Triple

T7954124
Position Surface form Disambiguated ID Type / Status
Subject Bishop of Derby E184687 entity
Predicate officeHoldersInclude P537 FINISHED
Object Geoffrey Allen
Geoffrey Allen was an Anglican clergyman who served as a bishop in the Church of England, notably in the Diocese of Derby.
 E702297 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: Geoffrey Allen | Statement: [Bishop of Derby, officeHoldersInclude, Geoffrey Allen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Geoffrey Allen
Context triple: [Bishop of Derby, officeHoldersInclude, Geoffrey Allen]
  • A. Geoffrey Adams
    Geoffrey Adams is an actor known for his role in the long-running British television police drama "Dixon of Dock Green."
  • B. Geoffrey Dawson
    Geoffrey Dawson was a British newspaper editor and influential public figure who notably served as editor of The Times during the early 20th century.
  • C. Geoffrey Howard
    Geoffrey Howard is a personal name shared by several notable individuals, including figures in British politics, law, and public service.
  • D. Geoffrey Lawrence
    Geoffrey Lawrence was a British judge best known for serving as the presiding judge at the Nuremberg war crimes trials after World War II.
  • E. Geoffrey Unsworth
    Geoffrey Unsworth was a renowned British cinematographer celebrated for his visually rich work on numerous classic films of the 1960s and 1970s.
  • 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: Geoffrey Allen
Triple: [Bishop of Derby, officeHoldersInclude, Geoffrey Allen]
Generated description
Geoffrey Allen was an Anglican clergyman who served as a bishop in the Church of England, notably in the Diocese of Derby.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Geoffrey Allen
Target entity description: Geoffrey Allen was an Anglican clergyman who served as a bishop in the Church of England, notably in the Diocese of Derby.
  • A. Geoffrey Adams
    Geoffrey Adams is an actor known for his role in the long-running British television police drama "Dixon of Dock Green."
  • B. Geoffrey Dawson
    Geoffrey Dawson was a British newspaper editor and influential public figure who notably served as editor of The Times during the early 20th century.
  • C. Geoffrey Howard
    Geoffrey Howard is a personal name shared by several notable individuals, including figures in British politics, law, and public service.
  • D. Geoffrey Lawrence
    Geoffrey Lawrence was a British judge best known for serving as the presiding judge at the Nuremberg war crimes trials after World War II.
  • E. Geoffrey Unsworth
    Geoffrey Unsworth was a renowned British cinematographer celebrated for his visually rich work on numerous classic films of the 1960s and 1970s.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b5f74308190aa63a22c3d5feacc completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe05d89a08190ae5bd4092d007442 completed March 31, 2026, 2:55 p.m.
NEDg Description generation batch_69cbe43a45b48190b2bdc793f2bd3264 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc11c673d88190b2796fb6efac6b09 completed March 31, 2026, 6:26 p.m.
Created at: March 30, 2026, 5:11 p.m.