Triple

T20805786
Position Surface form Disambiguated ID Type / Status
Subject United States v. Ray Nagin E512148 entity
Predicate consequenceForDefendant P36372 FINISHED
Object federal prison sentence 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: federal prison sentence | Statement: [United States v. Ray Nagin, consequenceForDefendant, federal prison sentence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: consequenceForDefendant
Context triple: [United States v. Ray Nagin, consequenceForDefendant, federal prison sentence]
  • A. consequenceInText
    Indicates that one event, action, or state is presented in the text as a consequence or result of another.
  • B. hasConsequence
    Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
  • C. consequenceOfInfluence
    Indicates that one event, state, or condition occurs as a result of the influence or impact exerted by another.
  • D. violationConsequences chosen
    Indicates the negative outcomes, penalties, or repercussions that result from a violation of a rule, law, or agreement.
  • E. hasJurisdictionalConsequence
    Indicates that an action, decision, or fact results in a legal or administrative effect within a particular jurisdiction or authority.
  • 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2cf1cbc819092d92625dfb107d0 completed April 21, 2026, 12:20 a.m.
PD Predicate disambiguation batch_69e5c99ca55481908e8d434fa901cfd6 completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:40 p.m.