Triple

T10595797
Position Surface form Disambiguated ID Type / Status
Subject Christopher Wheeldon E250109 entity
Predicate familyName P18 FINISHED
Object Wheeldon
Wheeldon is the surname of Christopher Wheeldon, a prominent British choreographer and former ballet dancer known for his innovative works with major ballet companies worldwide.
E874395 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: Wheeldon | Statement: [Christopher Wheeldon, familyName, Wheeldon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wheeldon
Context triple: [Christopher Wheeldon, familyName, Wheeldon]
  • A. Wolthusen
    Wolthusen is a district of the seaport city of Emden in Lower Saxony, Germany, known for its residential character and proximity to the Ems estuary.
  • B. Ewart
    Ewart is a given name notably borne by the 19th-century British statesman William Ewart Gladstone.
  • C. Jowitt
    Jowitt is an English surname most notably associated with William Jowitt, 1st Earl Jowitt, a prominent British lawyer and Labour politician who served as Lord Chancellor.
  • D. Hargreaves
    Hargreaves is an English surname most notably associated with James Hargreaves, the 18th-century inventor of the spinning jenny.
  • E. Rowe
    Rowe is a surname of English origin borne by various notable individuals across fields such as entertainment, sports, and public life.
  • 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: Wheeldon
Triple: [Christopher Wheeldon, familyName, Wheeldon]
Generated description
Wheeldon is the surname of Christopher Wheeldon, a prominent British choreographer and former ballet dancer known for his innovative works with major ballet companies worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wheeldon
Target entity description: Wheeldon is the surname of Christopher Wheeldon, a prominent British choreographer and former ballet dancer known for his innovative works with major ballet companies worldwide.
  • A. Wolthusen
    Wolthusen is a district of the seaport city of Emden in Lower Saxony, Germany, known for its residential character and proximity to the Ems estuary.
  • B. Ewart
    Ewart is a given name notably borne by the 19th-century British statesman William Ewart Gladstone.
  • C. Jowitt
    Jowitt is an English surname most notably associated with William Jowitt, 1st Earl Jowitt, a prominent British lawyer and Labour politician who served as Lord Chancellor.
  • D. Hargreaves
    Hargreaves is an English surname most notably associated with James Hargreaves, the 18th-century inventor of the spinning jenny.
  • E. Rowe
    Rowe is a surname of English origin borne by various notable individuals across fields such as entertainment, sports, and public life.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5278cbf9081909ef419b0144d5019 completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e955d908190a5b26faf2558d78c completed April 10, 2026, 8:33 p.m.
NEDg Description generation batch_69d96145d1ec8190b3228733159e1364 completed April 10, 2026, 8:44 p.m.
NED2 Entity disambiguation (via description) batch_69d9623cf54081908abcdc88e13d5176 completed April 10, 2026, 8:49 p.m.
Created at: April 6, 2026, 12:41 p.m.