Triple

T1269085
Position Surface form Disambiguated ID Type / Status
Subject Jeffrey Jones E15667 entity
Predicate hasTypeOfRole P5518 FINISHED
Object supporting roles 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: supporting roles | Statement: [Jeffrey Jones, hasTypeOfRole, supporting roles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypeOfRole
Context triple: [Jeffrey Jones, hasTypeOfRole, supporting roles]
  • A. typeOfRole chosen
    Indicates that one entity specifies the kind or category of role that another entity holds or performs.
  • B. hasRole
    Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
  • C. haveType
    Indicates that an entity belongs to or is classified under a specified type or category.
  • D. hasGlobalRole
    Indicates that an entity holds a role or permission set that applies across an entire system or domain, rather than being limited to a specific scope or context.
  • E. hasAuxiliaryRole
    Indicates that an entity serves in a supporting or secondary capacity to another entity or primary role.
  • 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c03aaa8c8190bacb7de5a38329da completed March 1, 2026, 10:39 p.m.
PD Predicate disambiguation batch_69a4bede52a081909665d60acbe41d31 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:50 p.m.