Triple

T13852940
Position Surface form Disambiguated ID Type / Status
Subject John Richardson E332988 entity
Predicate employer P7 FINISHED
Object Bank of Montreal E65714 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: Bank of Montreal | Statement: [John Richardson, employer, Bank of Montreal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bank of Montreal
Context triple: [John Richardson, employer, Bank of Montreal]
  • A. Bank of Montreal chosen
    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.
  • B. 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.
  • C. CIBC
    CIBC is one of Canada’s largest chartered banks, offering a wide range of financial services including personal, business, and investment banking.
  • D. Scotiabank
    Scotiabank is one of Canada's largest multinational banks, offering a wide range of financial services across the Americas and other global markets.
  • E. Royal Bank of Canada
    Royal Bank of Canada is one of Canada’s largest and oldest financial institutions, offering a wide range of banking and financial services domestically and internationally.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02da9460819093a3ec5a3c62ea81 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcdeefd61c81908d189237af45467a completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:14 p.m.