Triple
T14560214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willeram of Ebersberg’s commentary on the Song of Songs |
E341645
|
entity |
| Predicate | hermeneuticLevel |
P18616
|
FINISHED |
| Object | spiritual sense |
—
|
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: spiritual sense | Statement: [Willeram of Ebersberg’s commentary on the Song of Songs, hermeneuticLevel, spiritual sense]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hermeneuticLevel Context triple: [Willeram of Ebersberg’s commentary on the Song of Songs, hermeneuticLevel, spiritual sense]
-
A.
scripturalDetailLevel
Indicates the degree of specificity or granularity with which scriptural content is presented, referenced, or analyzed in a given context.
-
B.
logicalLevel
Indicates the relative position or depth of something within a hierarchy of abstraction, reasoning, or logical structure.
-
C.
styleOfExegesis
chosen
Indicates the particular interpretive method or approach applied when analyzing or explaining a text.
-
D.
levelNotation
Indicates the specific symbolic or textual notation used to represent the level, degree, or rank of something within a defined scale or hierarchy.
-
E.
intendedReadingLevel
Indicates the reading proficiency or audience level that a text or resource is designed or meant to be understood by.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb389d0f48190a1d9d69456d1cbe1 |
completed | April 14, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69de5c57489c8190b57917be1dba6ae6 |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:23 a.m.