Triple

T8328616
Position Surface form Disambiguated ID Type / Status
Subject Yukiya Amano E195019 entity
Predicate name P16 FINISHED
Object Yukiya Amano E195019 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: Yukiya Amano | Statement: [Yukiya Amano, name, Yukiya Amano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yukiya Amano
Context triple: [Yukiya Amano, name, Yukiya Amano]
  • A. Yukiya Amano chosen
    Yukiya Amano was a Japanese diplomat who served as Director General of the International Atomic Energy Agency, overseeing global nuclear non-proliferation and safety efforts.
  • B. Koichi Wakata
    Koichi Wakata is a Japanese aerospace engineer and veteran astronaut who has flown multiple long-duration missions and served as the first Japanese commander of the International Space Station.
  • C. Hiroko Satō
    Hiroko Satō was the wife of Eisaku Satō, the Japanese prime minister and Nobel Peace Prize laureate.
  • D. Erika Koike
    Erika Koike is a professional makeup artist best known for her brief, highly publicized marriage to actor Nicolas Cage.
  • E. Haruka Satō
    Haruka Satō is a Japanese individual notable enough to be recognized as a bearer of the common surname Satō.
  • 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_69ca82e87f2c8190bdb71ee29dfc642d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f8243288190b1ae74d69395fc91 completed March 31, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95c2c36481909793e9cd0c28168a completed April 1, 2026, 10:01 p.m.
Created at: March 30, 2026, 5:56 p.m.