Triple
T21272839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P.O.D. |
E524310
|
entity |
| Predicate | bassist |
P15279
|
FINISHED |
| Object | Traa Daniels |
—
|
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: Traa Daniels | Statement: [P.O.D., bassist, Traa Daniels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Traa Daniels Context triple: [P.O.D., bassist, Traa Daniels]
-
A.
Traa Daniels
chosen
Traa Daniels is the bassist for the American Christian nu metal band P.O.D.
-
B.
Shea Daniels
Shea Daniels is a former gang leader and criminal informant who becomes part of a special team of convicts helping U.S. Marshals track down escaped prisoners in the TV series "Breakout Kings."
-
C.
Shamar Daugherty
Shamar Daugherty is a songwriter best known for co-writing the hit hip hop single "Right Thurr" by Chingy.
-
D.
Dre Ellis
Dre Ellis is the charismatic hip-hop journalist and central protagonist of the romantic comedy film "Brown Sugar," whose lifelong friendship with a music executive evolves into a deeper love story.
-
E.
Marlo Lewis
Marlo Lewis was an American television producer best known for co-creating and helping shape the long-running variety program The Ed Sullivan Show.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73654ba148190a2eb0a06363cbd0b |
completed | April 21, 2026, 8:33 a.m. |
Created at: April 16, 2026, 4:01 p.m.