Triple

T16461450
Position Surface form Disambiguated ID Type / Status
Subject Andrew John Bailey E399815 entity
Predicate middleName P143 FINISHED
Object John
John is the middle name of Andrew John Bailey, the British economist and Governor of the Bank of England.
E1216930 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: [Andrew John Bailey, middleName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [Andrew John Bailey, 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 first name of Jack Phillips, the British wireless operator on the RMS Titanic who died during its sinking in 1912.
  • E. John
    John is the given name of John Maitland, 1st Duke of Lauderdale, a prominent 17th-century Scottish nobleman and statesman.
  • 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: [Andrew John Bailey, middleName, John]
Generated description
John is the middle name of Andrew John Bailey, the British economist and Governor of the Bank of England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the middle name of Andrew John Bailey, the British economist and Governor of the Bank of England.
  • A. John
    John is the given name of the English economist and social theorist J. A. Hobson, known for his influential critiques of imperialism and classical economics.
  • B. 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.
  • C. 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.
  • D. John
    John is the given name of John Prescott, a British Labour Party politician who served as Deputy Prime Minister of the United Kingdom from 1997 to 2007.
  • E. John
    John is the given name of the influential American economist John Bates Clark, known for his work on marginal productivity theory.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d819d548190bc76a0ec2e223437 completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00581a11e881908681f68c26ee6a05 completed May 10, 2026, 10:04 a.m.
NEDg Description generation batch_6a005865b5dc819087b1438a2f148575 completed May 10, 2026, 10:05 a.m.
NED2 Entity disambiguation (via description) batch_6a005900cb1c8190bb05016f3bef0950 completed May 10, 2026, 10:08 a.m.
Created at: April 10, 2026, 5:10 a.m.