Triple

T10121835
Position Surface form Disambiguated ID Type / Status
Subject Stephen Risley E223309 entity
Predicate hasFamilyName P18 FINISHED
Object Risley
Risley is an English-language surname of likely British origin borne by various individuals and families.
 E842578 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: Risley | Statement: [Stephen Risley, hasFamilyName, Risley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Risley
Context triple: [Stephen Risley, hasFamilyName, Risley]
  • A. Risley
    Risley is a village in Derbyshire, England, known for its historic buildings and rural character near the town of Sandiacre.
  • B. Risley
    Risley is a village in Cheshire, England, situated near Culcheth and known for its mix of residential areas and nearby business and science parks.
  • C. Tuthill
    Tuthill is a surname most notably associated with William Burnet Tuthill, the American architect who designed Carnegie Hall in New York City.
  • D. Southworth
    Southworth is a surname most notably associated with Lucinda Southworth, an American researcher and the wife of Google co-founder Larry Page.
  • E. Gooderich
    Gooderich is an alternative spelling of the surname Goodrich, which is associated with various people, places, and companies of English origin.
  • 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: Risley
Triple: [Stephen Risley, hasFamilyName, Risley]
Generated description
Risley is an English-language surname of likely British origin borne by various individuals and families.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Risley
Target entity description: Risley is an English-language surname of likely British origin borne by various individuals and families.
  • A. Risley
    Risley is a village in Derbyshire, England, known for its historic buildings and rural character near the town of Sandiacre.
  • B. Risley
    Risley is a village in Cheshire, England, situated near Culcheth and known for its mix of residential areas and nearby business and science parks.
  • C. Tuthill
    Tuthill is a surname most notably associated with William Burnet Tuthill, the American architect who designed Carnegie Hall in New York City.
  • D. Southworth
    Southworth is a surname most notably associated with Lucinda Southworth, an American researcher and the wife of Google co-founder Larry Page.
  • E. Gooderich
    Gooderich is an alternative spelling of the surname Goodrich, which is associated with various people, places, and companies of English origin.
  • 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_69ca8422047c81909d66b717b8b18cf3 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd26846b8819098594bf211920eb2 completed April 2, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc493db88190b3b09a77b82b3cc9 completed April 5, 2026, 8:55 p.m.
NEDg Description generation batch_69d2cd901c148190afb27759cc176f89 completed April 5, 2026, 9:01 p.m.
NED2 Entity disambiguation (via description) batch_69d2ce6da82081908ca6b3621971ca9a completed April 5, 2026, 9:04 p.m.
Created at: March 30, 2026, 9:04 p.m.