Triple
T21097459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Layzie Bone |
E519803
|
entity |
| Predicate | hasCollaboratedWith |
P8554
|
FINISHED |
| Object | DJ U-Neek |
—
|
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 U-Neek | Statement: [Layzie Bone, hasCollaboratedWith, DJ U-Neek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DJ U-Neek Context triple: [Layzie Bone, hasCollaboratedWith, DJ U-Neek]
-
A.
DJ U-Neek
chosen
DJ U-Neek is a hip-hop producer and DJ best known for crafting the distinctive sound of Bone Thugs-n-Harmony and working closely with member Krayzie Bone.
-
B.
DJ Ecool
DJ Ecool is a Nigerian-American disc jockey and producer best known for his collaborations and touring work with Afrobeats star Davido.
-
C.
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.
-
D.
DJ Shok
DJ Shok is a hip-hop producer best known for his work with DMX, including producing the acclaimed track "Slippin'."
-
E.
DJ Sincere
DJ Sincere is a hip-hop DJ best known for his work with the influential New Rochelle rap group Brand Nubian.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5a3a9481908e30fba9717dc461 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:52 p.m.