Triple

T29339738
Position Surface form Disambiguated ID Type / Status
Subject Star Wars Skywalker saga films E744004 entity
Predicate prequelTrilogyStart P47760 FINISHED
Object Star Wars: Episode I – The Phantom Menace 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: Star Wars: Episode I – The Phantom Menace | Statement: [Star Wars Skywalker saga films, prequelTrilogyStart, Star Wars: Episode I – The Phantom Menace]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: prequelTrilogyStart
Context triple: [Star Wars Skywalker saga films, prequelTrilogyStart, Star Wars: Episode I – The Phantom Menace]
  • A. prequelOrSequelTo
    Indicates that one work in a narrative series occurs earlier or later in the storyline or release order relative to another work, as its prequel or sequel.
  • B. isPrequelTo chosen
    Indicates that one work or event occurs earlier in time and narratively sets up or leads into another work or event.
  • C. partOfTrilogy
    Indicates that one work belongs to a set of three related works that together form a trilogy.
  • D. hasAnimatedPrequel
    Indicates that one work serves as an earlier, animated installment in the narrative or release sequence of another work.
  • E. narrativeTimeGapFromPrequel
    Indicates that there is a temporal gap in the story’s timeline between this work and its prequel.
  • 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_69f09126cfcc8190899b16fbf3c2bf7b completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f669261f588190aa20417cfee752e4 completed May 2, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69f660f4f7a88190b93c60d76b86c912 completed May 2, 2026, 8:39 p.m.
Created at: April 28, 2026, 1:33 p.m.