Triple

T5763682
Position Surface form Disambiguated ID Type / Status
Subject 麻生太郎 E127157 entity
Predicate ローマ字表記 P2508 FINISHED
Object Taro Aso E24395 NE FINISHED

How this triple was built (2 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: Taro Aso | Statement: [麻生太郎, ローマ字表記, Taro Aso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taro Aso
Context triple: [麻生太郎, ローマ字表記, Taro Aso]
  • A. Taro Aso chosen
    Taro Aso is a Japanese politician of the Liberal Democratic Party who has served as Prime Minister and long-time senior cabinet member, including as Deputy Prime Minister and Finance Minister.
  • B. Hulusi Akar
    Hulusi Akar is a Turkish general and politician who served as Chief of the General Staff and later as Turkey’s Minister of National Defense.
  • C. Takeo Doi
    Takeo Doi was a Japanese aeronautical engineer best known for designing several World War II fighter aircraft for the Imperial Japanese Army Air Service.
  • D. Hiroshi Satō
    Hiroshi Satō is a Japanese given name commonly borne by men across various professions, including business, sports, and the arts.
  • E. Natsuo Yamaguchi
    Natsuo Yamaguchi is a Japanese politician who serves as the longtime leader of the Komeito party, a key coalition partner in Japan’s national government.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c00833a3fc81908f4bc29ed011b7a6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0296e12d48190bd120879723bb6e8 completed March 22, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e59c2d0819091101dea300e1d7e completed March 22, 2026, 11:42 p.m.
Created at: March 22, 2026, 3:49 p.m.