Triple
T38050312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twyman–Stokes Teammate of the Year Award |
E949736
|
entity |
| Predicate | numberOfNomineesPerConference |
—
|
GENERATED |
| Object | 6 |
—
|
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: numberOfNomineesPerConference Context triple: [Twyman–Stokes Teammate of the Year Award, numberOfNomineesPerConference, 6]
-
A.
typicalNumberOfNominees
chosen
Indicates the usual or standard count of nominees associated with something, such as an award, position, or selection process.
-
B.
totalNumberOfNominees
Indicates the total count of nominees associated with a particular entity or event.
-
C.
maximumNominationsPerFilm
Indicates the highest number of nominations that any single film is allowed to receive.
-
D.
mostNominationsCount
Indicates the highest number of nominations that any entity in the relevant set has received.
-
E.
numberOfSeriesPerConference
Indicates the total count of series associated with or occurring within a given conference.
- 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_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.