Triple
T8544079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | And You and I |
E202276
|
entity |
| Predicate | hasTimeSignatureChange |
P83232
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [And You and I, hasTimeSignatureChange, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTimeSignatureChange Context triple: [And You and I, hasTimeSignatureChange, yes]
-
A.
hasTimeSignature
Indicates that a musical work, passage, or segment is associated with a specific time signature defining its rhythmic meter.
-
B.
hasTempoChanges
Indicates that the tempo of the piece or segment changes over its duration, rather than remaining constant.
-
C.
hasTempoMarking
Indicates that a musical passage, piece, or event is associated with a specific tempo indication or marking.
-
D.
usesChordChangesOf
Indicates that one musical work employs the same or substantially similar chord progression as another work.
-
E.
hasBPMApprox
Indicates an approximate beats-per-minute (BPM) value associated with an entity, rather than an exact measured tempo.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6e381d4819084e230389a3ecb77 |
completed | March 31, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69cbd113e05c81908f4f3fc1b5925164 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe30d453481908f897ed2b06e7534 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:18 p.m.