Triple
T31231480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gérard Roussel |
E796293
|
entity |
| Predicate | stanceTowardProtestantism |
P95573
|
FINISHED |
| Object | rejected full separation from Rome |
—
|
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: rejected full separation from Rome | Statement: [Gérard Roussel, stanceTowardProtestantism, rejected full separation from Rome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stanceTowardProtestantism Context triple: [Gérard Roussel, stanceTowardProtestantism, rejected full separation from Rome]
-
A.
statusInMainlineProtestantism
Indicates the recognized standing, role, or level of acceptance an entity has within mainline Protestant Christian traditions.
-
B.
viewInProtestantism
chosen
Indicates how something is regarded, interpreted, or understood specifically within Protestant Christian theology or tradition.
-
C.
typicalReligionAfterReformation
Indicates the predominant religion an entity adhered to following the Reformation period.
-
D.
combatantProtestantSide
Indicates that an entity participates as a fighter or active supporter on the Protestant side in a conflict or war.
-
E.
religiousReformImpact
Indicates the effect that a religious reform has on beliefs, practices, institutions, or social structures.
- 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_69f224da98f88190ab32f690cce5d303 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 29, 2026, 9:10 p.m.