Triple

T20493199
Position Surface form Disambiguated ID Type / Status
Subject Mi corazón es tuyo E502799 entity
Predicate castMember P1668 FINISHED
Object Jorge Salinas 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: Jorge Salinas | Statement: [Mi corazón es tuyo, castMember, Jorge Salinas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jorge Salinas
Context triple: [Mi corazón es tuyo, castMember, Jorge Salinas]
  • A. Jorge Salinas chosen
    Jorge Salinas is a Mexican actor best known for his leading roles in popular telenovelas.
  • B. Héctor Valenzuela
    Héctor Valenzuela is a notable individual who bears the surname Valenzuela, recognized for contributing to the name’s prominence.
  • C. Sergio Valenzuela
    Sergio Valenzuela is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the Valenzuela surname.
  • D. Enrique Cerezo
    Enrique Cerezo is a Spanish film producer and businessman best known for serving as the long-time president of Atlético de Madrid football club.
  • E. Jorge Romo
    Jorge Romo is a notable individual recognized for achievements significant enough to be associated with the surname Romo.
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbb3bd081909351525208b41bba completed April 20, 2026, 9:38 p.m.
Created at: April 16, 2026, 11:35 a.m.