Triple

T14118717
Position Surface form Disambiguated ID Type / Status
Subject Walt Disney animated shorts of the 1940s E339847 entity
Predicate featureCharacter P23263 FINISHED
Object José Carioca E232229 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: José Carioca | Statement: [Walt Disney animated shorts of the 1940s, featureCharacter, José Carioca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: José Carioca
Context triple: [Walt Disney animated shorts of the 1940s, featureCharacter, José Carioca]
  • A. José Carioca chosen
    José Carioca is a Brazilian parrot character created by Disney, best known as one of the Three Caballeros alongside Donald Duck and Panchito Pistoles.
  • B. Caetano
    Caetano is a Portuguese surname most notably associated with Marcelo Caetano, the last prime minister of Portugal’s Estado Novo regime.
  • C. Cariocão
    Cariocão is the popular nickname for the Campeonato Carioca, the top professional football championship of the state of Rio de Janeiro in Brazil.
  • D. Luís Goes
    Luís Goes was a prominent Portuguese singer renowned for his interpretations of Coimbra fado, contributing significantly to the genre’s popularity and refinement in the 20th century.
  • E. Sérgio
    Sérgio is a Portuguese given name commonly used in Brazil and other Lusophone 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de609322ac8190bb389ca250882af5 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0bc60088190a7e2f0c9532304e3 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.