Triple

T24726902
Position Surface form Disambiguated ID Type / Status
Subject Stormy Daniels–Donald Trump scandal E618178 entity
Predicate involvesLawyer P8814 FINISHED
Object Michael Cohen 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: Michael Cohen | Statement: [Stormy Daniels–Donald Trump scandal, involvesLawyer, Michael Cohen]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: involvesLawyer
Context triple: [Stormy Daniels–Donald Trump scandal, involvesLawyer, Michael Cohen]
  • A. legalDocumentInvolvement
    Indicates that an entity is involved with a legal document in some specified role (e.g., author, signer, subject, or recipient).
  • B. legalRepresentation chosen
    Indicates that one entity formally acts on behalf of another in legal matters, such as providing counsel, advocacy, or defense within a legal system.
  • C. legalMatters
    Indicates that one entity is involved with, concerned about, or responsible for legal issues, processes, or obligations related to another entity or context.
  • D. legalCaseRelatedTo
    Indicates that there is a relevant connection or association between a legal case and another entity, such as a person, organization, event, or legal matter.
  • E. legalPractice
    Indicates a relationship where an entity engages in or is associated with the professional provision of legal services or the practice of law.
  • 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_69e2fab772608190b74163751047ff50 completed April 18, 2026, 3:29 a.m.
NER Named-entity recognition batch_69f55e519978819087a1676564a74630 completed May 2, 2026, 2:15 a.m.
PD Predicate disambiguation batch_69f4a0edd10c81908a052ab864d57c54 completed May 1, 2026, 12:47 p.m.
Created at: April 18, 2026, 3:59 a.m.