Triple
T5806974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonah |
E128768
|
entity |
| Predicate | preachedTheme |
P54609
|
FINISHED |
| Object | repentance |
—
|
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: repentance | Statement: [Jonah, preachedTheme, repentance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preachedTheme Context triple: [Jonah, preachedTheme, repentance]
-
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.
doctrinalTheme
Indicates that one entity concerns, expresses, or is characterized by a particular doctrinal or theological theme in relation to another.
-
D.
scripturalTheme
Indicates that one entity represents a central religious or theological theme expressed, discussed, or emphasized within a scriptural text or passage.
-
E.
prophecyTheme
chosen
Indicates that the relationship or action centers on the theme, content, or subject matter of a prophecy.
- 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_69c00846a0d881909e46841f8e156b64 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b15d8108190b434da42631c4e0c |
completed | March 22, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69c021d477008190946113f9859eeb90 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:52 p.m.