Triple

T917365
Position Surface form Disambiguated ID Type / Status
Subject Sorrowful Mysteries E19799 entity
Predicate emphasizesTheme P7671 FINISHED
Object redemptive suffering 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: redemptive suffering | Statement: [Sorrowful Mysteries, emphasizesTheme, redemptive suffering]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emphasizesTheme
Context triple: [Sorrowful Mysteries, emphasizesTheme, redemptive suffering]
  • A. notableTheme chosen
    Indicates that a particular theme is prominently featured in, or strongly associated with, an entity such as a work, event, or body of content.
  • B. theme
    Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
  • C. themedAs
    Indicates that something is characterized, styled, or organized according to a particular theme or motif.
  • D. strategyEmphasis
    Indicates an entity’s primary focus or priority within a broader strategy or plan.
  • E. hasEmphasis
    Indicates that one element is given special stress, importance, or prominence relative to others.
  • 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b6755c488190b7f7848110e3ea2c completed March 1, 2026, 9:58 p.m.
PD Predicate disambiguation batch_69a4b292d3408190947cbc2f794cf8c5 completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.