Triple
T4176101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Outkast |
E86479
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | CeeLo Green |
E64117
|
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: CeeLo Green | Statement: [Outkast, associatedAct, CeeLo Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CeeLo Green Context triple: [Outkast, associatedAct, CeeLo Green]
-
A.
CeeLo Green
chosen
CeeLo Green is an American singer, rapper, songwriter, and record producer known for his work in Gnarls Barkley and his solo hit "Forget You," as well as his flamboyant performance style.
-
B.
Aloe Blacc
Aloe Blacc is an American singer, songwriter, and musician best known for soulful hits like "I Need a Dollar" and his vocals on Avicii's "Wake Me Up."
-
C.
Ray Kay
Ray Kay is a Norwegian music video director known for creating visually striking videos for numerous high-profile pop and R&B artists.
-
D.
Ne-Yo
Ne-Yo is an American R&B singer, songwriter, and record producer known for hits like "So Sick" and for writing songs for numerous major artists.
-
E.
Warren G
Warren G is an American West Coast rapper and producer best known for pioneering the G-funk sound and his hit single "Regulate."
- 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_69aed93de98c8190ad838ce507b77c8a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02eaa0d08190a3b805c64ef76a0c |
completed | March 9, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589f2d7988190b59f0f119f66c046 |
completed | March 14, 2026, 4:16 p.m. |
Created at: March 9, 2026, 3:45 p.m.