Triple

T7908086
Position Surface form Disambiguated ID Type / Status
Subject David Millar E183625 entity
Predicate hasBeenSanctionedFor P32770 FINISHED
Object doping 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: doping | Statement: [David Millar, hasBeenSanctionedFor, doping]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBeenSanctionedFor
Context triple: [David Millar, hasBeenSanctionedFor, doping]
  • A. isSanctionedBy
    Indicates that an entity is subject to official penalties, restrictions, or punitive measures imposed by another authority or organization.
  • B. canBeSanctionedFor
    Indicates that an entity is subject to penalties or disciplinary measures as a consequence of a specified action, behavior, or condition.
  • C. coSanctionsWith
    Indicates that two or more entities jointly impose, support, or participate in the same sanctions or sanctioning action.
  • D. receivedSanctionFrom chosen
    Indicates that one entity has been subjected to a formal penalty, restriction, or disciplinary measure imposed by another entity.
  • E. coSanctions
    Indicates that two or more entities jointly impose or support the same sanction or set of sanctions on a target.
  • 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a59de00819099f1ce02bb469e75 completed March 31, 2026, 3:07 a.m.
PD Predicate disambiguation batch_69cae92f9498819085277879e59aa072 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:03 p.m.