Triple
T33531809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Pursuit |
E858813
|
entity |
| Predicate | hasNotableActingRoleFor |
—
|
GENERATED |
| Object | Claudia Schiffer |
—
|
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: hasNotableActingRoleFor Context triple: [In Pursuit, hasNotableActingRoleFor, Claudia Schiffer]
-
A.
hasPortrayedRole
Indicates that an entity has performed or depicted a specific role or character, typically in a work such as a film, play, or television show.
-
B.
creditedRoleOf
Indicates that a particular role or position is formally acknowledged as being held or performed by a specific entity in a credit or attribution context.
-
C.
hasPortrayedPersonRole
Indicates that an entity has performed or held a specific role in portraying a particular person (e.g., in a film, play, or other representation).
-
D.
actsIn
chosen
Indicates that an entity performs or appears in a creative work, such as a film, play, or show.
-
E.
hasFilmographyIn
Indicates that an individual has participated in or contributed to works within a specified filmography or body of film-related productions.
- 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_69f34978caf4819083f90eba4944d8e8 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:39 a.m.