Triple
T21913023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | demythologization of the New Testament |
E541111
|
entity |
| Predicate | seeksToDistinguish |
P119515
|
FINISHED |
| Object | kerygma from myth |
—
|
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: kerygma from myth | Statement: [demythologization of the New Testament, seeksToDistinguish, kerygma from myth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seeksToDistinguish Context triple: [demythologization of the New Testament, seeksToDistinguish, kerygma from myth]
-
A.
aimsToDistinguish
chosen
Indicates an intention or effort by one entity to set itself or something else apart from others by highlighting differences or unique characteristics.
-
B.
distinction
Indicates that one entity is recognized, treated, or classified as different or separate from another.
-
C.
distinguishingTrait
Indicates that a particular characteristic or feature uniquely differentiates one entity from another.
-
D.
categoryDistinguishedFrom
Indicates that one category is explicitly distinguished from another, clarifying that they are separate and should not be confused.
-
E.
distinguishesGrade
Indicates that an entity differentiates or sets apart one grade or level from another.
- 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121db1dc48190af5dc634431d863a |
completed | April 28, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:41 p.m.