Triple

T1261093
Position Surface form Disambiguated ID Type / Status
Subject Alejo Carpentier E12501 entity
Predicate birthName P65 FINISHED
Object Alejo Carpentier y Valmont E12501 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: Alejo Carpentier y Valmont | Statement: [Alejo Carpentier, birthName, Alejo Carpentier y Valmont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alejo Carpentier y Valmont
Context triple: [Alejo Carpentier, birthName, Alejo Carpentier y Valmont]
  • A. Gaston Vidal
    Gaston Vidal was a French sports official and politician known for delivering the Olympic Oath at the 1924 Summer Olympics in Paris.
  • B. Vidal
    Vidal is a river flowing through the Occitanie region in southern France.
  • C. Alejo Carpentier chosen
    Alejo Carpentier was a Cuban novelist, essayist, and musicologist, renowned as a key figure in Latin American literature and an early pioneer of magical realism.
  • D. Manuel Puig
    Manuel Puig was an Argentine novelist and screenwriter known for his innovative, pop-culture-infused narrative style and works such as "Kiss of the Spider Woman."
  • E. Maxime Maufra
    Maxime Maufra was a French landscape and marine painter associated with the Pont-Aven School and known for his post-Impressionist style and vivid use of color.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfc64e648190b9c4f980eb8168aa completed March 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93d044bc819091fd0cfa7a957640 completed March 7, 2026, 9:08 p.m.
Created at: March 1, 2026, 7:50 p.m.