Triple
T33875938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Nile |
E868354
|
entity |
| Predicate | engineerOfRecording |
P60232
|
FINISHED |
| Object | Rudy Van Gelder |
—
|
NE NERFINISHED |
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: Rudy Van Gelder | Statement: [Black Nile, engineerOfRecording, Rudy Van Gelder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: engineerOfRecording Context triple: [Black Nile, engineerOfRecording, Rudy Van Gelder]
-
A.
recordingEngineer
chosen
Indicates that one entity serves as the recording engineer responsible for capturing and managing the audio for another entity (such as a musical work, session, or performance).
-
B.
masteringEngineer
Indicates that one entity serves as the mastering engineer responsible for finalizing the audio of another entity (such as a recording or album).
-
C.
mixingEngineer
Indicates that one entity is the audio professional responsible for combining and balancing the recorded elements of another entity (such as a song, track, or project).
-
D.
soundEngineering
Indicates the relationship in which an entity designs, manipulates, or manages audio elements and acoustics for recording, production, or live sound.
-
E.
recordedWith
Indicates that something was captured, documented, or produced using a particular tool, device, medium, or method.
- 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_69f34995b81c8190acdb45cea5a10eff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70105ee0c8190aa236f3b6498c0e8 |
completed | May 3, 2026, 8:02 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5a4f7881909324eb3c20ca96f1 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:48 a.m.