Triple

T16069299
Position Surface form Disambiguated ID Type / Status
Subject King Kong vs. Godzilla E389816 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: [King Kong vs. Godzilla, distributor, Toho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toho
Context triple: [King Kong vs. Godzilla, 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183bb98c88190ae4b5773358078be completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb8f12708190956f203a3e58e18b completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 4:57 a.m.