Triple

T3405031
Position Surface form Disambiguated ID Type / Status
Subject Yukio Edano E71750 entity
Predicate nativeName P15 FINISHED
Object 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.
E355231 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: 枝野幸男 | Statement: [Yukio Edano, nativeName, 枝野幸男]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 枝野幸男
Context triple: [Yukio Edano, nativeName, 枝野幸男]
  • 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. 吉田 茂
    吉田 茂は、戦後日本の復興と独立回復を主導し、サンフランシスコ講和条約の締結などで知られる日本の政治家・第45・48–51代内閣総理大臣です。
  • D. 池田勇人
    池田勇人 was a Japanese politician who served as Prime Minister in the early 1960s and is best known for promoting rapid economic growth and the “income-doubling plan.”
  • E. Kunio Hatoyama
    Kunio Hatoyama was a Japanese politician and member of the influential Hatoyama political family who served in several ministerial posts, including as Minister of Internal Affairs and Communications.
  • 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: 枝野幸男
Triple: [Yukio Edano, nativeName, 枝野幸男]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 枝野幸男
Target entity description: 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.
  • 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. 吉田 茂
    吉田 茂は、戦後日本の復興と独立回復を主導し、サンフランシスコ講和条約の締結などで知られる日本の政治家・第45・48–51代内閣総理大臣です。
  • D. 池田勇人
    池田勇人 was a Japanese politician who served as Prime Minister in the early 1960s and is best known for promoting rapid economic growth and the “income-doubling plan.”
  • E. Kunio Hatoyama
    Kunio Hatoyama was a Japanese politician and member of the influential Hatoyama political family who served in several ministerial posts, including as Minister of Internal Affairs and Communications.
  • 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_69ad85aac4808190a092c9cc8911f584 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8eaa41c819095a4d51aec074649 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bd69f388190981da6454dfd4fb1 completed March 12, 2026, 11:27 p.m.
NEDg Description generation batch_69b34e486c3c81908e73c5b75baf119c completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b34fc420b08190baee678721b1b32c completed March 12, 2026, 11:44 p.m.
Created at: March 8, 2026, 3:15 p.m.