Triple

T22163397
Position Surface form Disambiguated ID Type / Status
Subject Saray Vargas E547727 entity
Predicate portrayedBy P1507 FINISHED
Object Alba Flores 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: Alba Flores | Statement: [Saray Vargas, portrayedBy, Alba Flores]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alba Flores
Context triple: [Saray Vargas, portrayedBy, Alba Flores]
  • A. Alba Flores chosen
    Alba Flores is a Spanish actress best known internationally for her role as Nairobi in the television series "Money Heist" (La Casa de Papel).
  • B. Flora Mezaros
    Flora Mezaros is the spirited, idealistic young woman who serves as the central protagonist in the musical "Flora the Red Menace," navigating love, politics, and artistic ambition in 1930s New York.
  • C. Pilar Castro
    Pilar Castro is a Spanish actress known for her work in film, television, and theater.
  • D. Marta Sánchez
    Marta Sánchez is a Spanish pop singer best known as the former lead vocalist of the band Olé Olé and for her successful solo career in Latin pop music.
  • E. Xiana Martínez
    Xiana Martínez is the daughter of Spanish football manager and former professional player Luis Enrique.
  • 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a2f2f90819080b5bb73a6052c24 completed April 28, 2026, 9:44 p.m.
Created at: April 16, 2026, 8:34 p.m.