Triple

T32676041
Position Surface form Disambiguated ID Type / Status
Subject Two Lefts Don’t Make a Right… But Three Do E835434 entity
Predicate featuresFaithBasedThemes P24743 FINISHED
Object true 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: true | Statement: [Two Lefts Don’t Make a Right… But Three Do, featuresFaithBasedThemes, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresFaithBasedThemes
Context triple: [Two Lefts Don’t Make a Right… But Three Do, featuresFaithBasedThemes, true]
  • A. hasReligiousTheme chosen
    Indicates that something (such as a work, event, or object) centrally involves or expresses religious ideas, symbols, practices, or narratives.
  • B. mainFaith
    Indicates that one entity is the primary or predominant religious belief or faith tradition associated with another entity.
  • C. listsPrinciplesOfFaith
    Indicates that one entity enumerates or sets out the core principles or articles of faith associated with another entity.
  • D. hasDevotionalTheme
    Indicates that something (such as a work, act, or expression) centers on or embodies a devotional or worship-related theme.
  • E. scripturalTheme
    Indicates that one entity represents a central religious or theological theme expressed, discussed, or emphasized within a scriptural text or passage.
  • 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_69f3493134b48190aa3c8cb523bd3800 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a012efebda88190a90c8f650e4b1ee9 completed May 11, 2026, 1:21 a.m.
PD Predicate disambiguation batch_6a01298cc604819087c836659c128926 completed May 11, 2026, 12:57 a.m.
Created at: May 1, 2026, 1:09 a.m.