Triple
T20014695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feijão com Arroz |
E494683
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Liminha |
—
|
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: Liminha | Statement: [Feijão com Arroz, producer, Liminha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liminha Context triple: [Feijão com Arroz, producer, Liminha]
-
A.
Liminha
chosen
Liminha is a renowned Brazilian music producer and bassist known for his influential work shaping the sound of modern Brazilian popular music.
-
B.
Pretinha
Pretinha is a former Brazilian women's footballer renowned as one of the pioneering stars of Brazil’s women’s national team and a key figure in the early development of the women’s game in the country.
-
C.
Pombalinho
Pombalinho is a small civil parish in central Portugal, situated within the municipality of Golegã in the Santarém District.
-
D.
Pixinguinha
Pixinguinha was a pioneering Brazilian composer, arranger, and flutist who helped define and popularize the choro genre in the early 20th century.
-
E.
Laranjinha
Laranjinha is a fast, sweeping right-hand bend on the Autódromo José Carlos Pace (Interlagos) circuit in São Paulo, Brazil, known for its challenging, high-speed nature.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623a9bd48190a3344a07540170c7 |
completed | April 20, 2026, 5:28 p.m. |
Created at: April 11, 2026, 3:34 p.m.