Triple

T5385069
Position Surface form Disambiguated ID Type / Status
Subject Machado de Assis E120182 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: [Machado de Assis, givenName, Joaquim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joaquim
Context triple: [Machado de Assis, 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. Gonçalo
    Gonçalo is a Portuguese given name, equivalent to the Spanish name Gonzalo and commonly used for males in Portuguese-speaking countries.
  • D. Pedro Tavares
    Pedro Tavares is a person notable enough to be recognized as a bearer of the surname Tavares, though specific widely known achievements or roles are not clearly established from the given information.
  • E. Diogo
    Diogo is a masculine given name, commonly used in Portuguese-speaking countries and related to the name Diego.
  • 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_69bd46354c648190a38b26f107010a96 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd86f5a7388190aa4ba2052afca74e completed March 20, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf295030b081909bea5e946aac098b completed March 21, 2026, 11:27 p.m.
Created at: March 20, 2026, 2:03 p.m.