Triple

T12031602
Position Surface form Disambiguated ID Type / Status
Subject What's Eating Gilbert Grape E286422 entity
Predicate producer P490 FINISHED
Object J&M Entertainment E286422 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: J&M Entertainment | Statement: [What's Eating Gilbert Grape, producer, J&M Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: J&M Entertainment
Context triple: [What's Eating Gilbert Grape, producer, J&M Entertainment]
  • A. J&M Entertainment chosen
    J&M Entertainment is a film production company best known for producing the 1993 drama "What's Eating Gilbert Grape."
  • B. Amaze Entertainment
    Amaze Entertainment was a video game development studio known for producing licensed titles and handheld adaptations of popular franchises.
  • C. Chameleon Entertainment
    Chameleon Entertainment is a music record label known for producing and distributing recordings for various artists across genres.
  • D. J & M Productions
    J & M Productions was the television production company associated with comedian Jack Benny, best known for producing his long-running series "The Jack Benny Program."
  • E. Big J Enterprises
    Big J Enterprises is a business venture established by entrepreneur and politician Gary Johnson.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f24490819092ec911d6ed8e24b completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d5fd0708190860201a4a8c6fe7c completed May 1, 2026, 12:32 p.m.
Created at: April 8, 2026, 9:47 p.m.