Triple
T26338166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the God-man |
E662572
|
entity |
| Predicate | makesPossible |
P153893
|
FINISHED |
| Object | forgiveness of sins |
—
|
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: forgiveness of sins | Statement: [the God-man, makesPossible, forgiveness of sins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: makesPossible Context triple: [the God-man, makesPossible, forgiveness of sins]
-
A.
canMake
Indicates that one entity has the ability or capacity to create, produce, or assemble another entity.
-
B.
mayEnact
Indicates that an entity has the authority or permission to establish, implement, or put into effect a rule, policy, or action.
-
C.
canBe
Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
-
D.
possibleFunction
Indicates that an entity may serve, or is capable of serving, a particular function or role, without asserting that it actually does so.
-
E.
possiblyBy
chosen
Indicates that an action, creation, or effect may have been caused or produced by a particular entity, but this attribution is uncertain or not definitively established.
- 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60f6f261c8190805ba660d43edc1d |
completed | May 2, 2026, 2:51 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 10:37 p.m.