Triple
T21140795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivete Sangalo |
E520919
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Banda Eva |
—
|
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: Banda Eva | Statement: [Ivete Sangalo, memberOf, Banda Eva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banda Eva Context triple: [Ivete Sangalo, memberOf, Banda Eva]
-
A.
Banda Eva
chosen
Banda Eva is a popular Brazilian axé music band from Bahia that gained national fame in the 1990s, especially during the period when Ivete Sangalo was its lead singer.
-
B.
La Banda
La Banda is a major city in northern Argentina known for its agricultural economy and proximity to the provincial capital, Santiago del Estero.
-
C.
La Diva de la Banda
La Diva de la Banda is the celebrated stage persona of Jenni Rivera, a Mexican-American singer renowned for her powerful contributions to banda and regional Mexican music.
-
D.
Maria Rita
Maria Rita is a Brazilian singer and daughter of legendary vocalist Elis Regina, known for her acclaimed work in MPB and jazz-influenced music.
-
E.
Banda-Linda
Banda-Linda is a dialect of the Central Banda language spoken by the Banda people in parts of Central Africa, particularly in the Central African Republic.
- 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_69e0b50b53048190ae34e8abbe3c5ada |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7235f77708190809d6aa3ee8056aa |
completed | April 21, 2026, 7:12 a.m. |
Created at: April 16, 2026, 2:57 p.m.