Triple

T33407385
Position Surface form Disambiguated ID Type / Status
Subject Richard Speck E855472 entity
Predicate reasonForSentenceModification P5019 FINISHED
Object U.S. Supreme Court ruling on capital punishment procedures 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: U.S. Supreme Court ruling on capital punishment procedures | Statement: [Richard Speck, reasonForSentenceModification, U.S. Supreme Court ruling on capital punishment procedures]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reasonForSentenceModification
Context triple: [Richard Speck, reasonForSentenceModification, U.S. Supreme Court ruling on capital punishment procedures]
  • A. sentenceModification
    Indicates that one sentence alters, qualifies, or elaborates on the meaning, structure, or content of another sentence.
  • B. reasonForChange
    Indicates that one entity serves as the cause, justification, or motivation for a modification or change in another entity or state.
  • C. changeReason chosen
    Indicates the reason or justification for a modification or change made to an entity or its state.
  • D. modification
    Indicates a change made to an existing entity, altering its properties, structure, or state from a prior version.
  • E. reasonWritten
    Indicates that one entity is the reason or motivation for which another entity was written or authored.
  • 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_69f3496f04a08190804e56ac5098b8e4 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fd57ba740c8190bd1d40166fccccb7 completed May 8, 2026, 3:25 a.m.
PD Predicate disambiguation batch_69fd55ee82b881908a639da3a41b3af6 completed May 8, 2026, 3:18 a.m.
Created at: May 1, 2026, 1:36 a.m.