Triple

T7996209
Position Surface form Disambiguated ID Type / Status
Subject Nicolás de Carvajal y Lancaster E186131 entity
Predicate givenName P17 FINISHED
Object Nicolás E77168 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: Nicolás | Statement: [Nicolás de Carvajal y Lancaster, givenName, Nicolás]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicolás
Context triple: [Nicolás de Carvajal y Lancaster, givenName, Nicolás]
  • A. Nicolás chosen
    Nicolás is a masculine given name of Greek origin, commonly used in Spanish-speaking countries and derived from the name Nicholas, meaning "victory of the people."
  • B. Felipe Fermín Paúl
    Felipe Fermín Paúl was a Venezuelan statesman and independence leader who helped shape the country’s break from Spanish colonial rule in the early 19th century.
  • C. Mariano
    Mariano is a masculine given name of Spanish and Portuguese origin, commonly used in various Spanish-speaking and Latin cultures.
  • D. Nicolas Guillermo
    Nicolas Guillermo is a member of the Dutch royal family, known as the son of Prince Friso of Orange-Nassau and Princess Mabel.
  • E. Enrique
    Enrique is a Spanish given name equivalent to the English name Henry.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c97968481908d261b3f0bd6b8e6 completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc568ac4e88190b63b4d57c3bd3205 completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:17 p.m.