Triple

T10682406
Position Surface form Disambiguated ID Type / Status
Subject Cake (2014 film) E251789 entity
Predicate distributor P1951 FINISHED
Object Cinelou Releasing E878903 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: Cinelou Releasing | Statement: [Cake (2014 film), distributor, Cinelou Releasing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cinelou Releasing
Context triple: [Cake (2014 film), distributor, Cinelou Releasing]
  • A. Cinelou Films chosen
    Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
  • B. Overture Films
    Overture Films was an American independent film production and distribution company active in the late 2000s, known for releasing a range of mid-budget and specialty films.
  • C. Vistar Films
    Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
  • D. Ombra Films
    Ombra Films is a film production company known for working on action and thriller movies, including the crime thriller "Run All Night."
  • E. Bloom Films
    Bloom Films is a film production company known for producing the historical comedy-drama movie "Elvis & Nixon."
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fcc30be481909922844b539b622d completed April 9, 2026, 1:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998c6fb4881908a8e13912c405ec8 completed April 11, 2026, 12:41 a.m.
Created at: April 8, 2026, 9:10 p.m.