Triple

T19715733
Position Surface form Disambiguated ID Type / Status
Subject Samara Weaving E473471 entity
Predicate notableWork P4 FINISHED
Object The Babysitter 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: The Babysitter | Statement: [Samara Weaving, notableWork, The Babysitter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Babysitter
Context triple: [Samara Weaving, notableWork, The Babysitter]
  • A. The Babysitter chosen
    The Babysitter is a 2017 American horror-comedy film about a young boy who discovers his attractive babysitter is part of a satanic cult.
  • B. The Babysitter: Killer Queen
    The Babysitter: Killer Queen is a 2020 American horror-comedy film and sequel to The Babysitter, following teenager Cole as he once again faces a satanic blood cult during a chaotic lakeside getaway.
  • C. The Babysitters
    The Babysitters is a 2007 independent drama film about a teenage girl who turns her babysitting service into a clandestine call-girl operation for suburban fathers.
  • D. The Babysitters
    The Babysitters is a poem by Sylvia Plath that reflects her characteristic blend of domestic imagery and psychological intensity.
  • E. The Babysitter’s Seduction
    The Babysitter’s Seduction is a 1996 made-for-television thriller film about a teenage babysitter entangled in a dangerous mystery following the suspicious death of her wealthy employer’s wife.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6440cb47c81908124dfbd6f781d23 completed April 20, 2026, 3:19 p.m.
Created at: April 10, 2026, 1:46 p.m.