Triple

T10890789
Position Surface form Disambiguated ID Type / Status
Subject KiKi Layne E257166 entity
Predicate appearsIn P795 FINISHED
Object Don’t Worry Darling E47458 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: Don’t Worry Darling | Statement: [KiKi Layne, appearsIn, Don’t Worry Darling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don’t Worry Darling
Context triple: [KiKi Layne, appearsIn, Don’t Worry Darling]
  • A. Don’t Worry Darling chosen
    Don’t Worry Darling is a 2022 psychological thriller film directed by Olivia Wilde, known for its stylish 1950s-inspired setting and Florence Pugh’s acclaimed lead performance.
  • B. Kill Me, Darling
    "Kill Me, Darling" is a hardboiled crime novel in the Mike Hammer detective series created by Mickey Spillane.
  • C. A Simple Favor
    A Simple Favor is a 2018 darkly comedic mystery-thriller film centered on a mommy vlogger who investigates the sudden disappearance of her glamorous best friend.
  • D. Ready or Not
    Ready or Not is a 2019 horror-comedy film in which a new bride must survive a deadly game of hide-and-seek orchestrated by her wealthy in-laws on her wedding night.
  • E. Lootera
    Lootera is a 2013 Indian period romantic drama film directed by Vikramaditya Motwane, loosely inspired by O. Henry’s short story "The Last Leaf."
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7520550c4819081296546c8f534f1 completed April 9, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3443f04c08190a8071ac7374115b1 completed April 18, 2026, 8:43 a.m.
Created at: April 8, 2026, 9:21 p.m.