Triple
T20542596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skinned |
E504381
|
entity |
| Predicate | isRecordedMusicOfType |
P120633
|
FINISHED |
| Object | studio recording |
—
|
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: studio recording | Statement: [Skinned, isRecordedMusicOfType, studio recording]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRecordedMusicOfType Context triple: [Skinned, isRecordedMusicOfType, studio recording]
-
A.
isRecordedMusicFor
Indicates that one entity is music that has been recorded specifically to accompany, represent, or be used with another entity (such as a work, event, or medium).
-
B.
isRecordedMusic
Indicates that something is music that has been captured and stored in a recorded form, rather than being performed live in the moment.
-
C.
isMusicalWork
Indicates that one entity is a musical composition or piece created as an artistic work.
-
D.
isAbstractMusic
Indicates that something represents or is characterized by non-representational, conceptual, or non-traditional forms of music rather than concrete, conventional musical structures.
-
E.
notableRecordingType
chosen
Indicates that the subject is notably associated with recordings of a particular type or format.
- 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a293feac8190b27848b64f2db1fe |
completed | April 20, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69e59fe5592c8190bb6122b784496d02 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:38 a.m.