Triple
T28779757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Nicholas Church, Steventon |
E726641
|
entity |
| Predicate | George AustenRole |
P165581
|
FINISHED |
| Object | Rector of Steventon |
—
|
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: Rector of Steventon | Statement: [St Nicholas Church, Steventon, George AustenRole, Rector of Steventon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: George AustenRole Context triple: [St Nicholas Church, Steventon, George AustenRole, Rector of Steventon]
-
A.
authorFather
Indicates that one entity is the father of another entity who is the author of a work.
-
B.
George ArthurRole
Indicates that George holds or performs the role, position, or function associated with Arthur.
-
C.
notableAuthorRole
Indicates that an entity holds a significant or distinguished role as an author in relation to another entity.
-
D.
notableHistoricalFigureRole
Indicates that an entity is recognized as a historically significant person who played a particular role or held a specific position in history.
-
E.
roleOfEliotSpencer
Indicates that the specified role or function is performed or held by Eliot Spencer.
- F. None of above. chosen
Provenance (4 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_69f03199997c8190b6ae43fb19312443 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6596b210481908af6cd555748f75b |
completed | May 2, 2026, 8:07 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f658ebeca4819096beb3f98f73fe31 |
completed | May 2, 2026, 8:05 p.m. |
Created at: April 28, 2026, 6:19 a.m.