Triple

T20883377
Position Surface form Disambiguated ID Type / Status
Subject Frank Klopas E514207 entity
Predicate employer P7 FINISHED
Object CF Montréal 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: CF Montréal | Statement: [Frank Klopas, employer, CF Montréal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CF Montréal
Context triple: [Frank Klopas, employer, CF Montréal]
  • A. Montreal Impact chosen
    Montreal Impact is a professional soccer club based in Montreal, Quebec, that competes in Major League Soccer (now rebranded as CF Montréal).
  • B. Montreal Football Club
    Montreal Football Club was an early Canadian football team based in Montreal that competed in the Interprovincial Rugby Football Union, a precursor to the modern Canadian Football League.
  • C. Toronto FC
    Toronto FC is a professional Major League Soccer club based in Toronto, Ontario, known as Canada's first MLS franchise.
  • D. Ottawa Fury FC
    Ottawa Fury FC was a professional soccer club based in Ottawa, Ontario, that competed in various North American leagues before ceasing operations in 2019.
  • E. Montreal Olympique
    Montreal Olympique was a professional soccer club based in Montreal that competed in the North American Soccer League during the early 1970s.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c67b03088190be7cbcde8c59509a completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:46 p.m.