Triple
T16476184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DJ Envy |
E400192
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | DJ Envy |
E400192
|
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: DJ Envy | Statement: [DJ Envy, alsoKnownAs, DJ Envy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DJ Envy Context triple: [DJ Envy, alsoKnownAs, DJ Envy]
-
A.
DJ Envy
chosen
DJ Envy is an American disc jockey, music producer, and radio personality best known as a longtime co-host of the nationally syndicated morning show "The Breakfast Club."
-
B.
DJ Muggs
DJ Muggs is an American DJ and producer best known as the primary producer for Cypress Hill and for his influential work in hip hop and trip-hop.
-
C.
DJ Frank E
DJ Frank E is an American record producer and songwriter known for crafting pop and hip-hop hits for major artists across the 2000s and 2010s.
-
D.
DJ Premier
DJ Premier is a highly influential American hip-hop DJ and producer known for his gritty, sample-based boom-bap sound and classic work with Gang Starr and numerous rap legends.
-
E.
DJ Reflex
DJ Reflex is an American DJ and music producer known for his work in hip-hop and collaborations with prominent West Coast artists.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32dd4f53081908f78b88435c8c719 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f5f238881909b5f2fb41da3f932 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:13 a.m.