Triple

T3143803
Position Surface form Disambiguated ID Type / Status
Subject Bank of Montreal E65714 entity
Predicate hasSubsidiary P254 FINISHED
Object BMO Nesbitt Burns
BMO Nesbitt Burns is a Canadian investment dealer and wealth management firm providing brokerage, advisory, and financial planning services as part of the Bank of Montreal’s capital markets and private client operations.
E331744 NE FINISHED

How this triple was built (4 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: BMO Nesbitt Burns | Statement: [Bank of Montreal, hasSubsidiary, BMO Nesbitt Burns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMO Nesbitt Burns
Context triple: [Bank of Montreal, hasSubsidiary, BMO Nesbitt Burns]
  • A. Neilson
    Neilson is a surname of Scottish and Irish origin, traditionally meaning "son of Neil."
  • B. Baines
    Baines is the middle name of Lyndon B. Johnson, the 36th president of the United States.
  • C. Barnett
    Barnett is a masculine given name most notably associated with the influential American abstract expressionist painter Barnett Newman.
  • D. Brooks
    Brooks is a common English-language surname borne by numerous notable individuals across politics, arts, sports, and other fields.
  • E. Paton
    Paton is a surname and given name of Scottish origin, used by various notable individuals in fields such as sports, politics, and the arts.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BMO Nesbitt Burns
Triple: [Bank of Montreal, hasSubsidiary, BMO Nesbitt Burns]
Generated description
BMO Nesbitt Burns is a Canadian investment dealer and wealth management firm providing brokerage, advisory, and financial planning services as part of the Bank of Montreal’s capital markets and private client operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BMO Nesbitt Burns
Target entity description: BMO Nesbitt Burns is a Canadian investment dealer and wealth management firm providing brokerage, advisory, and financial planning services as part of the Bank of Montreal’s capital markets and private client operations.
  • A. Neilson
    Neilson is a surname of Scottish and Irish origin, traditionally meaning "son of Neil."
  • B. Baines
    Baines is the middle name of Lyndon B. Johnson, the 36th president of the United States.
  • C. Barnett
    Barnett is a masculine given name most notably associated with the influential American abstract expressionist painter Barnett Newman.
  • D. Brooks
    Brooks is a common English-language surname borne by numerous notable individuals across politics, arts, sports, and other fields.
  • E. Paton
    Paton is a surname and given name of Scottish origin, used by various notable individuals in fields such as sports, politics, and the arts.
  • F. None of above. chosen

Provenance (5 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada59489a88190b0962cef091f4ddb completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224ed4d748190a2af68bf284110e8 completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b227bc33e881908d43307d51156ec7 completed March 12, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_69b2285e7a5c8190a4e15a9f9b0f0e03 completed March 12, 2026, 2:43 a.m.
Created at: March 8, 2026, 3:05 p.m.