Triple
T6880522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Augustus Selwyn |
E158780
|
entity |
| Predicate | ordinationYear:deacon |
P26743
|
FINISHED |
| Object | 1833 |
—
|
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: 1833 | Statement: [George Augustus Selwyn, ordinationYear:deacon, 1833]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ordinationYear:deacon Context triple: [George Augustus Selwyn, ordinationYear:deacon, 1833]
-
A.
ordinationAsPriestYear
Indicates the year in which an individual was formally ordained as a priest.
-
B.
ordainedBy
Indicates that an entity has been formally appointed, consecrated, or invested with authority by another entity.
-
C.
wasOrdainedAs
Indicates that an entity was formally appointed or consecrated into an official religious or ceremonial role.
-
D.
ordinationYear
chosen
Indicates the year in which an individual was formally ordained to a religious office or role.
-
E.
ordainedLaterKnownAs
Indicates that an entity was ordained under one name or identity and later became known by a different name or identity.
- 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_69c688342f6c8190ad7eea6ba262db99 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8e798c08190b1f494a2c1445514 |
completed | March 27, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b53e9881909ec298daa9f1913b |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:23 p.m.