Triple

T13481722
Position Surface form Disambiguated ID Type / Status
Subject Undisputed E318387 entity
Predicate productionCompany P490 FINISHED
Object Amen Ra Films E161333 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: Amen Ra Films | Statement: [Undisputed, productionCompany, Amen Ra Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amen Ra Films
Context triple: [Undisputed, productionCompany, Amen Ra Films]
  • A. Amen Ra Films chosen
    Amen Ra Films is a film production company founded by Wesley Snipes, best known for producing projects such as the action-horror sequel "Blade II."
  • B. Ombra Films
    Ombra Films is a film production company known for working on action and thriller movies, including the crime thriller "Run All Night."
  • C. Axon Films
    Axon Films is a film production company known for producing the movie "Milk."
  • D. Aquarius Films
    Aquarius Films is an Australian film and television production company known for creating distinctive, character-driven screen content for both local and international audiences.
  • E. Rhea Films
    Rhea Films is a film production company known for collaborating on independent, critically acclaimed movies such as the crime thriller "Good Time."
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf36c6b08190ba99400600e0b662 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f74635145c8190a42199fe4ed8c2a5 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.