Triple
T34104923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howell Harris |
E874676
|
entity |
| Predicate | preachingStyle |
P178238
|
FINISHED |
| Object | itinerant field 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: itinerant field preaching | Statement: [Howell Harris, preachingStyle, itinerant field preaching]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preachingStyle Context triple: [Howell Harris, preachingStyle, itinerant field preaching]
-
A.
preachesFrom
Indicates that a person delivers a sermon, teaching, or religious message using a particular text, source, or location as the basis.
-
B.
preached
Indicates that one entity delivered a religious or moral message or sermon to others.
-
C.
hasPulpitStyle
Indicates that an entity possesses or is characterized by a particular style or type of pulpit.
-
D.
commentarialStyle
Indicates the manner or approach taken in writing or presenting commentary on a text, event, or subject.
-
E.
sermonBy
Indicates that a sermon is delivered, authored, or given by a particular person or agent.
- 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_69f349a80d4481908527317d43f5c579 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70ca7d9348190960c9ee97ddd54ea |
completed | May 3, 2026, 8:51 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70b94784c8190970d654e066eb50d |
completed | May 3, 2026, 8:47 a.m. |
Created at: May 1, 2026, 1:53 a.m.