Triple

T21292039
Position Surface form Disambiguated ID Type / Status
Subject Manuel de la Pezuela E524817 entity
Predicate familyName P18 FINISHED
Object de la Pezuela 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: de la Pezuela | Statement: [Manuel de la Pezuela, familyName, de la Pezuela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de la Pezuela
Context triple: [Manuel de la Pezuela, familyName, de la Pezuela]
  • A. de la Pezuela chosen
    De la Pezuela is a Spanish noble family name most notably associated with Joaquín de la Pezuela, a 19th-century military officer and Viceroy of Peru.
  • B. de Perales
    de Perales is a Spanish-language surname most notably associated with Cuban-American beautician and entrepreneur Mirta de Perales.
  • C. Juslapeña
    Juslapeña is a small municipality in northern Spain’s Navarre region, situated within the rural area surrounding the city of Pamplona.
  • D. La Peineta
    La Peineta was a former athletics and football stadium in Madrid that served as the precursor to the modern Cívitas Metropolitano, home of Atlético Madrid.
  • E. Pulileño
    A Pulileño is a resident or native of Pulilan, a municipality in the province of Bulacan in the Philippines.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73855e5d08190aed5e285247b4e23 completed April 21, 2026, 8:41 a.m.
Created at: April 16, 2026, 4:04 p.m.