Triple

T1228140
Position Surface form Disambiguated ID Type / Status
Subject George Sutherland E26373 entity
Predicate familyName P18 FINISHED
Object Sutherland
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.
 E142857 NE FINISHED

How this triple was built (4 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: [George Sutherland, familyName, Sutherland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sutherland
Context triple: [George 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. Sutton
    Sutton is a large suburban town in South London, England, known as the principal settlement of the London Borough of Sutton.
  • C. Sutton
    Sutton is a common English surname borne by numerous notable individuals across various fields.
  • D. Sutton
    Sutton is a small rural village located within the district of West Oxfordshire in England.
  • E. Heywood
    Heywood is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sutherland
Triple: [George Sutherland, familyName, Sutherland]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sutherland
Target entity description: 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.
  • 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. Sutton
    Sutton is a common English surname borne by numerous notable individuals across various fields.
  • 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. Heywood
    Heywood is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage.
  • F. None of above. chosen

Provenance (5 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be3c5d4c819087f9e9e37204c3be completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f7391408190928cab62e34aa361 completed March 7, 2026, 8:49 p.m.
NEDg Description generation batch_69ac9013d0e881908064dbce78f22f6e completed March 7, 2026, 8:52 p.m.
NED2 Entity disambiguation (via description) batch_69ac911b6ab8819088773c2ca4e9fade completed March 7, 2026, 8:56 p.m.
Created at: March 1, 2026, 7:47 p.m.