Triple

T21993593
Position Surface form Disambiguated ID Type / Status
Subject The Invitation (2015 film) E543147 entity
Predicate productionCompany P490 FINISHED
Object Gamechanger 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: Gamechanger Films | Statement: [The Invitation (2015 film), productionCompany, Gamechanger Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gamechanger Films
Context triple: [The Invitation (2015 film), productionCompany, Gamechanger Films]
  • A. Gamechanger Films chosen
    Gamechanger Films is a production company known for financing and producing independent feature films, often with a focus on supporting underrepresented voices in filmmaking.
  • B. Greenpoint Films
    Greenpoint Films is a film production company best known for producing the acclaimed period drama "Enchanted April."
  • C. Sketch Films
    Sketch Films is a television production company best known for its work on the supernatural drama series "Sleepy Hollow."
  • D. Katalyst Films
    Katalyst Films is a production company co-founded by Ashton Kutcher, best known for creating and producing popular prank and reality television shows and digital media content.
  • E. Catalyst Films
    Catalyst Films is a film production company known for producing the documentary "The King of Kong: A Fistful of Quarters."
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1270f77fc8190aadcc02760d65ac0 completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:17 p.m.