Triple

T21849998
Position Surface form Disambiguated ID Type / Status
Subject Scott Sullivan E539477 entity
Predicate testimonyContext P4080 FINISHED
Object criminal trial related to WorldCom accounting fraud 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: criminal trial related to WorldCom accounting fraud | Statement: [Scott Sullivan, testimonyContext, criminal trial related to WorldCom accounting fraud]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: testimonyContext
Context triple: [Scott Sullivan, testimonyContext, criminal trial related to WorldCom accounting fraud]
  • A. gaveTestimonyIn chosen
    Indicates that one entity provided formal testimony or a statement in an official proceeding, event, or context associated with another entity.
  • B. testimonyAffects
    Indicates that one party’s testimony has an influence or impact on another entity, situation, or outcome.
  • C. viewOnTestimony
    Indicates a stance or evaluation someone holds regarding the credibility, role, or use of testimony as a source of knowledge or evidence.
  • D. hasTestimony
    Indicates that an entity provides, contains, or is associated with a formal statement or account (testimony) about another entity or event.
  • E. mediumOfTestimony
    Indicates the medium or channel (such as written, oral, or digital form) through which a testimony is communicated or delivered.
  • 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0bd582ca48190890648fdee2a0c6e completed April 28, 2026, 1:59 p.m.
PD Predicate disambiguation batch_69e6be8c14748190bdcc44a14d50bea4 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 6:55 p.m.