Triple
T36800418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariane et Barbe-bleue |
E909304
|
entity |
| Predicate | firstArianePerformer |
—
|
GENERATED |
| Object | Félice Litvinne |
—
|
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: firstArianePerformer Context triple: [Ariane et Barbe-bleue, firstArianePerformer, Félice Litvinne]
-
A.
firstMajorBroadcastPerformer
Indicates that the subject is the earliest or primary performer associated with the first major broadcast of the object.
-
B.
firstCrewMember
Indicates that the subject is the first (earliest or primary) member within a specified crew or group.
-
C.
performerOnFirstRecording
Indicates that an entity performed on the first recording of another entity (such as a work, song, or composition).
-
D.
performerOfPremiere
chosen
Indicates that an entity is the performer who gave the first (premiere) performance of a work or event.
-
E.
firstAuroraDancer
Indicates that an entity is the first individual to perform or embody the role of an Aurora Dancer in a given context or sequence.
- 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_69f76e7b98888190899b6478a82ad6ae |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:12 p.m.