Triple

T10946867
Position Surface form Disambiguated ID Type / Status
Subject Kevin Hart: Let Me Explain E258620 entity
Predicate distributor P1951 FINISHED
Object Codeblack Films E889268 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: Codeblack Films | Statement: [Kevin Hart: Let Me Explain, distributor, Codeblack Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Codeblack Films
Context triple: [Kevin Hart: Let Me Explain, distributor, Codeblack Films]
  • A. Codeblack Films chosen
    Codeblack Films is an American film and entertainment company known for producing and distributing movies and stand-up specials that primarily target African-American and urban audiences.
  • B. Surefire Film Productions
    Surefire Film Productions is a film production company best known for producing the 2005 Australian Western crime drama "The Proposition."
  • C. BorderLine Films
    BorderLine Films is an independent film production company known for producing dark, character-driven dramas and psychological thrillers.
  • D. Beyond Films
    Beyond Films is an Australian film distribution and production company known for handling a range of independent and international titles.
  • E. Rumble Films
    Rumble Films is an American film production company known for producing independent and genre-driven movies.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770eaaea08190b06e508600d8a305 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c3c885081908edcece772b2e759 completed April 17, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:23 p.m.