Triple
T26507062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christiane Eberhardine of Brandenburg-Bayreuth |
E669574
|
entity |
| Predicate | refusedToConvertTo |
P59946
|
FINISHED |
| Object | Roman Catholicism |
—
|
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: Roman Catholicism | Statement: [Christiane Eberhardine of Brandenburg-Bayreuth, refusedToConvertTo, Roman Catholicism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refusedToConvertTo Context triple: [Christiane Eberhardine of Brandenburg-Bayreuth, refusedToConvertTo, Roman Catholicism]
-
A.
isForcedToConvertTo
Indicates that one entity is compelled, against its will, to change its beliefs, affiliation, or status to match that of another entity.
-
B.
refusedAction
chosen
Indicates that an entity deliberately declined or did not agree to perform a specific action requested, expected, or proposed by another entity.
-
C.
allowsConversionTo
Indicates that one entity permits or enables transformation or change into another specified form or state.
-
D.
opposedConversionOf
Indicates that one entity actively resisted, objected to, or worked against the process of converting or changing another entity.
-
E.
hasConversionIssueWith
Indicates that one entity experiences or is associated with a problem, error, or incompatibility when being converted to or from another entity.
- 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_69eeb319ec70819090834c2591cf5f1e |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6138e8f508190898b55c271967d95 |
completed | May 2, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 1:17 a.m.