Triple

T34249977
Position Surface form Disambiguated ID Type / Status
Subject Academy Award for Best Foreign Language Film (for Amarcord film) E878711 entity
Predicate filmLanguageCategory P103547 FINISHED
Object non-English-language feature 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: non-English-language feature | Statement: [Academy Award for Best Foreign Language Film (for Amarcord film), filmLanguageCategory, non-English-language feature]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: filmLanguageCategory
Context triple: [Academy Award for Best Foreign Language Film (for Amarcord film), filmLanguageCategory, non-English-language feature]
  • A. filmLanguageFormat
    Indicates the specific language and presentation format (e.g., dubbed, subtitled, original audio) in which a film is released or available.
  • B. filmGenreOfRelatedWork
    Indicates that a work is related to another work through sharing or being associated with the same film genre.
  • C. filmedInLanguage chosen
    Indicates that a film or video work was originally recorded using a particular spoken or signed language.
  • D. basedInFilmLanguage
    Indicates that something is created, presented, or expressed using the language employed in a particular film.
  • E. honouredFilmLanguage
    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_69f349b3618481909df955b063f305b2 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71362f1448190985a80ce7af475cb completed May 3, 2026, 9:20 a.m.
PD Predicate disambiguation batch_69f7127884388190884f23d181a65d19 completed May 3, 2026, 9:16 a.m.
Created at: May 1, 2026, 1:56 a.m.