Triple

T32063036
Position Surface form Disambiguated ID Type / Status
Subject Evan Treborn E818794 entity
Predicate hasAlternateEndingsIn P55743 FINISHED
Object The Butterfly Effect DVD releases 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: The Butterfly Effect DVD releases | Statement: [Evan Treborn, hasAlternateEndingsIn, The Butterfly Effect DVD releases]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAlternateEndingsIn
Context triple: [Evan Treborn, hasAlternateEndingsIn, The Butterfly Effect DVD releases]
  • A. alternateEnding chosen
    Indicates that one version of a work provides a different conclusion or final sequence of events compared to the original or primary ending.
  • B. hasAlternateTimeline
    Indicates that an entity exists or occurs in a different possible or parallel timeline relative to another reference timeline.
  • C. hasAlternateTake
    Indicates that one entity is an alternative version or different take of another, typically representing a variant recording, shot, or rendition of the same underlying content.
  • D. hasUnfinishedEnding
    Indicates that an entity concludes in an incomplete, unresolved, or open-ended manner rather than reaching a fully finished state.
  • E. hasAlternativeEditionTitle
    Indicates that an entity has a different or variant title used in another edition of the same work.
  • 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_69f348fdacec8190b9f74375ca3b2094 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fcc7338120819081cb46547d60f2cb completed May 7, 2026, 5:09 p.m.
PD Predicate disambiguation batch_69fcc58566a0819082d5ea36e03bf0c6 completed May 7, 2026, 5:01 p.m.
Created at: May 1, 2026, 12:22 a.m.