Triple
T5825172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letters on the Spiritual Life |
E129203
|
entity |
| Predicate | originalAuthorOccupation |
P13413
|
FINISHED |
| Object | Orthodox bishop |
—
|
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: Orthodox bishop | Statement: [Letters on the Spiritual Life, originalAuthorOccupation, Orthodox bishop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalAuthorOccupation Context triple: [Letters on the Spiritual Life, originalAuthorOccupation, Orthodox bishop]
-
A.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
-
B.
creatorOccupation
chosen
Indicates the professional role or job that the creator of an entity holds or held.
-
C.
authorOrigin
Indicates that an author has a specific place, region, or country as their origin or background.
-
D.
originAuthor
Indicates that an entity is the original creator or author of another entity (such as a work, document, or idea).
-
E.
authorTraditionallyAscribedTo
Indicates that authorship of a work is customarily or historically attributed to an entity, even if definitive proof of authorship may be uncertain or disputed.
- 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0333fdd7081908d829265caa2ac11 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:53 p.m.