Triple

T8959917
Position Surface form Disambiguated ID Type / Status
Subject Don Payne E213974 entity
Predicate employer P7 FINISHED
Object Gracie Films E308422 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: Gracie Films | Statement: [Don Payne, employer, Gracie Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gracie Films
Context triple: [Don Payne, employer, Gracie Films]
  • A. Gracie Films chosen
    Gracie Films is an American film and television production company best known for producing the long-running animated series "The Simpsons."
  • 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. Magnolia Pictures
    Magnolia Pictures is an American independent film distribution company known for releasing a wide range of arthouse, documentary, and foreign films.
  • D. See-Saw Films
    See-Saw Films is a British-Australian film and television production company known for acclaimed works such as the Academy Award–winning drama "The King’s Speech."
  • E. 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.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6746fbf88190aba658b4b9c2e4b0 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc946a2f88190b7cd0fca67d31dfd completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 7 p.m.