Triple
T15190664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brighter Days (album) |
E362999
|
entity |
| Predicate | hasTypeOfRecording |
P15615
|
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: [Brighter Days (album), hasTypeOfRecording, studio recording]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfRecording Context triple: [Brighter Days (album), hasTypeOfRecording, studio recording]
-
A.
recordingType
chosen
Indicates the specific kind or category of recording associated with an entity (e.g., audio, video, live, studio, etc.).
-
B.
hasRecordingWith
Indicates that one entity is associated with or includes a particular recording as part of its content or representation.
-
C.
isRecordedMusic
Indicates that something is music that has been captured and stored in a recorded form, rather than being performed live in the moment.
-
D.
hasRecordingContract
Indicates that an entity is formally bound by an agreement to produce recordings for another entity, typically a record label or similar organization.
-
E.
hasRecordType
Indicates that an entity is associated with or classified under a specific type or category of record.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067beedc8190abc0a94c7a38f85e |
completed | April 15, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69deb97bd8bc8190b2ad4888f97cf963 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:10 a.m.