Triple

T6056138
Position Surface form Disambiguated ID Type / Status
Subject Yoko Abe E134913 entity
Predicate hasRelative P367 FINISHED
Object Hironobu Abe E640073 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: Hironobu Abe | Statement: [Yoko Abe, hasRelative, Hironobu Abe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hironobu Abe
Context triple: [Yoko Abe, hasRelative, Hironobu Abe]
  • A. Hironobu Abe chosen
    Hironobu Abe is a Japanese figure known primarily as the son of politician Yoko Abe and a member of the prominent Abe political family.
  • B. Yoshihiro Ushijima
    Yoshihiro Ushijima is a Japanese individual notable enough to be recognized as a prominent bearer of the Ushijima surname.
  • C. Shigeru Umebayashi
    Shigeru Umebayashi is a Japanese composer best known internationally for his evocative film scores, particularly in collaborations with directors like Wong Kar-wai and Zhang Yimou.
  • D. Hideo Ohno
    Hideo Ohno is a Japanese physicist renowned for his pioneering work in spintronics and semiconductor physics.
  • E. Iwao Nitta
    Iwao Nitta was a Japanese chemist and academic known for mentoring future Nobel laureate Akira Suzuki during his doctoral studies.
  • 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0570bf01c8190a8b2c25b7805d403 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a2ff2f2481908865e83841fc28d4 completed March 28, 2026, 9:44 a.m.
Created at: March 22, 2026, 4:09 p.m.