Triple

T16387039
Position Surface form Disambiguated ID Type / Status
Subject Víctor Manuel Blanco E397949 entity
Predicate givenName P17 FINISHED
Object Víctor E211313 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: Víctor | Statement: [Víctor Manuel Blanco, givenName, Víctor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Víctor
Context triple: [Víctor Manuel Blanco, givenName, Víctor]
  • A. Víctor chosen
    Víctor is a given name commonly used in Spanish-speaking countries, derived from the Latin name Victor meaning "winner" or "conqueror."
  • B. Eduardo
    Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
  • C. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • D. Rodolfo
    Rodolfo is the original Italian given name of Rudolph Valentino, the iconic silent film actor and sex symbol of the 1920s.
  • E. Julián
    Julián is a given name of Latin origin, commonly used in Spanish-speaking countries as a variant of Julian.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3263e1534819081a6bf5006c611c5 completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00356ed47c819085aaf101459dd55c completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.