Triple

T3652730
Position Surface form Disambiguated ID Type / Status
Subject Coke family E77458 entity
Predicate hasNotableMember P304 FINISHED
Object John Coke
John Coke was a prominent English politician and statesman, notably serving as Secretary of State under King Charles I in the early 17th century.
 E378820 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 Coke | Statement: [Coke family, hasNotableMember, John Coke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Coke
Context triple: [Coke family, hasNotableMember, John Coke]
  • A. Philip Coke
    Philip Coke is a notable member of the prominent British aristocratic Coke family, historically associated with landownership and public service.
  • B. Wenman Coke
    Wenman Coke was an 18th-century British landowner and politician from the prominent Coke family, associated with Holkham Hall in Norfolk.
  • C. Charles Black
    Charles Black is a business associate and partner of Adam Black.
  • D. Samuel Smith
    Samuel Smith was a London-based bookseller and publisher active in the early 18th century, known for issuing significant scientific works including Isaac Newton’s "Opticks."
  • E. Samuel Smith
    Samuel Smith was an American Revolutionary War and War of 1812 officer and politician who led the defense of Baltimore against the British in 1814.
  • 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 Coke
Triple: [Coke family, hasNotableMember, John Coke]
Generated description
John Coke was a prominent English politician and statesman, notably serving as Secretary of State under King Charles I in the early 17th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Coke
Target entity description: John Coke was a prominent English politician and statesman, notably serving as Secretary of State under King Charles I in the early 17th century.
  • A. Philip Coke
    Philip Coke is a notable member of the prominent British aristocratic Coke family, historically associated with landownership and public service.
  • B. Wenman Coke
    Wenman Coke was an 18th-century British landowner and politician from the prominent Coke family, associated with Holkham Hall in Norfolk.
  • C. Charles Black
    Charles Black is a business associate and partner of Adam Black.
  • D. Samuel Smith
    Samuel Smith was a London-based bookseller and publisher active in the early 18th century, known for issuing significant scientific works including Isaac Newton’s "Opticks."
  • E. Samuel Smith
    Samuel Smith was an American Revolutionary War and War of 1812 officer and politician who led the defense of Baltimore against the British in 1814.
  • 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3b805a48190a7bc230a382365d6 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b488394aa48190b91985aa912cf733 completed March 13, 2026, 9:57 p.m.
NEDg Description generation batch_69b48c3204dc8190bd283ce429b08291 completed March 13, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69b4bcc702dc81908bbeb7ce73c8a5db completed March 14, 2026, 1:41 a.m.
Created at: March 8, 2026, 3:24 p.m.