Triple

T11768528
Position Surface form Disambiguated ID Type / Status
Subject Nikolaos E279837 entity
Predicate hasVariant P455 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: [Nikolaos, hasVariant, Nicolás]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicolás
Context triple: [Nikolaos, hasVariant, 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a526979c8190ad2089997906855b completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09075aba8819082434a43473025bd completed April 28, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:41 p.m.