Triple

T21811619
Position Surface form Disambiguated ID Type / Status
Subject ¡Ay, Carmela! (film) E538487 entity
Predicate productionCompany P490 FINISHED
Object TVE 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: TVE | Statement: [¡Ay, Carmela! (film), productionCompany, TVE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TVE
Context triple: [¡Ay, Carmela! (film), productionCompany, TVE]
  • A. TVE chosen
    TVE is Spain’s national public television broadcaster, operated by the state-owned corporation RTVE and known for producing and airing a wide range of news, cultural, and entertainment programming.
  • B. We TV
    We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
  • C. TVI
    TVI is a major Portuguese television network known for its popular entertainment, news, and drama programming.
  • D. TVH
    TVH is an Indian real estate and infrastructure development company known for sponsoring chess legend Viswanathan Anand.
  • E. TV-am
    TV-am was a British breakfast television franchise that broadcast on ITV in the 1980s and early 1990s, known for pioneering morning TV programming in the UK.
  • 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cc6cdf88190a31129acdc3bcec8 completed April 28, 2026, 9:24 a.m.
Created at: April 16, 2026, 6:53 p.m.