Triple
T3919418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homilies on the Gospel of Matthew |
E88921
|
entity |
| Predicate | interpretiveMethod |
P21759
|
FINISHED |
| Object | literal-historical exegesis |
—
|
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 exegesis | Statement: [Homilies on the Gospel of Matthew, interpretiveMethod, literal-historical exegesis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interpretiveMethod Context triple: [Homilies on the Gospel of Matthew, interpretiveMethod, literal-historical exegesis]
-
A.
interpretationMethod
chosen
Indicates the method, technique, or process used to interpret or derive meaning from something.
-
B.
interpretiveStatus
Indicates the evaluative or explanatory stance assigned to something, such as how it is understood, classified, or interpreted within a given context.
-
C.
isInterpretedBy
Indicates that something (such as data, a work, or a signal) is given meaning, understanding, or explanation by a particular agent or process.
-
D.
eraInterpreted
Indicates that one entity has been interpreted, understood, or given meaning by another entity.
-
E.
interpretedInCase
Indicates that something is understood, analyzed, or given meaning within the context of a particular case or specific situational scenario.
- 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_69aed955229881909e85e73ffab1d343 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef188b474819087680db42b04ecdd |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee75eedcc81908088ff4dbb8be56b |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:22 p.m.