Triple

T7815756
Position Surface form Disambiguated ID Type / Status
Subject Vicente Fox E181003 entity
Predicate givenName P17 FINISHED
Object Vicente E115514 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: Vicente | Statement: [Vicente Fox, givenName, Vicente]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vicente
Context triple: [Vicente Fox, givenName, 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. Ignacio
    Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf96d1f088190a1d005ffb019afe9 completed March 30, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb1488a2e48190924f44b46f925d87 completed March 31, 2026, 12:25 a.m.
Created at: March 30, 2026, 4:39 p.m.