Triple

T5385052
Position Surface form Disambiguated ID Type / Status
Subject Academia Brasileira de Letras E120181 entity
Predicate hasNotableMember P304 FINISHED
Object Ruy Barbosa E481343 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: Ruy Barbosa | Statement: [Academia Brasileira de Letras, hasNotableMember, Ruy Barbosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruy Barbosa
Context triple: [Academia Brasileira de Letras, hasNotableMember, Ruy Barbosa]
  • A. Rui Barbosa chosen
    Rui Barbosa was a prominent Brazilian jurist, politician, diplomat, and intellectual who played a key role in shaping Brazil’s early republican institutions and legal system.
  • B. Júlio Neves
    Júlio Neves is a Brazilian architect known for his significant role in the design and development of major cultural institutions in São Paulo.
  • C. Joaquim Nabuco
    Joaquim Nabuco was a prominent Brazilian diplomat, writer, and leading abolitionist who played a key role in the movement to end slavery in Brazil.
  • D. Júlio de Castilho
    Júlio de Castilho was a Portuguese writer, journalist, and politician known for his historical and topographical studies of Lisbon.
  • E. Sidónio Pais
    Sidónio Pais was a Portuguese military officer and politician who briefly ruled as a semi-dictatorial president during the turbulent years of the First Portuguese Republic before his assassination in 1918.
  • 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_69bf335661c8819091058a5275b95284 completed March 22, 2026, 12:09 a.m.
Created at: March 20, 2026, 2:03 p.m.