Triple

T16707099
Position Surface form Disambiguated ID Type / Status
Subject Lord Clarendon E405997 entity
Predicate givenName P17 FINISHED
Object George
George is the given name of Lord Clarendon, a prominent English statesman and historian of the 17th century.
 E961427 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 Clarendon, givenName, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: George
Context triple: [Lord Clarendon, 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: [Lord Clarendon, givenName, George]
Generated description
George is the given name of Lord Clarendon, a prominent English statesman and historian of the 17th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: George
Target entity description: George is the given name of Lord Clarendon, a prominent English statesman and historian of the 17th century.
  • A. George chosen
    George is the given name of George Villiers, 1st Earl of Clarendon, a prominent 17th-century English statesman and royal advisor.
  • B. George
    George is the given name of Lord Auckland, a British statesman and colonial administrator of the 19th century.
  • C. George
    George is the given name of George Monck, a 17th-century English soldier and statesman instrumental in the Restoration of the monarchy under Charles II.
  • D. George
    George is the given name of George Goring, Lord Goring, a prominent Royalist commander during the English Civil War.
  • E. George
    George is the given name of Sir George Grey, a prominent 19th-century British colonial governor and statesman.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3833695908190afd4d2ece233be00 completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a50eac81908af26a5131bf0a6c completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a00925fda608190b3674bd5e9ca6bf5 completed May 10, 2026, 2:12 p.m.
NED2 Entity disambiguation (via description) batch_6a00939075d88190a63cdd942eb3fea8 completed May 10, 2026, 2:17 p.m.
Created at: April 10, 2026, 5:19 a.m.