Triple
T20831280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ballin Like I’m Kobe |
E512831
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | DJ L |
—
|
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 L | Statement: [Ballin Like I’m Kobe, producer, DJ L]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DJ L Context triple: [Ballin Like I’m Kobe, producer, DJ L]
-
A.
DJ L
DJ L is a prominent hip-hop producer closely associated with the Chicago drill scene, known for crafting hard-hitting beats for key artists in the genre.
-
B.
DJ Lont
chosen
DJ Lont is a hip-hop music producer best known for his work on the mixtape "Ballin Like I’m Kobe."
-
C.
DJ Lethal
DJ Lethal is a Latvian-American DJ and producer best known as a member of the rap rock band Limp Bizkit and formerly of the hip hop group House of Pain.
-
D.
J-Lu
J-Lu is a music producer best known for working on the track "Cockiness (Love It)."
-
E.
DJ Luian
DJ Luian is a Puerto Rican music producer and DJ best known for his influential work in the Latin trap and reggaeton scenes, collaborating with major urban artists across the Spanish-speaking world.
- 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3224e788190bfc4d3dcbaa674a7 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:42 p.m.