Triple
T23911268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marjoe Gortner |
E601943
|
entity |
| Predicate | exposedPractice |
P14188
|
FINISHED |
| Object | staged faith healings |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: staged faith healings | Statement: [Marjoe Gortner, exposedPractice, staged faith healings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exposedPractice Context triple: [Marjoe Gortner, exposedPractice, staged faith healings]
-
A.
exposes
Indicates making something visible, known, or vulnerable by removing cover, concealment, or protection.
-
B.
exposed
chosen
Indicates that one entity has been made visible, revealed, or left unprotected to another entity or to some external influence.
-
C.
exposedThrough
Indicates that something becomes revealed, accessible, or affected as a result of passing through or being subjected to another thing or medium.
-
D.
providesExposureTo
Indicates that one entity gives another entity the opportunity to be seen, noticed, or become known by a particular audience, environment, or set of influences.
-
E.
excludedPractice
Indicates that a particular practice, behavior, or activity is explicitly not allowed, permitted, or covered within a given context or agreement.
- F. None of above.
Provenance (3 batches)
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_69e2953a187081908346a9f36e85fc98 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ce94f65c8190807723344fa0b837 |
completed | April 29, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:38 p.m.