Triple

T13541303
Position Surface form Disambiguated ID Type / Status
Subject Mary Sanderson E323391 entity
Predicate appearsIn P795 FINISHED
Object Hocus Pocus 2 E1057149 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: Hocus Pocus 2 | Statement: [Mary Sanderson, appearsIn, Hocus Pocus 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hocus Pocus 2
Context triple: [Mary Sanderson, appearsIn, 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 (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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafd8ba10819098faadcc6adf251e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac7a1ee88190951de590a4a07d6f completed May 6, 2026, 9:02 p.m.
Created at: April 9, 2026, 9:45 p.m.