Triple

T12892864
Position Surface form Disambiguated ID Type / Status
Subject My Big Fat Greek Wedding E308410 entity
Predicate productionCompany P490 FINISHED
Object Gold Circle Films E821516 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: Gold Circle Films | Statement: [My Big Fat Greek Wedding, productionCompany, Gold Circle Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gold Circle Films
Context triple: [My Big Fat Greek Wedding, productionCompany, Gold Circle Films]
  • A. Gold Circle Films chosen
    Gold Circle Films is an American independent film production company known for producing commercially successful genre and romantic-comedy movies.
  • B. Goldcrest Films
    Goldcrest Films is a British film production company best known for backing acclaimed films such as the Oscar-winning "Chariots of Fire."
  • C. Dimension Films
    Dimension Films is an American film production and distribution company best known for releasing popular horror and genre franchises such as Scream and Scary Movie.
  • D. Integral Films
    Integral Films is a film production company known for working on projects such as David Cronenberg’s satirical drama "Maps to the Stars."
  • E. Echo Films
    Echo Films is a film and television production company co-founded by Jennifer Aniston, known for producing character-driven projects including the series "The Morning Show."
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971484aa08190a8adfafabe600903 completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af57a8b88190a3f15a3e9e02d492 completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:40 p.m.