Triple

T5328418
Position Surface form Disambiguated ID Type / Status
Subject In School E123242 entity
Predicate author P4 FINISHED
Object Ken Dryden E23363 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: Ken Dryden | Statement: [In School, author, Ken Dryden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken Dryden
Context triple: [In School, author, Ken Dryden]
  • A. Ken Dryden chosen
    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.
  • B. Tony Esposito
    Tony Esposito was a Hall of Fame Canadian-American goaltender renowned as one of the NHL’s greatest netminders, best known for his stellar career with the Chicago Blackhawks in the 1970s.
  • C. Terry Sawchuk
    Terry Sawchuk was a legendary Canadian goaltender, widely regarded as one of the greatest in NHL history for his record-setting career and multiple Stanley Cup championships.
  • D. 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.
  • E. Bobby Boucher
    Bobby Boucher is the socially awkward but hard-hitting college football waterboy-turned-star linebacker portrayed by Adam Sandler in the comedy film "The Waterboy."
  • 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_69bd46477f9081909d242a327d749466 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8593bd6c8190b2054e548ddf2458 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21bba3f8819085efcb9d75fea1f9 completed March 21, 2026, 10:54 p.m.
Created at: March 20, 2026, 2 p.m.