Triple

T12413979
Position Surface form Disambiguated ID Type / Status
Subject Party of Hope E296588 entity
Predicate chairperson P377 FINISHED
Object Yuriko Koike E981173 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: Yuriko Koike | Statement: [Party of Hope, chairperson, Yuriko Koike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuriko Koike
Context triple: [Party of Hope, chairperson, Yuriko Koike]
  • A. Yuriko Koike chosen
    Yuriko Koike is a Japanese politician and former Tokyo governor known for her reformist agenda and for founding the national political party Party of Hope.
  • B. Erika Koike
    Erika Koike is a professional makeup artist best known for her brief, highly publicized marriage to actor Nicolas Cage.
  • C. Yuko Kishida
    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.
  • D. Haruka Satō
    Haruka Satō is a Japanese individual notable enough to be recognized as a bearer of the common surname Satō.
  • E. Miyuki Hatoyama
    Miyuki Hatoyama is a Japanese former actress and television personality known for her unconventional, spiritual views and high-profile role as the wife of former Prime Minister Yukio Hatoyama.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6c4f6c8190bc99d3f7b64205c3 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b962d1c81909c2119890d921648 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:55 p.m.