Triple
T2737301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornelius Van Til |
E60659
|
entity |
| Predicate | apologeticMethod |
P41749
|
FINISHED |
| Object | presuppositionalism |
—
|
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: presuppositionalism | Statement: [Cornelius Van Til, apologeticMethod, presuppositionalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: apologeticMethod Context triple: [Cornelius Van Til, apologeticMethod, presuppositionalism]
-
A.
apologizedFor
Indicates that one entity expressed regret or remorse to another entity specifically about a particular action, event, or wrongdoing.
-
B.
apologyIssued
Indicates that one entity has expressed regret or remorse to another entity for a perceived wrong, mistake, or offense.
-
C.
apologyLocation
Indicates the place or setting where an apology is made or occurs.
-
D.
apologyDate
Indicates the date on which an apology was made or formally recorded.
-
E.
appeal
Indicates that one party formally requests a higher authority to review, reconsider, or overturn a prior decision, judgment, or outcome.
- F. None of above. chosen
Provenance (4 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb12e03c8190b270c814ce47b626 |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd82859348190bce3be8f2e9d60ba |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd968b2148190929af432c9d8001f |
completed | March 7, 2026, 7:53 a.m. |
Created at: March 6, 2026, 9:56 p.m.