Triple

T18262857
Position Surface form Disambiguated ID Type / Status
Subject David Kirschner E437405 entity
Predicate producerOf P490 FINISHED
Object Hocus Pocus 2 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: Hocus Pocus 2 | Statement: [David Kirschner, producerOf, Hocus Pocus 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hocus Pocus 2
Context triple: [David Kirschner, producerOf, Hocus Pocus 2]
  • A. Hocus Pocus 2 chosen
    Hocus Pocus 2 is a 2022 Disney fantasy-comedy film that serves as the sequel to the cult classic Hocus Pocus, following the return of the Sanderson sisters to modern-day Salem.
  • B. Hocus Pocus
    Hocus Pocus is a satirical novel by Kurt Vonnegut that critiques war, the prison-industrial complex, and American society through the darkly comic reflections of a Vietnam veteran turned college professor.
  • C. Hocus Pocus
    Hocus Pocus is a 1993 fantasy-comedy film about three resurrected witches wreaking havoc in modern-day Salem, which has since become a cult Halloween classic.
  • D. One Halloween
    "One Halloween" is a song featured on the musical theatre album *Applause*.
  • E. 31 Nights of Halloween
    31 Nights of Halloween is Freeform’s annual month-long programming event featuring Halloween-themed movies, specials, and family-friendly spooky content.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff77882c81909774aefc57ccca3e completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.