Triple
T3127435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Violent Crimes |
E65330
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | BoogzDaBeast |
E184996
|
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: BoogzDaBeast | Statement: [Violent Crimes, producer, BoogzDaBeast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BoogzDaBeast Context triple: [Violent Crimes, producer, BoogzDaBeast]
-
A.
BoogzDaBeast
chosen
BoogzDaBeast is a hip-hop and R&B music producer known for his work on high-profile projects including Teyana Taylor’s album "K.T.S.E."
-
B.
Swizz Beatz
Swizz Beatz is an American record producer, rapper, and entrepreneur known for his influential work in hip-hop and collaborations with numerous major artists.
-
C.
Xzibit
Xzibit is an American rapper, actor, and television host best known for fronting the MTV car-customization show "Pimp My Ride."
-
D.
Boogz & Tapez
Boogz & Tapez are a hip-hop production duo known for their work with Kanye West’s G.O.O.D. Music collective, contributing to the label’s distinctive sound in the early 2010s.
-
E.
Busta Rhymes
Busta Rhymes is an American rapper known for his rapid-fire delivery, energetic style, and influential role in 1990s and 2000s hip-hop.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada546a6648190bc4bc3e599e6aa95 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f7926248190b8f08e3a626e8eab |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:04 p.m.