Triple

T9385486
Position Surface form Disambiguated ID Type / Status
Subject Adam Wingard E225893 entity
Predicate notableWork P4 FINISHED
Object You’re Next E544350 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: You’re Next | Statement: [Adam Wingard, notableWork, You’re Next]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: You’re Next
Context triple: [Adam Wingard, notableWork, You’re Next]
  • A. You’re Next chosen
    "You’re Next" is a 2011 home-invasion horror film known for its dark humor, inventive kills, and twist on the final-girl trope.
  • B. It Comes at Night
    It Comes at Night is a 2017 psychological horror film about a family struggling to survive a mysterious, deadly contagion in an isolated house.
  • C. The Final Girls
    The Final Girls is a 2015 horror-comedy film that parodies 1980s slasher movies by trapping its characters inside a classic cult slasher film.
  • D. Unsane
    Unsane is a 2018 psychological horror-thriller film directed by Steven Soderbergh, known for being shot entirely on an iPhone and starring Claire Foy as a woman involuntarily committed to a mental institution.
  • E. The Black Phone
    The Black Phone is a horror short story by Joe Hill about a kidnapped boy who receives ghostly phone calls from the killer’s previous victims.
  • 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_69ca842e9dcc8190a264119e683cfe04 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50d142008190840e131e8f1940f9 completed April 1, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100eb108c8190add5bacfea1f800a completed April 4, 2026, 12:15 p.m.
Created at: March 30, 2026, 7:44 p.m.