Triple

T15823969
Position Surface form Disambiguated ID Type / Status
Subject The Ruins E383685 entity
Predicate productionCompany P490 FINISHED
Object Red Hour Films E349895 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: Red Hour Films | Statement: [The Ruins, productionCompany, Red Hour Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Hour Films
Context triple: [The Ruins, productionCompany, Red Hour Films]
  • A. Red Hour Productions chosen
    Red Hour Productions is a film and television production company founded by Ben Stiller, known for producing satirical and offbeat comedies.
  • B. Radian Films
    Radian Films is a film production company known for producing the documentary feature "Lenny Cooke," which chronicles the rise and fall of a once-promising high school basketball star.
  • C. Greenpoint Films
    Greenpoint Films is a film production company best known for producing the acclaimed period drama "Enchanted April."
  • D. Octagon Films
    Octagon Films is an Irish film and television production company known for working on international projects such as the historical fantasy series "Camelot."
  • E. Cinelou Films
    Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e5f46748190acb46cc482501307 completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff999bba548190a39adc2d0e11c605 completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.