Triple
T34443992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hot Pursuit |
E884167
|
entity |
| Predicate | hasReeseWitherspoonAs |
—
|
GENERATED |
| Object | lead actress and producer |
—
|
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: hasReeseWitherspoonAs Context triple: [Hot Pursuit, hasReeseWitherspoonAs, lead actress and producer]
-
A.
hasKhloeRole
Indicates that an entity holds or is assigned the specific role identified as "Khloe" in relation to another entity or context.
-
B.
hasAssociatedActress
chosen
Indicates that an entity is linked to an actress who is associated with it in a relevant context (e.g., participation, representation, or involvement).
-
C.
hasHumanCast
Indicates that a work or production features human performers as part of its cast.
-
D.
starredActorWith
Indicates that one entity participated as an actor in a production together with another specified actor.
-
E.
hasRumoredCastMember
Indicates that an entity is reported or speculated to include a particular person in its cast, without confirmed or official status.
- 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_69f349c548d88190978e2a82502c03d0 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 2 a.m.