Triple
T37278178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melody Reimagined: book 1 |
E924705
|
entity |
| Predicate | creditedRoleOfJasonMarsalis |
P151498
|
FINISHED |
| Object | vibraphonist |
—
|
LITERAL 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: vibraphonist | Statement: [Melody Reimagined: book 1, creditedRoleOfJasonMarsalis, vibraphonist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creditedRoleOfJasonMarsalis Context triple: [Melody Reimagined: book 1, creditedRoleOfJasonMarsalis, vibraphonist]
-
A.
creditedRoleOfJermaineDupri
Indicates that a particular role or contribution is officially attributed to Jermaine Dupri.
-
B.
musicalRole
Indicates the specific function or part an entity performs within a musical context, such as in a performance, composition, or ensemble.
-
C.
creditedRoleOf
chosen
Indicates that a particular role or position is formally acknowledged as being held or performed by a specific entity in a credit or attribution context.
-
D.
performerRoleOfJamesBrown
Indicates that the specified role is one that was performed or held by James Brown.
-
E.
performerCreditedAs
Indicates that a performer is associated with a work under a specific credited name or alias.
- F. None of above.
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_69f76eacdd8c819094080d3991e6d37c |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.