Triple

T14879341
Position Surface form Disambiguated ID Type / Status
Subject Tobe Hooper E349955 entity
Predicate notableWork P4 FINISHED
Object The Funhouse E888939 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 Funhouse | Statement: [Tobe Hooper, notableWork, The Funhouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Funhouse
Context triple: [Tobe Hooper, notableWork, The Funhouse]
  • A. The Funhouse chosen
    The Funhouse is a 1981 horror film directed by Tobe Hooper, known for its sinister carnival setting and cult status among slasher-movie fans.
  • B. Funhouse
    Funhouse is a 2008 pop-rock album by American singer Pink, noted for its mix of emotional ballads and energetic anthems exploring themes of heartbreak and resilience.
  • C. Funhouse
    Funhouse is a 2019 horror-thriller film about reality-show contestants trapped in a deadly online competition.
  • D. Funny the Funhouse
    Funny the Funhouse is a magical, talking playhouse character that serves as the central setting and guide for Mickey and his friends in the animated preschool series "Mickey Mouse Funhouse."
  • E. Phantasmagoria
    Phantasmagoria is a 1995 full-motion video horror adventure game by Roberta Williams, known for its graphic content, cinematic storytelling, and controversial themes.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e622388190b2bf91cd10b9821d completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b5670108190b41ef95dc318be60 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:55 a.m.