Triple

T20359091
Position Surface form Disambiguated ID Type / Status
Subject Durante la tormenta E496727 entity
Predicate producer P490 FINISHED
Object Belén Atienza 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: Belén Atienza | Statement: [Durante la tormenta, producer, Belén Atienza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belén Atienza
Context triple: [Durante la tormenta, producer, Belén Atienza]
  • A. Belén Atienza chosen
    Belén Atienza is a Spanish film producer known for her work on acclaimed international films such as "The Impossible" and collaborations with director J.A. Bayona.
  • B. Belén Rueda
    Belén Rueda is a Spanish actress best known internationally for her leading roles in acclaimed horror and thriller films such as "The Orphanage" and "The Sea Inside."
  • C. María Arjona
    María Arjona is a notable individual who carries the Arjona surname, recognized as one of its distinguished bearers.
  • D. Paula García
    Paula García is a central character in the Spanish television series "La verdad," involved in a complex mystery surrounding identity and hidden pasts.
  • E. Luz Corral
    Luz Corral was the wife of Mexican revolutionary leader Pancho Villa and later became known for preserving and promoting his historical legacy.
  • 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.