Triple
T32752120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Forgiver of Sin |
E837525
|
entity |
| Predicate | conditionForForgiveness |
P45403
|
FINISHED |
| Object | repentance |
—
|
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: repentance | Statement: [The Forgiver of Sin, conditionForForgiveness, repentance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conditionForForgiveness Context triple: [The Forgiver of Sin, conditionForForgiveness, repentance]
-
A.
forgivenessAfter
Indicates that one entity grants or experiences forgiveness following a prior action, event, or offense involving another entity.
-
B.
scopeOfForgiveness
Indicates the extent or boundaries within which forgiveness is granted or applies between entities.
-
C.
forgivenessType
Indicates the specific kind or category of forgiveness that characterizes the relationship or action between entities.
-
D.
conditionForAmnesty
chosen
Indicates that one situation, event, or requirement serves as a prerequisite or qualifying factor for granting amnesty.
-
E.
forgivenessAvailableAfter
Indicates that the opportunity or condition for granting forgiveness becomes possible only after a specified time, event, or prerequisite has occurred.
- 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_69f34937f97c8190b7f84bea045df3ae |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:12 a.m.