Triple
T26805301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Noble and His Orchestra |
E671816
|
entity |
| Predicate | notableArrangementStyle |
P199164
|
FINISHED |
| Object | smooth melodic lines |
—
|
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: smooth melodic lines | Statement: [Ray Noble and His Orchestra, notableArrangementStyle, smooth melodic lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableArrangementStyle Context triple: [Ray Noble and His Orchestra, notableArrangementStyle, smooth melodic lines]
-
A.
notableArrangementType
Indicates that one entity is characterized by or associated with a particular notable type of arrangement or configuration of another entity.
-
B.
notableArrangementOf
Indicates that one entity is a significant or noteworthy configuration, ordering, or spatial organization of the other entity.
-
C.
famousArrangement
Indicates that an arrangement or configuration is widely recognized or celebrated.
-
D.
musicalArrangement
Indicates that one entity is an arrangement or adaptation of another musical work.
-
E.
notableArrangementByComposer
Indicates that a particular musical arrangement is especially recognized or significant and was created by the specified composer.
- F. None of above. chosen
Provenance (4 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_69eeb3225a3c8190aaf6746efeded2f3 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69ff246e0d4481908bcec718e1d4025b |
completed | May 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69ff23cb70ac81909b776ace4597ae9c |
completed | May 9, 2026, 12:08 p.m. |
| PDg | Predicate description generation | batch_69ff246d53cc81909d5528224149b04b |
completed | May 9, 2026, 12:11 p.m. |
Created at: April 27, 2026, 4:25 a.m.