Triple
T37376227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anneliese Michel |
E927988
|
entity |
| Predicate | hasPractitionerInvolved |
—
|
GENERATED |
| Object | Ernst Alt |
—
|
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: hasPractitionerInvolved Context triple: [Anneliese Michel, hasPractitionerInvolved, Ernst Alt]
-
A.
hasPractitioners
chosen
Indicates that an entity is associated with one or more individuals who actively practice, perform, or apply it.
-
B.
hasProfessionalRelationshipWith
Indicates a formal, work-related connection or collaboration exists between the two entities in a professional context.
-
C.
administeredInPracticeBy
Indicates that a medical treatment, procedure, or intervention is carried out or delivered by a specific healthcare practice or provider entity.
-
D.
hasAuthorityInvolved
Indicates that an authority or official body is involved in, oversees, or has jurisdiction over the referenced situation or relationship.
-
E.
usedMedicalPersonnel
Indicates that an entity employed or made use of medical personnel in performing an action or providing a service.
- 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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:16 p.m.