Triple

T21303830
Position Surface form Disambiguated ID Type / Status
Subject Diogo Antônio Feijó E525138 entity
Predicate givenName P17 FINISHED
Object Diogo 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: Diogo | Statement: [Diogo Antônio Feijó, givenName, Diogo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diogo
Context triple: [Diogo Antônio Feijó, givenName, Diogo]
  • A. Diogo chosen
    Diogo is a masculine given name, commonly used in Portuguese-speaking countries and related to the name Diego.
  • B. Diogo Cam
    Diogo Cam is a variant spelling of Diogo Cão, the 15th-century Portuguese navigator and explorer known for his voyages along the west coast of Africa.
  • C. Gonçalo
    Gonçalo is a Portuguese given name, equivalent to the Spanish name Gonzalo and commonly used for males in Portuguese-speaking countries.
  • D. Sebastião
    Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
  • E. Damião
    Damião is a Portuguese given name, equivalent to Damian, commonly used in Lusophone countries.
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75aa212388190b367290526feb380 completed April 21, 2026, 11:08 a.m.
Created at: April 16, 2026, 4:05 p.m.