Triple

T17895470
Position Surface form Disambiguated ID Type / Status
Subject John Robert Clynes E447421 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John Robert Clynes, a prominent British Labour politician who served as Leader of the Labour Party and Home Secretary in the early 20th century.
E1298862 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: John | Statement: [John Robert Clynes, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Robert Clynes, givenName, John]
  • A. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • B. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • C. John
    John Ross is a personal name shared by various notable individuals across history, including leaders, politicians, and public figures.
  • D. John
    John is the first name of Jack Graney, a Canadian Major League Baseball player and later a pioneering baseball broadcaster.
  • E. John
    John is the given first name of the American Old West outlaw and gunfighter Johnny Ringo.
  • 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: John
Triple: [John Robert Clynes, givenName, John]
Generated description
John is the given name of John Robert Clynes, a prominent British Labour politician who served as Leader of the Labour Party and Home Secretary in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John Robert Clynes, a prominent British Labour politician who served as Leader of the Labour Party and Home Secretary in the early 20th century.
  • A. John
    John is the given name of John Boyd-Carpenter, a prominent British Conservative politician who served in several senior government positions in the mid-20th century.
  • B. John
    John is the given name of Sir John Anderson, a British civil servant and politician who played a key role in government during the early 20th century.
  • C. John
    John is the given name of John Russell, 1st Earl Russell, a prominent 19th-century British statesman and Prime Minister.
  • D. John
    John is the given name of John Allsebrook Simon, a prominent British lawyer, politician, and statesman of the early 20th century.
  • E. John
    John is the first name of Jeremy Thorpe, a prominent British Liberal Party politician and former party leader.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d7eb4f48190951e26975b57873b completed April 19, 2026, 9:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a033000790c8190b65c0f888bdd9482 completed May 12, 2026, 1:49 p.m.
NEDg Description generation batch_6a0331bd44f08190b564dae3fee6dcbd completed May 12, 2026, 1:57 p.m.
NED2 Entity disambiguation (via description) batch_6a03342d68e08190901e2fcb33627714 completed May 12, 2026, 2:07 p.m.
Created at: April 10, 2026, 10:19 a.m.