Triple
T31295727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Black Hat |
E798066
|
entity |
| Predicate | associatedWithArtistGender |
—
|
GENERATED |
| Object | woman artist |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithArtistGender Context triple: [The Black Hat, associatedWithArtistGender, woman artist]
-
A.
associatedWithArtistType
Indicates that an entity has a connection or linkage to a particular category or type of artist.
-
B.
hasPerformerGender
Indicates that an action, event, or performance is associated with the gender of the performer who carries it out.
-
C.
musicalArtistAssociated
Indicates a relationship where one musical artist is professionally connected or affiliated with another, such as through collaboration, membership, or frequent association.
-
D.
originalPerformerGender
Indicates the gender of the person who first performed or originated the work, role, or piece.
-
E.
associatedWithArtistGroup
Indicates that an entity has a relationship or connection with a particular artist group or collective.
- F. None of above. chosen
Provenance (1 batch)
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_69f224dfde288190af313f3c221c857e |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 9:14 p.m.