Triple
T16722785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yesterdays New Quintet |
E406390
|
entity |
| Predicate | usesInstrumentationStyle |
P30520
|
FINISHED |
| Object | live-sounding instrumentation |
—
|
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: live-sounding instrumentation | Statement: [Yesterdays New Quintet, usesInstrumentationStyle, live-sounding instrumentation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesInstrumentationStyle Context triple: [Yesterdays New Quintet, usesInstrumentationStyle, live-sounding instrumentation]
-
A.
usesSparseInstrumentation
Indicates that an entity performs monitoring or data collection with minimal or selectively placed instrumentation rather than comprehensive coverage.
-
B.
supportsDynamicInstrumentation
Indicates that an entity is capable of being instrumented or monitored at runtime without requiring recompilation or restart.
-
C.
usesAsStyleOf
chosen
Indicates that one entity adopts or applies another entity as a stylistic model, method, or manner of expression.
-
D.
usesInstrument
Indicates that an agent performs an action by employing a specific instrument or tool as the means to carry it out.
-
E.
usesCountryInstrumentation
Indicates that an entity performs or analyzes something using instrumentation or tools originating from, associated with, or specific to a particular country.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e387449eb08190b174f8e142ea631b |
completed | April 18, 2026, 1:29 p.m. |
| PD | Predicate disambiguation | batch_69e319c379f88190ac0adf812486f598 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:20 a.m.