Triple

T33422510
Position Surface form Disambiguated ID Type / Status
Subject Outstanding Supporting Actor in a Drama Series E855881 entity
Predicate isRoleSpecific P165075 FINISHED
Object supporting 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 | Statement: [Outstanding Supporting Actor in a Drama Series, isRoleSpecific, supporting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isRoleSpecific
Context triple: [Outstanding Supporting Actor in a Drama Series, isRoleSpecific, supporting]
  • A. isSectorSpecific
    Indicates that something is tailored or restricted to a particular industry or sector rather than being generally applicable.
  • B. usesRoleTypes chosen
    Indicates that an entity employs or is associated with specific role classifications or role types within a given context.
  • C. isTeamSpecific
    Indicates that something applies only to, or is restricted to, a particular team rather than being general or shared across multiple teams.
  • D. specialRole
    Indicates that an entity holds a distinctive or exceptional function, status, or responsibility in relation to another entity or context.
  • E. servesRole
    Indicates that one entity performs, fulfills, or occupies a particular function, position, or responsibility in relation to another entity.
  • 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_69f3496fdf0081908c1aa30870ce518b completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e47f37848190aadb137c81760f1f completed May 3, 2026, 6 a.m.
PD Predicate disambiguation batch_69f6e3da41948190a4cfe866ce184f73 completed May 3, 2026, 5:57 a.m.
Created at: May 1, 2026, 1:36 a.m.