Triple

T17320426
Position Surface form Disambiguated ID Type / Status
Subject University Challenge E420544 entity
Predicate productionCompany P490 FINISHED
Object Granada Television E150799 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: Granada Television | Statement: [University Challenge, productionCompany, Granada Television]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Granada Television
Context triple: [University Challenge, productionCompany, Granada Television]
  • A. Granada Television chosen
    Granada Television was a major British television production and broadcasting company, best known for creating influential programs such as Coronation Street and for serving the ITV network in the north of England.
  • B. RTVE
    RTVE (Radiotelevisión Española) is Spain’s national public broadcasting corporation, operating multiple television, radio, and online services.
  • C. Antena 3
    Antena 3 is a major Spanish free-to-air television channel known for broadcasting popular series and entertainment programs.
  • D. Telefe
    Telefe is a major Argentine free-to-air television network known for broadcasting popular entertainment programs, telenovelas, and reality shows nationwide.
  • E. Canal 13
    Canal 13 is a major Chilean free-to-air television network known for its news, entertainment, and long-running programming.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439a066b481908e8aee1885809eba completed April 19, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c483e988190a481b4c487f79329 completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:43 a.m.