Triple

T9550112
Position Surface form Disambiguated ID Type / Status
Subject Edward Welby Pugin E230400 entity
Predicate middleName P143 FINISHED
Object Welby
Welby is the middle name of Edward Welby Pugin, a prominent 19th-century English architect known for his Gothic Revival church designs.
 E805135 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: Welby | Statement: [Edward Welby Pugin, middleName, Welby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Welby
Context triple: [Edward Welby Pugin, middleName, Welby]
  • A. Stephen Church
    Stephen Church is an entrepreneur best known as the founder of the company or organization named Church’s.
  • B. William Crosby Dawson
    William Crosby Dawson was a 19th-century American politician and lawyer from Georgia who served in the U.S. Congress and the U.S. Senate.
  • C. Gilbert Sheldon
    Gilbert Sheldon was a 17th-century English Archbishop of Canterbury and influential churchman who played a key role in restoring and shaping the Church of England after the English Civil War.
  • D. Wesley
    Wesley is a masculine given name of English origin, traditionally used in English-speaking countries.
  • E. Reverend Rupert Bingham
    Reverend Rupert Bingham is a fictional clergyman character appearing in P. G. Wodehouse’s comic novel "Service with a Smile."
  • 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: Welby
Triple: [Edward Welby Pugin, middleName, Welby]
Generated description
Welby is the middle name of Edward Welby Pugin, a prominent 19th-century English architect known for his Gothic Revival church designs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Welby
Target entity description: Welby is the middle name of Edward Welby Pugin, a prominent 19th-century English architect known for his Gothic Revival church designs.
  • A. Stephen Church
    Stephen Church is an entrepreneur best known as the founder of the company or organization named Church’s.
  • B. William Crosby Dawson
    William Crosby Dawson was a 19th-century American politician and lawyer from Georgia who served in the U.S. Congress and the U.S. Senate.
  • C. Gilbert Sheldon
    Gilbert Sheldon was a 17th-century English Archbishop of Canterbury and influential churchman who played a key role in restoring and shaping the Church of England after the English Civil War.
  • D. Wesley
    Wesley is a masculine given name of English origin, traditionally used in English-speaking countries.
  • E. Reverend Rupert Bingham
    Reverend Rupert Bingham is a fictional clergyman character appearing in P. G. Wodehouse’s comic novel "Service with a Smile."
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9906bc90819086f105c453e63c83 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c82c98c8190a4fd6fc3ceb4173d completed April 4, 2026, 5:38 p.m.
NEDg Description generation batch_69d14d23573c8190aeebf2fdac20a332 completed April 4, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_69d14da4514481908a530b5d77ad832a completed April 4, 2026, 5:43 p.m.
Created at: March 30, 2026, 8:02 p.m.