Triple

T11003884
Position Surface form Disambiguated ID Type / Status
Subject Alexander Bustamante E260065 entity
Predicate familyName P18 FINISHED
Object Bustamante E151913 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: Bustamante | Statement: [Alexander Bustamante, familyName, Bustamante]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bustamante
Context triple: [Alexander Bustamante, familyName, Bustamante]
  • A. Bustamante chosen
    Bustamante is a Spanish-origin surname borne by numerous notable figures in politics, arts, and sports across the Spanish-speaking world.
  • B. Hidalgo Moya
    Hidalgo Moya was a 20th-century architect known for his modernist designs in Britain, including notable institutional and cultural buildings.
  • C. Francisco Bustamante
    Francisco Bustamante is a Filipino professional pool player renowned for his powerful break, precision shot-making, and multiple world championship titles.
  • D. Ramírez Vázquez
    Ramírez Vázquez is the surname of Pedro Ramírez Vázquez, a prominent Mexican architect and designer known for major 20th-century public works in Mexico.
  • E. Mariano
    Mariano is a masculine given name of Spanish and Portuguese origin, commonly used in various Spanish-speaking and Latin cultures.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797553c408190b8dca21250243479 completed April 9, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3454cb6008190b24b128d507f2cf4 completed April 18, 2026, 8:48 a.m.
Created at: April 8, 2026, 9:25 p.m.