Triple

T13696043
Position Surface form Disambiguated ID Type / Status
Subject Cats & Dogs E328386 entity
Predicate productionCompany P490 FINISHED
Object NPV Entertainment E369323 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: NPV Entertainment | Statement: [Cats & Dogs, productionCompany, NPV Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NPV Entertainment
Context triple: [Cats & Dogs, productionCompany, NPV Entertainment]
  • A. NPV Entertainment chosen
    NPV Entertainment is a film production company best known for producing the 2001 crime thriller "Training Day."
  • B. Imagine Entertainment
    Imagine Entertainment is a prominent American film and television production company known for producing acclaimed movies and series across a wide range of genres.
  • C. Machine Entertainment Group
    Machine Entertainment Group is a Chicago-based independent record label and management company known for working with hip-hop artists such as G Herbo.
  • D. Evolution Entertainment
    Evolution Entertainment is a film and television production company best known for producing the "Saw" horror franchise.
  • E. Everest Entertainment
    Everest Entertainment is a prominent Indian film production and distribution company best known for producing successful and acclaimed Marathi-language movies.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8773f388190b2413b1e05fd5fd7 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79453395481909d651cb3a128f23d completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.