Triple
T2884090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pro Rege |
E59464
|
entity |
| Predicate | partOfAuthorProject |
P42572
|
FINISHED |
| Object | Abraham Kuyper’s program for Christian engagement with culture |
—
|
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: Abraham Kuyper’s program for Christian engagement with culture | Statement: [Pro Rege, partOfAuthorProject, Abraham Kuyper’s program for Christian engagement with culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfAuthorProject Context triple: [Pro Rege, partOfAuthorProject, Abraham Kuyper’s program for Christian engagement with culture]
-
A.
partOfAuthorBibliography
Indicates that a work is included in the set of publications that make up an author's bibliography.
-
B.
formedAsSideProjectOf
Indicates that something was created or developed as a secondary or unofficial project alongside another primary project or activity.
-
C.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
D.
hasCoauthor
Indicates that two or more entities have jointly authored the same work or publication.
-
E.
partOfWorkType
Indicates that something is a component, subtype, or specific category within a broader type of work.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe02e0ec48190b969ed921d179560 |
completed | March 7, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69abdd15cbf08190bf7fea5ea516848a |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abdd96670c8190b727f9ac27dadf67 |
completed | March 7, 2026, 8:11 a.m. |
Created at: March 6, 2026, 10:03 p.m.