Triple
T25154679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beat Generation |
E626273
|
entity |
| Predicate | hasAestheticInfluence |
P20089
|
FINISHED |
| Object | jazz improvisation |
—
|
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: jazz improvisation | Statement: [Beat Generation, hasAestheticInfluence, jazz improvisation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAestheticInfluence Context triple: [Beat Generation, hasAestheticInfluence, jazz improvisation]
-
A.
hasEnduringInfluenceOn
Indicates that one entity exerts a lasting, long-term impact on another entity’s state, development, or behavior.
-
B.
influenceOnArt
chosen
Indicates that one entity has affected, shaped, or inspired the artistic style, content, or development of another.
-
C.
wereInfluencedBy
Indicates that one entity’s ideas, actions, or characteristics were shaped or affected by another entity.
-
D.
designInfluenceOn
Indicates that one design, designer, or design-related factor has an effect on shaping, guiding, or altering another design or design outcome.
-
E.
hasEnduringInfluence
Indicates that one entity continues to significantly affect, shape, or inform another entity or context over an extended period of time.
- 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_69e2ff2834ec8190b0872e2ec3d76023 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f46b86d0c08190808607d112b281e0 |
completed | May 1, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:30 a.m.