Triple
T23877449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Representation of Chaos |
E592906
|
entity |
| Predicate | scoreFeatures |
P154299
|
FINISHED |
| Object | orchestral introduction without chorus |
—
|
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 introduction without chorus | Statement: [The Representation of Chaos, scoreFeatures, orchestral introduction without chorus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scoreFeatures Context triple: [The Representation of Chaos, scoreFeatures, orchestral introduction without chorus]
-
A.
featuresScoreBy
Indicates a scoring relationship where a feature or set of features is evaluated and assigned a score according to a specified criterion or entity.
-
B.
featuresScoringSystem
Indicates that one entity incorporates or provides a particular scoring or rating system as part of its functionality or design.
-
C.
featuresOriginalScore
Indicates that an entity includes or is accompanied by its initial, unaltered score or musical composition.
-
D.
sharesFeatureExtractor
Indicates that two or more models or components use the same feature extraction mechanism or module.
-
E.
featuresSampling
Indicates that an entity includes or employs a particular method or configuration for sampling.
- 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_69e25d23a5c88190ae3999c70ca15e08 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cc02277c8190b0c15d6525f3b38d |
completed | April 29, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:15 p.m.