Triple
T5730895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Now's the Time |
E126379
|
entity |
| Predicate | commonPerformanceContext |
P44703
|
FINISHED |
| Object | jam sessions |
—
|
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: jam sessions | Statement: [Now's the Time, commonPerformanceContext, jam sessions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonPerformanceContext Context triple: [Now's the Time, commonPerformanceContext, jam sessions]
-
A.
hasPerformanceContext
chosen
Indicates that an entity is associated with a specific performance-related situation, setting, or set of conditions under which it operates or is evaluated.
-
B.
performanceMeasurement
Indicates the act of assessing, quantifying, or evaluating how well an entity, process, or system performs against defined criteria or objectives.
-
C.
featuresPerformanceBy
Indicates a relationship where something (such as an event, work, or production) includes or showcases a performance given by a particular performer or group.
-
D.
performanceModel
Indicates a relationship where one entity serves as a performance model that represents, predicts, or characterizes the performance behavior of another entity.
-
E.
performanceTuningBy
Indicates that an entity’s performance has been adjusted, optimized, or fine-tuned by 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c6488881909bed4a4534d57f70 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:47 p.m.