Triple

T16016674
Position Surface form Disambiguated ID Type / Status
Subject 山口那津男 E388484 entity
Predicate 前任の公明党代表 P121373 FINISHED
Object 太田昭宏
太田昭宏は、日本の政治家であり、公明党の元代表として国土交通大臣などを歴任した人物である。
E1190299 NE FINISHED

How this triple was built (5 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: 太田昭宏 | Statement: [山口那津男, 前任の公明党代表, 太田昭宏]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 太田昭宏
Context triple: [山口那津男, 前任の公明党代表, 太田昭宏]
  • A. 佐藤信介
    佐藤信介は、戦後日本の保守政治を主導し第56・57代内閣総理大臣を務めた政治家・岸信介の本名である。
  • B. 吉田遠志
    吉田遠志 was a prominent 20th-century Japanese woodblock print artist known for his landscape and animal prints that blended traditional ukiyo-e techniques with modern sensibilities.
  • C. 近藤浩治
    近藤浩治は、『スーパーマリオブラザーズ』や『ゼルダの伝説』シリーズなどで知られる日本の著名なゲーム音楽作曲家です。
  • D. 吉田健一
    吉田健一は、戦後日本を代表する首相・吉田茂の長男であり、英文学者・評論家として知られる文学者である。
  • E. 豊田泰久
    豊田泰久 is a renowned Japanese acoustician best known for designing the acoustics of major concert halls and performance venues around the world.
  • 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: 太田昭宏
Triple: [山口那津男, 前任の公明党代表, 太田昭宏]
Generated description
太田昭宏は、日本の政治家であり、公明党の元代表として国土交通大臣などを歴任した人物である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 太田昭宏
Target entity description: 太田昭宏は、日本の政治家であり、公明党の元代表として国土交通大臣などを歴任した人物である。
  • A. 佐藤信介
    佐藤信介は、戦後日本の保守政治を主導し第56・57代内閣総理大臣を務めた政治家・岸信介の本名である。
  • B. 吉田遠志
    吉田遠志 was a prominent 20th-century Japanese woodblock print artist known for his landscape and animal prints that blended traditional ukiyo-e techniques with modern sensibilities.
  • C. 近藤浩治
    近藤浩治は、『スーパーマリオブラザーズ』や『ゼルダの伝説』シリーズなどで知られる日本の著名なゲーム音楽作曲家です。
  • D. 吉田健一
    吉田健一は、戦後日本を代表する首相・吉田茂の長男であり、英文学者・評論家として知られる文学者である。
  • E. 豊田泰久
    豊田泰久 is a renowned Japanese acoustician best known for designing the acoustics of major concert halls and performance venues around the world.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 前任の公明党代表
Context triple: [山口那津男, 前任の公明党代表, 太田昭宏]
  • A. incumbentPremierBeforeElection
    Indicates that the referenced person was serving as premier immediately prior to the specified election.
  • B. previousRepresentativeParty
    Indicates that a given party previously served as the representative party for another entity before the current representative was in place.
  • C. 前職(首相直前)
    Indicates the position or role a person held immediately before becoming prime minister.
  • D. predecessorHeadOfStateRepresentative
    Indicates that one entity previously served as the head-of-state representative immediately before the other entity in a given office or role.
  • E. predecessorAsPrimeMinister
    Indicates that one person previously held the office of Prime Minister immediately before another person.
  • F. None of above. chosen

Provenance (7 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1858a00888190b8505071575dc56f completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf2a4b0c819094f629c65cf8f880 completed May 10, 2026, 12:19 a.m.
NEDg Description generation batch_69ffcfb02b208190b961b525a29b02a5 completed May 10, 2026, 12:22 a.m.
NED2 Entity disambiguation (via description) batch_69ffd8e7b94c819093bc23288900df33 completed May 10, 2026, 1:01 a.m.
PD Predicate disambiguation batch_69e1826a4f7c8190aba6d4f1075141b0 completed April 17, 2026, 12:44 a.m.
PDg Predicate description generation batch_69e185879c10819080a18e24969b5a6d completed April 17, 2026, 12:57 a.m.
Created at: April 10, 2026, 4:55 a.m.