Triple

T25784529
Position Surface form Disambiguated ID Type / Status
Subject Blakely v. Washington E649383 entity
Predicate affectedLaw P70595 FINISHED
Object Washington State Sentencing Reform Act NE NERFINISHED

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: Washington State Sentencing Reform Act | Statement: [Blakely v. Washington, affectedLaw, Washington State Sentencing Reform Act]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: affectedLaw
Context triple: [Blakely v. Washington, affectedLaw, Washington State Sentencing Reform Act]
  • A. affectsStatute chosen
    Indicates that one legal action, decision, or document has a modifying, influencing, or changing impact on a particular statute.
  • B. impactOnLaw
    Indicates the effect or influence that one entity, event, or action has on laws, legal rules, or the legal system.
  • C. affectedJurisdictionOver
    Indicates that one entity’s authority, control, or legal power extends over and impacts the jurisdiction of another entity.
  • D. affectedAdministrationOfJustice
    Indicates that an action or behavior has negatively influenced, obstructed, or compromised the proper functioning or fairness of the justice system.
  • E. fallsUnderLaw
    Indicates that one entity is subject to, governed by, or regulated under a particular law or legal provision.
  • 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_69e7ab33e9308190afe415dc6f9e8876 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6430a93a48190854ce71df680b2fa completed May 2, 2026, 6:31 p.m.
PD Predicate disambiguation batch_69f641da05b881909f6283c988639c53 completed May 2, 2026, 6:26 p.m.
Created at: April 22, 2026, 5:53 a.m.