Triple
T18783260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis Wolff |
E459310
|
entity |
| Predicate | roleAtBlueNoteRecords |
P68399
|
FINISHED |
| Object | business management |
—
|
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: business management | Statement: [Francis Wolff, roleAtBlueNoteRecords, business management]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtBlueNoteRecords Context triple: [Francis Wolff, roleAtBlueNoteRecords, business management]
-
A.
recordLabelCatalogRole
Indicates the role an entity plays in relation to a record label’s catalog, such as managing, distributing, or curating its releases.
-
B.
musicIndustryRole
chosen
Indicates the professional function or position an entity holds within the music industry ecosystem.
-
C.
hasArtistRole
Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
-
D.
hasRecordLabel
Indicates that an entity (typically a musical artist or release) is associated with or signed to a particular record label.
-
E.
workedAsSessionMusicianFor
Indicates that one entity performed as a session musician providing musical services or recordings for another entity, typically an artist, band, or production.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5977f34e48190a9932af330ea4f92 |
completed | April 20, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e48d16dd34819096e096d0c0e4c15c |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.