
E992976 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: 野田佳彦 | Statement: [民進党, hasNotableMember, 野田佳彦]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 野田佳彦
Context triple: [民進党, hasNotableMember, 野田佳彦]
  • A. 河野太郎
    河野太郎 is a prominent Japanese politician known for serving in key cabinet posts such as foreign minister and defense minister, and for his active presence in domestic reform and digital policy.
  • B. 麻生太郎
    麻生太郎は、日本の自由民主党所属の政治家であり、第92代内閣総理大臣や副総理・財務大臣などを歴任した人物である。
  • C. 岸田 文雄
    岸田文雄は、自民党総裁として日本の第100代内閣総理大臣を務める政治家です。
  • D. 枝野幸男
    枝野幸男 is a Japanese politician who served as Chief Cabinet Secretary and later became the founding leader of the Constitutional Democratic Party of Japan.
  • E. 森喜朗
    森喜朗は、2000年から2001年まで内閣総理大臣を務めた日本の政治家です。
  • 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: 野田佳彦
Triple: [民進党, hasNotableMember, 野田佳彦]
Generated description
野田佳彦は、民主党政権下で内閣総理大臣を務めた日本の政治家です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 野田佳彦
Target entity description: 野田佳彦は、民主党政権下で内閣総理大臣を務めた日本の政治家です。
  • A. 河野太郎
    河野太郎 is a prominent Japanese politician known for serving in key cabinet posts such as foreign minister and defense minister, and for his active presence in domestic reform and digital policy.
  • B. 麻生太郎
    麻生太郎は、日本の自由民主党所属の政治家であり、第92代内閣総理大臣や副総理・財務大臣などを歴任した人物である。
  • C. 岸田 文雄
    岸田文雄は、自民党総裁として日本の第100代内閣総理大臣を務める政治家です。
  • D. 枝野幸男
    枝野幸男 is a Japanese politician who served as Chief Cabinet Secretary and later became the founding leader of the Constitutional Democratic Party of Japan.
  • E. 森喜朗
    森喜朗は、2000年から2001年まで内閣総理大臣を務めた日本の政治家です。
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6c4f6c8190bc99d3f7b64205c3 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ea44a808190af2c5a6633120814 completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f661369d608190b7b4f8b2bcf6e9b3 completed May 2, 2026, 8:40 p.m.
NED2 Entity disambiguation (via description) batch_69f661b369fc81909ced522d7057589e completed May 2, 2026, 8:42 p.m.
Created at: April 8, 2026, 9:55 p.m.