Triple
T16881269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Still Brazy |
E421419
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | P-Lo |
E918175
|
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: P-Lo | Statement: [Still Brazy, producer, P-Lo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: P-Lo Context triple: [Still Brazy, producer, P-Lo]
-
A.
P-Lo
chosen
P-Lo is an American hip-hop producer and rapper known for his work with the HBK Gang and for crafting Bay Area–influenced club hits.
-
B.
Pleasure P
Pleasure P is an American R&B singer and former member of the group Pretty Ricky, known for his smooth vocals and solo hits in the late 2000s.
-
C.
P.O.S
P.O.S is an American rapper, singer, and producer from Minneapolis known for his politically charged lyrics and work with the indie hip hop collective Doomtree.
-
D.
Ladipoe
Ladipoe is a Nigerian rapper and songwriter known for his clever wordplay and contributions to the contemporary Afrobeats and hip-hop scene.
-
E.
Phyno
Phyno is a Nigerian rapper, singer, and record producer known for his Igbo-language hip-hop and collaborations across the Afrobeats and rap scenes.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7fc61a08190b9f611c06a95be01 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2b8fcf081908898f5589b2455ce |
completed | May 10, 2026, 5:39 p.m. |
Created at: April 10, 2026, 5:29 a.m.