Triple
T22276036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Behind the Front |
E550608
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | DJ Motiv8 |
—
|
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 Motiv8 | Statement: [Behind the Front, producer, DJ Motiv8]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DJ Motiv8 Context triple: [Behind the Front, producer, DJ Motiv8]
-
A.
DJ Motiv8
chosen
DJ Motiv8 is a hip-hop DJ and producer best known for his work with the Black Eyed Peas and contributions to their early sound.
-
B.
DJ Motivate
DJ Motivate is a music producer and DJ best known for his work on the project "Monkey Business."
-
C.
DJ Victoriouz
DJ Victoriouz is a Chicago-based hip-hop DJ and producer known for his work with prominent drill and rap artists and contributions to the city’s contemporary rap sound.
-
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 Swivel
DJ Swivel is a Grammy-winning Canadian record producer, mixer, and audio engineer known for his work with major pop and electronic artists such as The Chainsmokers and Beyoncé.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea7ebbc8190948e8994e988adb3 |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.