Triple
T16639503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makeba Riddick |
E404292
|
entity |
| Predicate | hasWrittenFor |
P11775
|
FINISHED |
| Object | B2K |
E803787
|
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: B2K | Statement: [Makeba Riddick, hasWrittenFor, B2K]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: B2K Context triple: [Makeba Riddick, hasWrittenFor, B2K]
-
A.
B2K
chosen
B2K is an American R&B boy band that rose to prominence in the early 2000s with hits like "Bump, Bump, Bump" and "Uh Huh."
-
B.
B.A.M.
B.A.M. is a music producer known for contributing to Mary J. Blige’s album "Strength of a Woman."
-
C.
B.O. Plenty
B.O. Plenty is a grotesque, hillbilly-style supporting character and sometime antagonist from the long-running "Dick Tracy" comic strip.
-
D.
BK
BK is a common abbreviation for Brooklyn, a borough of New York City known for its cultural diversity, arts scene, and historic neighborhoods.
-
E.
BK
BK is the vehicle registration code assigned to motor vehicles registered in Bobo-Dioulasso, a major city in Burkina Faso.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37acff38081908c8044936b794ce0 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dc41638819090e967ade46d35a4 |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:18 a.m.