Triple

T33509383
Position Surface form Disambiguated ID Type / Status
Subject Chief Nurse E858197 entity
Predicate overseesRole P83615 FINISHED
Object registered nurse 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: registered nurse | Statement: [Chief Nurse, overseesRole, registered nurse]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: overseesRole
Context triple: [Chief Nurse, overseesRole, registered nurse]
  • A. oversee
    Indicates having responsibility for supervising, directing, or managing the actions or work of another entity.
  • B. leadershipRolesOverseenBy
    Indicates that certain leadership roles are supervised, managed, or overseen by a specified entity.
  • C. governsRoleOf chosen
    Indicates that one entity has authority or control over the role, responsibilities, or functions assigned to another entity.
  • D. overseesDivision
    Indicates that one entity has managerial or supervisory responsibility over a specific division of an organization.
  • E. overseesOrganizationType
    Indicates that one entity has supervisory or managerial authority over an organization of a specified type.
  • 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_69f3497721848190978fbee5e0a526f8 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7675b12848190a3569cfda29c5b0e completed May 3, 2026, 3:18 p.m.
PD Predicate disambiguation batch_69f762f4b59481909f70074f11825bfb completed May 3, 2026, 3 p.m.
Created at: May 1, 2026, 1:38 a.m.