Triple

T14063541
Position Surface form Disambiguated ID Type / Status
Subject George Townshend, 1st Marquess Townshend E338403 entity
Predicate givenName P17 FINISHED
Object George
George was the given name of George Townshend, 1st Marquess Townshend, an 18th-century British field marshal and politician.
E1078568 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: George | Statement: [George Townshend, 1st Marquess Townshend, givenName, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George
Context triple: [George Townshend, 1st Marquess Townshend, givenName, George]
  • A. George
    George is the first name of George Washington, the first President of the United States and a key leader in the American Revolutionary War.
  • B. George
    George is the given first name of South African rugby union coach Kitch Christie, who led the Springboks to victory in the 1995 Rugby World Cup.
  • C. George
    George is the given name of British journalist and editor Geordie Greig.
  • D. George
    George is the given name of George W. Norris, a prominent early 20th-century American politician known for his progressive reforms and long service in the U.S. Congress.
  • E. George
    George is the given name of George Villiers, 1st Earl of Clarendon, a prominent 17th-century English statesman and royal advisor.
  • 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: George
Triple: [George Townshend, 1st Marquess Townshend, givenName, George]
Generated description
George was the given name of George Townshend, 1st Marquess Townshend, an 18th-century British field marshal and politician.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: George
Target entity description: George was the given name of George Townshend, 1st Marquess Townshend, an 18th-century British field marshal and politician.
  • A. George
    George is the given name of George Spencer, 4th Duke of Marlborough, an 18th-century British nobleman and politician.
  • B. George
    George is the given name of George Montagu-Dunk, 2nd Earl of Halifax, an influential 18th-century British statesman and colonial administrator.
  • C. George
    George is the given name of George Villiers, 1st Earl of Clarendon, a prominent 17th-century English statesman and royal advisor.
  • D. George
    George is the given name of Sir George Grey, a prominent 19th-century British colonial governor and statesman.
  • E. George
    George is the given name of Lord George Murray, a prominent Scottish Jacobite general during the 18th-century uprisings.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5689c7f48190a47ca94eaa8a9ef9 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6504dcc81908a1dfa5a83ed7b08 completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcc408dc008190ae61bd7044857bb6 completed May 7, 2026, 4:55 p.m.
NED2 Entity disambiguation (via description) batch_69fcc4770ce48190ab8ed2bd5f669d8d completed May 7, 2026, 4:57 p.m.
Created at: April 9, 2026, 10:21 p.m.