Triple
T5138036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sovereign Grace |
E115875
|
entity |
| Predicate | authorDenominationalBackground |
P48344
|
FINISHED |
| Object | Evangelical |
—
|
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: Evangelical | Statement: [Sovereign Grace, authorDenominationalBackground, Evangelical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorDenominationalBackground Context triple: [Sovereign Grace, authorDenominationalBackground, Evangelical]
-
A.
hasDenominationalBackground
chosen
Indicates that an entity is associated with or originates from a particular religious denomination or tradition.
-
B.
religiousBackgroundOfBase
Indicates the religious background or affiliation associated with a given base or primary entity.
-
C.
religiousBackgroundOfCommunity
Indicates the religious tradition, affiliation, or belief system that characterizes or predominates within a particular community.
-
D.
formerReligiousAffiliation
Indicates that an entity previously adhered to a particular religion or religious denomination but no longer does so.
-
E.
denominations
Indicates the specific units or categories into which something (often money, values, or items) is divided or classified.
- 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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7fef2e8c8190982dd67f50295ada |
completed | March 20, 2026, 5:12 p.m. |
| PD | Predicate disambiguation | batch_69bd77ac2fc48190abeebb003a82384c |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:43 p.m.