Triple

T11818079
Position Surface form Disambiguated ID Type / Status
Subject Randy Ambrosie E281053 entity
Predicate employer P7 FINISHED
Object CIBC Wood Gundy E598657 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: CIBC Wood Gundy | Statement: [Randy Ambrosie, employer, CIBC Wood Gundy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CIBC Wood Gundy
Context triple: [Randy Ambrosie, employer, CIBC Wood Gundy]
  • A. Toronto-Dominion Bank
    Toronto-Dominion Bank is a major Canadian multinational banking and financial services institution headquartered in Toronto and one of the largest banks in North America.
  • B. CIBC chosen
    CIBC is one of Canada’s largest chartered banks, offering a wide range of financial services including personal, business, and investment banking.
  • C. Canadian Bank of Commerce
    Canadian Bank of Commerce was a major Canadian financial institution that later became part of the Canadian Imperial Bank of Commerce (CIBC) through merger.
  • D. Bank of Montreal
    Bank of Montreal is one of Canada’s largest and oldest banks, providing a wide range of financial services to individuals, businesses, and institutions domestically and internationally.
  • E. Scotiabank
    Scotiabank is one of Canada's largest multinational banks, offering a wide range of financial services across the Americas and other global markets.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5e760988190b50d13bba5ef5b43 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f131cbf9708190ba8394fb3508b975 completed April 28, 2026, 10:16 p.m.
Created at: April 8, 2026, 9:42 p.m.