Triple

T14765810
Position Surface form Disambiguated ID Type / Status
Subject Bad Words E346991 entity
Predicate productionCompany P490 FINISHED
Object Aggregate Films E927968 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: Aggregate Films | Statement: [Bad Words, productionCompany, Aggregate Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aggregate Films
Context triple: [Bad Words, productionCompany, Aggregate Films]
  • A. Aggregate Films chosen
    Aggregate Films is a film and television production company founded by actor Jason Bateman, known for producing projects such as the crime drama series "Ozark."
  • B. Division Films
    Division Films is an independent film production company best known for producing the 2012 crime drama "Spring Breakers."
  • C. Element Films
    Element Films is a film production company known for working on acclaimed independent and politically themed cinema such as Ken Loach’s "The Wind That Shakes the Barley."
  • D. Cascade Films
    Cascade Films is a film production company known for developing and producing independent feature films.
  • E. Icon Films
    Icon Films is a British television production company known for creating popular factual and wildlife documentary series, including the hit show "River Monsters."
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f576c881909da70627f5897c94 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b1ff0c81908d5dffbaf86c3ca3 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:30 a.m.