Triple

T14324903
Position Surface form Disambiguated ID Type / Status
Subject Kabuki-za Theatre E355189 entity
Predicate mainTenant P18754 FINISHED
Object Shochiku Company E747494 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: Shochiku Company | Statement: [Kabuki-za Theatre, mainTenant, Shochiku Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shochiku Company
Context triple: [Kabuki-za Theatre, mainTenant, Shochiku Company]
  • A. Shochiku chosen
    Shochiku is a major Japanese film and theater production and distribution company, historically known for its influential role in the development of Japanese cinema.
  • B. Tōei
    Tōei is a small rural town in eastern Aichi Prefecture, Japan, known for its mountainous terrain and traditional hot spring and forestry industries.
  • C. Toei
    Toei is the public transportation operator run by the Tokyo Metropolitan Government, managing subway lines, buses, and other transit services in Tokyo.
  • D. Daiei Film
    Daiei Film was a major Japanese film studio best known for producing classic kaiju and genre films, including the Gamera series.
  • E. Kurosawa Productions
    Kurosawa Productions is a Japanese film and television production company associated with the legacy of acclaimed director Akira Kurosawa.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de883e6a288190b6c22f630a1eef3c completed April 14, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5506cfb08190b4754e16b83331bd completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:13 a.m.