Triple

T4240150
Position Surface form Disambiguated ID Type / Status
Subject Tom Gaglardi E95391 entity
Predicate name P16 FINISHED
Object Tom Gaglardi E95391 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: Tom Gaglardi | Statement: [Tom Gaglardi, name, Tom Gaglardi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Gaglardi
Context triple: [Tom Gaglardi, name, Tom Gaglardi]
  • A. Tom Gaglardi chosen
    Tom Gaglardi is a Canadian businessman and hotel magnate best known as the principal owner and governor of the NHL’s Dallas Stars.
  • B. Michael Sutter
    Michael Sutter is a professional ice hockey player known for his career in European leagues, particularly in Switzerland.
  • C. Mike Gartner
    Mike Gartner is a Canadian Hall of Fame right winger renowned as one of the NHL’s most prolific goal scorers, surpassing 700 career goals over a 19-season career.
  • D. David Adelman
    David Adelman is an American professional basketball coach, known for his assistant coaching roles in the NBA and as the son of longtime NBA head coach Rick Adelman.
  • E. Ken Anderson
    Ken Anderson was an American animator, art director, and story artist best known for his influential work on numerous classic Walt Disney films.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e77fb5c8190b298818acb68ff63 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a86fe7708190a64ba187fb302c9a completed March 14, 2026, 6:26 p.m.
Created at: March 12, 2026, 11:05 p.m.