Triple

T19965542
Position Surface form Disambiguated ID Type / Status
Subject Pascual Madoz E479922 entity
Predicate givenName P17 FINISHED
Object Pascual 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: Pascual | Statement: [Pascual Madoz, givenName, Pascual]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pascual
Context triple: [Pascual Madoz, givenName, Pascual]
  • A. Pascual chosen
    Pascual is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • B. Gaspar
    Gaspar is the given name of Gaspar de Guzmán, Count-Duke of Olivares, a powerful 17th-century Spanish royal favorite and statesman under King Philip IV.
  • C. Gaspar
    Gaspar is a municipality in the Vale do Itajaí region of Santa Catarina, Brazil, known for its textile industry and strong German-Brazilian cultural heritage.
  • D. Ignacio
    Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • E. Ignacio
    Ignacio is a small unincorporated community in Marin County, California, located near the city of Novato.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc4f47c8190a721f5e488150d81 completed April 20, 2026, 5 p.m.
Created at: April 10, 2026, 1:54 p.m.