Triple
T20036098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DJ Nasty & LVM |
E497267
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | DJ Nasty and LVM |
—
|
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: DJ Nasty and LVM | Statement: [DJ Nasty & LVM, alsoKnownAs, DJ Nasty and LVM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DJ Nasty and LVM Context triple: [DJ Nasty & LVM, alsoKnownAs, DJ Nasty and LVM]
-
A.
DJ Nasty & LVM
chosen
DJ Nasty & LVM are a hip-hop production duo best known for crafting beats on Ludacris’s album *The Red Light District*.
-
B.
Digital Underground
Digital Underground was an influential Oakland-based hip hop group known for its playful, funk-inspired sound and for launching the career of rapper Tupac Shakur.
-
C.
DJ Nasty
DJ Nasty is a hip-hop music producer best known for his work on Ludacris’s album "Chicken-n-Beer."
-
D.
Nasty Beatmakers
Nasty Beatmakers is a hip-hop production duo known for crafting hard-hitting beats for prominent rap artists in the 2000s and 2010s.
-
E.
DJ 7L
DJ 7L is an American hip-hop DJ and producer best known as one half of the underground rap duo 7L & Esoteric.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662e8573081909f71fda640aa3220 |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:36 p.m.