Triple
T17437561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Country Grammar |
E424041
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Kevin Law |
—
|
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: Kevin Law | Statement: [Country Grammar, producer, Kevin Law]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Law Context triple: [Country Grammar, producer, Kevin Law]
-
A.
Kevin Law
chosen
Kevin Law is a music producer best known for his work on Nelly’s multi-platinum debut album "Country Grammar."
-
B.
John Askew
John Askew is a musician best known as a member of the American indie rock band Rogue Wave.
-
C.
Kevin McGibbon
Kevin McGibbon is a fictional character portrayed by actor Philip J. Amelio II.
-
D.
Dan Kean
Dan Kean is an individual notable enough to be recognized as a bearer of the surname Kean, though specific widely known public details about him are not readily available.
-
E.
Phil Morris
Phil Morris is an American actor and voice actor known for roles in television series like "Seinfeld" and for voicing characters in various animated superhero projects.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff468a08190bdc5cebb8162b4ba |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 5:46 a.m.