Triple
T17045637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delmar O’Donnell |
E413560
|
entity |
| Predicate | believesHeIsForgivenFor |
P125628
|
FINISHED |
| Object | his sins after baptism |
—
|
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: his sins after baptism | Statement: [Delmar O’Donnell, believesHeIsForgivenFor, his sins after baptism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: believesHeIsForgivenFor Context triple: [Delmar O’Donnell, believesHeIsForgivenFor, his sins after baptism]
-
A.
soughtPardonFor
Indicates that one entity requested or attempted to obtain a formal pardon or forgiveness for another entity or for a specific action.
-
B.
repentsFor
Indicates that one entity feels remorse or regret for an action, wrongdoing, or harm related to another entity.
-
C.
receivedAtonementFrom
Indicates that one entity has been granted or has obtained atonement, forgiveness, or reconciliation from another entity.
-
D.
forgave
Indicates that one entity has chosen to release resentment or cancel a grievance, offense, or debt owed by another entity.
-
E.
demandedAtonementFrom
Indicates that one entity required another to make amends or provide compensation for a perceived wrong or offense.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3da9d7e988190a5e3991c7123f9b0 |
completed | April 18, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:33 a.m.