Triple

T1982476
Position Surface form Disambiguated ID Type / Status
Subject La La Land E43057 entity
Predicate wonGoldenGlobe P17597 FINISHED
Object Best Motion Picture – Musical or Comedy E108503 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: Best Motion Picture – Musical or Comedy | Statement: [La La Land, wonGoldenGlobe, Best Motion Picture – Musical or Comedy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Best Motion Picture – Musical or Comedy
Context triple: [La La Land, wonGoldenGlobe, Best Motion Picture – Musical or Comedy]
  • A. Golden Globe Award for Best Motion Picture – Musical or Comedy chosen
    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.
  • B. Golden Globe Award for Best Actor – Motion Picture Musical or Comedy
    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.
  • C. 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.
  • D. Academy Award for Best Short Subject, Cartoons
    The Academy Award for Best Short Subject, Cartoons was a former Oscar category that honored outstanding animated short films, frequently won by Walt Disney in the early years of the Academy Awards.
  • E. Academy Award for Best Original Song
    The Academy Award for Best Original Song is a prestigious Oscar category honoring the best original song written specifically for a film each year.
  • 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: wonGoldenGlobe
Context triple: [La La Land, wonGoldenGlobe, Best Motion Picture – Musical or Comedy]
  • A. goldenGlobeAwardFor chosen
    Indicates that an entity has received a Golden Globe Award for a specified work, role, or achievement.
  • B. goldenGlobeNomination
    Indicates that an entity received a nomination for a Golden Globe award.
  • C. goldenGlobeYear
    Indicates the specific year in which a Golden Globe award or nomination associated with an entity took place.
  • D. oscarAward
    Indicates that an entity has received or been honored with an Academy Award (Oscar).
  • E. bestPictureWinner
    Indicates that the subject is the film that won the Best Picture award in a given context or year.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb96f932881908bebfc4176fda7c0 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae032e1f648190acb502b9f82fe8c2 completed March 8, 2026, 11:15 p.m.
PD Predicate disambiguation batch_69abb798d288819083132cf14605bd02 completed March 7, 2026, 5:28 a.m.
Created at: March 4, 2026, 7:37 p.m.