Triple

T13814862
Position Surface form Disambiguated ID Type / Status
Subject Murdoch Mysteries E331986 entity
Predicate protagonistEmployer P7 FINISHED
Object Toronto police E572881 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: Toronto police | Statement: [Murdoch Mysteries, protagonistEmployer, Toronto police]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto police
Context triple: [Murdoch Mysteries, protagonistEmployer, Toronto police]
  • A. Toronto Police Service chosen
    The Toronto Police Service is the primary law enforcement agency responsible for policing the city of Toronto, Ontario, Canada.
  • B. Montreal police
    The Montreal police is the municipal law enforcement agency responsible for maintaining public order and safety in the city of Montreal, Quebec, Canada.
  • C. York Regional Police
    York Regional Police is the municipal law enforcement agency responsible for policing communities across the Regional Municipality of York in Ontario, Canada.
  • D. Nishnawbe Aski Police Service
    The Nishnawbe Aski Police Service is an Indigenous-led policing organization that provides community-based law enforcement and public safety services to First Nations communities in northern Ontario, Canada.
  • E. Toronto Fire Services
    Toronto Fire Services is the municipal fire and emergency response department serving the city of Toronto, Ontario, Canada.
  • 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_69de02806e148190996f58934e66d7d8 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e0112481909deb31f8614f8b93 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.