Triple

T2539598
Position Surface form Disambiguated ID Type / Status
Subject Antonio E56351 entity
Predicate hasVariant P455 FINISHED
Object Antônio E7036 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: Antônio | Statement: [Antonio, hasVariant, Antônio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antônio
Context triple: [Antonio, hasVariant, Antônio]
  • A. António chosen
    António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
  • B. Athos Bulcão
    Athos Bulcão was a Brazilian artist renowned for his modernist tile panels and public art that became iconic elements of Brasília’s architectural landscape.
  • C. Simão Rodrigues
    Simão Rodrigues was a 16th-century Portuguese Jesuit priest and one of the original companions of Ignatius of Loyola who helped establish and spread the Society of Jesus in Portugal.
  • D. Pedro
    Pedro is the Spanish and Portuguese given name equivalent to the English name Peter and the French name Pierre.
  • E. Guilherme
    Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd29b44448190ba4f82b0c1425f21 completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af65573c30819080a8f0235e5dd8be completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:47 p.m.