Triple
T1864878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B7 |
E34896
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | DJ Camper |
E180776
|
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: DJ Camper | Statement: [B7, producer, DJ Camper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DJ Camper Context triple: [B7, producer, DJ Camper]
-
A.
DJ Camper
chosen
DJ Camper is a Grammy-nominated American record producer and songwriter known for his work with major R&B and hip-hop artists.
-
B.
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.
-
C.
DJ Toomp
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.
-
D.
DJ Premier
DJ Premier is a highly influential American hip-hop DJ and producer known for his gritty, sample-based boom-bap sound and classic work with Gang Starr and numerous rap legends.
-
E.
A-Trak
A-Trak is a Canadian DJ, turntablist, and record producer known for his championship-level scratching skills and influential work in electronic and hip-hop music.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb0a208e481908406c008f700a585 |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1d540c0819099558507bdf2ffa4 |
completed | March 8, 2026, 7:45 p.m. |
Created at: March 4, 2026, 7:34 p.m.