Triple

T2365049
Position Surface form Disambiguated ID Type / Status
Subject Penance E47360 entity
Predicate contritionType P38261 FINISHED
Object perfect contrition 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: perfect contrition | Statement: [Penance, contritionType, perfect contrition]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contritionType
Context triple: [Penance, contritionType, perfect contrition]
  • A. confession
    Indicates that one entity admits or discloses information, typically acknowledging guilt, responsibility, or a hidden truth, to another entity.
  • B. confessedTo
    Indicates that one entity admitted guilt or revealed the truth about an action, wrongdoing, or secret to another entity.
  • C. 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.
  • D. condemnedBy
    Indicates that an entity is judged, denounced, or declared wrong or unacceptable by another entity.
  • E. condemnation
    Indicates that an entity expresses strong disapproval or denunciation of another entity, action, or situation.
  • 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_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.
PDg Predicate description generation batch_69abc6a85e2c8190afec217ff29476be completed March 7, 2026, 6:33 a.m.
Created at: March 4, 2026, 7:55 p.m.