Triple

T18245060
Position Surface form Disambiguated ID Type / Status
Subject Thoroughbred E436927 entity
Predicate governingBody P46 FINISHED
Object Weatherbys
Weatherbys is a long-established British organization that administers key regulatory, registration, and stud book services for Thoroughbred horse racing and breeding.
 E1313394 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: Weatherbys | Statement: [Thoroughbred, governingBody, Weatherbys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Weatherbys
Context triple: [Thoroughbred, governingBody, Weatherbys]
  • A. Debenhams
    Debenhams was a major British department store chain offering fashion, beauty, and home goods through high-street locations and online retail.
  • B. Hamleys
    Hamleys is a world-famous British toy store chain best known for its flagship multi-storey shop in central London.
  • C. WHSmith
    WHSmith is a major British retail chain best known for selling books, stationery, magazines, and related products in high-street and travel locations.
  • D. M&S
    M&S is the commonly used abbreviation for McClelland and Stewart, a prominent Canadian publishing company known for its influential literary catalog.
  • E. Hatchards
    Hatchards is a historic London bookshop, founded in 1797 and renowned as one of the oldest and most prestigious bookstores in the United Kingdom.
  • 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: Weatherbys
Triple: [Thoroughbred, governingBody, Weatherbys]
Generated description
Weatherbys is a long-established British organization that administers key regulatory, registration, and stud book services for Thoroughbred horse racing and breeding.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Weatherbys
Target entity description: Weatherbys is a long-established British organization that administers key regulatory, registration, and stud book services for Thoroughbred horse racing and breeding.
  • A. Debenhams
    Debenhams was a major British department store chain offering fashion, beauty, and home goods through high-street locations and online retail.
  • B. Hamleys
    Hamleys is a world-famous British toy store chain best known for its flagship multi-storey shop in central London.
  • C. WHSmith
    WHSmith is a major British retail chain best known for selling books, stationery, magazines, and related products in high-street and travel locations.
  • D. M&S
    M&S is the commonly used abbreviation for McClelland and Stewart, a prominent Canadian publishing company known for its influential literary catalog.
  • E. Hatchards
    Hatchards is a historic London bookshop, founded in 1797 and renowned as one of the oldest and most prestigious bookstores in the United Kingdom.
  • 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f7e6fbac8190bf252c4337f50c29 completed April 19, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03ac733e708190a7fde1fb61db5d5f completed May 12, 2026, 10:40 p.m.
NEDg Description generation batch_6a03ad2be6e0819081426da968a57db0 completed May 12, 2026, 10:43 p.m.
NED2 Entity disambiguation (via description) batch_6a03ad8898748190b57028bb2e2ed207 completed May 12, 2026, 10:45 p.m.
Created at: April 10, 2026, 10:33 a.m.