Triple

T2459297
Position Surface form Disambiguated ID Type / Status
Subject Moonstruck E54492 entity
Predicate screenplayAwarded P10676 FINISHED
Object John Patrick Shanley – Academy Award for Best Original Screenplay 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: John Patrick Shanley – Academy Award for Best Original Screenplay | Statement: [Moonstruck, screenplayAwarded, John Patrick Shanley – Academy Award for Best Original Screenplay]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: screenplayAwarded
Context triple: [Moonstruck, screenplayAwarded, John Patrick Shanley – Academy Award for Best Original Screenplay]
  • A. academyAwardForBestWritingScreenplay
    Indicates that an entity received the Academy Award for Best Writing (Screenplay) for a particular film or work.
  • B. bestAdaptedScreenplayWinner
    Indicates that the subject is the work or person that won the award for Best Adapted Screenplay in a given context or event.
  • C. bestOriginalScreenplayWinner chosen
    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. screenplayWrittenFor
    Indicates that a screenplay was written specifically for a particular film, show, or production.
  • E. screenplayBy
    Indicates that a film, television show, or similar work was written or scripted by a particular person or group.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd49c5aa081909ab4f726a458b77f completed March 7, 2026, 7:32 a.m.
PD Predicate disambiguation batch_69abd0b199488190aa381b36593ae1ac completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:44 p.m.