Triple

T16620651
Position Surface form Disambiguated ID Type / Status
Subject Enrique Granados E403816 entity
Predicate notableWork P4 FINISHED
Object Goyescas (opera) E1225002 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: Goyescas (opera) | Statement: [Enrique Granados, notableWork, Goyescas (opera)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goyescas (opera)
Context triple: [Enrique Granados, notableWork, Goyescas (opera)]
  • A. Goyescas chosen
    Goyescas is a suite of highly virtuosic piano pieces by Spanish composer Enrique Granados, inspired by the paintings and atmosphere of Francisco Goya’s Spain.
  • B. Carmen
    Carmen is a pivotal character in the 1986 film "The Color of Money," serving as the savvy and manipulative girlfriend-manager of young pool hustler Vincent Lauria.
  • C. Carmen
    Carmen is a central character in the 2012 Spanish silent film "Blancanieves," a dark, flamenco-infused reimagining of the Snow White fairy tale.
  • D. Carmen
    Carmen is the central protagonist of the story "Abracadabra," around whom the plot and character dynamics revolve.
  • E. Carmen
    Carmen is a key character in the dark fantasy film "Pan’s Labyrinth," serving as the pregnant mother whose fragile health and marriage to a brutal captain frame the story’s wartime and familial tensions.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754d6b4c81908eab5210c386ea15 completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084b5afc081908d16f0b43fff20fc completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:17 a.m.