Triple

T22758990
Position Surface form Disambiguated ID Type / Status
Subject Palácio Capanema E562931 entity
Predicate architect P184 FINISHED
Object Carlos Leão 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: Carlos Leão | Statement: [Palácio Capanema, architect, Carlos Leão]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlos Leão
Context triple: [Palácio Capanema, architect, Carlos Leão]
  • A. Carlos Leão chosen
    Carlos Leão was a Brazilian artist and architect associated with modernist movements in Brazil.
  • B. Jorge Arantes
    Jorge Arantes is a Portuguese former journalist best known as the first husband of author J. K. Rowling.
  • C. César Seabra
    César Seabra was the husband of iconic Portuguese fado singer Amália Rodrigues and a figure known primarily for his close association with her life and career.
  • D. Carlos da Costa
    Carlos da Costa is a personal name shared by multiple individuals, typically of Portuguese or Brazilian origin, whose specific notable achievements are not uniquely identifiable from this context.
  • E. Aníbal Coutinho
    Aníbal Coutinho is a Brazilian architect best known for designing São Paulo’s Arena Corinthians football stadium.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a7a8ca481909953dcd6fbcc5fcf completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:25 p.m.