Triple
T27347461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time Further Out |
E684266
|
entity |
| Predicate | hasTrackInTimeSignature |
P1367
|
FINISHED |
| Object | "Unsquare Dance" in 7/4 time |
—
|
NE NERFINISHED |
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: "Unsquare Dance" in 7/4 time | Statement: [Time Further Out, hasTrackInTimeSignature, "Unsquare Dance" in 7/4 time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrackInTimeSignature Context triple: [Time Further Out, hasTrackInTimeSignature, "Unsquare Dance" in 7/4 time]
-
A.
hasTimeSignature
chosen
Indicates that a musical work, passage, or segment is associated with a specific time signature defining its rhythmic meter.
-
B.
hasTimeSignatureChange
Indicates that the time signature changes at some point within the duration of the referenced musical segment or piece.
-
C.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
D.
hasTrackSection
Indicates that an entity includes, is composed of, or is associated with a specific section or segment of a track.
-
E.
hasTimeSignatureComplexity
Indicates that one musical work, passage, or pattern is characterized by a specified level or type of complexity in its time signature.
- 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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: April 27, 2026, 11:46 a.m.