Triple

T26729657
Position Surface form Disambiguated ID Type / Status
Subject Academy Award for Best Actress for The Last Picture Show E673931 entity
Predicate languageOfNominatedWork P136321 FINISHED
Object English 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: English | Statement: [Academy Award for Best Actress for The Last Picture Show, languageOfNominatedWork, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfNominatedWork
Context triple: [Academy Award for Best Actress for The Last Picture Show, languageOfNominatedWork, English]
  • A. originalLanguageOfWinningWorks
    Indicates the language in which the works that won an award or competition were originally created or written.
  • B. officialLanguageOfNomination
    Indicates the language officially used in the nomination process or documentation for a given entity.
  • C. languageOfMostNominations
    Indicates the language in which the highest number of nominations (e.g., for awards or recognitions) have been made within a given context.
  • D. languageOfParentWork
    Indicates that the specified language is the language in which the parent (original or containing) work is expressed.
  • E. honouredFilmLanguage chosen
    Indicates that a particular language is the one in which a film was created or presented that received an honor, award, or special recognition.
  • 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_69eecda57ab481909424e98f2835e7d8 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69fbc36ce1f88190a7fa1656b714e107 completed May 6, 2026, 10:40 p.m.
PD Predicate disambiguation batch_69fbbd13595c81908719f52c3d37a7e8 completed May 6, 2026, 10:13 p.m.
Created at: April 27, 2026, 3:44 a.m.