Triple
T13830518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Game Theory |
E332383
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Kenny Dope |
E330157
|
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: Kenny Dope | Statement: [Game Theory, producer, Kenny Dope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenny Dope Context triple: [Game Theory, producer, Kenny Dope]
-
A.
Kenny Dope
chosen
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.
-
B.
E-40
E-40 is an American rapper, entrepreneur, and founding member of the hip hop group The Click, known for his influential role in West Coast and Bay Area hip hop.
-
C.
Daz Dillinger
Daz Dillinger is an American rapper and record producer best known for his work with Death Row Records and as a member of the hip hop duo Tha Dogg Pound.
-
D.
Juggy D
Juggy D is a British-Indian Punjabi singer known for his contributions to the UK bhangra and Asian underground music scenes.
-
E.
L.B. Dope
L.B. Dope is a musician best known as a member of the British band Alabama 3, which blends electronic music with blues, country, and gospel influences.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0299334481908c2b271eaf06e4b7 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0eb7f44819087b1d24e4235a972 |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 10:13 p.m.