Triple

T6848444
Position Surface form Disambiguated ID Type / Status
Subject Lut E157953 entity
Predicate storyEmphasizes P26062 FINISHED
Object punishment for sexual immorality 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: punishment for sexual immorality | Statement: [Lut, storyEmphasizes, punishment for sexual immorality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: storyEmphasizes
Context triple: [Lut, storyEmphasizes, punishment for sexual immorality]
  • A. storyElement
    Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
  • B. storyBy
    Indicates that one entity is the creator or author of the story associated with another entity.
  • C. storyline
    Indicates that one entity serves as the narrative plot or sequence of events associated with another entity.
  • D. narrativeImportance chosen
    Indicates the degree to which an entity or event is central, influential, or essential within the structure and progression of a narrative.
  • E. narrativePremise
    Indicates the foundational situation, conflict, or setup that initiates and drives the narrative’s events.
  • 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d7ce3e7481908e0472b8faafa473 completed March 27, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69c6d0a12834819097d7e6c0b823745e completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:20 p.m.