Triple
T17156562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canon 21 |
E416356
|
entity |
| Predicate | inspiredCanon |
P63928
|
FINISHED |
| Object | Canon 989 of the 1983 Code of Canon Law |
—
|
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: Canon 989 of the 1983 Code of Canon Law | Statement: [Canon 21, inspiredCanon, Canon 989 of the 1983 Code of Canon Law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredCanon Context triple: [Canon 21, inspiredCanon, Canon 989 of the 1983 Code of Canon Law]
-
A.
givesCanon
Indicates that one entity provides or establishes an official or authoritative version (canon) of something for another entity or context.
-
B.
usesCanon
Indicates that one entity employs or relies on another entity as its standard, reference, or authoritative source.
-
C.
inspiredByOrRelatedTo
Indicates that one entity draws inspiration from, is influenced by, or is otherwise thematically or conceptually connected to another entity.
-
D.
inCanonAuthor
Indicates that an author is officially recognized as part of the established canon within a particular fictional or literary universe.
-
E.
hasInspired
chosen
Indicates that one entity has served as a source of motivation, creativity, or influence leading to ideas, actions, or works in another entity.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f40bf9ec8190b16372bcd091db9b |
completed | April 18, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:37 a.m.