Triple

T20492989
Position Surface form Disambiguated ID Type / Status
Subject Cuando seas mía E502793 entity
Predicate characterPortrayedBy P1507 FINISHED
Object Teresa Suárez;Silvia Navarro 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: Teresa Suárez;Silvia Navarro | Statement: [Cuando seas mía, characterPortrayedBy, Teresa Suárez;Silvia Navarro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teresa Suárez;Silvia Navarro
Context triple: [Cuando seas mía, characterPortrayedBy, Teresa Suárez;Silvia Navarro]
  • A. Silvia Navarro chosen
    Silvia Navarro is a Mexican actress best known for her leading roles in popular telenovelas and television dramas.
  • B. Susi Sánchez
    Susi Sánchez is a Spanish actress known for her work in film, television, and theater, often appearing in critically acclaimed Spanish-language productions.
  • C. Teresa Barba
    Teresa Barba was the wife and close companion of renowned Catalan painter and sculptor Antoni Tàpies.
  • D. Silvia Pérez
    Silvia Pérez is an actress known for her role in the Argentine film "Tetro," directed by Francis Ford Coppola.
  • E. Sofía Landaluce y Melgarejo
    Sofía Landaluce y Melgarejo is a Spanish aristocrat best known as the wife of Prince Pedro, Duke of Calabria, a claimant to the defunct throne of the Kingdom of the Two Sicilies.
  • 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.