Triple

T1392737
Position Surface form Disambiguated ID Type / Status
Subject Senichi Hoshino E29996 entity
Predicate name P16 FINISHED
Object Senichi Hoshino E29996 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: Senichi Hoshino | Statement: [Senichi Hoshino, name, Senichi Hoshino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Senichi Hoshino
Context triple: [Senichi Hoshino, name, Senichi Hoshino]
  • A. Senichi Hoshino chosen
    Senichi Hoshino was a prominent Japanese baseball manager and former pitcher, best known for revitalizing multiple Nippon Professional Baseball teams and leading them to championship success.
  • B. Makoto Uchida
    Makoto Uchida is a Japanese automotive executive who serves as the chief executive officer of Nissan Motor Co.
  • C. Makoto Kobayashi
    Makoto Kobayashi is a Japanese theoretical physicist renowned for his work on CP violation in the Standard Model, for which he shared the 2008 Nobel Prize in Physics.
  • D. Muraji Shimomura
    Muraji Shimomura was a Japanese architect known for his role in designing major governmental structures, most notably contributing to the creation of Japan’s National Diet Building.
  • E. Makoto Yamashita
    Makoto Yamashita is a Japanese politician serving as the governor of Nara Prefecture.
  • 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c360a7f08190ab7e903764b06fdf completed March 1, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f83bf9248190821580e4d1e76e4d completed March 11, 2026, 11:18 p.m.
Created at: March 1, 2026, 7:59 p.m.