Triple

T22092358
Position Surface form Disambiguated ID Type / Status
Subject Parker E545941 entity
Predicate productionCompany P490 FINISHED
Object Current Entertainment 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: Current Entertainment | Statement: [Parker, productionCompany, Current Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Current Entertainment
Context triple: [Parker, productionCompany, Current Entertainment]
  • A. Current Entertainment chosen
    Current Entertainment is a film and television production company known for producing action and thriller projects such as the movie "Killer Elite."
  • B. Yahoo Entertainment
    Yahoo Entertainment is a digital media platform offering news, videos, and coverage of movies, TV, music, and celebrity culture.
  • C. CelebrityCulture
    CelebrityCulture is the aspect of modern society centered on the public fascination with, media coverage of, and social influence exerted by famous individuals.
  • D. Next Entertainment World
    Next Entertainment World is a South Korean film production and distribution company known for backing and releasing numerous commercially successful and critically acclaimed Korean movies.
  • E. Films and Entertainment
    Films and Entertainment is an award category recognizing outstanding science communication through movies, television, and other entertainment media.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e6b1d881909bf0f4a52199354c completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.