Triple
T23326679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LSG |
E591311
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Levert.Sweat.Gill |
—
|
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: Levert.Sweat.Gill | Statement: [LSG, album, Levert.Sweat.Gill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Levert.Sweat.Gill Context triple: [LSG, album, Levert.Sweat.Gill]
-
A.
Levert.Sweat.Gill
chosen
Levert.Sweat.Gill is the self-titled debut studio album by the R&B supergroup LSG, composed of Gerald Levert, Keith Sweat, and Johnny Gill.
-
B.
Levert
Levert is a surname most prominently associated with the late American R&B singer Gerald Levert and his musical family.
-
C.
LEVEN
LEVEN is a coastal town in Fife, Scotland, known for its sandy beach, golf courses, and role as a local service and tourism centre.
-
D.
Sweat
"Sweat" is a Pulitzer Prize–winning play by Lynn Nottage that explores the lives of working-class friends in a declining Rust Belt town amid deindustrialization and racial tension.
-
E.
Sweat
"Sweat" is a novel by Brazilian writer Jorge Amado, reflecting his early social-realist style and focus on the struggles of the working class.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197eaa7b88190aad2096c110dadea |
completed | April 29, 2026, 5:32 a.m. |
Created at: April 17, 2026, 5:12 p.m.