Triple
T36969758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hesitation |
E914528
|
entity |
| Predicate | artistRoleOfWyntonMarsalis |
P24742
|
FINISHED |
| Object | trumpeter |
—
|
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: trumpeter | Statement: [Hesitation, artistRoleOfWyntonMarsalis, trumpeter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artistRoleOfWyntonMarsalis Context triple: [Hesitation, artistRoleOfWyntonMarsalis, trumpeter]
-
A.
contributorRole_Thelonious Monk
Indicates the specific role or capacity in which Thelonious Monk contributed to a work, project, or production.
-
B.
musicalEnsembleRole
Indicates the specific function or position an individual holds within a musical ensemble, such as performer, conductor, or composer.
-
C.
featuresSaxophonist
Indicates that a musical work, performance, or recording prominently includes a saxophonist as part of its featured personnel.
-
D.
orchestralRole
Indicates the specific function or position an entity holds within an orchestra (e.g., conductor, principal violin, section player).
-
E.
artistOccupation
chosen
Indicates the professional role or job that an artist holds or performs.
- 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_69f76e8d13b4819089af24a47ce092fc |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.