Triple

T8126636
Position Surface form Disambiguated ID Type / Status
Subject Juan E189744 entity
Predicate commonCompoundNameElement P81613 FINISHED
Object Juan Manuel E508505 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: Juan Manuel | Statement: [Juan, commonCompoundNameElement, Juan Manuel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juan Manuel
Context triple: [Juan, commonCompoundNameElement, Juan Manuel]
  • A. Juan Manuel chosen
    Juan Manuel is a Spanish given name commonly used as a compound first name in Spanish-speaking countries.
  • B. Juan Manuel Vaca
    Juan Manuel Vaca was a 19th-century Californio landowner and ranchero whose holdings and influence led to the city of Vacaville, California bearing his name.
  • C. Federico Santa María Carrera
    Federico Santa María Carrera was a Chilean businessman and philanthropist whose fortune and vision led to the creation of the Federico Santa María Technical University in Valparaíso.
  • D. Jorge Mas
    Jorge Mas is an American businessman and sports executive best known as the managing owner and president of Major League Soccer club Inter Miami CF.
  • E. Esteban Vicente
    Esteban Vicente was a Spanish-born American abstract expressionist painter and collage artist associated with the New York School.
  • 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_69ca82bb74848190afb1f18640632c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb7266bc148190984060b7b95effb5 completed March 31, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced20909481909e44182f1a8fb2a1 completed April 1, 2026, 10:02 a.m.
Created at: March 30, 2026, 5:34 p.m.