Triple

T17816694
Position Surface form Disambiguated ID Type / Status
Subject Gamera vs. Viras E444863 entity
Predicate screenwriter P2831 FINISHED
Object Nisan Takahashi NE NERFINISHED

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: Nisan Takahashi | Statement: [Gamera vs. Viras, screenwriter, Nisan Takahashi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nisan Takahashi
Context triple: [Gamera vs. Viras, screenwriter, Nisan Takahashi]
  • A. Nisan Takahashi chosen
    Nisan Takahashi was a Japanese screenwriter best known for his work on kaiju films, including entries in the Gamera series.
  • B. Takako Yamazaki
    Takako Yamazaki is a Japanese given name borne by various notable individuals in fields such as entertainment, sports, and the arts.
  • C. Takako Tanaka
    Takako Tanaka is a Japanese given name bearer, likely a woman of Japanese origin, sharing the common female name "Takako" and the widespread surname "Tanaka."
  • D. Takako Yoshida
    Takako Yoshida is a Japanese given name borne by various individuals, including notable figures in fields such as sports and entertainment.
  • E. Kaho Shimada
    Kaho Shimada is a Japanese actress and singer best known internationally for her acclaimed stage performances in musical theatre, particularly in productions of Les Misérables.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887f7d048190b6d813b9f0fab3e7 completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.