Triple

T21531969
Position Surface form Disambiguated ID Type / Status
Subject Ademir de Menezes E531251 entity
Predicate givenName P17 FINISHED
Object Ademir 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: Ademir | Statement: [Ademir de Menezes, givenName, Ademir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ademir
Context triple: [Ademir de Menezes, givenName, Ademir]
  • A. Adalberto
    Adalberto is a masculine given name of Germanic origin, commonly used in Romance-language countries as a variant of Albert or Alberto.
  • B. Edvaldo
    Edvaldo is the given first name of the Brazilian footballer widely known by his nickname Vavá.
  • C. Ademir Marques de Menezes chosen
    Ademir Marques de Menezes was a renowned Brazilian footballer, best known as a prolific forward for Vasco da Gama and a standout player for Brazil in the 1950 FIFA World Cup.
  • D. Aloísio
    Aloísio is a masculine given name commonly used in Portuguese-speaking countries, borne by various notable figures in religion, sports, and public life.
  • E. Alberto Andrade
    Alberto Andrade was a prominent Peruvian politician best known for his influential tenure as mayor of Lima in the late 1990s and early 2000s, during which he implemented significant urban renewal and governance reforms.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0a0e7c8190bbb7ed5c4dfe33af completed April 26, 2026, 11:17 p.m.
Created at: April 16, 2026, 6:27 p.m.