Triple
T23392834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aharon Perlow of Karlin |
E594063
|
entity |
| Predicate | spiritualStyle |
P49306
|
FINISHED |
| Object | fervent prayer |
—
|
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: fervent prayer | Statement: [Aharon Perlow of Karlin, spiritualStyle, fervent prayer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spiritualStyle Context triple: [Aharon Perlow of Karlin, spiritualStyle, fervent prayer]
-
A.
spiritualityType
chosen
Indicates the specific kind or category of spirituality associated with an entity.
-
B.
spiritualityCharacteristic
Indicates that one entity possesses, exhibits, or is defined by a spiritual quality, trait, or aspect in relation to another.
-
C.
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.
-
D.
spiritualityInfluencedBy
Indicates that one entity’s spirituality, spiritual beliefs, or practices are shaped, guided, or affected by another entity.
-
E.
spiritualWork
Indicates a relationship where an entity engages in or is associated with religious, contemplative, or spiritually oriented practices or activities.
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49df4308190ab4ab31310af81ed |
completed | April 29, 2026, 6:26 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:36 p.m.