Triple

T13244981
Position Surface form Disambiguated ID Type / Status
Subject J. Buford Boone E315376 entity
Predicate moralCourage P108719 FINISHED
Object publicly opposed segregation despite local hostility 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: publicly opposed segregation despite local hostility | Statement: [J. Buford Boone, moralCourage, publicly opposed segregation despite local hostility]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: moralCourage
Context triple: [J. Buford Boone, moralCourage, publicly opposed segregation despite local hostility]
  • A. moralAttitude
    Indicates a subject’s evaluative stance or judgment about the moral rightness or wrongness of another entity, action, or situation.
  • B. moralRealization
    Indicates the recognition or coming to understand a moral truth, principle, or ethical implication about a situation or action.
  • C. moralTheme
    Indicates that a work, event, or situation embodies or conveys a particular ethical lesson, value, or moral principle.
  • D. moralCriterion
    Indicates that something is being evaluated or classified according to a standard of moral judgment or ethical rightness.
  • E. moralTrajectory
    Indicates the direction and pattern of change in an entity’s moral behavior or ethical stance over time.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5b06148190a44e698bbe5cd529 completed April 10, 2026, 11:52 p.m.
PD Predicate disambiguation batch_69d98bcca7d88190a3e68e99ed3a29e6 completed April 10, 2026, 11:46 p.m.
PDg Predicate description generation batch_69d98c959ba08190adf29dc0c4e1fca6 completed April 10, 2026, 11:49 p.m.
Created at: April 9, 2026, 9:23 p.m.