Triple

T2015429
Position Surface form Disambiguated ID Type / Status
Subject Golden Globe Award for Best Actress – Motion Picture Drama E43783 entity
Predicate roleTypeRecognized P5518 FINISHED
Object leading role 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: leading role | Statement: [Golden Globe Award for Best Actress – Motion Picture Drama, roleTypeRecognized, leading role]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleTypeRecognized
Context triple: [Golden Globe Award for Best Actress – Motion Picture Drama, roleTypeRecognized, leading role]
  • A. typeOfRole chosen
    Indicates that one entity specifies the kind or category of role that another entity holds or performs.
  • B. identificationRole
    Indicates that an entity serves as an identifier or plays a role in uniquely distinguishing or recognizing another entity.
  • C. role
    Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
  • D. recognizedAs
    Indicates that one entity is acknowledged or accepted as having the identity, role, status, or classification of another entity.
  • E. recognizedFor
    Indicates that one entity is acknowledged, credited, or honored for a particular achievement, quality, contribution, or work associated with 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8cb16048190bc626685fbb5f707 completed March 7, 2026, 5:34 a.m.
PD Predicate disambiguation batch_69abb7a03a1c81909ad50d56667db2d5 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:37 p.m.