Triple

T5143252
Position Surface form Disambiguated ID Type / Status
Subject Wonderland Sound and Vision E116009 entity
Predicate notableWork P4 FINISHED
Object The Babysitter E379707 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: The Babysitter | Statement: [Wonderland Sound and Vision, notableWork, The Babysitter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Babysitter
Context triple: [Wonderland Sound and Vision, 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 Babysitters
    The Babysitters is a poem by Sylvia Plath that reflects her characteristic blend of domestic imagery and psychological intensity.
  • C. Summer of Sam
    Summer of Sam is a 1999 crime thriller film directed by Spike Lee that dramatizes the fear and paranoia in New York City during the 1977 Son of Sam murders.
  • D. The Night House
    The Night House is a 2020 psychological horror film in which Rebecca Hall plays a grieving widow uncovering disturbing secrets about her late husband and their lakeside home.
  • E. Night Trap
    Night Trap is a controversial 1992 interactive movie horror video game known for its full-motion video gameplay and its central role in early 1990s debates over video game violence and content regulation.
  • 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7883004881909c763da818d9b6e2 completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef7f117ac8190a03379437484627b completed March 21, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:43 p.m.