Triple

T2115697
Position Surface form Disambiguated ID Type / Status
Subject Stowe School E43803 entity
Predicate hasAlumnus P51 FINISHED
Object Piers Courage
Piers Courage was a British racing driver best known for competing in Formula One during the late 1960s and early 1970s.
 E233916 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: Piers Courage | Statement: [Stowe School, hasAlumnus, Piers Courage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Piers Courage
Context triple: [Stowe School, hasAlumnus, Piers Courage]
  • A. Simon Dunsdon
    Simon Dunsdon is a cinematographer known for his work on the animated film "Hotel Transylvania 3: Summer Vacation."
  • B. Crispin Struthers
    Crispin Struthers is a film editor best known for his Academy Award–nominated work on acclaimed movies such as "Silver Linings Playbook."
  • C. Rowland
    Rowland is the given name of R. H. Macy, the 19th-century American businessman who founded the Macy's department store chain.
  • D. Edmund Breon
    Edmund Breon was a Scottish character actor of the early 20th century, known for his supporting roles in British and American films, particularly during the silent and early sound eras.
  • E. John Bold
    John Bold is a passionate young reformer in Anthony Trollope’s novel "The Warden," whose challenges to church practices drive the story’s central conflict.
  • 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: Piers Courage
Triple: [Stowe School, hasAlumnus, Piers Courage]
Generated description
Piers Courage was a British racing driver best known for competing in Formula One during the late 1960s and early 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Piers Courage
Target entity description: Piers Courage was a British racing driver best known for competing in Formula One during the late 1960s and early 1970s.
  • A. Simon Dunsdon
    Simon Dunsdon is a cinematographer known for his work on the animated film "Hotel Transylvania 3: Summer Vacation."
  • B. Crispin Struthers
    Crispin Struthers is a film editor best known for his Academy Award–nominated work on acclaimed movies such as "Silver Linings Playbook."
  • C. Rowland
    Rowland is the given name of R. H. Macy, the 19th-century American businessman who founded the Macy's department store chain.
  • D. Edmund Breon
    Edmund Breon was a Scottish character actor of the early 20th century, known for his supporting roles in British and American films, particularly during the silent and early sound eras.
  • E. John Bold
    John Bold is a passionate young reformer in Anthony Trollope’s novel "The Warden," whose challenges to church practices drive the story’s central conflict.
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb0724e08190a0a4210d86261d6d completed March 7, 2026, 5:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3076afec819091183e328cff58c8 completed March 9, 2026, 2:29 a.m.
NEDg Description generation batch_69ae30e1c7488190acd6d29c5ad10c33 completed March 9, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_69ae316398488190b9dd38145d5488b4 completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:43 p.m.