Triple
T33916128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zig Zag |
E869456
|
entity |
| Predicate | isAudioContentType |
P48651
|
FINISHED |
| Object | music track |
—
|
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: music track | Statement: [Zig Zag, isAudioContentType, music track]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAudioContentType Context triple: [Zig Zag, isAudioContentType, music track]
-
A.
audioFormatSupported
Indicates that a particular audio format is recognized and can be correctly processed or played by a given system or component.
-
B.
hasAudioFeature
chosen
Indicates that one entity possesses or is associated with a specific audio-related characteristic or property.
-
C.
isAudioVisualRelease
Indicates that one entity is a release of content in an audio-visual format (such as film, video, or multimedia), associated with another entity.
-
D.
mediaTypeRecognized
Indicates that a system has successfully identified and accepted the type or format of a given media item as valid or supported.
-
E.
isAudioWorkForVisualWork
Indicates that one work serves as the audio component or soundtrack specifically created for or associated with a particular visual work.
- 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_69f3499869bc8190b6c33a81686af226 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:48 a.m.