Triple
T33566690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skaggs |
E859778
|
entity |
| Predicate | hasNotableSportsBearer |
—
|
GENERATED |
| Object | Tyler Skaggs |
—
|
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: hasNotableSportsBearer Context triple: [Skaggs, hasNotableSportsBearer, Tyler Skaggs]
-
A.
hasAthlete
Indicates a relationship where an entity (such as a team, organization, or event) includes or is associated with one or more athletes.
-
B.
hasNotableSportAssociation
Indicates a relationship where an entity is significantly connected to, recognized for, or prominently involved with a particular sport or sports organization.
-
C.
hasSportsRole
Indicates that an entity holds or is assigned a specific role or position within a sports context or organization.
-
D.
hasAssociatedSportFigure
chosen
Indicates that an entity is linked or related to a particular sports figure (such as an athlete, coach, or sports personality).
-
E.
hasSportsStatus
Indicates that an entity holds a particular sports-related status, role, or classification (such as amateur, professional, active, or retired) within a sporting context.
- 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_69f3497c1d288190a844ea699914e038 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:40 a.m.