Triple

T4967080
Position Surface form Disambiguated ID Type / Status
Subject Giants E111554 entity
Predicate notablePlayer P304 FINISHED
Object Shigeo Nagashima E208741 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: Shigeo Nagashima | Statement: [Giants, notablePlayer, Shigeo Nagashima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shigeo Nagashima
Context triple: [Giants, notablePlayer, Shigeo Nagashima]
  • A. Shigeo Nagashima chosen
    Shigeo Nagashima is a legendary Japanese baseball player and manager, widely regarded as one of the greatest figures in Nippon Professional Baseball history.
  • B. Kazuhiko Nishijima
    Kazuhiko Nishijima was a Japanese theoretical physicist best known for co-formulating the Gell-Mann–Nishijima formula, which helped classify subatomic particles and advance the quark model in particle physics.
  • C. Koichi Satō
    Koichi Satō is a prominent Japanese actor known for his versatile performances in film, television, and theater.
  • D. Koichi Hayashida
    Koichi Hayashida is a Japanese video game designer best known for his prominent work on Nintendo’s Super Mario series, particularly the 3D platformer entries.
  • E. Shigeo Hirose
    Shigeo Hirose is a pioneering Japanese roboticist renowned for his innovative work in robot mechanisms and design, particularly in snake-like and walking robots.
  • 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_69bd4419393c819086319a6fe4bf8542 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71f8f550819099235511ca271e2d completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf275f49f48190ad92d5aaebaac4d0 completed April 3, 2026, 2:35 a.m.
Created at: March 20, 2026, 1:32 p.m.