Triple

T22567569
Position Surface form Disambiguated ID Type / Status
Subject United States v. John W. Dean III E557991 entity
Predicate involvesTestimony P7873 FINISHED
Object testimony about Watergate cover-up 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: testimony about Watergate cover-up | Statement: [United States v. John W. Dean III, involvesTestimony, testimony about Watergate cover-up]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: involvesTestimony
Context triple: [United States v. John W. Dean III, involvesTestimony, testimony about Watergate cover-up]
  • 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 chosen
    Indicates that an entity provides, contains, or is associated with a formal statement or account (testimony) about another entity or event.
  • 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. testimonyAffects
    Indicates that one party’s testimony has an influence or impact on another entity, situation, or outcome.
  • 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_69e11e5ae4ac8190b1f503457603d969 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fabb9f081908c33c8e2ddf18047 completed April 29, 2026, 1:32 a.m.
PD Predicate disambiguation batch_69ee626e6bb08190ada4dd8b48cc0c43 completed April 26, 2026, 7:07 p.m.
Created at: April 16, 2026, 8:52 p.m.