Triple
T31649626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Finlay's Casebook |
E807680
|
entity |
| Predicate | hasCountryDoctorProtagonist |
—
|
GENERATED |
| Object | true |
—
|
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: hasCountryDoctorProtagonist Context triple: [Dr. Finlay's Casebook, hasCountryDoctorProtagonist, true]
-
A.
hasDoctorActor
Indicates that a doctor participates as an acting agent in the specified event or relationship.
-
B.
hasDoctorCharacter
chosen
Indicates that an entity includes or features a character whose role or profession is that of a doctor.
-
C.
hasSeriesDoctor
Indicates that a particular doctor is associated with or responsible for a given series (such as a TV show, book series, or medical series).
-
D.
portrayedDoctorBy
Indicates that one entity served in the role of portraying a doctor character associated with another entity (such as a show, film, or franchise).
-
E.
featuredDoctor
Indicates that a particular doctor is highlighted or promoted as a primary or notable medical professional in a given 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_69f348d9ce58819093ea2da83cbeeec1 |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 10:52 p.m.