Triple

T26573298
Position Surface form Disambiguated ID Type / Status
Subject Tyson Timbs E666882 entity
Predicate stateOfLegalCase P176278 FINISHED
Object Indiana 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: Indiana | Statement: [Tyson Timbs, stateOfLegalCase, Indiana]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stateOfLegalCase
Context triple: [Tyson Timbs, stateOfLegalCase, Indiana]
  • A. statusInLegalSystem
    Indicates the current standing or condition of an entity within a legal or judicial framework (e.g., pending, active, resolved, or appealed).
  • B. courtStatus
    Indicates the current legal or procedural state of a case or matter within a court system.
  • C. stateOfLaw
    Indicates that a specified legal condition, rule, or status is currently in force or applicable within a given jurisdiction or context.
  • D. judicialStatus
    Indicates the legal or court-related condition or standing of an entity within a judicial process (e.g., pending, decided, appealed).
  • E. legalStatusOfProceedings
    Indicates the current legal standing or condition of a set of legal proceedings within a judicial or administrative process.
  • 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_69ee9cfa21c081909e4e36e087debfc6 completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f6dfcafd0c81908d86662948c539d6 completed May 3, 2026, 5:40 a.m.
PD Predicate disambiguation batch_69f6de07836481908785cde9c511920b completed May 3, 2026, 5:32 a.m.
PDg Predicate description generation batch_69f6df418f488190a5e7ff41f32dceda completed May 3, 2026, 5:38 a.m.
Created at: April 27, 2026, 1:59 a.m.