Triple

T20355502
Position Surface form Disambiguated ID Type / Status
Subject Vicent E496634 entity
Predicate hasVariant P455 FINISHED
Object Vicente 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: Vicente | Statement: [Vicent, hasVariant, Vicente]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vicente
Context triple: [Vicent, hasVariant, Vicente]
  • A. Vicente chosen
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • B. Alfrédo
    Alfrédo is a given name, likely a variant or cognate of "Alfred" or "Alfredo," used as a personal male first name in various languages.
  • C. Ramón
    Ramón 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. Elicio
    Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
  • 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67853f10881908ecde94036804a8a completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:25 a.m.