Triple

T16546921
Position Surface form Disambiguated ID Type / Status
Subject Rodan (1956 film) E401966 entity
Predicate distributor P1951 FINISHED
Object Toho E224773 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: Toho | Statement: [Rodan (1956 film), distributor, Toho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toho
Context triple: [Rodan (1956 film), distributor, Toho]
  • A. Toho chosen
    Toho is a major Japanese film production and distribution company best known worldwide for creating and owning the Godzilla franchise.
  • 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. Daiei Film
    Daiei Film was a major Japanese film studio best known for producing classic kaiju and genre films, including the Gamera series.
  • D. 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.
  • E. Toho Cinemas
    Toho Cinemas is a major Japanese movie theater chain known for operating multiplex cinemas across Japan, often showcasing both domestic films and international blockbusters.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fbe3fb48190bad143b50dc73c7e completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00758f97708190a289da0bd5d5c254 completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 5:15 a.m.