Triple
T12034725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vincent Youmans |
E286505
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Carioca |
E224455
|
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: Carioca | Statement: [Vincent Youmans, notableWork, Carioca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carioca Context triple: [Vincent Youmans, notableWork, Carioca]
-
A.
The Carioca
chosen
"The Carioca" is a popular 1933 samba-inspired dance song closely associated with the film *Flying Down to Rio* and early Fred Astaire–Ginger Rogers musical numbers.
-
B.
Copacabana (At the Copa)
"Copacabana (At the Copa)" is a 1978 disco-pop song by Barry Manilow that tells a dramatic, narrative story set in a lively New York nightclub.
-
C.
Barrio Brasil
Barrio Brasil is a traditional, bohemian neighborhood in Santiago, Chile, known for its historic architecture, cultural venues, and vibrant nightlife.
-
D.
Cariocão
Cariocão is the popular nickname for the Campeonato Carioca, the top professional football championship of the state of Rio de Janeiro in Brazil.
-
E.
Zeca Carioca
Zeca Carioca is a Disney comic book character, the young parrot nephew of José Carioca who often appears in Brazilian Disney stories.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90408cbf0819093270c9833ef149a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d7d453c8190a27c5feca8f38991 |
completed | May 1, 2026, 12:33 p.m. |
Created at: April 8, 2026, 9:47 p.m.