Triple

T2795979
Position Surface form Disambiguated ID Type / Status
Subject Thomas J. Biersteker E53036 entity
Predicate hasAcademicInterest P36625 FINISHED
Object role of non-state actors in global governance 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: role of non-state actors in global governance | Statement: [Thomas J. Biersteker, hasAcademicInterest, role of non-state actors in global governance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAcademicInterest
Context triple: [Thomas J. Biersteker, hasAcademicInterest, role of non-state actors in global governance]
  • A. hasAcademicBackgroundIn
    Indicates that an entity possesses formal education, training, or scholarly experience in a specified academic field or discipline.
  • B. hasSubjectOfStudy chosen
    Indicates that an entity (such as a person or organization) focuses on, researches, or specializes in a particular field or topic of study.
  • C. academicFocus
    Indicates the primary field of study, discipline, or subject area that an entity concentrates on academically.
  • D. hasAcademicFunction
    Indicates that an entity serves a specific academic role, duty, or function within an educational or scholarly context.
  • E. usesResearchSubject
    Indicates that one entity employs or utilizes another entity as a research subject in a study or investigation.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abddef754081908e6218dc2208e0fd completed March 7, 2026, 8:12 a.m.
PD Predicate disambiguation batch_69abdd040f9481908e9c7a2df88ea1ae completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:58 p.m.