Triple

T8067916
Position Surface form Disambiguated ID Type / Status
Subject Office of Independent Counsel E188291 entity
Predicate coveredOfficials P44336 FINISHED
Object President of the United States 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: President of the United States | Statement: [Office of Independent Counsel, coveredOfficials, President of the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coveredOfficials
Context triple: [Office of Independent Counsel, coveredOfficials, President of the United States]
  • A. officeHolders
    Indicates a relationship where one or more entities hold, or have held, an official position or role within a specified organization, institution, or jurisdiction.
  • B. governmentBodyOccupant chosen
    Indicates that a person holds an official position or role within a particular government body or institution.
  • C. notableOfficer
    Indicates that an entity has served as a significant or distinguished officer of another entity, such as an organization, institution, or group.
  • D. officeHoldersCollectively
    Indicates that a group of individuals jointly hold, or have held, a particular office or set of offices as a collective body.
  • E. officeHoldersParticipateIn
    Indicates that individuals holding an office take part in or are involved in a specified event, activity, or process.
  • 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ff8a4fc8190a97fc7111ca7ec4d completed March 31, 2026, 3:31 a.m.
PD Predicate disambiguation batch_69cb049cd51c8190bb3b0f503e42fa8d completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:27 p.m.