Triple

T14357577
Position Surface form Disambiguated ID Type / Status
Subject Tony Pérez E356010 entity
Predicate givenName P17 FINISHED
Object Atanacio E356010 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: Atanacio | Statement: [Tony Pérez, givenName, Atanacio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atanacio
Context triple: [Tony Pérez, givenName, Atanacio]
  • A. Atanacio chosen
    Atanacio is the Spanish given name of Hall of Fame Cuban-American baseball player Tony Pérez.
  • B. Hermenegildo
    Hermenegildo is a masculine given name of Spanish origin, historically associated with figures such as Mexican independence hero Hermenegildo Galeana.
  • C. Gregorio
    Gregorio is a masculine given name of Latin origin, commonly used in Spanish and Italian-speaking cultures and derived from the name Gregory.
  • D. Cipriano
    Cipriano is a masculine given name of Spanish origin, historically borne by figures such as the Protestant reformer and Bible translator Cipriano de Valera.
  • E. Toribio
    Toribio is the given name of Saint Turibius of Mogrovejo, a 16th-century Spanish missionary and Archbishop of Lima known for his major role in evangelizing and organizing the Catholic Church in colonial Peru.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f52ca7881908704eef20228aed3 completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c473fa48190866ab946971e971c completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:15 a.m.