Triple

T13810967
Position Surface form Disambiguated ID Type / Status
Subject Billy Butcherson E331886 entity
Predicate helps P1853 FINISHED
Object Max Dennison E369472 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: Max Dennison | Statement: [Billy Butcherson, helps, Max Dennison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Dennison
Context triple: [Billy Butcherson, helps, Max Dennison]
  • A. Max Dennison chosen
    Max Dennison is the skeptical teenage protagonist of the Halloween-themed fantasy film "Hocus Pocus," whose actions accidentally resurrect three witches in Salem.
  • B. Jack Denison
    Jack Denison was an American nightclub owner and restaurateur best known as the second husband of actress and singer Dorothy Dandridge.
  • C. John Dolman
    John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
  • D. Ian Dunn
    Ian Dunn is a British actor known for his work in television, film, and theatre, and for being married to the late actress Emma Chambers.
  • E. Dave Dennison
    Dave Dennison is a fictional character associated with Dani Dennison in the Hocus Pocus film universe, depicted as a member of her family.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026ff6b481908066d6bf27064417 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56ade75c8190b556c3b0ba692a96 completed May 9, 2026, 3:45 p.m.
Created at: April 9, 2026, 10:12 p.m.