Triple
T12795332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Moore (Archbishop of Canterbury) |
E305873
|
entity |
| Predicate | startTimeOfPositionArchbishopOfCanterbury |
P26450
|
FINISHED |
| Object | 1783 |
—
|
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: 1783 | Statement: [John Moore (Archbishop of Canterbury), startTimeOfPositionArchbishopOfCanterbury, 1783]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfPositionArchbishopOfCanterbury Context triple: [John Moore (Archbishop of Canterbury), startTimeOfPositionArchbishopOfCanterbury, 1783]
-
A.
startTimeAsArchbishopOfCanterbury
chosen
Indicates the date and time when an individual began serving as Archbishop of Canterbury.
-
B.
endTimeAsArchbishopOfCanterbury
Indicates the date and time when an individual’s tenure as Archbishop of Canterbury comes to an end.
-
C.
currentArchbishopStartYear
Indicates the calendar year in which the current archbishop began serving in that role.
-
D.
startTimeOfEpiscopate
Indicates the date and time when a person's period of serving as a bishop (episcopate) begins.
-
E.
consecratedArchbishopOfCanterbury
Indicates that one entity performed the religious act of consecrating another entity as Archbishop of Canterbury.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6db68481909a2ca8da1287f3e0 |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ed7448190b276e7fab649f7d2 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:30 p.m.