Triple

T11643381
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Poyntz E276715 entity
Predicate familyName P18 FINISHED
Object Poyntz
Poyntz is an English surname historically associated with several notable families and figures in Britain.
 E938729 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: Poyntz | Statement: [Elizabeth Poyntz, familyName, Poyntz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Poyntz
Context triple: [Elizabeth Poyntz, familyName, Poyntz]
  • A. Pytchley
    Pytchley is a small village and civil parish in North Northamptonshire, England, known historically for its association with the Pytchley Hunt.
  • B. Potton
    Potton is a small market town in Bedfordshire, England, known for its historic town centre and rural surroundings.
  • C. Beauchief
    Beauchief is a suburban area in the south of Sheffield, England, known for its historic abbey ruins, wooded valleys, and proximity to the River Sheaf.
  • D. Coryton
    Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
  • E. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • 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: Poyntz
Triple: [Elizabeth Poyntz, familyName, Poyntz]
Generated description
Poyntz is an English surname historically associated with several notable families and figures in Britain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Poyntz
Target entity description: Poyntz is an English surname historically associated with several notable families and figures in Britain.
  • A. Pytchley
    Pytchley is a small village and civil parish in North Northamptonshire, England, known historically for its association with the Pytchley Hunt.
  • B. Potton
    Potton is a small market town in Bedfordshire, England, known for its historic town centre and rural surroundings.
  • C. Beauchief
    Beauchief is a suburban area in the south of Sheffield, England, known for its historic abbey ruins, wooded valleys, and proximity to the River Sheaf.
  • D. Coryton
    Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
  • E. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a2cb4ca88190a9322f08416d3974 completed April 10, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87ecbcac8190bb71a248d3601f8d completed April 26, 2026, 9:47 p.m.
NEDg Description generation batch_69eeb314eef0819091a949bbfc820ee9 completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eee9a79d348190bb3e15f0d37b9d57 completed April 27, 2026, 4:44 a.m.
Created at: April 8, 2026, 9:39 p.m.