Triple
T37376231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anneliese Michel |
E927988
|
entity |
| Predicate | numberOfExorcismSessions |
—
|
GENERATED |
| Object | 67 |
—
|
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: numberOfExorcismSessions Context triple: [Anneliese Michel, numberOfExorcismSessions, 67]
-
A.
exorcisedBy
Indicates that an entity has had a spirit, demon, or malign supernatural influence driven out or removed by another entity.
-
B.
apparitionWitnessCount
Indicates the number of distinct observers who witnessed a particular apparition event.
-
C.
numberOfExiles
Indicates the quantity of entities that have been exiled in the context of a given subject or situation.
-
D.
hasFormerExorcistCharacter
Indicates that a work includes at least one character who previously served as an exorcist but no longer does so.
-
E.
apparitionFrequency
Indicates how often an entity appears, manifests, or becomes perceptible within a given context or timeframe.
- F. None of above. chosen
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.