Triple

T22785661
Position Surface form Disambiguated ID Type / Status
Subject First Lady of Japan E563957 entity
Predicate notableOfficeHolder P5750 FINISHED
Object Yuko Kishida NE NERFINISHED

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: Yuko Kishida | Statement: [First Lady of Japan, notableOfficeHolder, Yuko Kishida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuko Kishida
Context triple: [First Lady of Japan, notableOfficeHolder, Yuko Kishida]
  • A. Yuko Kishida chosen
    Yuko Kishida is the wife of Japanese Prime Minister Fumio Kishida and serves as Japan’s First Lady, engaging in various diplomatic and public activities.
  • B. Fumio Kishida
    Fumio Kishida is a Japanese politician and leader of the Liberal Democratic Party who serves as the Prime Minister of Japan.
  • C. Chikako Aso
    Chikako Aso is the wife of Japanese politician and former Prime Minister Taro Aso.
  • D. Nobuko Aso
    Nobuko Aso is a Japanese public figure best known as a member of the prominent Aso political family.
  • E. Tsutako Nakasone
    Tsutako Nakasone was the wife of former Japanese Prime Minister Yasuhiro Nakasone and a member of a prominent Japanese political family.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c30b4dc8190a5e23f4ce7feb300 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 3:29 p.m.