Triple

T14126725
Position Surface form Disambiguated ID Type / Status
Subject Jim Hughson E340052 entity
Predicate employer P7 FINISHED
Object Sportsnet E54584 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: Sportsnet | Statement: [Jim Hughson, employer, Sportsnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sportsnet
Context triple: [Jim Hughson, employer, Sportsnet]
  • A. Sportsnet chosen
    Sportsnet is a Canadian sports television network owned by Rogers Sports & Media that broadcasts a wide range of live sports, including Major League Baseball, NHL hockey, and other national and regional events.
  • B. Sportsnet Now
    Sportsnet Now is a Canadian sports streaming service that offers live and on-demand coverage of major leagues and events, including NHL, MLB, NBA, and more.
  • C. Sportsnet One
    Sportsnet One is a Canadian national sports television channel that broadcasts live games and sports programming, particularly focusing on baseball, hockey, and other major leagues.
  • D. Sportsnet World
    Sportsnet World is a Canadian specialty television channel focused on international soccer, rugby, and other global sports programming.
  • E. Sportsnet 590 The FAN
    Sportsnet 590 The FAN is a Toronto-based all-sports radio station known for its comprehensive coverage of local teams and major sporting events.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6098013c8190b1bac9d3fff60acd completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0c833081908458e4eaee689df7 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.