Triple

T10357048
Position Surface form Disambiguated ID Type / Status
Subject Mr Norris Changes Trains E244022 entity
Predicate character P662 FINISHED
Object Arthur Norris E860543 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: Arthur Norris | Statement: [Mr Norris Changes Trains, character, Arthur Norris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur Norris
Context triple: [Mr Norris Changes Trains, character, Arthur Norris]
  • A. Arthur Norris chosen
    Arthur Norris is the eccentric, duplicitous businessman and political intriguer at the center of Christopher Isherwood’s novel "Mr Norris Changes Trains."
  • B. Ken Norris
    Ken Norris was a pioneering marine mammalogist and educator best known for his influential work in dolphin research and marine park development.
  • C. Ken Norris
    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.
  • D. 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.
  • E. Edward Norris
    Edward Norris was an American film and television actor active primarily in the 1930s and 1940s, known for his supporting roles in Hollywood dramas and crime 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e954a0b8819083e4bd1fa47dc6f5 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb827cd4819094bead4304795c33 completed April 9, 2026, 7:18 p.m.
Created at: April 6, 2026, 11:58 a.m.