Triple
T20756974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Sinaites |
E510873
|
entity |
| Predicate | spiritualGenre |
P21942
|
FINISHED |
| Object | ascetical literature |
—
|
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 literature | Statement: [John Sinaites, spiritualGenre, ascetical literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spiritualGenre Context triple: [John Sinaites, spiritualGenre, ascetical literature]
-
A.
spiritCategory
Indicates that one entity is classified as belonging to a particular type or category of spirit.
-
B.
religiousGenre
chosen
Indicates that the subject is associated with or categorized under a religious genre, style, or tradition.
-
C.
spiritualityType
Indicates the specific kind or category of spirituality associated with an entity.
-
D.
spiritualMeans
Indicates that one entity serves as a spiritual method, medium, or pathway through which another entity attains or engages in a spiritual state, goal, or practice.
-
E.
spiritualityInfluencedBy
Indicates that one entity’s spirituality, spiritual beliefs, or practices are shaped, guided, or affected by another entity.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c23113c88190a567c3a098cf7552 |
completed | April 21, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c0509608819080cdbf47fcddfe36 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:35 p.m.