Triple

T18851324
Position Surface form Disambiguated ID Type / Status
Subject PT E461046 entity
Predicate notableMember P10 FINISHED
Object Tarso Genro 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: Tarso Genro | Statement: [PT, notableMember, Tarso Genro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarso Genro
Context triple: [PT, notableMember, Tarso Genro]
  • A. Tarso Genro chosen
    Tarso Genro is a Brazilian politician and lawyer who has held prominent national and local offices, including serving as Brazil’s Minister of Justice and as governor of Rio Grande do Sul.
  • B. Tulio Monteiro
    Tulio Monteiro is a character in the animated film "Rio," known as the kind-hearted ornithologist who helps protect rare birds.
  • C. Silvio Horta
    Silvio Horta was an American television writer and producer best known for developing and showrunning the hit dramedy series "Ugly Betty."
  • D. Bissaya Barreto
    Bissaya Barreto was a prominent Portuguese physician, professor, and politician known for his influential social and educational initiatives in the Coimbra region.
  • E. Amadeo de Souza Cardoso
    Amadeo de Souza Cardoso was an influential early 20th-century Portuguese modernist painter known for his avant-garde contributions that blended Cubism, Futurism, and abstraction.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05995e88190b189864fcbda68e5 completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:56 a.m.