Triple

T6125843
Position Surface form Disambiguated ID Type / Status
Subject What Makes a Family E136592 entity
Predicate productionCompany P490 FINISHED
Object Barwood Films E544182 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: Barwood Films | Statement: [What Makes a Family, productionCompany, Barwood Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barwood Films
Context triple: [What Makes a Family, productionCompany, Barwood Films]
  • A. Barwood Films chosen
    Barwood Films is a film production company co-founded by Barbra Streisand, known for producing several of her starring and directing projects.
  • B. Wardour Films
    Wardour Films was a British film distribution company active in the early 20th century, known for handling the release of numerous silent and early sound films in the United Kingdom.
  • C. Silverwood Films
    Silverwood Films is an independent film production company known for backing critically acclaimed dramas such as "Blue Valentine."
  • D. Ferndale Films
    Ferndale Films is an Irish film production company best known for producing acclaimed dramas such as the Oscar-winning "My Left Foot."
  • E. Linson Films
    Linson Films is a film production company founded by producer Art Linson, known for backing notable movies such as "Fight Club."
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c28dbbc8190a0a0c20ec794e81a completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135bd8d3881909873d2a063b3aecc completed March 23, 2026, 12:44 p.m.
Created at: March 22, 2026, 4:14 p.m.