Triple
T28998964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Grief (Demo) |
E736248
|
entity |
| Predicate | audioWorkForm |
P165885
|
FINISHED |
| Object | song |
—
|
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: song | Statement: [Good Grief (Demo), audioWorkForm, song]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audioWorkForm Context triple: [Good Grief (Demo), audioWorkForm, song]
-
A.
audioStack
Indicates that one audio element is layered or queued on top of another within an ordered audio sequence or mix.
-
B.
audioStandard
Indicates the audio format or specification standard that applies to the associated media or device.
-
C.
audioModulation
Indicates a relationship where one audio signal or parameter is used to vary or control another audio signal’s characteristics (such as amplitude, frequency, or timbre) over time.
-
D.
audioProcessing
Indicates that one entity performs operations to analyze, modify, or transform audio data associated with another entity.
-
E.
soundRecordingBy
Indicates that a sound recording was created, performed, or produced by a particular agent (such as an artist, band, or producer).
- 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_69f077eacd0481908ef0bafd74491cd0 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f65fb930408190a871ef5be8ca99cf |
completed | May 2, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65ad638ac8190a17bb987fce53279 |
completed | May 2, 2026, 8:13 p.m. |
Created at: April 28, 2026, 9:33 a.m.