Triple
T23911259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marjoe Gortner |
E601943
|
entity |
| Predicate | activeAsEvangelistUntil |
P154344
|
FINISHED |
| Object | 1960s |
—
|
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: 1960s | Statement: [Marjoe Gortner, activeAsEvangelistUntil, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activeAsEvangelistUntil Context triple: [Marjoe Gortner, activeAsEvangelistUntil, 1960s]
-
A.
placeOfEvangelisticActivity
Indicates the location where evangelistic or missionary activities are carried out.
-
B.
hasEvangelizationFocus
Indicates that an entity is oriented toward or primarily concerned with evangelization activities or objectives.
-
C.
isMissionary
Indicates that an entity serves as a missionary, engaging in religious outreach or proselytizing activities toward others.
-
D.
stillActiveAsChurch
Indicates that the building or organization continues to function and be used as a church at the present time.
-
E.
hasNotableMissionary
Indicates that an entity is associated with, or has, a notable missionary linked to it.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:38 p.m.