Triple
T32732305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Bastard |
E836985
|
entity |
| Predicate | hasCollisionDriverOfOtherCar |
—
|
GENERATED |
| Object | Donald Turnupseed |
—
|
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: hasCollisionDriverOfOtherCar Context triple: [Little Bastard, hasCollisionDriverOfOtherCar, Donald Turnupseed]
-
A.
driversInCollision
chosen
Indicates that the related entities are drivers who were involved in the same vehicle collision or traffic accident.
-
B.
catcherInCollision
Indicates that an entity serves as the catcher involved in a collision event with another entity.
-
C.
alsoAssociatedWithDriver
Indicates that an entity has an additional or secondary association with a specified driver, beyond any primary or previously stated driver relationship.
-
D.
hasVehicleCrossing
Indicates that a location or route includes a designated crossing point specifically intended for vehicles to pass through.
-
E.
driverOfVictimVehicle
Indicates that an entity is the person who was driving the vehicle occupied or owned by the victim at the time of the relevant incident.
- 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_69f34935fb048190ad4967420581f835 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:11 a.m.