Triple

T20359110
Position Surface form Disambiguated ID Type / Status
Subject Durante la tormenta E496727 entity
Predicate castMember P1668 FINISHED
Object Nora Navas 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: Nora Navas | Statement: [Durante la tormenta, castMember, Nora Navas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nora Navas
Context triple: [Durante la tormenta, castMember, Nora Navas]
  • A. Nora Navas chosen
    Nora Navas is a Spanish actress known for her acclaimed performances in film and television, including award-winning roles in contemporary Spanish cinema.
  • B. Marta Navarro
    Marta Navarro is a personal name that may refer to multiple individuals across different fields, such as sports, arts, or public life, rather than a single widely recognized figure.
  • C. Silvia Navarro
    Silvia Navarro is a Mexican actress best known for her leading roles in popular telenovelas and television dramas.
  • D. Miriam Gómez
    Miriam Gómez is a Cuban actress and writer best known as the longtime partner and literary collaborator of novelist Guillermo Cabrera Infante.
  • E. Jennifer Hermoso
    Jennifer Hermoso is a Spanish professional footballer widely regarded as one of the country’s greatest forwards, known for her prolific goal-scoring and key role in Spain’s rise in women’s football.
  • 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678573fc481908bf257e6ed41d750 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:25 a.m.