Triple
T22843048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BBE |
E566133
|
entity |
| Predicate | hasReleasedMusicBy |
P51851
|
FINISHED |
| Object | J Dilla |
—
|
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: J Dilla | Statement: [BBE, hasReleasedMusicBy, J Dilla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J Dilla Context triple: [BBE, hasReleasedMusicBy, J Dilla]
-
A.
J Dilla
chosen
J Dilla was a highly influential American hip-hop producer and rapper renowned for his innovative, soulful, and off-kilter approach to beat-making.
-
B.
Madlib
Madlib is an influential American hip-hop producer and DJ known for his experimental, sample-heavy style and collaborations with artists like MF DOOM and J Dilla.
-
C.
Ed Lay
Ed Lay is the drummer for the British indie rock band Editors, known for his dynamic and atmospheric percussion style.
-
D.
Adrian Younge
Adrian Younge is an American composer, multi-instrumentalist, and producer known for his analog, cinematic soul sound and collaborations with artists across hip-hop and R&B.
-
E.
Elzhi
Elzhi is an American rapper and lyricist from Detroit known for his intricate wordplay and work as a former member of the influential hip-hop group Slum Village.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e866080819091adfb41cd2a4e13 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:36 p.m.