Triple

T20053708
Position Surface form Disambiguated ID Type / Status
Subject Mónica Gaztambide E499269 entity
Predicate networkOfOriginalBroadcast P833 FINISHED
Object Antena 3 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: Antena 3 | Statement: [Mónica Gaztambide, networkOfOriginalBroadcast, Antena 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antena 3
Context triple: [Mónica Gaztambide, networkOfOriginalBroadcast, Antena 3]
  • A. Antena 3 chosen
    Antena 3 is a major Spanish free-to-air television channel known for broadcasting popular series and entertainment programs.
  • B. RTVE
    RTVE (Radiotelevisión Española) is Spain’s national public broadcasting corporation, operating multiple television, radio, and online services.
  • C. Granada Television
    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.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66331c7488190840d43792ff09977 completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:38 p.m.