Triple
T19700269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop of Western Louisiana |
E473073
|
entity |
| Predicate | canonsFollowed |
P136987
|
FINISHED |
| Object | canons of the Episcopal Church (United States) |
—
|
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: canons of the Episcopal Church (United States) | Statement: [Bishop of Western Louisiana, canonsFollowed, canons of the Episcopal Church (United States)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canonsFollowed Context triple: [Bishop of Western Louisiana, canonsFollowed, canons of the Episcopal Church (United States)]
-
A.
inCanonOf
Indicates that one entity is officially recognized as part of the established canon or authoritative body of works associated with another entity.
-
B.
canonizedAs
Indicates that an authority, typically a religious institution, has formally declared someone to be a saint or holy figure.
-
C.
canonizedBy
Indicates that an entity has been officially declared a saint or holy figure by a specified religious authority.
-
D.
canonizedIn
Indicates that an authority formally declared someone to be a saint or holy figure in a specified place or institution.
-
E.
eraFollowed
Indicates that one historical era comes directly after another in chronological sequence.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b4e01081908f857f219d5d7a24 |
completed | April 20, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69e530438c60819082364c7be3eef6f0 |
completed | April 19, 2026, 7:42 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:46 p.m.