Triple
T6308387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canibus |
E141435
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Kurupt |
E331448
|
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: Kurupt | Statement: [Canibus, associatedAct, Kurupt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kurupt Context triple: [Canibus, associatedAct, Kurupt]
-
A.
Kurupt
chosen
Kurupt is an American rapper and member of Tha Dogg Pound, known for his influential role in West Coast hip hop and collaborations with artists like Snoop Dogg and Dr. Dre.
-
B.
Canibus
Canibus is an American rapper known for his complex, battle-oriented lyricism and technically intricate rhyme schemes.
-
C.
Cormega
Cormega is an American rapper from Queensbridge, New York, known for his gritty street narratives and association with the early Nas-led hip-hop collective The Firm.
-
D.
Kenny Dope
Kenny Dope is an influential American DJ and producer best known as one half of the house music duo Masters at Work and for his genre-spanning work in house, hip-hop, and Latin-influenced dance music.
-
E.
Pimp C
Pimp C was an influential American rapper and producer, best known as one half of the Southern hip hop duo UGK (Underground Kingz).
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0647d38008190abaf96632712ddf9 |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e45330ec8190945682962ae823b0 |
completed | March 27, 2026, 1:58 a.m. |
Created at: March 22, 2026, 4:28 p.m.