Triple

T4039721
Position Surface form Disambiguated ID Type / Status
Subject Lord George Sackville E83916 entity
Predicate familyName P18 FINISHED
Object Sackville
Sackville is an English aristocratic family name historically associated with prominent political and military figures in Britain.
 E408813 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: Sackville | Statement: [Lord George Sackville, familyName, Sackville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sackville
Context triple: [Lord George Sackville, familyName, Sackville]
  • A. Wereham
    Wereham is a small rural village in Norfolk, England, known for its historic church and traditional village green.
  • B. Blundeston
    Blundeston is a small village and civil parish in Suffolk, England, known for its rural character and historical association with Charles Dickens’ novel "David Copperfield."
  • C. Hempton
    Hempton is a small village in Norfolk, England, situated close to the market town of Fakenham.
  • D. Framlingham
    Framlingham is a historic market town in Suffolk, England, best known for its well-preserved medieval castle.
  • E. Wickford
    Wickford is a town in the county of Essex in the East of England, known as a commuter settlement with local shopping areas and access to London.
  • 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: Sackville
Triple: [Lord George Sackville, familyName, Sackville]
Generated description
Sackville is an English aristocratic family name historically associated with prominent political and military figures in Britain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sackville
Target entity description: Sackville is an English aristocratic family name historically associated with prominent political and military figures in Britain.
  • A. Wereham
    Wereham is a small rural village in Norfolk, England, known for its historic church and traditional village green.
  • B. Blundeston
    Blundeston is a small village and civil parish in Suffolk, England, known for its rural character and historical association with Charles Dickens’ novel "David Copperfield."
  • C. Hempton
    Hempton is a small village in Norfolk, England, situated close to the market town of Fakenham.
  • D. Framlingham
    Framlingham is a historic market town in Suffolk, England, best known for its well-preserved medieval castle.
  • E. Wickford
    Wickford is a town in the county of Essex in the East of England, known as a commuter settlement with local shopping areas and access to London.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb37e24c81908d6357ab8ba5388d completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55649b75c819086b272f56ac73be4 completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b55a1974348190b6c8ca74fb9da47e completed March 14, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69b55a828d7881908e3e9a14bc77103c completed March 14, 2026, 12:54 p.m.
Created at: March 9, 2026, 3:37 p.m.