Triple

T22769289
Position Surface form Disambiguated ID Type / Status
Subject Zeppotron E563210 entity
Predicate partOf P40 FINISHED
Object Banijay UK 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: Banijay UK | Statement: [Zeppotron, partOf, Banijay UK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banijay UK
Context triple: [Zeppotron, partOf, Banijay UK]
  • A. Banijay Group chosen
    Banijay Group is a major international television production and distribution company known for creating and owning a wide range of popular entertainment formats and scripted series worldwide.
  • B. Banijay Rights
    Banijay Rights is the global distribution arm of Banijay, handling international sales and licensing of television and digital content.
  • C. Endemol Shine Group
    Endemol Shine Group was a major global television production and distribution company known for creating and licensing popular reality, scripted, and game show formats across numerous international markets.
  • D. Endemol UK
    Endemol UK is a British television production company best known for creating and producing popular reality and entertainment formats for major UK broadcasters.
  • E. Endemol USA
    Endemol USA is an American television production company known for creating and adapting popular reality, game, and scripted series for U.S. audiences.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b59c9cc8190a6edd68f3209a672 completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:27 p.m.