Triple

T9798919
Position Surface form Disambiguated ID Type / Status
Subject Strickland v. Washington E237785 entity
Predicate prejudiceStandard P90032 FINISHED
Object reasonable probability that, but for counsel’s unprofessional errors, the result of the proceeding would have been different — 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: reasonable probability that, but for counsel’s unprofessional errors, the result of the proceeding would have been different | Statement: [Strickland v. Washington, prejudiceStandard, reasonable probability that, but for counsel’s unprofessional errors, the result of the proceeding would have been different]
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: prejudiceStandard
Context triple: [Strickland v. Washington, prejudiceStandard, reasonable probability that, but for counsel’s unprofessional errors, the result of the proceeding would have been different]
  • A. bias
    Indicates a systematic preference or prejudice in favor of or against an entity, affecting how it is treated, evaluated, or represented relative to others.
  • B. jointStandardOf
    Indicates that two or more entities share responsibility for defining, maintaining, or adhering to the same standard or set of rules.
  • C. typicalPrecedent
    Indicates that one situation, case, or event serves as a standard or commonly followed example for how similar later situations are handled.
  • D. discriminatedAgainst
    Indicates that one entity treats another unfairly or unequally based on a particular characteristic, such as race, gender, or other protected attributes.
  • E. typicalAssumption
    Indicates that something is taken as a standard or default assumption that generally holds in typical or normal circumstances.
  • F. None of above. chosen

Provenance (4 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda627cc2c81909ccc2e26751f5e85 completed April 1, 2026, 11:11 p.m.
PD Predicate disambiguation batch_69cd03da45a88190b71b1be3354c15a6 completed April 1, 2026, 11:39 a.m.
PDg Predicate description generation batch_69cd06abc9248190a506b64e9c516d03 completed April 1, 2026, 11:51 a.m.
Created at: March 30, 2026, 8:28 p.m.