Triple
T19915326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strange and Sacred Noise |
E478649
|
entity |
| Predicate | intendedEnsembleSize |
P137797
|
FINISHED |
| Object | small to medium percussion ensemble |
—
|
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: small to medium percussion ensemble | Statement: [Strange and Sacred Noise, intendedEnsembleSize, small to medium percussion ensemble]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedEnsembleSize Context triple: [Strange and Sacred Noise, intendedEnsembleSize, small to medium percussion ensemble]
-
A.
intendedEnsemble
Indicates that one entity is designed, chosen, or specified to function as the ensemble or group counterpart associated with another entity.
-
B.
hasEnsembleNumbers
Indicates that an entity is associated with one or more ensemble numbers used to identify it within a grouped or collective context.
-
C.
ensembleSize
Indicates the number of individual members or participants that make up a given group or ensemble.
-
D.
typeOfEnsemble
Indicates the specific kind or category of ensemble that an entity belongs to or represents.
-
E.
hasApproximateNumberOfMusicians
Indicates that an entity is associated with an estimated or approximate count of musicians involved with it.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6599394f081909246006c2e83bacc |
completed | April 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:53 p.m.