Triple

T13815259
Position Surface form Disambiguated ID Type / Status
Subject Vilhelm E331997 entity
Predicate relatedName P3889 FINISHED
Object Guillermo E11442 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: Guillermo | Statement: [Vilhelm, relatedName, Guillermo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guillermo
Context triple: [Vilhelm, relatedName, Guillermo]
  • A. Guillermo chosen
    Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
  • B. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • C. Enrique
    Enrique is a Spanish given name equivalent to the English name Henry.
  • D. Basilio
    Basilio is the King of Poland in Calderón de la Barca’s play "La vida es sueño," whose fatalistic decisions about his son’s destiny drive the central conflict of the drama.
  • E. Basilio
    Basilio is the witty, lovestruck barber and male lead in the ballet Don Quixote, renowned for his virtuosic, bravura dancing and comic charm.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02806e148190996f58934e66d7d8 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1ba309c81908d83ba7efc663787 completed May 6, 2026, 8:16 p.m.
Created at: April 9, 2026, 10:12 p.m.