Triple

T22308421
Position Surface form Disambiguated ID Type / Status
Subject Tomás Sánchez de la Barrera y Garza E551447 entity
Predicate givenName P17 FINISHED
Object Tomás 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: Tomás | Statement: [Tomás Sánchez de la Barrera y Garza, givenName, Tomás]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tomás
Context triple: [Tomás Sánchez de la Barrera y Garza, givenName, Tomás]
  • A. Timoteo
    Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
  • B. Tomas chosen
    Tomas is a masculine given name commonly used in various European and Latin American countries, often equivalent to "Thomas" in English.
  • C. Julián
    Julián is a given name of Latin origin, commonly used in Spanish-speaking countries as a variant of Julian.
  • D. Alejo
    Alejo is a Spanish given name commonly used as a short form of Alejandro.
  • E. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1574c8a248190bf5eef5be78381fd completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.