Triple

T22885345
Position Surface form Disambiguated ID Type / Status
Subject Ubiratan Pereira Maciel E567588 entity
Predicate familyName P18 FINISHED
Object Maciel E718970 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: Maciel | Statement: [Ubiratan Pereira Maciel, familyName, Maciel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maciel
Context triple: [Ubiratan Pereira Maciel, familyName, Maciel]
  • A. Maciel chosen
    Maciel is a former professional footballer best known for his career in Portuguese football, including a notable spell with União de Leiria.
  • B. Messias Targino
    Messias Targino is a small municipality in the state of Rio Grande do Norte in Brazil’s Northeast region.
  • C. Raimundo
    Raimundo is a masculine given name of Spanish and Portuguese origin, related to the name Ramón and ultimately derived from the Germanic name Raymond.
  • D. Reinaldo
    Reinaldo is a masculine given name of Spanish and Portuguese origin, equivalent to "Reynaldo" or "Reinald" in English.
  • E. Marcelo
    Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17fc0cdb081908107d40069d9735f completed April 29, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bb9bafb9c81909e061c4d2997439a completed May 19, 2026, 1:15 a.m.
Created at: April 17, 2026, 3:40 p.m.