Triple

T18364709
Position Surface form Disambiguated ID Type / Status
Subject Simon Kunz E440009 entity
Predicate notableWork P4 FINISHED
Object Ever After 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: Ever After | Statement: [Simon Kunz, notableWork, Ever After]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ever After
Context triple: [Simon Kunz, notableWork, Ever After]
  • A. Ever After chosen
    Ever After is a 1998 romantic drama film that offers a grounded, feminist retelling of the Cinderella fairy tale, starring Drew Barrymore and set in Renaissance-era France.
  • B. Happily Ever After
    "Happily Ever After" is a standout comic ballad from the musical "Once Upon a Mattress," known for its witty, subversive take on traditional fairy-tale endings.
  • C. Happily Ever After
    Happily Ever After is a nighttime fireworks and projection spectacular at Walt Disney World’s Magic Kingdom that combines music, pyrotechnics, and castle projections to celebrate Disney stories.
  • D. Unhappily Ever After
    Unhappily Ever After is a 1990s American sitcom that parodies traditional family shows through a dysfunctional household and a talking stuffed rabbit.
  • E. Nappily Ever After
    Nappily Ever After is a romantic comedy-drama film centered on a perfectionist woman’s journey of self-discovery and acceptance, particularly through her relationship with her hair and identity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5174d31608190851a5bab6878c203 completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:38 a.m.