Triple

T4814772
Position Surface form Disambiguated ID Type / Status
Subject Henry Savile E107160 entity
Predicate familyName P18 FINISHED
Object Savile
Savile is an English surname historically associated with several notable figures in British political, academic, and social life.
 E472404 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: Savile | Statement: [Henry Savile, familyName, Savile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Savile
Context triple: [Henry Savile, familyName, Savile]
  • A. Cheveley
    Cheveley is a small rural village and civil parish in eastern England, known for its historic church and proximity to the horse-racing town of Newmarket.
  • B. Acton Turville
    Acton Turville is a small rural village and civil parish in South Gloucestershire, England, near the border with Wiltshire.
  • C. Orton Longueville
    Orton Longueville is a suburban residential area and former village within the city of Peterborough in Cambridgeshire, England.
  • D. Grosmont
    Grosmont is a small village in North Yorkshire, England, known for its heritage railway station on the North Yorkshire Moors Railway and its scenic moorland surroundings.
  • E. Hylton
    Hylton is the defendant in the landmark 1796 U.S. Supreme Court case Ware v. Hylton, which addressed the supremacy of federal treaties over conflicting state laws.
  • 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: Savile
Triple: [Henry Savile, familyName, Savile]
Generated description
Savile is an English surname historically associated with several notable figures in British political, academic, and social life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Savile
Target entity description: Savile is an English surname historically associated with several notable figures in British political, academic, and social life.
  • A. Cheveley
    Cheveley is a small rural village and civil parish in eastern England, known for its historic church and proximity to the horse-racing town of Newmarket.
  • B. Acton Turville
    Acton Turville is a small rural village and civil parish in South Gloucestershire, England, near the border with Wiltshire.
  • C. Orton Longueville
    Orton Longueville is a suburban residential area and former village within the city of Peterborough in Cambridgeshire, England.
  • D. Grosmont
    Grosmont is a small village in North Yorkshire, England, known for its heritage railway station on the North Yorkshire Moors Railway and its scenic moorland surroundings.
  • E. Hylton
    Hylton is the defendant in the landmark 1796 U.S. Supreme Court case Ware v. Hylton, which addressed the supremacy of federal treaties over conflicting state laws.
  • 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_69bd43f779448190b92885cb70abb6c2 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c8230888190a676695e51cb3ea4 completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4db5652081909af5ef92df72c221 completed March 21, 2026, 7:50 a.m.
NEDg Description generation batch_69be4e4d3d608190837c5808f2f17aa4 completed March 21, 2026, 7:52 a.m.
NED2 Entity disambiguation (via description) batch_69be4f107e7c8190aec4a7bcf0520ec9 completed March 21, 2026, 7:56 a.m.
Created at: March 20, 2026, 1:23 p.m.