Triple

T17362288
Position Surface form Disambiguated ID Type / Status
Subject William John Burchell E422098 entity
Predicate middleName P143 FINISHED
Object John
John is the middle name of the English explorer and naturalist William John Burchell, known for his extensive travels and scientific observations in Africa and South America.
E1267552 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: [William John Burchell, middleName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [William John Burchell, middleName, John]
  • A. John
    John is the given name of John J. Pershing, the famed American general who led the American Expeditionary Forces in World War I.
  • B. 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.
  • C. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • D. John
    John is the given name of John Williams Walker, an early 19th-century American politician and U.S. Senator from Alabama.
  • E. John
    John is the given name of John Bowen, a British novelist and playwright known for his crime and speculative fiction.
  • 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: [William John Burchell, middleName, John]
Generated description
John is the middle name of the English explorer and naturalist William John Burchell, known for his extensive travels and scientific observations in Africa and South America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the middle name of the English explorer and naturalist William John Burchell, known for his extensive travels and scientific observations in Africa and South America.
  • A. John
    John is the middle name of the 19th-century English naturalist and illustrator William John Swainson.
  • B. John
    John is the middle name of William John Bertanzetti.
  • C. 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.
  • D. John
    John is the given name of the British explorer John Hanning Speke, known for his expeditions in Africa and the discovery of Lake Victoria as a source of the Nile.
  • E. John
    John is the given name of Sir John Barrow, a prominent 19th-century English statesman, writer, and promoter of Arctic exploration.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4d6de88190b816b93ff5778157 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01a7e776688190ab752bd25cf4591a completed May 11, 2026, 9:56 a.m.
NEDg Description generation batch_6a01a9249a148190a0d5c4d0ee87de43 completed May 11, 2026, 10:02 a.m.
NED2 Entity disambiguation (via description) batch_6a01aa503d948190ad1c68e8b6f62a9f completed May 11, 2026, 10:07 a.m.
Created at: April 10, 2026, 5:44 a.m.