Triple

T5095128
Position Surface form Disambiguated ID Type / Status
Subject Good Morning, Vietnam E114846 entity
Predicate hasAwardWon P32108 FINISHED
Object Golden Globe Award for Best Actor – Motion Picture Musical or Comedy E47260 NE FINISHED

How this triple was built (3 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 Actor – Motion Picture Musical or Comedy | Statement: [Good Morning, Vietnam, hasAwardWon, Golden Globe Award for Best Actor – Motion Picture Musical or Comedy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Golden Globe Award for Best Actor – Motion Picture Musical or Comedy
Context triple: [Good Morning, Vietnam, hasAwardWon, Golden Globe Award for Best Actor – Motion Picture Musical or Comedy]
  • A. Golden Globe Award for Best Actor – Motion Picture Musical or Comedy chosen
    The Golden Globe Award for Best Actor – Motion Picture Musical or Comedy is a prestigious annual honor presented by the Hollywood Foreign Press Association to recognize outstanding lead performances by male actors in comedic or musical films.
  • B. Golden Globe Award for Best Actress in a Motion Picture – Musical or Comedy
    The Golden Globe Award for Best Actress in a Motion Picture – Musical or Comedy is a prestigious annual film honor presented by the Hollywood Foreign Press Association to recognize outstanding lead performances by actresses in comedic or musical films.
  • C. Golden Globe Award for Best Motion Picture – Musical or Comedy
    The Golden Globe Award for Best Motion Picture – Musical or Comedy is a major film industry accolade presented annually by the Hollywood Foreign Press Association to honor outstanding feature films in the musical or comedy genre.
  • D. Golden Globe Award for Best Supporting Actor – Motion Picture
    The Golden Globe Award for Best Supporting Actor – Motion Picture is a major film industry honor presented annually by the Hollywood Foreign Press Association to recognize outstanding supporting performances by male actors in motion pictures.
  • E. Golden Globe Award for Best Actor in a Motion Picture – Drama
    The Golden Globe Award for Best Actor in a Motion Picture – Drama is a prestigious annual honor presented by the Hollywood Foreign Press Association to recognize outstanding lead performances by male actors in dramatic films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasAwardWon
Context triple: [Good Morning, Vietnam, hasAwardWon, Golden Globe Award for Best Actor – Motion Picture Musical or Comedy]
  • A. hasAwardConnection
    Indicates a relationship where an entity is connected to an award, such as by receiving, being nominated for, or otherwise associated with that award.
  • B. hasMultipleAwardsIndicatedBy
    Indicates that an entity is recognized as having received multiple awards, as evidenced or signaled by a specified source or indicator.
  • C. hasAwarded
    Indicates that one entity has given or conferred an award to another entity.
  • D. notableAwardWon chosen
    Indicates that an entity has received a specific notable award as a winner.
  • E. awardReceived
    Indicates that an entity has been granted or honored with a specific award or recognition.
  • F. None of above.

Provenance (4 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7563ad608190879a26a0bf07c3f6 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a127b0e48190880ee84f45bed359 completed March 23, 2026, 2:10 a.m.
PD Predicate disambiguation batch_69bd715c0a448190afc837c6c31dc6ab completed March 20, 2026, 4:10 p.m.
Created at: March 20, 2026, 1:40 p.m.