Triple
T37432421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sermons on Several Subjects |
E930176
|
entity |
| Predicate | hasAuthorReligiousOffice |
P103888
|
FINISHED |
| Object | Bishop of Oxford |
—
|
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: Bishop of Oxford | Statement: [Sermons on Several Subjects, hasAuthorReligiousOffice, Bishop of Oxford]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorReligiousOffice Context triple: [Sermons on Several Subjects, hasAuthorReligiousOffice, Bishop of Oxford]
-
A.
hasReligiousOffice
chosen
Indicates that an entity holds or occupies a specific religious role, position, or office within a religious organization or tradition.
-
B.
hasReligiousRoleEquivalent
Indicates that two religious roles are considered functionally or hierarchically equivalent within or across religious traditions.
-
C.
heldEcclesiasticalAuthorityIn
Indicates that an entity possessed official religious or church authority within a specified place or jurisdiction.
-
D.
hasClergy
Indicates that an organization or institution possesses or is served by members of the clergy.
-
E.
religionDuringOffice
Indicates that a person adhered to a particular religion during the time they held a specific office or position.
- 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_69f76ebfdcb8819098562ff3db673b04 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fdb45537288190b6791078d4a6899f |
completed | May 8, 2026, 10 a.m. |
| PD | Predicate disambiguation | batch_69fdb39ad96481908376d7def9fafc13 |
completed | May 8, 2026, 9:57 a.m. |
Created at: May 3, 2026, 4:17 p.m.