Triple

T6322802
Position Surface form Disambiguated ID Type / Status
Subject Infante Antonio Pascual of Spain E141783 entity
Predicate givenName P17 FINISHED
Object Pascual E104717 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: Pascual | Statement: [Infante Antonio Pascual of Spain, givenName, Pascual]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pascual
Context triple: [Infante Antonio Pascual of Spain, 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. Ignacio
    Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • D. Fermín
    Fermín is a Spanish given name, historically borne by figures such as missionaries and saints in the Spanish-speaking world.
  • E. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • 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_69c008d201748190917e69c41ba3f978 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064e38f1c81909c7e90b520602bae completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c669d97d348190bca19013edbf436c completed March 27, 2026, 11:28 a.m.
Created at: March 22, 2026, 4:29 p.m.