Triple
T37994976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Beginning |
E947922
|
entity |
| Predicate | hasMainPerformerStageName |
—
|
GENERATED |
| Object | Taboo |
—
|
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: hasMainPerformerStageName Context triple: [The Beginning, hasMainPerformerStageName, Taboo]
-
A.
hasPerformerGivenName
Indicates that a performer is associated with a specific given (first) name.
-
B.
hasRecordingArtistStageName
chosen
Indicates that a recording artist is known or performs under a particular stage name.
-
C.
performedUnderStageNameOf
Indicates that an action or performance was carried out using a particular stage name rather than the performer’s legal or original name.
-
D.
hasMainPerformerOccupation
Indicates that an entity’s primary or main performer is associated with a specified occupation or professional role.
-
E.
associatedWithArtistStageName
Indicates that an entity has a relationship to, or is connected with, a particular artist’s stage name.
- F. None of above.
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_69f76efa37088190be5416b7ef1ca275 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.