Triple
T747683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Chrysostom |
E15378
|
entity |
| Predicate | styleOfExegesis |
P18616
|
FINISHED |
| Object | literal-historical interpretation |
—
|
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: literal-historical interpretation | Statement: [John Chrysostom, styleOfExegesis, literal-historical interpretation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styleOfExegesis Context triple: [John Chrysostom, styleOfExegesis, literal-historical interpretation]
-
A.
scripturalAllusion
Indicates that one entity references, echoes, or draws upon content, themes, or language from a scriptural or sacred text in relation to another entity.
-
B.
theologicalInterpretation
Indicates a relationship where an event, text, or phenomenon is understood or explained through religious or doctrinal beliefs and principles.
-
C.
scriptureAllusion
Indicates that one entity makes reference to, echoes, or is inspired by a passage, theme, or element from a scriptural text found in another entity.
-
D.
scriptureType
Indicates the classification or category of a scripture in relation to its type or genre.
-
E.
inScripture
Indicates that something is mentioned, described, or referenced within a scriptural or sacred text.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a62dd1bc819094a3814654448ae3 |
completed | March 1, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69a4a4ff10608190bfd60b4a1cb38f7d |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a57267c481909790a1fda3fced08 |
completed | March 1, 2026, 8:45 p.m. |
Created at: March 1, 2026, 7:37 p.m.