Triple

T24726917
Position Surface form Disambiguated ID Type / Status
Subject Stormy Daniels–Donald Trump scandal E618178 entity
Predicate involvesProsecutorOffice P5672 FINISHED
Object Manhattan District Attorney 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: Manhattan District Attorney | Statement: [Stormy Daniels–Donald Trump scandal, involvesProsecutorOffice, Manhattan District Attorney]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: involvesProsecutorOffice
Context triple: [Stormy Daniels–Donald Trump scandal, involvesProsecutorOffice, Manhattan District Attorney]
  • A. prosecutorSought
    Indicates that a prosecutor actively pursued or requested a particular legal action, charge, or outcome against a party.
  • B. subjectOfProsecution
    Indicates that an entity is the target or focus of a legal prosecution or criminal proceeding initiated by an authority.
  • C. prosecutingAuthority chosen
    Indicates that an entity serves as the official body responsible for bringing and conducting legal proceedings against another party in a criminal or regulatory case.
  • D. notableProsecutor
    Indicates that the person served as a prosecutor in a way that is widely recognized as significant or noteworthy.
  • E. subsequentProsecutor
    Indicates that one prosecutor follows or succeeds another in handling the same or a related legal case.
  • 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_69f5f6baf2d48190a6a4cd6501be87d2 completed May 2, 2026, 1:06 p.m.
PD Predicate disambiguation batch_69f5afd5baac8190bb8ed576813c8591 completed May 2, 2026, 8:03 a.m.
Created at: April 18, 2026, 3:59 a.m.