Triple
T23262596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Never Liked You |
E582052
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | DY Krazy |
E1206257
|
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: DY Krazy | Statement: [I Never Liked You, producer, DY Krazy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DY Krazy Context triple: [I Never Liked You, producer, DY Krazy]
-
A.
DY Krazy
chosen
DY Krazy is a hip-hop record producer known for crafting melodic, street-oriented beats for contemporary rap artists.
-
B.
Krazy
"Krazy" is a track from Tupac Shakur’s posthumous album "The Don Killuminati: The 7 Day Theory," noted for its introspective lyrics and somber, reflective tone.
-
C.
Kenny Krazy
Kenny Krazy is a music producer best known for his work on the track "Jackpot."
-
D.
Krazy Kings
"Krazy Kings" is a track by the underground hip-hop group Company Flow, featured on their influential album *Funcrusher Plus*.
-
E.
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.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194caaf208190931923744692180d |
completed | April 29, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f7050388190a0848037c96049c0 |
completed | May 19, 2026, 10:46 a.m. |
Created at: April 17, 2026, 4:11 p.m.