Triple

T2676694
Position Surface form Disambiguated ID Type / Status
Subject Ivan Sutherland E56477 entity
Predicate familyName P18 FINISHED
Object Sutherland E142857 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: Sutherland | Statement: [Ivan Sutherland, familyName, Sutherland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sutherland
Context triple: [Ivan Sutherland, familyName, Sutherland]
  • A. Sutherland
    Sutherland is a small town in the Northern Cape province of South Africa, best known for its exceptionally clear night skies and major astronomical observatories.
  • B. Sutherland chosen
    Sutherland is a Scottish surname historically associated with the Sutherland region in the Highlands and borne by various notable figures in politics, law, and the arts.
  • C. Sutton
    Sutton is a large suburban town in South London, England, known as the principal settlement of the London Borough of Sutton.
  • D. Sutton
    Sutton is a small rural village located within the district of West Oxfordshire in England.
  • E. Sutton
    Sutton is a common English surname borne by numerous notable individuals across various fields.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9b4a70481909d8b8242039c1cf2 completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa065a6f48190973a3b6c52aa23bf completed March 10, 2026, 4:39 a.m.
Created at: March 6, 2026, 9:54 p.m.