Triple

T5101815
Position Surface form Disambiguated ID Type / Status
Subject Antena 3 E114995 entity
Predicate notableProgram P4 FINISHED
Object Antena 3 Noticias E114995 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: Antena 3 Noticias | Statement: [Antena 3, notableProgram, Antena 3 Noticias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antena 3 Noticias
Context triple: [Antena 3, notableProgram, Antena 3 Noticias]
  • 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. Canal 13
    Canal 13 is a major Chilean free-to-air television network known for its news, entertainment, and long-running programming.
  • E. ANO TV-Novosti
    ANO TV-Novosti is a Russian state-funded media organization that operates the international television network RT (formerly Russia Today).
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7584ed408190a6d1086588f24faa completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba8d24388190882b9933a2a798c4 completed March 21, 2026, 3:34 p.m.
Created at: March 20, 2026, 1:41 p.m.