Triple
T33414331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hollywood Squares |
E855670
|
entity |
| Predicate | typicalNumberOfCelebrities |
—
|
GENERATED |
| Object | 9 |
—
|
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: typicalNumberOfCelebrities Context triple: [Hollywood Squares, typicalNumberOfCelebrities, 9]
-
A.
typicalPerformerCount
chosen
Indicates the usual or standard number of performers involved in carrying out the associated activity or event.
-
B.
typicalNumberOfNominees
Indicates the usual or standard count of nominees associated with something, such as an award, position, or selection process.
-
C.
generaCountApproximate
Indicates an approximate or estimated number of genera associated with an entity.
-
D.
typicalNumberOfAthletes
Indicates the usual or average number of athletes associated with or participating in a given context, event, or entity.
-
E.
hasApproximateNumberOfPeople
Indicates that an entity is associated with an estimated or approximate count of people, rather than an exact number.
- 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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:36 a.m.