Triple
T16856678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johannes Crellius |
E409800
|
entity |
| Predicate | doctrineAdvocated |
P24852
|
FINISHED |
| Object | religious toleration |
—
|
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: religious toleration | Statement: [Johannes Crellius, doctrineAdvocated, religious toleration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doctrineAdvocated Context triple: [Johannes Crellius, doctrineAdvocated, religious toleration]
-
A.
doctrineDiscussed
Indicates that a particular doctrine is the topic of discussion or analysis in a given context or interaction.
-
B.
doctrineOf
Indicates a relationship where one entity is the doctrinal teaching, principle, or belief system associated with, derived from, or formally held by another entity.
-
C.
doctrineChallenged
Indicates that a particular doctrine, principle, or set of beliefs is being questioned, disputed, or formally contested.
-
D.
doctrineHeld
chosen
Indicates that an agent adheres to, supports, or maintains a particular doctrine or set of principles.
-
E.
legalDoctrine
Indicates that one legal principle, rule, or theory is being applied, referenced, or relied upon as an authoritative basis for interpreting or deciding a legal issue.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37e34b88190bb4468424e2edf2d |
completed | April 18, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69e32b8cbb048190878a259cc5be960e |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:24 a.m.