Triple

T12332512
Position Surface form Disambiguated ID Type / Status
Subject Sorry, Blame It on Me E293996 entity
Predicate containsExplicitApology P104542 FINISHED
Object Yes 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: Yes | Statement: [Sorry, Blame It on Me, containsExplicitApology, Yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsExplicitApology
Context triple: [Sorry, Blame It on Me, containsExplicitApology, Yes]
  • A. apologyIssued
    Indicates that one entity has expressed regret or remorse to another entity for a perceived wrong, mistake, or offense.
  • B. apologizedFor
    Indicates that one entity expressed regret or remorse to another entity specifically about a particular action, event, or wrongdoing.
  • C. typeOfApology
    Indicates that one entity specifies the particular kind or category of apology expressed in relation to another entity.
  • D. apologyIssuedBy
    Indicates that an apology has been made by a specific entity as the source or initiator of that apology.
  • E. apologeticFunction
    Indicates that one entity expresses regret or remorse to another, acknowledging fault or seeking forgiveness for an action or outcome.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f634ee08190b4f533505d402219 completed April 10, 2026, 6:20 p.m.
PD Predicate disambiguation batch_69d93ecb5efc819086a3530282278bb1 completed April 10, 2026, 6:17 p.m.
PDg Predicate description generation batch_69d93f607a88819089e89fd263ae9937 completed April 10, 2026, 6:20 p.m.
Created at: April 8, 2026, 9:53 p.m.