Triple

T4123391
Position Surface form Disambiguated ID Type / Status
Subject Godzilla E92665 entity
Predicate portrayedBy P1507 FINISHED
Object Haruo Nakajima E689633 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: Haruo Nakajima | Statement: [Godzilla, portrayedBy, Haruo Nakajima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haruo Nakajima
Context triple: [Godzilla, portrayedBy, Haruo Nakajima]
  • A. Haruo Nakajima chosen
    Haruo Nakajima was a Japanese actor and stunt performer best known for originating the role of Godzilla and portraying numerous kaiju in Toho’s classic monster films.
  • B. Shigeo Nagashima
    Shigeo Nagashima is a legendary Japanese baseball player and manager, widely regarded as one of the greatest figures in Nippon Professional Baseball history.
  • C. Koichi Satō
    Koichi Satō is a prominent Japanese actor known for his versatile performances in film, television, and theater.
  • D. Koichi Tanaka
    Koichi Tanaka is a Japanese engineer and Nobel Prize–winning chemist renowned for his pioneering work in mass spectrometry, particularly soft laser desorption ionization.
  • E. 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.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af020728a08190a50a16b40690cbce completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9379e5898819083bece0d129fed5c completed March 29, 2026, 2:30 p.m.
Created at: March 9, 2026, 3:41 p.m.