Triple

T21891691
Position Surface form Disambiguated ID Type / Status
Subject Keystone Pictures E540564 entity
Predicate collaboratedWith P435 FINISHED
Object Buddy 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: Buddy Films | Statement: [Keystone Pictures, collaboratedWith, Buddy Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buddy Films
Context triple: [Keystone Pictures, collaboratedWith, Buddy Films]
  • A. Buddy Films chosen
    Buddy Films is a film production company best known for producing the family-friendly "Air Bud" movie series featuring a sports-playing golden retriever.
  • B. Blossom Films
    Blossom Films is a film and television production company founded by actress Nicole Kidman, known for developing high-profile, character-driven projects.
  • C. Harpo Films
    Harpo Films is the film and television production company founded by Oprah Winfrey, known for producing socially conscious and character-driven projects.
  • D. Peccadillo Pictures
    Peccadillo Pictures is a UK-based independent film distributor known for releasing art-house, LGBTQ+, and world cinema titles.
  • E. Benaroya Pictures
    Benaroya Pictures is an independent film production company known for financing and producing a range of critically acclaimed and commercially successful feature films.
  • 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_69e0c47a95908190ae3e19b716accb3d completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc3727c8190b4d5d5a44aa2e55e completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:06 p.m.