Triple

T5522008
Position Surface form Disambiguated ID Type / Status
Subject Lord George Cavendish E144831 entity
Predicate givenName P17 FINISHED
Object George
George is the given name of Lord George Cavendish, a British aristocrat and politician from the prominent Cavendish family.
E531739 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 George Cavendish, givenName, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George
Context triple: [Lord George Cavendish, 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 heroic protagonist of the fantasy film "The Magic Sword," known for embarking on a perilous quest to rescue a princess from an evil sorcerer.
  • C. George
    George is one of the central child detectives in Enid Blyton’s classic Secret Seven mystery series.
  • D. George
    George is the given name of George Washington Vanderbilt II, the American art collector and member of the prominent Vanderbilt family who built the Biltmore Estate.
  • E. George
    George is the birth name of the legendary American baseball player Babe Ruth, one of the sport’s most iconic figures.
  • 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 George Cavendish, givenName, George]
Generated description
George is the given name of Lord George Cavendish, a British aristocrat and politician from the prominent Cavendish family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: George
Target entity description: George is the given name of Lord George Cavendish, a British aristocrat and politician from the prominent Cavendish family.
  • A. George
    George is the given name of George Stanley, 9th Baron Strange, an English nobleman and politician of the late 15th century.
  • B. George
    George is the given name of George Goring, Lord Goring, a prominent Royalist commander during the English Civil War.
  • C. George
    George is the given name of George V of Hanover, a 19th-century King of Hanover from the House of Hanover.
  • D. George
    George is the given name of Lord Goring, a witty and fashionable character in Oscar Wilde’s play "An Ideal Husband."
  • E. George
    George is the given name of George Black, a New Zealand 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_69c008f873a481909b4d9f7e2db3c37d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f7227a8819080c9f074afe0eaac completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027ee724c819086b92ea127961e09 completed March 22, 2026, 5:33 p.m.
NEDg Description generation batch_69c03c0ab1d8819094aeaac0a5b57bc8 completed March 22, 2026, 6:59 p.m.
NED2 Entity disambiguation (via description) batch_69c03cd550748190ab9718c510d2f0ca completed March 22, 2026, 7:02 p.m.
Created at: March 22, 2026, 3:33 p.m.