Triple
T21723514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let's Get Ready |
E536219
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | DJ Toomp |
—
|
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 Toomp | Statement: [Let's Get Ready, producer, DJ Toomp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DJ Toomp Context triple: [Let's Get Ready, producer, DJ Toomp]
-
A.
DJ Toomp
chosen
DJ Toomp is an American record producer and DJ best known for his influential work in Southern hip hop, including crafting hits for artists like T.I. and Kanye West.
-
B.
DJ Spinderella
DJ Spinderella is an American DJ, producer, and rapper best known as the longtime DJ and third member of the pioneering hip hop group Salt-N-Pepa.
-
C.
DJ Klem
DJ Klem is a Nigerian music producer and DJ known for crafting polished, genre-blending beats for prominent Afrobeats and hip-hop artists.
-
D.
DJ Sincere
DJ Sincere is a hip-hop DJ best known for his work with the influential New Rochelle rap group Brand Nubian.
-
E.
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.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd97150c08190861bdc35416665a9 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:48 p.m.