Triple
T13055773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moog synthesizer |
E327566
|
entity |
| Predicate | typicalPolyphony |
P68594
|
FINISHED |
| Object | monophonic |
—
|
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: monophonic | Statement: [Moog synthesizer, typicalPolyphony, monophonic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPolyphony Context triple: [Moog synthesizer, typicalPolyphony, monophonic]
-
A.
polyphony
chosen
Indicates a relationship where multiple independent melodic or vocal lines occur simultaneously, creating a layered or harmonically interwoven texture.
-
B.
typicalNumberOfVoices
Indicates the usual or characteristic number of distinct voices or parts involved in performing or realizing something (such as a musical work or texture).
-
C.
hasApproximateNumberOfMusicians
Indicates that an entity is associated with an estimated or approximate count of musicians involved with it.
-
D.
hasMelodyInstrument
Indicates that something uses or features a particular instrument to carry the main melody.
-
E.
typicalTempoPattern
Indicates the characteristic or commonly occurring tempo progression or rhythmic pattern associated with an action or event.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
Created at: April 9, 2026, 8:58 p.m.