Triple

T22660879
Position Surface form Disambiguated ID Type / Status
Subject Bluebird CN7 E559657 entity
Predicate designer P184 FINISHED
Object Ken Norris NE NERFINISHED

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 Norris | Statement: [Bluebird CN7, designer, Ken Norris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken Norris
Context triple: [Bluebird CN7, designer, Ken Norris]
  • A. Ken Norris
    Ken Norris was a pioneering marine mammalogist and educator best known for his influential work in dolphin research and marine park development.
  • B. Ken Norris chosen
    Ken Norris was a British engineer best known for designing record-breaking high-speed hydroplanes and land-speed vehicles, including Donald Campbell’s Bluebird K7.
  • C. Stan Norris
    Stan Norris is the protagonist of Stephen King's short story "The Ledge," a tense thriller about a man forced to risk his life by traversing a narrow ledge high above the ground.
  • D. Arthur Norris
    Arthur Norris is the eccentric, duplicitous businessman and political intriguer at the center of Christopher Isherwood’s novel "Mr Norris Changes Trains."
  • E. Pat Burns
    Pat Burns was a highly respected Canadian NHL head coach known for his defensive systems and three Jack Adams Awards with different teams, including the Toronto Maple Leafs, Montreal Canadiens, and Boston Bruins.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765edf88819086c28525e3c73758 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:07 p.m.