Triple

T22573779
Position Surface form Disambiguated ID Type / Status
Subject LOL (2006 film) E544339 entity
Predicate distributor P1951 FINISHED
Object Benten Films 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: Benten Films | Statement: [LOL (2006 film), distributor, Benten Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benten Films
Context triple: [LOL (2006 film), distributor, Benten Films]
  • A. Benten Films chosen
    Benten Films is an independent film distribution company known for releasing critically acclaimed, often unconventional arthouse and indie films.
  • B. Ruby Films
    Ruby Films is a British film and television production company known for producing high-quality period dramas and literary adaptations.
  • C. 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.
  • D. JNP Films
    JNP Films is an Australian television production company best known for creating and producing the long-running drama series "A Country Practice."
  • E. Itami Productions
    Itami Productions is a Japanese film production company best known for producing director Juzo Itami’s acclaimed satirical comedies, including the cult classic "Tampopo."
  • 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15fea683c81908fbf9f171eed3341 completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.