Triple

T3290107
Position Surface form Disambiguated ID Type / Status
Subject Joaquim de Almeida E69079 entity
Predicate givenName P17 FINISHED
Object Joaquim E153256 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: Joaquim | Statement: [Joaquim de Almeida, givenName, Joaquim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joaquim
Context triple: [Joaquim de Almeida, givenName, Joaquim]
  • A. Joaquim chosen
    Joaquim is a given name used in certain languages as a variant of Saint Joachim, traditionally regarded as the father of the Virgin Mary in Christian tradition.
  • B. José Oliveira
    José Oliveira is a voice actor best known for his role in the classic Disney animated film "The Three Caballeros."
  • C. Diogo
    Diogo is a masculine given name, commonly used in Portuguese-speaking countries and related to the name Diego.
  • D. Rafael Carmoega
    Rafael Carmoega was a prominent Puerto Rican architect known for designing major public buildings and shaping early 20th-century Puerto Rican civic architecture.
  • E. Francisco Marto
    Francisco Marto was one of the three Portuguese shepherd children who reported witnessing the Marian apparitions at Fátima in 1917 and was later canonized as a Catholic saint.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb05bd6b08190bcb9f0e5da82bc21 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e862835881909c2f3b8f86f10742 completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.