Triple

T36506980
Position Surface form Disambiguated ID Type / Status
Subject Lori Fortier E899492 entity
Predicate testimonyUsedFor P81793 FINISHED
Object securing conviction of Timothy McVeigh 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: securing conviction of Timothy McVeigh | Statement: [Lori Fortier, testimonyUsedFor, securing conviction of Timothy McVeigh]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: testimonyUsedFor
Context triple: [Lori Fortier, testimonyUsedFor, securing conviction of Timothy McVeigh]
  • A. gaveTestimonyIn
    Indicates that one entity provided formal testimony or a statement in an official proceeding, event, or context associated with another entity.
  • B. hasTestimony
    Indicates that an entity provides, contains, or is associated with a formal statement or account (testimony) about another entity or event.
  • C. testimonyAffects chosen
    Indicates that one party’s testimony has an influence or impact on another entity, situation, or outcome.
  • D. testimonyCharacteristic
    Indicates that a particular quality, feature, or attribute is being ascribed to a testimony or statement given by an entity.
  • E. viewOnTestimony
    Indicates a stance or evaluation someone holds regarding the credibility, role, or use of testimony as a source of knowledge or evidence.
  • 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_69f76e5b92088190933afda3f7531dd4 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c777e924819081a6634f549fe552 completed May 3, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69f7c477a4d481908f52e55b6688f60c completed May 3, 2026, 9:56 p.m.
Created at: May 3, 2026, 4:10 p.m.