Triple

T8513198
Position Surface form Disambiguated ID Type / Status
Subject Ernie Colón E201507 entity
Predicate givenName P17 FINISHED
Object Ernesto E226995 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: Ernesto | Statement: [Ernie Colón, givenName, Ernesto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ernesto
Context triple: [Ernie Colón, givenName, Ernesto]
  • A. Ernesto chosen
    Ernesto is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • B. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • C. 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.
  • D. Gustavo
    Gustavo is a masculine given name commonly used in Spanish- and Portuguese-speaking countries, equivalent to the name Gustaf.
  • E. Humberto
    Humberto is a masculine given name of Spanish and Portuguese origin, commonly used in Iberian and Latin American 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60cdfcc819081a9be1229378ba0 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d2eef208190b505a64d01f656f4 completed April 2, 2026, 1:20 p.m.
Created at: March 30, 2026, 6:15 p.m.