Triple

T20432019
Position Surface form Disambiguated ID Type / Status
Subject Scotiabank Giller Prize E501154 entity
Predicate sponsor P67 FINISHED
Object Scotiabank NE NERFINISHED

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: Scotiabank | Statement: [Scotiabank Giller Prize, sponsor, Scotiabank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scotiabank
Context triple: [Scotiabank Giller Prize, sponsor, Scotiabank]
  • A. Scotiabank chosen
    Scotiabank is one of Canada's largest multinational banks, offering a wide range of financial services across the Americas and other global markets.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. CIBC
    CIBC is one of Canada’s largest chartered banks, offering a wide range of financial services including personal, business, and investment banking.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685eaa4c8819083d1d7aee0f998a6 completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:31 a.m.