Triple

T17437007
Position Surface form Disambiguated ID Type / Status
Subject The Quiet Duel E424024 entity
Predicate distributor P1951 FINISHED
Object Daiei Film 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: Daiei Film | Statement: [The Quiet Duel, distributor, Daiei Film]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daiei Film
Context triple: [The Quiet Duel, distributor, Daiei Film]
  • A. Daiei Film chosen
    Daiei Film was a major Japanese film studio best known for producing classic kaiju and genre films, including the Gamera series.
  • B. Shochiku
    Shochiku is a major Japanese film and theater production and distribution company, historically known for its influential role in the development of Japanese cinema.
  • C. Tōei
    Tōei is a small rural town in eastern Aichi Prefecture, Japan, known for its mountainous terrain and traditional hot spring and forestry industries.
  • D. Toei
    Toei is the public transportation operator run by the Tokyo Metropolitan Government, managing subway lines, buses, and other transit services in Tokyo.
  • E. Nippon Herald Films
    Nippon Herald Films was a Japanese film production and distribution company known for handling both domestic and international titles, including influential works by major directors.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ff468a08190bdc5cebb8162b4ba completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 5:46 a.m.