Triple

T23023256
Position Surface form Disambiguated ID Type / Status
Subject Over Her Dead Body E573225 entity
Predicate productionCompany P490 FINISHED
Object Gold Circle 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: Gold Circle Films | Statement: [Over Her Dead Body, productionCompany, Gold Circle Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gold Circle Films
Context triple: [Over Her Dead Body, 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. Arcola Pictures
    Arcola Pictures is a film production company best known for producing the 1967 crime drama "Tony Rome" starring Frank Sinatra.
  • C. Goldcrest Films
    Goldcrest Films is a British film production company best known for backing acclaimed films such as the Oscar-winning "Chariots of Fire."
  • D. 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.
  • E. 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."
  • 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1847b86688190b678d0d09ecd3c3d completed April 29, 2026, 4:09 a.m.
Created at: April 17, 2026, 3:52 p.m.