Triple
T33096881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oscars 2016 |
E846932
|
entity |
| Predicate | numberOfActingCategoriesWithNoNonWhiteNominees |
—
|
GENERATED |
| Object | 4 |
—
|
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: numberOfActingCategoriesWithNoNonWhiteNominees Context triple: [Oscars 2016, numberOfActingCategoriesWithNoNonWhiteNominees, 4]
-
A.
academyAwardsNominationsCount
Indicates the number of times an entity has been nominated for an Academy Award.
-
B.
numberOfEmmyNominations
Indicates the total count of Emmy Award nominations received by an entity.
-
C.
typicalNumberOfNominees
Indicates the usual or standard count of nominees associated with something, such as an award, position, or selection process.
-
D.
tonyNominationsCount
Indicates the number of Tony Award nominations an entity has received.
-
E.
isOscarCategory
Indicates that a given entity is a category or award type within the Oscars (Academy Awards) system.
- 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_69f3495590dc8190aa04f3dec74ce976 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:26 a.m.