Triple

T10017918
Position Surface form Disambiguated ID Type / Status
Subject Kang E199540 entity
Predicate productionCompany P490 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: [Kang, productionCompany, Gracie Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gracie Films
Context triple: [Kang, productionCompany, 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd4de1588190a89ed575cff0b8c9 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26aa319508190b85b5a5f78603b6a completed April 5, 2026, 1:58 p.m.
Created at: March 30, 2026, 8:53 p.m.