Triple
T37986727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | About Schmidt |
E947707
|
entity |
| Predicate | supportingActressAwardNomination |
—
|
GENERATED |
| Object | Kathy Bates |
—
|
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: supportingActressAwardNomination Context triple: [About Schmidt, supportingActressAwardNomination, Kathy Bates]
-
A.
supportingActressNominee
chosen
Indicates that a person has been nominated for an award in the category of supporting actress.
-
B.
supportingActressRole
Indicates that an actress performs a supporting (non-leading) role in a particular production or work.
-
C.
supportingActorNominee
Indicates that an entity has been nominated for an award recognizing their performance in a supporting acting role.
-
D.
leadingActressNominee
Indicates that a person has been nominated for an award in the leading actress category for a particular work or performance.
-
E.
bestSupportingActressWinner
Indicates that the subject is the person who won the Best Supporting Actress award for the specified work, year, or event.
- 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_69f76ef8a1d08190a741bbbc5970e3b3 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.