Triple
T19553543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paper Trail |
E489251
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Tha Bizness |
—
|
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: Tha Bizness | Statement: [Paper Trail, producer, Tha Bizness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tha Bizness Context triple: [Paper Trail, producer, Tha Bizness]
-
A.
Tha Bizness
chosen
Tha Bizness is an American hip hop and R&B production duo known for crafting beats for prominent artists across the rap and urban music scenes.
-
B.
The Biz Never Sleeps
"The Biz Never Sleeps" is a 1989 hip hop album by Biz Markie, best known for featuring his breakout hit single "Just a Friend."
-
C.
Shady Bizniz
Shady Bizniz is a music producer best known for his work on the soundtrack of the television sitcom "The King of Queens."
-
D.
In My Business
"In My Business" is a song by Whitney Houston from her 1998 album *My Love Is Your Love*, blending R&B and pop with themes of privacy and personal boundaries.
-
E.
It’s a Business
"It’s a Business" is a musical number from the Broadway show *Curtains*, characterized by its satirical take on the commercial side of show business.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d315c68819087402802d624a8c9 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:41 p.m.