Triple
T9376128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pyramid Song |
E225649
|
entity |
| Predicate | featuresOrchestration |
P48742
|
FINISHED |
| Object | orchestral arrangement by Jonny Greenwood |
—
|
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: orchestral arrangement by Jonny Greenwood | Statement: [Pyramid Song, featuresOrchestration, orchestral arrangement by Jonny Greenwood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresOrchestration Context triple: [Pyramid Song, featuresOrchestration, orchestral arrangement by Jonny Greenwood]
-
A.
featuresOrchestrationBy
chosen
Indicates that something (such as a work, event, or performance) is characterized by or includes orchestration carried out by a particular agent or entity.
-
B.
featuresService
Indicates that one entity provides, includes, or offers a particular service as a notable characteristic or component.
-
C.
featuresIn
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
-
D.
featuresSuit
Indicates that one entity includes or presents a particular suit (e.g., clothing, armor, or outfit) as a notable component or attribute.
-
E.
featuresSegment
Indicates that one entity includes or highlights a particular segment or portion of another entity as a notable part of it.
- 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_69ca842d8ee88190aaaa639aa953185d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50aa3d008190836d0fde840da7d2 |
completed | April 1, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69cc7a6c733881908aa3070830c2100b |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:44 p.m.