Triple

T7951892
Position Surface form Disambiguated ID Type / Status
Subject John Egerton, 2nd Duke of Bridgewater E184633 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John Egerton, 2nd Duke of Bridgewater, an 18th-century English nobleman known for pioneering canal construction during the Industrial Revolution.
E705079 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: [John Egerton, 2nd Duke of Bridgewater, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Egerton, 2nd Duke of Bridgewater, 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 the influential American jazz saxophonist and composer John Coltrane.
  • D. John
    John is the given name of John Stevens Henslow, the 19th-century English clergyman, botanist, and mentor to Charles Darwin.
  • E. John
    John is the birth name of American character actor Jack Warden, known for his prolific film and television career in the mid-20th century.
  • 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: [John Egerton, 2nd Duke of Bridgewater, givenName, John]
Generated description
John is the given name of John Egerton, 2nd Duke of Bridgewater, an 18th-century English nobleman known for pioneering canal construction during the Industrial Revolution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John Egerton, 2nd Duke of Bridgewater, an 18th-century English nobleman known for pioneering canal construction during the Industrial Revolution.
  • A. 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.
  • B. John
    John is the given name of John Campbell, 5th Duke of Argyll, a prominent 18th-century Scottish nobleman and military leader.
  • C. John
    John is the given name of John Murray, 3rd Duke of Atholl, an 18th-century Scottish nobleman and peer.
  • D. John
    John is the given name of John Russell, 6th Duke of Bedford, a prominent British aristocrat and politician of the late 18th and early 19th centuries.
  • E. 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.
  • 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_69cb3b5c95908190b6ee900d2b324574 completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdef32d4c8190a2e5c76d2db6c45f completed March 31, 2026, 2:49 p.m.
NEDg Description generation batch_69cc46bfad4081908de1667b8a10ed0a completed March 31, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc47e7167881908dce54e8b4615900 completed March 31, 2026, 10:17 p.m.
Created at: March 30, 2026, 5:10 p.m.