Triple

T18110943
Position Surface form Disambiguated ID Type / Status
Subject Nunthorpe Stakes E433470 entity
Predicate notableWinner P2766 FINISHED
Object Borderlescott
Borderlescott is a British Thoroughbred racehorse best known as a top-class sprinter who won major Group 1 races in the late 2000s.
E1307205 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: Borderlescott | Statement: [Nunthorpe Stakes, notableWinner, Borderlescott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borderlescott
Context triple: [Nunthorpe Stakes, notableWinner, Borderlescott]
  • A. Beyond Borders
    Beyond Borders is a 2003 romantic war drama film starring Clive Owen and Angelina Jolie that follows aid workers in various global conflict zones.
  • B. Beyond Borders
    Beyond Borders is a work by British journalist and author Jamie Bartlett that explores the impact of digital technology and online culture on politics and society.
  • C. Grens
    Grens is a small municipality in the canton of Vaud in western Switzerland, situated within the Nyon District near Lake Geneva.
  • D. Borderies
    Borderies is the smallest and one of the most prized crus of the Cognac region in France, known for producing floral, smooth eaux-de-vie.
  • E. Fronteira
    Fronteira is a small Portuguese municipality in the Alentejo region, known for its rural landscape and historical heritage.
  • 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: Borderlescott
Triple: [Nunthorpe Stakes, notableWinner, Borderlescott]
Generated description
Borderlescott is a British Thoroughbred racehorse best known as a top-class sprinter who won major Group 1 races in the late 2000s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Borderlescott
Target entity description: Borderlescott is a British Thoroughbred racehorse best known as a top-class sprinter who won major Group 1 races in the late 2000s.
  • A. Beyond Borders
    Beyond Borders is a 2003 romantic war drama film starring Clive Owen and Angelina Jolie that follows aid workers in various global conflict zones.
  • B. Beyond Borders
    Beyond Borders is a work by British journalist and author Jamie Bartlett that explores the impact of digital technology and online culture on politics and society.
  • C. Grens
    Grens is a small municipality in the canton of Vaud in western Switzerland, situated within the Nyon District near Lake Geneva.
  • D. Borderies
    Borderies is the smallest and one of the most prized crus of the Cognac region in France, known for producing floral, smooth eaux-de-vie.
  • E. Fronteira
    Fronteira is a small Portuguese municipality in the Alentejo region, known for its rural landscape and historical heritage.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd2038081909515fb6d17495cbf completed April 19, 2026, 1:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a037c3930e0819083b2355a0af67b72 completed May 12, 2026, 7:15 p.m.
NEDg Description generation batch_6a037dc3a150819085368bcf620e8768 completed May 12, 2026, 7:21 p.m.
NED2 Entity disambiguation (via description) batch_6a037e99ae98819087afa088fb42e847 completed May 12, 2026, 7:25 p.m.
Created at: April 10, 2026, 10:28 a.m.