Triple
T17976659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let the Groove Get In |
E449491
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Gracinha Leporace |
—
|
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: Gracinha Leporace | Statement: [Let the Groove Get In, writer, Gracinha Leporace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gracinha Leporace Context triple: [Let the Groove Get In, writer, Gracinha Leporace]
-
A.
Gracinha Leporace
chosen
Gracinha Leporace is a Brazilian singer known for her long-time collaborations with Sérgio Mendes and contributions to Brazilian popular and jazz music.
-
B.
Gisela Rossi
Gisela Rossi is known as the former spouse of the late commodities trader and financier Marc Rich.
-
C.
Ana Maria Camargo
Ana Maria Camargo is a Brazilian television presenter and journalist known for her work on news and talk shows.
-
D.
Sheila Lirio Marcelo
Sheila Lirio Marcelo is a Filipino-American entrepreneur best known as the founder and former CEO of Care.com, a leading online marketplace for caregiving services.
-
E.
Carla Quevedo
Carla Quevedo is an Argentine actress known for her work in both Latin American and U.S. film and television, including roles in acclaimed dramas and crime series.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b20010c8819088c022565183a7ff |
completed | April 19, 2026, 10:44 a.m. |
Created at: April 10, 2026, 10:22 a.m.