Triple
T6601958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Scholasticus of Sinai |
E149018
|
entity |
| Predicate | majorWorkGenre |
P22130
|
FINISHED |
| Object | ascetical treatise |
—
|
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: ascetical treatise | Statement: [John Scholasticus of Sinai, majorWorkGenre, ascetical treatise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorWorkGenre Context triple: [John Scholasticus of Sinai, majorWorkGenre, ascetical treatise]
-
A.
notableWorkGenre
Indicates that a particular work is recognized as notable for an entity and specifies the genre to which that work belongs.
-
B.
literaryGenreOfWork
chosen
Indicates that a work belongs to or is classified under a particular literary genre.
-
C.
genreOfWorkHonored
Indicates the specific genre or type of creative work for which an honor, award, or recognition is given.
-
D.
genreOfOriginWork
Indicates that a work is classified under a particular genre based on the genre of its original source work.
-
E.
basedOnWorkGenre
Indicates that one entity’s genre classification is derived from or determined by the genre of another work.
- 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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acfd17388190bd0bb8b2371e7df1 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:56 p.m.