Triple

T32812504
Position Surface form Disambiguated ID Type / Status
Subject 1951 Academy Awards E839192 entity
Predicate bestWritingStoryAndScreenplayWinner P37205 FINISHED
Object Panic in the Streets NE NERFINISHED

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: Panic in the Streets | Statement: [1951 Academy Awards, bestWritingStoryAndScreenplayWinner, Panic in the Streets]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bestWritingStoryAndScreenplayWinner
Context triple: [1951 Academy Awards, bestWritingStoryAndScreenplayWinner, Panic in the Streets]
  • A. bestWritingScreenplayWinner
    Indicates that the subject is the entity that won the award for best writing (screenplay) for the associated work or event.
  • B. bestWritingMotionPictureStoryWinnerFilm
    Indicates that the subject film is the winner of the Best Writing (Motion Picture Story) award.
  • C. bestOriginalScreenplayWinner
    Indicates that the subject is the work (typically a film) that won the award for Best Original Screenplay in a given context or year.
  • D. bestOriginalScreenplayWriter
    Indicates that the subject is the writer who received the top honor or award for an original screenplay, distinguishing them as the best among eligible works.
  • E. bestWritingOriginalStoryWinner chosen
    Indicates that the subject is the winner of an award or recognition for best writing of an original story.
  • 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_69f3493d35208190b4351b4e85f2fa16 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6ce6d659881909ddcec1d2966e020 completed May 3, 2026, 4:26 a.m.
PD Predicate disambiguation batch_69f6cc1667a48190b42684f6ec22dae9 completed May 3, 2026, 4:16 a.m.
Created at: May 1, 2026, 1:15 a.m.