Triple

T20754325
Position Surface form Disambiguated ID Type / Status
Subject Mexican Texas E510806 entity
Predicate notableEmpresario P141366 FINISHED
Object Martín De León 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: Martín De León | Statement: [Mexican Texas, notableEmpresario, Martín De León]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martín De León
Context triple: [Mexican Texas, notableEmpresario, Martín De León]
  • A. Martín De León chosen
    Martín De León was a Mexican empresario and rancher who established one of the earliest Tejano colonies in Texas and played a key role in the region’s early settlement.
  • B. Juan Escovedo
    Juan Escovedo is an American percussionist and member of the renowned Escovedo musical family, known for his work in Latin, jazz, and pop music.
  • C. Isidro Fabela
    Isidro Fabela is a municipality in the State of Mexico, Mexico, named after the prominent Mexican diplomat, writer, and politician Isidro Fabela.
  • D. José Gutiérrez
    José Gutiérrez was the architect responsible for designing the historic Hospicio Cabañas, a prominent neoclassical complex in Guadalajara, Mexico.
  • E. Pedro Muzquiz
    Pedro Muzquiz is the passionate yet conflicted love interest of Tita in Laura Esquivel’s novel "Like Water for Chocolate," whose forbidden romance drives much of the story’s emotional tension.
  • 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_69e0b4c909ec8190b05987f1639513f6 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c22e0d288190ba924423af59d70d completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:34 p.m.