Triple
T35134300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Sapper |
E1014525
|
entity |
| Predicate | numberOfCompassoDOroAwards |
—
|
GENERATED |
| Object | 10 |
—
|
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: numberOfCompassoDOroAwards Context triple: [Richard Sapper, numberOfCompassoDOroAwards, 10]
-
A.
numberOfAwards
chosen
Indicates the total count of awards that have been received by an entity.
-
B.
GoldenLionAwardedAt
Indicates that a Golden Lion award was conferred at a particular event, venue, or edition of a festival.
-
C.
mostAwardsWinnerCount
Indicates the number of awards received by the entity that holds the record for winning the most awards within a given context.
-
D.
numberOfAwardsPerYear
Indicates the number of awards associated with an entity within a given year.
-
E.
numberOfGoldenBootAwards
Indicates the count of Golden Boot awards that an entity has received.
- 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_69f76dd9c1848190af70d4882a2c1ad7 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:02 p.m.