Triple
T1124172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decca Records |
E24680
|
entity |
| Predicate | recordLabelType |
P10647
|
FINISHED |
| Object | major label |
—
|
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: major label | Statement: [Decca Records, recordLabelType, major label]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordLabelType Context triple: [Decca Records, recordLabelType, major label]
-
A.
recordLabelFounded
Indicates that a particular record label was established or created by a specific founder or founding entity.
-
B.
recordLabelForHitRecording
Indicates that a record label is responsible for producing or releasing a particular hit recording.
-
C.
musicBrainzType
chosen
Indicates the specific MusicBrainz-defined category or classification assigned to an entity within the MusicBrainz database.
-
D.
ownedLabel
Indicates that a label is possessed or controlled by a particular owner or entity.
-
E.
recordingType
Indicates the specific kind or category of recording associated with an entity (e.g., audio, video, live, studio, etc.).
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4749ac8190b0fbddac2e9b2586 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.