Triple

T6118773
Position Surface form Disambiguated ID Type / Status
Subject Best Actress in a Television Series – Musical or Comedy E136427 entity
Predicate distinguishedFrom P1612 FINISHED
Object Golden Globe Award for Best Actress – Television Series Drama E201993 NE 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: Golden Globe Award for Best Actress – Television Series Drama | Statement: [Best Actress in a Television Series – Musical or Comedy, distinguishedFrom, Golden Globe Award for Best Actress – Television Series Drama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golden Globe Award for Best Actress – Television Series Drama
Context triple: [Best Actress in a Television Series – Musical or Comedy, distinguishedFrom, Golden Globe Award for Best Actress – Television Series Drama]
  • A. Golden Globe Award for Best Actress – Television Series Drama chosen
    The Golden Globe Award for Best Actress – Television Series Drama is a prestigious annual honor presented by the Hollywood Foreign Press Association to recognize outstanding lead performances by actresses in dramatic television series.
  • B. Golden Globe Award for Best Actress in a Miniseries or Motion Picture Made for Television
    The Golden Globe Award for Best Actress in a Miniseries or Motion Picture Made for Television is a prestigious annual honor presented by the Hollywood Foreign Press Association to recognize outstanding lead performances by actresses in television films and limited series.
  • C. Golden Globe Award for Best Actor – Television Series Drama
    The Golden Globe Award for Best Actor – Television Series Drama is a major television acting honor presented annually by the Hollywood Foreign Press Association to recognize outstanding lead performances by male actors in dramatic TV series.
  • D. Golden Globe Award for Best Actress – Television Series Musical or Comedy
    The Golden Globe Award for Best Actress – Television Series Musical or Comedy is a major annual television acting honor presented by the Hollywood Foreign Press Association to recognize outstanding lead performances by actresses in comedic or musical TV series.
  • E. Golden Globe Award for Best Supporting Actress – Series, Miniseries or Television Film
    The Golden Globe Award for Best Supporting Actress – Series, Miniseries or Television Film is a major television acting honor presented by the Hollywood Foreign Press Association to recognize outstanding supporting performances by actresses in TV series, limited series, or made-for-television movies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bee12488190ab217e8956f2f1f3 completed March 22, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c243bd199081909a96366cc39bf43e completed March 24, 2026, 7:56 a.m.
Created at: March 22, 2026, 4:14 p.m.