Triple
T5275545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Cage |
E119363
|
entity |
| Predicate | usedCompositionalTechnique |
P3047
|
FINISHED |
| Object | chance operations |
—
|
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: chance operations | Statement: [John Cage, usedCompositionalTechnique, chance operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedCompositionalTechnique Context triple: [John Cage, usedCompositionalTechnique, chance operations]
-
A.
usedByTechnique
Indicates that a particular technique makes use of or employs the referenced entity as part of its method or process.
-
B.
artisticTechnique
Indicates the method, style, or process used to create or execute an artistic work.
-
C.
hasTechnique
chosen
Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
-
D.
compositionalApproach
Indicates an approach where something is constructed, analyzed, or understood as a combination of smaller constituent parts and their arrangement.
-
E.
compositionalFeature
Indicates that one entity is a structural or constituent feature that forms part of the composition or makeup of 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8c9c72b08190947b6b955ac1bb5a |
completed | March 20, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69bd844a56b48190ad743c42246e02dd |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:51 p.m.