Triple
T29038501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Swing Face |
E737930
|
entity |
| Predicate | featuresMusicalAttribute |
P46763
|
FINISHED |
| Object | fast tempos |
—
|
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: fast tempos | Statement: [Big Swing Face, featuresMusicalAttribute, fast tempos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresMusicalAttribute Context triple: [Big Swing Face, featuresMusicalAttribute, fast tempos]
-
A.
musicalAttribute
chosen
Indicates a relationship where a musical work, performance, or element is characterized by a specific musical property or quality (such as tempo, key, style, or mood).
-
B.
hasMusicalStyleCharacteristic
Indicates that something possesses or exhibits a particular musical style as a defining characteristic.
-
C.
featuresRhythm
Indicates that something includes, exhibits, or is characterized by a particular rhythmic pattern or structure.
-
D.
featuresReRecordedSong
Indicates that an entity (such as an album, release, or performance) includes a song that has been recorded again in a new version distinct from its original recording.
-
E.
featuresSongwriter
Indicates that a musical work includes or credits a particular person as its songwriter.
- 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_69f077efb3848190b41574e1670f6ae2 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fef2db323c8190821bda53f22a42be |
completed | May 9, 2026, 8:39 a.m. |
| PD | Predicate disambiguation | batch_69fef21d63c88190abf6a99b59b3c655 |
completed | May 9, 2026, 8:36 a.m. |
Created at: April 28, 2026, 10 a.m.