Triple

T13403530
Position Surface form Disambiguated ID Type / Status
Subject Kevin Cheveldayoff E319893 entity
Predicate formerTeam P1168 FINISHED
Object Chicago Blackhawks organization E5497 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: Chicago Blackhawks organization | Statement: [Kevin Cheveldayoff, formerTeam, Chicago Blackhawks organization]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago Blackhawks organization
Context triple: [Kevin Cheveldayoff, formerTeam, Chicago Blackhawks organization]
  • A. Chicago Blackhawks chosen
    The Chicago Blackhawks are a professional ice hockey team in the National Hockey League (NHL) and one of the league’s Original Six franchises.
  • B. Blackhawks
    The Blackhawks are the athletic teams representing Springs Valley High School in Indiana.
  • C. Chicago Bruins
    The Chicago Bruins were a professional basketball team that competed in the American Basketball League during the 1930s.
  • D. Chicago Staleys
    The Chicago Staleys were an early National Football League franchise that later became the Chicago Bears, one of the league’s most storied and enduring teams.
  • E. Waterloo Black Hawks
    The Waterloo Black Hawks are a junior ice hockey team that competes in the United States Hockey League and is based in Waterloo, Iowa.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae4ae47081909b68a9aaa62fd4c7 completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7307904608190ad647f741c08dc42 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:34 p.m.