Triple

T3056290
Position Surface form Disambiguated ID Type / Status
Subject Hocus Pocus E60487 entity
Predicate portrayedBy P1507 FINISHED
Object Vinessa Shaw E269274 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: Vinessa Shaw | Statement: [Hocus Pocus, portrayedBy, Vinessa Shaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vinessa Shaw
Context triple: [Hocus Pocus, portrayedBy, Vinessa Shaw]
  • A. Vinessa Shaw chosen
    Vinessa Shaw is an American actress known for her roles in films such as "Hocus Pocus," "Eyes Wide Shut," and "The Hills Have Eyes."
  • B. Veanne Cox
    Veanne Cox is an American actress and singer known for her work in musical theatre, film, and television, often recognized for her comedic and character roles.
  • C. Tanita Strahan
    Tanita Strahan is an American visual artist and the eldest daughter of former NFL star and television personality Michael Strahan.
  • D. Sheree Renée Thomas
    Sheree Renée Thomas is an American writer, editor, and publisher best known for her influential work in Black speculative fiction and Afrofuturism.
  • E. Denisia Andrews
    Denisia Andrews is a contemporary songwriter best known for co-writing major R&B and pop hits, including Beyoncé’s song “Cuff It.”
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9bf7ebd48190ad5748a18fa9a56a completed March 8, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f8759f988190a69ca8a4682af5ba completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:02 p.m.