Triple
T20505220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wulfstan of York |
E503409
|
entity |
| Predicate | endOfTermAsBishopOfWorcester |
P49405
|
FINISHED |
| Object | 1016 |
—
|
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: 1016 | Statement: [Wulfstan of York, endOfTermAsBishopOfWorcester, 1016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endOfTermAsBishopOfWorcester Context triple: [Wulfstan of York, endOfTermAsBishopOfWorcester, 1016]
-
A.
appointedBishopOfWorcester
Indicates that an entity was formally appointed to serve as the Bishop of Worcester.
-
B.
endTimeAsArchbishopOfWestminster
Indicates the point in time at which an individual’s tenure as Archbishop of Westminster comes to an end.
-
C.
endTimeAsArchbishopOfCanterbury
Indicates the date and time when an individual’s tenure as Archbishop of Canterbury comes to an end.
-
D.
appointedBishopOfWinchester
Indicates that a person was formally appointed to serve as the Bishop of Winchester.
-
E.
endTimeOfEpiscopate
chosen
Indicates the date or time at which a bishop’s term of office (episcopate) comes to an end.
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69dc66f00819083c804535e045545 |
completed | April 20, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
Created at: April 16, 2026, 11:35 a.m.