Triple

T3860310
Position Surface form Disambiguated ID Type / Status
Subject Society of the Snow E90117 entity
Predicate producer P490 FINISHED
Object Belén Atienza E431587 NE FINISHED

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: [Society of the Snow, producer, Belén Atienza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belén Atienza
Context triple: [Society of the Snow, 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. Ángela Jeria
    Ángela Jeria was a Chilean archaeologist and human rights advocate best known as the mother of former Chilean president Michelle Bachelet.
  • D. Pilar Roldán
    Pilar Roldán is a Mexican fencer best known for taking the Olympic Oath for athletes and winning a silver medal in women's foil at the 1968 Mexico City Games.
  • E. Pilar Juncosa
    Pilar Juncosa was the wife of Catalan surrealist painter Joan Miró and a key supporter and manager of his artistic legacy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec212a1c8190aba6311630c3fd3e completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4ca9164819088b261d148e0d379 completed March 14, 2026, 10:44 p.m.
Created at: March 9, 2026, 3:19 p.m.