Triple
T3304221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daemonologie |
E69407
|
entity |
| Predicate | religiousAffiliationOfAuthor |
P19416
|
FINISHED |
| Object | Presbyterian-leaning Protestantism |
—
|
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: Presbyterian-leaning Protestantism | Statement: [Daemonologie, religiousAffiliationOfAuthor, Presbyterian-leaning Protestantism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousAffiliationOfAuthor Context triple: [Daemonologie, religiousAffiliationOfAuthor, Presbyterian-leaning Protestantism]
-
A.
authorsReligion
chosen
Indicates the religious affiliation or belief system associated with an author.
-
B.
religiousAffiliation
Indicates that one entity has a specified religious association, belief system, or denominational membership.
-
C.
associatedReligionText
Indicates that there is a textual work (such as a scripture or religious document) that is specifically associated with, or pertains to, a given religion.
-
D.
formerReligiousAffiliation
Indicates that an entity previously adhered to a particular religion or religious denomination but no longer does so.
-
E.
declaredReligion
Indicates that an entity has formally stated or reported a particular religious affiliation.
- 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_69ad859f218081909458d2cebbf57565 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0c8179081908a2595d1fdb7560a |
completed | March 8, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_69ada42625308190be257f16a623a410 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:11 p.m.