Triple

T11481147
Position Surface form Disambiguated ID Type / Status
Subject John Sharp (Archbishop of York) E272150 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John Sharp, who served as the Archbishop of York in the Church of England during the late 17th and early 18th centuries.
E928531 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 Sharp (Archbishop of York), givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Sharp (Archbishop of York), givenName, John]
  • A. John
    John is the given name of John Reith, the influential first Director-General of the BBC who shaped early public service broadcasting in the United Kingdom.
  • B. John
    John is the given name of John Arbuthnot Fisher, a prominent British admiral and naval reformer of the late 19th and early 20th centuries.
  • C. John
    John is the given name of the American composer John Luther Adams, known for his works inspired by nature and environmental themes.
  • D. John
    John is the given name of John Adams, the prominent American minimalist and post-minimalist composer known for works like "Nixon in China" and "Short Ride in a Fast Machine."
  • E. John
    John is the first name of John Dashwood, a character in Jane Austen's novel "Sense and Sensibility."
  • 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 Sharp (Archbishop of York), givenName, John]
Generated description
John is the given name of John Sharp, who served as the Archbishop of York in the Church of England during the late 17th and early 18th centuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John Sharp, who served as the Archbishop of York in the Church of England during the late 17th and early 18th centuries.
  • A. John
    John is the given name of John Churchill, Marquess of Blandford, an English nobleman from the prominent Churchill family in the early 18th century.
  • B. John
    John is the given name of John Stott, a prominent 20th-century English Anglican priest, theologian, and influential evangelical leader.
  • C. John
    John is the given name of John Copley, 1st Baron Lyndhurst, a prominent 19th-century British lawyer and politician who served three times as Lord Chancellor.
  • D. John
    John is the given name of John Sheffield, 1st Duke of Buckingham and Normanby, an English statesman and poet active in the late 17th and early 18th centuries.
  • E. John
    John is the given name of John Winston Spencer-Churchill, the 7th Duke of Marlborough, a prominent 19th-century British aristocrat and politician.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294f0e948190b2e106beb86e4b2c completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e604410fbc819098b101c029b63525 completed April 20, 2026, 10:47 a.m.
NEDg Description generation batch_69e610a5ea0481908169c58dc0831b76 completed April 20, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_69e6182b06f88190ab36d976ac989019 completed April 20, 2026, 12:12 p.m.
Created at: April 8, 2026, 9:36 p.m.