Triple
T7963928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boogz & Tapez |
E184949
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Boogz |
E184949
|
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: Boogz | Statement: [Boogz & Tapez, hasMember, Boogz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boogz Context triple: [Boogz & Tapez, hasMember, Boogz]
-
A.
Boogz & Tapez
chosen
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.
-
B.
B.O. Plenty
B.O. Plenty is a grotesque, hillbilly-style supporting character and sometime antagonist from the long-running "Dick Tracy" comic strip.
-
C.
BoogzDaBeast
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."
-
D.
Doozer
Doozer is a television production company founded by Bill Lawrence, best known for producing series such as Scrubs, Cougar Town, and Ted Lasso.
-
E.
Bug a Boo
"Bug a Boo" is a 1999 R&B single by Destiny's Child, known for its catchy lyrics about an overbearing love interest and its popularity during the group's early rise to fame.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b9f577481908589d10fdc486abb |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe093f00881909317eb4dd4fa1393 |
completed | March 31, 2026, 2:56 p.m. |
Created at: March 30, 2026, 5:12 p.m.