Triple
T31160669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Word of Mouth |
E794327
|
entity |
| Predicate | musicalRoleOfEnsemble |
P24740
|
FINISHED |
| Object | backing band for Jaco Pastorius |
—
|
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: backing band for Jaco Pastorius | Statement: [Word of Mouth, musicalRoleOfEnsemble, backing band for Jaco Pastorius]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalRoleOfEnsemble Context triple: [Word of Mouth, musicalRoleOfEnsemble, backing band for Jaco Pastorius]
-
A.
musicalEnsembleRole
Indicates the specific function or position an individual holds within a musical ensemble, such as performer, conductor, or composer.
-
B.
musicalRole
chosen
Indicates the specific function or part an entity performs within a musical context, such as in a performance, composition, or ensemble.
-
C.
orchestralRole
Indicates the specific function or position an entity holds within an orchestra (e.g., conductor, principal violin, section player).
-
D.
isPartOfEnsemble
Indicates that an entity belongs to, or is a member of, a larger group or ensemble.
-
E.
musicSceneRole
Indicates the specific function or position an entity holds within a particular music scene or musical community.
- 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_69f224d504908190b01278dcb7fc3fa7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: April 29, 2026, 9:07 p.m.