Triple

T19022578
Position Surface form Disambiguated ID Type / Status
Subject Robert George Kekewich E465523 entity
Predicate givenName P17 FINISHED
Object George
George is the given name of Robert George Kekewich, a British Army officer known for his service during the Second Boer War.
E1355368 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: [Robert George Kekewich, givenName, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George
Context triple: [Robert George Kekewich, 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 middle name of William George Barker, a renowned Canadian World War I flying ace and Victoria Cross recipient.
  • C. George
    George is the given name of George Stanley, 9th Baron Strange, an English nobleman and politician of the late 15th century.
  • D. George
    George is the given name of George Carnegie, 6th Earl of Northesk, a Scottish nobleman and naval officer in the Royal Navy.
  • 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
  • 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: [Robert George Kekewich, givenName, George]
Generated description
George is the given name of Robert George Kekewich, a British Army officer known for his service during the Second Boer War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: George
Target entity description: George is the given name of Robert George Kekewich, a British Army officer known for his service during the Second Boer War.
  • A. George
    George is the given name of Sir George Grey, a prominent 19th-century British colonial governor and statesman.
  • 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 Lord Auckland, a British statesman and colonial administrator of the 19th century.
  • D. George
    George is the given name of Sir George Collier, a British Royal Navy officer known for his service during the late 18th and early 19th centuries.
  • E. George
    George is the given name of George Augustus Eliott, an 18th-century British Army officer best known for commanding the successful defense of Gibraltar during the Great Siege.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6e0583c8190bdfbfe6d94681899 completed April 20, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05be4e6e048190b5b0050b90a4ce04 completed May 14, 2026, 12:21 p.m.
NEDg Description generation batch_6a05bf11e17c81909ccc56bd6337d524 completed May 14, 2026, 12:24 p.m.
NED2 Entity disambiguation (via description) batch_6a05bf9b18788190aae5a577b8f725fc completed May 14, 2026, 12:27 p.m.
Created at: April 10, 2026, 12:02 p.m.