Triple
T34880551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Beetson |
E1005997
|
entity |
| Predicate | numberOfStateOfOriginGamesAsCoach |
—
|
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: numberOfStateOfOriginGamesAsCoach Context triple: [Arthur Beetson, numberOfStateOfOriginGamesAsCoach, 9]
-
A.
coachedGamesFor
Indicates that one entity served as the coach in a set of games for another entity (such as a team or player).
-
B.
numberOfCoaches
Indicates the total count of coaches associated with a given entity or context.
-
C.
coachedInRegion
Indicates that a person or organization has provided coaching activities within a specified geographic region.
-
D.
countryCoached
Indicates that a person has served as a coach for a particular country’s team or delegation.
-
E.
hasCoachedFor
Indicates that one entity has served in a coaching role for another entity, such as a team, organization, or individual.
- F. None of above. chosen
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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4 p.m.