Triple

T4824775
Position Surface form Disambiguated ID Type / Status
Subject Galen Black E107795 entity
Predicate caseConsequence P812 FINISHED
Object prompted passage of the Religious Freedom Restoration Act (RFRA) of 1993 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: prompted passage of the Religious Freedom Restoration Act (RFRA) of 1993 | Statement: [Galen Black, caseConsequence, prompted passage of the Religious Freedom Restoration Act (RFRA) of 1993]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: caseConsequence
Context triple: [Galen Black, caseConsequence, prompted passage of the Religious Freedom Restoration Act (RFRA) of 1993]
  • A. hasConsequence chosen
    Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
  • B. narrativeConsequence
    Indicates that one event, action, or state occurs as a direct result or outcome of another within a narrative sequence.
  • C. impactOutcome
    Indicates that one entity produces an effect or influence that changes the result, consequence, or final state of another entity or situation.
  • D. outcomeType
    Indicates the specific category or nature of the result produced by an event, process, or action.
  • E. outcomeOfTrial
    Indicates that a particular result or verdict is produced as the consequence of a specific trial or legal proceeding.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ddd17d881909f7731ff2b460e83 completed March 20, 2026, 3:55 p.m.
PD Predicate disambiguation batch_69bd6c1fe130819087ae01309f96a0c8 completed March 20, 2026, 3:47 p.m.
Created at: March 20, 2026, 1:24 p.m.