Triple

T23140256
Position Surface form Disambiguated ID Type / Status
Subject Beastly E577440 entity
Predicate productionCompany P490 FINISHED
Object CBS 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: CBS Films | Statement: [Beastly, productionCompany, CBS Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CBS Films
Context triple: [Beastly, productionCompany, CBS Films]
  • A. CBS Films chosen
    CBS Films is an American film production and distribution company owned by CBS Corporation, known for releasing a range of mid-budget feature films.
  • B. Columbia Pictures
    Columbia Pictures is a historic American film studio that rose to prominence during Hollywood’s Golden Age and became one of the industry’s leading producers and distributors of motion pictures.
  • C. Paramount Pictures
    Paramount Pictures is a major American film studio and distributor known for producing and releasing numerous influential Hollywood movies across multiple genres.
  • D. CBS Studios
    CBS Studios is a major American television production company responsible for creating and distributing many of CBS’s scripted series and other programming.
  • E. Buena Vista Pictures
    Buena Vista Pictures was the theatrical distribution arm of The Walt Disney Company, responsible for releasing many of Disney’s live-action and animated 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ec922b481908084eee6a95aef83 completed April 29, 2026, 4:53 a.m.
Created at: April 17, 2026, 4 p.m.