Triple

T7110047
Position Surface form Disambiguated ID Type / Status
Subject John Gardner Wilkinson E165684 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John Gardner Wilkinson, a pioneering 19th-century English Egyptologist known for his extensive studies of ancient Egypt.
E642160 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 Gardner Wilkinson, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Gardner Wilkinson, givenName, John]
  • A. John
    John is the given name of John Paul Stevens, a long-serving associate justice of the United States Supreme Court.
  • B. John
    John J. Raskob was an American businessman and financier best known for his executive role at General Motors and for financing and promoting the construction of the Empire State Building.
  • C. John
    John is the given name of John A. Roebling II, an American civil engineer and philanthropist from the prominent Roebling family associated with major bridge construction.
  • D. John
    John is the given name of Sir John Borlase Warren, a prominent British naval officer and politician of the late 18th and early 19th centuries.
  • E. John
    John is the given name of John Francis Dodge, an American automobile pioneer and co-founder of the Dodge Brothers Company.
  • 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 Gardner Wilkinson, givenName, John]
Generated description
John is the given name of John Gardner Wilkinson, a pioneering 19th-century English Egyptologist known for his extensive studies of ancient Egypt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John Gardner Wilkinson, a pioneering 19th-century English Egyptologist known for his extensive studies of ancient Egypt.
  • A. John
    John is the given name of John Ruskin, the influential 19th-century English art critic, social thinker, and writer.
  • 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 John Lloyd Stephens, the 19th-century American explorer, writer, and diplomat renowned for his pioneering documentation of Maya civilization.
  • D. John
    John is the given name of Edward John Eyre, a 19th-century British explorer and colonial administrator known for his expeditions in Australia and controversial governorship in Jamaica.
  • E. John
    John is the given name of John Dee, the 16th-century English mathematician, astronomer, and advisor to Queen Elizabeth I known for his work in alchemy and the occult.
  • 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_69c6888120f081908f8f01b201dc4a4c completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5be09d881909988b5382ffa20ed completed March 27, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c8a1d788190b9ad25d6e6c460f7 completed March 28, 2026, 9:16 a.m.
NEDg Description generation batch_69c79d7f00ac8190aa288fe93a3e577a completed March 28, 2026, 9:21 a.m.
NED2 Entity disambiguation (via description) batch_69c79e30940c8190a1bcebc840a4990f completed March 28, 2026, 9:24 a.m.
Created at: March 27, 2026, 2:43 p.m.