Triple

T2391936
Position Surface form Disambiguated ID Type / Status
Subject Dani Ardor E48962 entity
Predicate appearsIn P795 FINISHED
Object Midsommar E47452 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: Midsommar | Statement: [Dani Ardor, appearsIn, Midsommar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Midsommar
Context triple: [Dani Ardor, appearsIn, Midsommar]
  • A. Midsommar chosen
    Midsommar is a 2019 folk horror film directed by Ari Aster that follows a troubled couple attending a sinister Swedish midsummer festival.
  • B. The Witch
    The Witch is a central, morally complex sorceress in the musical fantasy "Into the Woods," known for driving the plot through her curses, bargains, and eventual transformation.
  • C. The Babadook
    The Babadook is a 2014 Australian psychological horror film about a grieving mother and her troubled son who are terrorized by a sinister entity emerging from a mysterious children's pop-up book.
  • D. Klaus
    Klaus is a masculine given name of German origin commonly used in German-speaking countries.
  • E. Krampus (2015 film)
    Krampus (2015 film) is a 2015 horror-comedy movie that blends dark folklore and holiday themes, following a dysfunctional family terrorized by the demonic Christmas figure Krampus.
  • 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_69a88aa5f63081908d07fd302029fcbd completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc87587708190a7f2bc473a898bc2 completed March 7, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3d7b4908190a87dd33316d2d725 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:57 p.m.