Triple

T23355477
Position Surface form Disambiguated ID Type / Status
Subject Sidney Bernstein E593034 entity
Predicate founded P104 FINISHED
Object Granada Television 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: Granada Television | Statement: [Sidney Bernstein, founded, Granada Television]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Granada Television
Context triple: [Sidney Bernstein, founded, 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 (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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a176b548190bf5a08bb2585344d completed April 29, 2026, 5:41 a.m.
Created at: April 17, 2026, 5:26 p.m.