Triple

T28817129
Position Surface form Disambiguated ID Type / Status
Subject Foltz Defender Bill E727667 entity
Predicate seeksToRemedy P2242 FINISHED
Object inequality in criminal defense based on financial status 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: inequality in criminal defense based on financial status | Statement: [Foltz Defender Bill, seeksToRemedy, inequality in criminal defense based on financial status]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seeksToRemedy
Context triple: [Foltz Defender Bill, seeksToRemedy, inequality in criminal defense based on financial status]
  • A. remedySought chosen
    Indicates that a particular legal or corrective action is being requested as a solution or relief in response to a problem or dispute.
  • B. remedy
    Indicates that one entity serves to cure, alleviate, or counteract a problem, illness, or undesirable condition affecting another entity.
  • C. seeksToReform
    Indicates an entity’s intention or effort to change an existing system, practice, or condition in order to improve or correct it.
  • D. hasRemedy
    Indicates that one entity serves as a remedy, treatment, or corrective measure for a problem, condition, or undesirable state associated with another entity.
  • E. seeksRedemption
    Indicates that an entity is actively striving to atone for past wrongs or failures and restore its moral standing.
  • 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_69f0319d09088190bbf14cdf1987792a completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f6617ba4a88190bfc5c305acb4f93f completed May 2, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69f660f082508190a95a7888ad66cb2e completed May 2, 2026, 8:39 p.m.
Created at: April 28, 2026, 6:33 a.m.