Triple

T6725092
Position Surface form Disambiguated ID Type / Status
Subject Mike Richter E153496 entity
Predicate name P16 FINISHED
Object Mike Richter E153496 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: Mike Richter | Statement: [Mike Richter, name, Mike Richter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Richter
Context triple: [Mike Richter, name, Mike Richter]
  • A. Mike Richter chosen
    Mike Richter is a former American NHL goaltender best known for backstopping the New York Rangers to the 1994 Stanley Cup and starring for Team USA in international play.
  • B. Ken Dryden
    Ken Dryden is a legendary Canadian goaltender who backstopped the Montreal Canadiens to multiple Stanley Cup championships in the 1970s before becoming an author, lawyer, and politician.
  • C. Ron Hextall
    Ron Hextall is a former NHL goaltender known for his aggressive style, puck-handling skills, and tenure with the Philadelphia Flyers.
  • D. Charlie Gogolak
    Charlie Gogolak is a television producer best known for his executive production work on acclaimed series such as "This Is Us."
  • E. Ed Belfour
    Ed Belfour is a Hall of Fame Canadian goaltender renowned for his stellar NHL career, highlighted by winning the Stanley Cup with the Dallas Stars and earning multiple Vezina and Jennings Trophies.
  • 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_69c6880afb988190ad88011b48ecfcba completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d14fb1a8819083287ca8bb576bba completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700a34e248190ba9d73437b19a96d completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:08 p.m.