Triple
T37230577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primetime Emmy Award for Outstanding Performer in an Animated Program |
E923120
|
entity |
| Predicate | originalCategoryName |
—
|
GENERATED |
| Object | Outstanding Voice-Over Performance |
—
|
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: originalCategoryName Context triple: [Primetime Emmy Award for Outstanding Performer in an Animated Program, originalCategoryName, Outstanding Voice-Over Performance]
-
A.
canonicalCategory
Indicates that an entity is assigned to its primary or standard category within a classification system.
-
B.
originalChannelCategory
Indicates the category or type of channel an item or communication originally belonged to before any changes or reclassification.
-
C.
formerCategory
chosen
Indicates that an entity previously belonged to a given category but no longer does.
-
D.
uniformCategory
Indicates that two or more entities share the same classification or type within a defined category system.
-
E.
sampleCategory
Indicates that an item or instance belongs to, or is classified under, a particular sample category.
- 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_69f76ea7f0008190b31b8e30f3d05a71 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:15 p.m.