Triple

T22759878
Position Surface form Disambiguated ID Type / Status
Subject Ana Villa E562955 entity
Predicate child P120 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: [Ana Villa, child, Alba Flores]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alba Flores
Context triple: [Ana Villa, child, 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. Inma Cuevas
    Inma Cuevas is a Spanish actress best known for her role in the prison drama series "Locked Up" ("Vis a Vis") and her work in Spanish television and theater.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a7b4fe88190b1da25b78f046d13 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:26 p.m.