Triple

T6945972
Position Surface form Disambiguated ID Type / Status
Subject Juan Manuel Márquez E160799 entity
Predicate givenName P17 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 Manuel Márquez, givenName, Juan Manuel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juan Manuel
Context triple: [Juan Manuel Márquez, givenName, 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_69c68850419081909fb426b8f5a304c7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da8a65c48190b6862fc60f6c7f7a completed March 27, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7753f1fe08190a734e371db4d1d38 completed March 28, 2026, 6:29 a.m.
Created at: March 27, 2026, 2:28 p.m.