Triple

T13316972
Position Surface form Disambiguated ID Type / Status
Subject Control Data Corporation E317210 entity
Predicate keyPerson P256 FINISHED
Object William Norris E1038191 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: William Norris | Statement: [Control Data Corporation, keyPerson, William Norris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Norris
Context triple: [Control Data Corporation, keyPerson, William Norris]
  • A. William Norris chosen
    William Norris was an American businessman and computer industry pioneer best known as the co-founder and longtime leader of Control Data Corporation, a major mainframe and supercomputer company.
  • B. John Norreys
    John Norreys was an English soldier and commander of the late 16th century, noted for his prominent role in Elizabethan military campaigns in Europe.
  • C. Arthur Norris
    Arthur Norris is the eccentric, duplicitous businessman and political intriguer at the center of Christopher Isherwood’s novel "Mr Norris Changes Trains."
  • D. 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.
  • E. William Pearson
    William Pearson was the father of influential British statistician Karl Pearson and a member of a prominent Victorian-era family.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f9a384819085890e18255ee339 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7546fbd1881909d2dda1edb63df2f completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:29 p.m.