Triple

T2929228
Position Surface form Disambiguated ID Type / Status
Subject Norwegian Wood (2010 film) E78918 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: [Norwegian Wood (2010 film), distributor, Toho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toho
Context triple: [Norwegian Wood (2010 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. Daiei
    Daiei is a Japanese retail corporation that formerly owned the professional baseball team now known as the Fukuoka SoftBank Hawks.
  • C. Imagine Films
    Imagine Films is a film production division associated with the American entertainment company Imagine Entertainment, known for developing and producing motion pictures.
  • D. Triangle Film Corporation
    Triangle Film Corporation was an early 20th-century American motion picture studio known for producing silent films during the 1910s.
  • E. Universal Studios Japan
    Universal Studios Japan is a major theme park in Osaka featuring attractions based on popular films and franchises, and is one of the most visited amusement parks in the world.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98002da4819098d6448eebcafad4 completed March 8, 2026, 3:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0866c24c88190af6c5246b5c78c70 completed March 10, 2026, 9 p.m.
Created at: March 8, 2026, 2:55 p.m.