Triple
T16901774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F major |
E424453
|
entity |
| Predicate | pitchClassSet |
P49771
|
FINISHED |
| Object | {F, G, A, B♭, C, D, E} |
—
|
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: {F, G, A, B♭, C, D, E} | Statement: [F major, pitchClassSet, {F, G, A, B♭, C, D, E}]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pitchClassSet
Context triple: [F major, pitchClassSet, {F, G, A, B♭, C, D, E}]
-
A.
hasPitch
chosen
Indicates that one entity possesses or is characterized by a specific pitch (such as a tonal, acoustic, or frequency-related property).
-
B.
tonalSystem
Indicates a relationship where a language or musical system is characterized by a specific set of tonal patterns or pitch distinctions that structure its sounds or expressions.
-
C.
tonalCharacteristic
Indicates the specific quality or character of a sound’s tone, such as its color, texture, or expressive nuance, in relation to an entity.
-
D.
phoneticValue
Indicates a relationship where a symbol, sign, or written element is associated with the specific sound or sequence of sounds it represents.
-
E.
pitchConvertedTo
Indicates that one pitch has been transformed or translated into another pitch or pitch representation.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8dc7cf08190ad935935d8daf1d0 |
completed | April 18, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69e32b9489408190bcb2ede567ff5bf9 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:29 a.m.