Triple
T33372991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camelot |
E854547
|
entity |
| Predicate | originalGuenevereActor |
—
|
GENERATED |
| Object | Julie Andrews |
—
|
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: originalGuenevereActor Context triple: [Camelot, originalGuenevereActor, Julie Andrews]
-
A.
roleOfGueneverePlayedBy
chosen
Indicates that a specified person or performer portrays the character Guenevere in a production or performance.
-
B.
originalElizabethIActor
Indicates that the subject is the actor who originally portrayed the character of Elizabeth I in a given production or work.
-
C.
roleOfLancelotPlayedBy
Indicates that a person is the actor who portrays the character Lancelot in a performance or production.
-
D.
roleOfKingArthurPlayedBy
Indicates that the role or character of King Arthur is portrayed or performed by a particular actor or performer.
-
E.
JudithAndersonRole
Indicates that a role is one portrayed or performed by Judith Anderson.
- 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_69f3496ca10c8190908640d18fa00832 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:35 a.m.