Triple

T9379953
Position Surface form Disambiguated ID Type / Status
Subject Sir John W. Simpson E225756 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of Sir John W. Simpson, a British architect known for designing prominent public buildings in the late 19th and early 20th centuries.
E794121 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 | Statement: [Sir John W. Simpson, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [Sir John W. Simpson, givenName, John]
  • A. John
    John is the given first name of J. Edgar Hoover, the long-serving and influential first director of the United States Federal Bureau of Investigation (FBI).
  • B. John
    John is the given name of the late American comedian and actor John Belushi, famed for his work on "Saturday Night Live" and in films like "Animal House" and "The Blues Brothers."
  • C. John
    John is the given name of J. Tuzo Wilson, the influential Canadian geophysicist and plate tectonics pioneer.
  • D. John
    John is the first name of J. A. L. Waddell, a historical figure likely known for professional or scholarly contributions under his initials.
  • E. John
    John is the given name of John Edward Taylor, the 19th-century British publisher and founder of The Manchester Guardian newspaper.
  • 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
Triple: [Sir John W. Simpson, givenName, John]
Generated description
John is the given name of Sir John W. Simpson, a British architect known for designing prominent public buildings in the late 19th and early 20th centuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of Sir John W. Simpson, a British architect known for designing prominent public buildings in the late 19th and early 20th centuries.
  • A. John
    John is the given name of Sir John Fowler, a prominent 19th-century British civil engineer known for major railway and bridge projects such as the Forth Bridge.
  • B. John
    John is the given name of John Rennie the Younger, a prominent 19th-century British civil engineer known for designing notable bridges and docks.
  • C. John
    John is the given name of the English architect and dramatist John Vanbrugh, known for designing Blenheim Palace and Castle Howard.
  • D. John
    John is the given name of Sir John Soane, the renowned English neoclassical architect and collector best known for designing the Bank of England and founding Sir John Soane’s Museum in London.
  • E. John
    John is the given name of Sir John Anderson, a British civil servant and politician who played a key role in government during the early 20th century.
  • 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_69ca842d8ee88190aaaa639aa953185d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50bc94108190a1b8146a78166009 completed April 1, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3a3fb288190ac38f8df19eb1e79 completed April 4, 2026, 11:19 a.m.
NEDg Description generation batch_69d0f55656288190a989deec892cb2f9 completed April 4, 2026, 11:26 a.m.
NED2 Entity disambiguation (via description) batch_69d0f5bf64548190b40e97b279db5105 completed April 4, 2026, 11:27 a.m.
Created at: March 30, 2026, 7:44 p.m.