Triple

T11663552
Position Surface form Disambiguated ID Type / Status
Subject Amares E277185 entity
Predicate hasNotablePerson P304 FINISHED
Object António Variações E56352 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: António Variações | Statement: [Amares, hasNotablePerson, António Variações]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: António Variações
Context triple: [Amares, hasNotablePerson, António Variações]
  • A. António Variações chosen
    António Variações was a pioneering Portuguese singer-songwriter known for his eclectic style and for revolutionizing Portuguese pop music in the early 1980s.
  • B. Caetano
    Caetano is a Portuguese surname most notably associated with Marcelo Caetano, the last prime minister of Portugal’s Estado Novo regime.
  • C. Fado Alexandrino
    Fado Alexandrino is a novel by Portuguese writer António Lobo Antunes that portrays the lives of former soldiers struggling to adapt to post-revolutionary Portugal.
  • D. Dias de Oliveira
    Dias de Oliveira is the family name of Brazilian actress and singer Marjorie Estiano.
  • E. Ramos de Azevedo
    Ramos de Azevedo was a prominent Brazilian architect and engineer known for shaping São Paulo’s urban landscape in the late 19th and early 20th centuries.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3d3a64c819099f398ea22c8c180 completed April 10, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69f739644ed48190896d7b2b6c3b5f8f completed May 3, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:39 p.m.