Triple

T6108602
Position Surface form Disambiguated ID Type / Status
Subject Samuel Purchas E136175 entity
Predicate familyName P18 FINISHED
Object Purchas
Purchas is an English surname most notably associated with Samuel Purchas, a 17th-century cleric and compiler of travel narratives.
 E569332 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: Purchas | Statement: [Samuel Purchas, familyName, Purchas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Purchas
Context triple: [Samuel Purchas, familyName, Purchas]
  • A. Colsterworth
    Colsterworth is a village in Lincolnshire, England, best known for its proximity to Woolsthorpe Manor, the birthplace of Sir Isaac Newton.
  • B. Wallisellen
    Wallisellen is a municipality in the canton of Zürich, Switzerland, known as a residential and commercial suburb on the outskirts of the city of Zürich.
  • C. Pembroke
    Pembroke is a historic town in southwest Wales best known as the birthplace of King Henry VII of England and for its prominent medieval castle.
  • D. Pembroke
    Pembroke is a suburban town in southeastern Massachusetts known for its residential character, ponds, and historic New England charm.
  • E. Pembroke
    Pembroke is a small Canadian city in eastern Ontario known for its location along the Ottawa River and its role as a regional service and cultural center.
  • 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: Purchas
Triple: [Samuel Purchas, familyName, Purchas]
Generated description
Purchas is an English surname most notably associated with Samuel Purchas, a 17th-century cleric and compiler of travel narratives.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Purchas
Target entity description: Purchas is an English surname most notably associated with Samuel Purchas, a 17th-century cleric and compiler of travel narratives.
  • A. Colsterworth
    Colsterworth is a village in Lincolnshire, England, best known for its proximity to Woolsthorpe Manor, the birthplace of Sir Isaac Newton.
  • B. Wallisellen
    Wallisellen is a municipality in the canton of Zürich, Switzerland, known as a residential and commercial suburb on the outskirts of the city of Zürich.
  • C. Pembroke
    Pembroke is a historic town in southwest Wales best known as the birthplace of King Henry VII of England and for its prominent medieval castle.
  • D. Pembroke
    Pembroke is a suburban town in southeastern Massachusetts known for its residential character, ponds, and historic New England charm.
  • E. Pembroke
    Pembroke is a small Canadian city in eastern Ontario known for its location along the Ottawa River and its role as a regional service and cultural center.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b835ed48190971c3ba397ca329f completed March 22, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1255f03e08190b62cd8ca2c079afb completed March 23, 2026, 11:34 a.m.
NEDg Description generation batch_69c1268cbac48190aae1682b1620ea41 completed March 23, 2026, 11:39 a.m.
NED2 Entity disambiguation (via description) batch_69c1274251c4819090de776c702e4ac8 completed March 23, 2026, 11:42 a.m.
Created at: March 22, 2026, 4:13 p.m.