Triple

T8877645
Position Surface form Disambiguated ID Type / Status
Subject Lord Lansdowne E211326 entity
Predicate givenName P17 FINISHED
Object George
George is the given name of Lord Lansdowne, a British aristocrat and statesman.
 E651697 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: [Lord Lansdowne, givenName, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: George
Context triple: [Lord Lansdowne, givenName, George]
  • A. George
    George is the given first name of the fictional character Gob Bluth from the television series "Arrested Development."
  • B. George
    George is the given name of George Stanley, 9th Baron Strange, an English nobleman and politician of the late 15th century.
  • C. George
    George is a middle-aged, embittered history professor whose caustic wit and psychological games drive the intense marital drama in Edward Albee’s play "Who’s Afraid of Virginia Woolf?".
  • D. George
    George is the given name of George Washington Gale Ferris Jr., the American engineer best known for inventing the original Ferris wheel.
  • E. George
    George is the given name of George Carnegie, 6th Earl of Northesk, a Scottish nobleman and naval officer in the Royal Navy.
  • 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: [Lord Lansdowne, givenName, George]
Generated description
George is the given name of Lord Lansdowne, a British aristocrat and statesman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: George
Target entity description: George is the given name of Lord Lansdowne, a British aristocrat and statesman.
  • A. George
    George is the given name of Lord George Cavendish, a British aristocrat and politician from the prominent Cavendish family.
  • B. George
    George is the given name of George Spencer-Churchill, 6th Duke of Marlborough, a British aristocrat and politician of the 19th century.
  • C. George chosen
    George is the given name of George Montagu-Dunk, 2nd Earl of Halifax, an influential 18th-century British statesman and colonial administrator.
  • D. George
    George is the given name of Lord George Gordon, an 18th-century British politician best known for inciting the anti-Catholic Gordon Riots of 1780.
  • E. George
    George is the given name of George Goring, Lord Goring, a prominent Royalist commander during the English Civil War.
  • F. None of above.

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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61496870819097c55c73aca62aac completed April 1, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba149400819096cb93fdda440dcd completed April 3, 2026, 1:01 p.m.
NEDg Description generation batch_69cfbab0b0048190a0ad002787dddffa completed April 3, 2026, 1:03 p.m.
NED2 Entity disambiguation (via description) batch_69cfbb4f1f6881908ec9e419d175d044 completed April 3, 2026, 1:06 p.m.
Created at: March 30, 2026, 6:52 p.m.