Triple

T18834951
Position Surface form Disambiguated ID Type / Status
Subject Resistiré E460636 entity
Predicate productionCompany P490 FINISHED
Object Telefe Contenidos 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: Telefe Contenidos | Statement: [Resistiré, productionCompany, Telefe Contenidos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telefe Contenidos
Context triple: [Resistiré, productionCompany, Telefe Contenidos]
  • A. Telefe chosen
    Telefe is a major Argentine free-to-air television network known for broadcasting popular entertainment programs, telenovelas, and reality shows nationwide.
  • B. Canal 13
    Canal 13 is a major Chilean free-to-air television network known for its news, entertainment, and long-running programming.
  • C. Producciones Telecinco
    Producciones Telecinco was the original name of Telecinco Cinema, the film production arm associated with the Spanish television network Telecinco.
  • D. Atresmedia
    Atresmedia is a major Spanish media group that operates television channels, radio stations, and digital platforms, and is one of the country’s leading broadcasters.
  • E. Chilevisión
    Chilevisión is a major Chilean free-to-air television network known for its news, entertainment, and sports 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a99c1394819095c62eef040e552c completed April 20, 2026, 4:20 a.m.
Created at: April 10, 2026, 11:56 a.m.