Triple
T10571966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John MacArthur |
E249502
|
entity |
| Predicate | viewOnPreaching |
P11131
|
FINISHED |
| Object | emphasizes verse-by-verse expository preaching |
—
|
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: emphasizes verse-by-verse expository preaching | Statement: [John MacArthur, viewOnPreaching, emphasizes verse-by-verse expository preaching]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnPreaching Context triple: [John MacArthur, viewOnPreaching, emphasizes verse-by-verse expository preaching]
-
A.
preachesFrom
chosen
Indicates that a person delivers a sermon, teaching, or religious message using a particular text, source, or location as the basis.
-
B.
viewOnChrist
Indicates a person's stance, belief, or perspective regarding Jesus Christ.
-
C.
viewOnFaith
Indicates a relationship where one entity holds or expresses a particular belief, stance, or perspective about faith or religious matters in relation to another entity.
-
D.
viewOnDiscipleship
Indicates a perspective, stance, or teaching that someone holds regarding the concept or practice of discipleship.
-
E.
viewOnChurch
Indicates that something has a view overlooking or directed toward a church.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52747a8d88190ab59333937180edc |
completed | April 7, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69d51901ff6c819095e7b528170a69dc |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:37 p.m.