Triple
T27346552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Movement and Location |
E684246
|
entity |
| Predicate | featuresVirtuosicMusicianship |
P170503
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Movement and Location, featuresVirtuosicMusicianship, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresVirtuosicMusicianship Context triple: [Movement and Location, featuresVirtuosicMusicianship, true]
-
A.
virtuosityLevel
Indicates the degree or extent of exceptional skill or mastery demonstrated in performing an action or activity.
-
B.
expressiveVirtuosity
chosen
Indicates a relationship where an entity demonstrates exceptional technical skill combined with deep emotional or artistic expressiveness in its performance or creation.
-
C.
musicalAbility
Indicates that an entity possesses skill, talent, or proficiency in performing, creating, or understanding music.
-
D.
featuresMusician
Indicates that something (such as a work, event, or recording) prominently includes or showcases a particular musician.
-
E.
isMoreMusicallyAccomplishedThan
Indicates that one entity possesses a higher level of musical skill, achievement, or recognition than another entity.
- 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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
Created at: April 27, 2026, 11:46 a.m.