Triple

T8323957
Position Surface form Disambiguated ID Type / Status
Subject Warrington Academy E194901 entity
Predicate hadTeacher P52943 FINISHED
Object John Seddon
John Seddon was an 18th-century English dissenting minister and educator associated with nonconformist religious and academic life.
E751577 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: John Seddon | Statement: [Warrington Academy, hadTeacher, John Seddon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Seddon
Context triple: [Warrington Academy, hadTeacher, John Seddon]
  • A. John Gillies
    John Gillies is a name shared by several notable individuals, including historians, politicians, and public figures from English-speaking countries.
  • B. John Dolman
    John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
  • C. David Semple
    David Semple was a British bacteriologist best known for developing an early anti-rabies vaccine while serving in the Indian Medical Service.
  • D. Hugh Millard
    Hugh Millard is a British diplomat who has served as Commissioner of the British Antarctic Territory.
  • E. John Tait
    John Tait is known primarily as the husband of Katharine Tait, the daughter of philosopher Bertrand Russell.
  • 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: John Seddon
Triple: [Warrington Academy, hadTeacher, John Seddon]
Generated description
John Seddon was an 18th-century English dissenting minister and educator associated with nonconformist religious and academic life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Seddon
Target entity description: John Seddon was an 18th-century English dissenting minister and educator associated with nonconformist religious and academic life.
  • A. John Gillies
    John Gillies is a name shared by several notable individuals, including historians, politicians, and public figures from English-speaking countries.
  • B. John Dolman
    John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
  • C. David Semple
    David Semple was a British bacteriologist best known for developing an early anti-rabies vaccine while serving in the Indian Medical Service.
  • D. Hugh Millard
    Hugh Millard is a British diplomat who has served as Commissioner of the British Antarctic Territory.
  • E. John Tait
    John Tait is known primarily as the husband of Katharine Tait, the daughter of philosopher Bertrand Russell.
  • 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_69ca82e7a8a88190a32bb5cc0feb012d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cbd120a1ec8190a8dc101fa1371780 completed March 31, 2026, 1:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef2d359208190bdeb494e090920ea completed April 2, 2026, 10:50 p.m.
NEDg Description generation batch_69cef4cbc0788190bf95aa8058a8d895 completed April 2, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_69cef830e4e48190bf337a526cc82119 completed April 2, 2026, 11:13 p.m.
Created at: March 30, 2026, 5:56 p.m.