Triple
T9912996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney ¡Viva Navidad! |
E185791
|
entity |
| Predicate | featuresCharacters |
P662
|
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: [Disney ¡Viva Navidad!, featuresCharacters, José Carioca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: José Carioca Context triple: [Disney ¡Viva Navidad!, featuresCharacters, 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb53a300481909d917e487d8aab56 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20dcbf28c8190aa9f6a8be423670a |
completed | April 5, 2026, 7:22 a.m. |
Created at: March 30, 2026, 8:41 p.m.