Triple

T3032986
Position Surface form Disambiguated ID Type / Status
Subject 1999 IIHF World Championship E82940 entity
Predicate bestGoaltender P14676 FINISHED
Object Tommy Salo E143071 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: Tommy Salo | Statement: [1999 IIHF World Championship, bestGoaltender, Tommy Salo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tommy Salo
Context triple: [1999 IIHF World Championship, bestGoaltender, Tommy Salo]
  • A. Tommy Salo chosen
    Tommy Salo is a retired Swedish ice hockey goaltender best known for his NHL career and key role on Sweden’s national team in international tournaments.
  • B. Tom Gaglardi
    Tom Gaglardi is a Canadian businessman and hotel magnate best known as the principal owner and governor of the NHL’s Dallas Stars.
  • C. Henry Haga
    Henry Haga was an influential American automotive designer best known for his work at General Motors, where he helped shape the styling of iconic performance cars in the 1960s and 1970s.
  • D. Patrik Elias
    Patrik Elias is a retired Czech professional ice hockey forward best known for his long, highly productive NHL career and franchise scoring records with the New Jersey Devils.
  • E. Brad Gilderman
    Brad Gilderman is a music producer known for his work on the track "Have You Ever?".
  • 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_69ad8b21a62881908ec5dd4fba4a187c completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9aefc2dc8190ad9b349ca45b7e30 completed March 8, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1debfa51881909e41c55774bbccf9 completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 3:01 p.m.