Triple

T12501809
Position Surface form Disambiguated ID Type / Status
Subject He Frowned E298843 entity
Predicate centralMoralLesson P25343 FINISHED
Object do not favor the powerful over the sincere seeker of truth 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: do not favor the powerful over the sincere seeker of truth | Statement: [He Frowned, centralMoralLesson, do not favor the powerful over the sincere seeker of truth]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: centralMoralLesson
Context triple: [He Frowned, centralMoralLesson, do not favor the powerful over the sincere seeker of truth]
  • A. moralTheme chosen
    Indicates that a work, event, or situation embodies or conveys a particular ethical lesson, value, or moral principle.
  • B. moralConcept
    Indicates that one entity represents or embodies a moral or ethical concept in relation to another.
  • C. derivesMoralityFrom
    Indicates that one entity bases or grounds its moral principles, judgments, or ethical framework on another entity.
  • D. moralRealization
    Indicates the recognition or coming to understand a moral truth, principle, or ethical implication about a situation or action.
  • E. moralTrajectory
    Indicates the direction and pattern of change in an entity’s moral behavior or ethical stance over time.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94e8a706c8190873623eab7db607d completed April 10, 2026, 7:24 p.m.
PD Predicate disambiguation batch_69d94d41f3cc8190a3331fb9a895306f completed April 10, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:57 p.m.