Triple

T12527911
Position Surface form Disambiguated ID Type / Status
Subject McCleskey v. Kemp E299485 entity
Predicate evidenceConsidered P3168 FINISHED
Object Baldus study 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: Baldus study | Statement: [McCleskey v. Kemp, evidenceConsidered, Baldus study]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: evidenceConsidered
Context triple: [McCleskey v. Kemp, evidenceConsidered, Baldus study]
  • A. providesEvidenceFor
    Indicates that one entity serves as support, justification, or proof for the validity or truth of another entity.
  • B. hasMaterialEvidence
    Indicates that there exists tangible, physical evidence supporting or associated with a particular entity, event, or claim.
  • C. appliesRulesOfEvidence
    Indicates that one party enforces or follows established rules of evidence in relation to another party or proceeding.
  • D. usedEvidenceType chosen
    Indicates that a particular type or category of evidence was employed or relied upon in a given context or activity.
  • E. excludesFromEvidence
    Indicates that something is intentionally omitted or disallowed from being considered as evidence in a given context.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95f5507b481908d13cc317b7402f6 completed April 10, 2026, 8:36 p.m.
PD Predicate disambiguation batch_69d9540d7b788190a0d57b098e90e491 completed April 10, 2026, 7:48 p.m.
Created at: April 8, 2026, 9:57 p.m.