Triple
T2365055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penance |
E47360
|
entity |
| Predicate | mayIncludeConfessionOf |
P15111
|
FINISHED |
| Object | venial 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: venial sins | Statement: [Penance, mayIncludeConfessionOf, venial sins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayIncludeConfessionOf Context triple: [Penance, mayIncludeConfessionOf, venial sins]
-
A.
usesConfession
Indicates that one entity employs or relies on a confession (typically an admission of guilt or wrongdoing) as part of its actions or reasoning toward another entity or outcome.
-
B.
usesConfessions
Indicates that one entity employs or relies on another entity’s confessions as a basis for some action, decision, or outcome.
-
C.
associatedConfession
chosen
Indicates a relationship where one entity is linked to a specific confession, admission, or statement acknowledging guilt or responsibility.
-
D.
madePublicConfessionAt
Indicates that an entity openly admitted or confessed something in a public setting at a specific time or place.
-
E.
confession
Indicates that one entity admits or discloses information, typically acknowledging guilt, responsibility, or a hidden truth, to 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_69a88a1a4a6081908645b0f2914521ab |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc7486cb48190acef1891cc87bdb1 |
completed | March 7, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69abc599b92c819093d9e15d4437705d |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:55 p.m.