Triple

T14568641
Position Surface form Disambiguated ID Type / Status
Subject Maisie Williams E341853 entity
Predicate appearedIn P795 FINISHED
Object The Falling E1054899 NE 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 Falling | Statement: [Maisie Williams, appearedIn, The Falling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Falling
Context triple: [Maisie Williams, appearedIn, The Falling]
  • A. The Falling chosen
    The Falling is a 2014 British drama film set in a girls' school in the 1960s, exploring mass hysteria and adolescent sexuality, in which Monica Dolan plays a key role.
  • B. Ready to Fall
    "Ready to Fall" is a politically charged punk rock song by Rise Against that addresses environmental destruction and humanity’s impact on the planet.
  • C. Freefall
    "Freefall" is a song by the American rock band BUBBA, likely showcasing their energetic style and musical identity.
  • D. Learn How to Fall
    "Learn How to Fall" is a song by American singer-songwriter Paul Simon, featured on his 1973 album "There Goes Rhymin' Simon."
  • E. Falling Free
    Falling Free is a science fiction novel by Lois McMaster Bujold set in her Vorkosigan Saga universe, exploring themes of bioengineering, corporate ethics, and human rights through the story of genetically modified "quaddies" designed for zero-gravity work.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38d89fc819086709fd3607b835f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac858108190b7c90130f18b0ddb completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.