Triple

T18110889
Position Surface form Disambiguated ID Type / Status
Subject July Cup E433469 entity
Predicate notableWinner P2766 FINISHED
Object Moorestyle
Moorestyle was a top-class British Thoroughbred racehorse best known as a champion sprinter in the early 1980s.
E1307194 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: Moorestyle | Statement: [July Cup, notableWinner, Moorestyle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moorestyle
Context triple: [July Cup, notableWinner, Moorestyle]
  • A. Moores
    Moores is an English-language surname borne by various notable individuals across fields such as business, sports, and public service.
  • B. Moore
    Moore is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
  • C. Moore
    Moore is a small village and civil parish in the Borough of Halton in Cheshire, England.
  • D. Moore
    Moore is a given name that served as the middle name of Fred M. Vinson, the 13th Chief Justice of the United States.
  • E. Moore
    Moore is a suburban city in central Oklahoma, located just south of Oklahoma City and known for its history of devastating tornadoes.
  • 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: Moorestyle
Triple: [July Cup, notableWinner, Moorestyle]
Generated description
Moorestyle was a top-class British Thoroughbred racehorse best known as a champion sprinter in the early 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Moorestyle
Target entity description: Moorestyle was a top-class British Thoroughbred racehorse best known as a champion sprinter in the early 1980s.
  • A. Moores
    Moores is an English-language surname borne by various notable individuals across fields such as business, sports, and public service.
  • B. Moore
    Moore is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
  • C. Moore
    Moore is a small village and civil parish in the Borough of Halton in Cheshire, England.
  • D. Moore
    Moore is a given name that served as the middle name of Fred M. Vinson, the 13th Chief Justice of the United States.
  • E. Moore
    Moore is a suburban city in central Oklahoma, located just south of Oklahoma City and known for its history of devastating tornadoes.
  • 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.