Triple
T36540341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor Who: Relative Dimensions (audio drama) |
E900702
|
entity |
| Predicate | featuresDoctorNumber |
—
|
GENERATED |
| Object | 8 |
—
|
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: featuresDoctorNumber Context triple: [Doctor Who: Relative Dimensions (audio drama), featuresDoctorNumber, 8]
-
A.
doctorNumber
chosen
Indicates the unique identifying number assigned to a doctor in the context of a relationship or record.
-
B.
featuredDoctor
Indicates that a particular doctor is highlighted or promoted as a primary or notable medical professional in a given context.
-
C.
mainDoctor
Indicates that one entity serves as the primary or responsible doctor for another entity (such as a patient or medical case).
-
D.
hasDoctorActor
Indicates that a doctor participates as an acting agent in the specified event or relationship.
-
E.
doctor
Indicates that one entity serves as a medical professional providing diagnosis, treatment, or healthcare services to another entity.
- 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_69f76e5fbb388190b70c4c15573c8143 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:11 p.m.