Triple

T22852642
Position Surface form Disambiguated ID Type / Status
Subject Brian Orser E566392 entity
Predicate name P16 FINISHED
Object Brian Orser 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: Brian Orser | Statement: [Brian Orser, name, Brian Orser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Orser
Context triple: [Brian Orser, name, Brian Orser]
  • A. Brian Orser chosen
    Brian Orser is a Canadian former world champion figure skater and renowned coach of multiple Olympic gold medalists.
  • B. David Paetkau
    David Paetkau is a Canadian actor best known for his roles in the television series "Flashpoint" and films such as "Final Destination 2."
  • C. Gil Friesen
    Gil Friesen was an American music and film executive best known as the longtime president of A&M Records and a producer of notable films including "The Breakfast Club" and "The Marrying Man."
  • D. Matt Bachand
    Matt Bachand is an American heavy metal guitarist and songwriter best known as a founding member of the band Shadows Fall.
  • E. Rob Kerkovich
    Rob Kerkovich is an American actor best known for his role as forensic scientist Sebastian Lund on the television series NCIS: New Orleans.
  • 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_69e2458750b481908a8e4cf4609cc6cf completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17eb9a5b8819091cbb4ac42fbf778 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:36 p.m.