Triple
T1184224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J Dilla |
E25208
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | J-Dee |
E136415
|
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: J-Dee | Statement: [J Dilla, alsoKnownAs, J-Dee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J-Dee Context triple: [J Dilla, alsoKnownAs, J-Dee]
-
A.
Jay Dee
chosen
Jay Dee was the influential American hip-hop producer and rapper J Dilla, renowned for his innovative, soulful, and off-kilter beat-making style.
-
B.
Joe Zee
Joe Zee is a Canadian-born fashion stylist, editor, and television personality known for his influential work in fashion media and style-focused TV shows.
-
C.
Dee Dee King
Dee Dee King was the hip hop–oriented alter ego and stage name adopted by Dee Dee Ramone, bassist and songwriter of the pioneering punk band the Ramones.
-
D.
DJ Dahi
DJ Dahi is an American record producer and DJ known for his innovative, genre-blending work with major hip-hop and R&B artists.
-
E.
Mr. DJ
Mr. DJ is a hip-hop music producer best known for his work with OutKast and on tracks like "Universal Mind Control."
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd37b4a88190bb71a2d272c5fd1a |
completed | March 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f3443588190af6c06383e904e7d |
completed | March 7, 2026, 7:40 p.m. |
Created at: March 1, 2026, 7:45 p.m.