Triple

T18046361
Position Surface form Disambiguated ID Type / Status
Subject Alfonso Cervera E431784 entity
Predicate name P16 FINISHED
Object Alfonso Cervera 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: Alfonso Cervera | Statement: [Alfonso Cervera, name, Alfonso Cervera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alfonso Cervera
Context triple: [Alfonso Cervera, name, Alfonso Cervera]
  • A. Alfonso Cervera chosen
    Alfonso Cervera is a notable individual who shares the surname Cervera, recognized enough to be specifically cited as a bearer of the name.
  • B. Vicente Cervera
    Vicente Cervera is a Spanish poet and literary scholar known for his contributions to contemporary Spanish literature and criticism.
  • C. José Cervera Pery
    José Cervera Pery was a Spanish naval officer and historian known for his contributions to the study and dissemination of Spanish maritime history.
  • D. Enrique Riera
    Enrique Riera was an architect best known for designing Guatemala City’s iconic National Palace of Culture, a landmark of the country’s political and cultural life.
  • E. Avelino Cañizares
    Avelino Cañizares was a Cuban infielder who played in the Negro Leagues, notably contributing his talents to the Cleveland Buckeyes.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bff202088190ae971879348e2294 completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 10:25 a.m.