Triple

T3327064
Position Surface form Disambiguated ID Type / Status
Subject Joachim E69939 entity
Predicate isRelatedName P3889 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: [Joachim, isRelatedName, Joaquim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joaquim
Context triple: [Joachim, isRelatedName, 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb16dc170819086a63e033e17d8b3 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3342118a48190b6d53fbf1b6c2a7d completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:12 p.m.