Triple

T20884548
Position Surface form Disambiguated ID Type / Status
Subject Sir John Major E514241 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of Sir John Major, the British Conservative politician who served as Prime Minister of the United Kingdom from 1990 to 1997.
E927067 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: [Sir John Major, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [Sir John Major, 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 is the middle name of Samuel John Mills, an American Congregationalist minister known for his role in early 19th-century missionary movements.
  • D. John
    John is the given first name of Australian actor Chips Rafferty, a prominent figure in mid-20th-century Australian cinema.
  • E. John
    John is the given name of John Romita Sr., the influential American comic book artist best known for his work on Marvel's The Amazing Spider-Man.
  • 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: [Sir John Major, givenName, John]
Generated description
John is the given name of Sir John Major, the British Conservative politician who served as Prime Minister of the United Kingdom from 1990 to 1997.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of Sir John Major, the British Conservative politician who served as Prime Minister of the United Kingdom from 1990 to 1997.
  • A. John chosen
    John is the given name of John Major, who served as Prime Minister of the United Kingdom from 1990 to 1997.
  • B. John
    John is the given name of John Prescott, a British Labour Party politician who served as Deputy Prime Minister of the United Kingdom from 1997 to 2007.
  • C. John
    John is the given name of Lord Palmerston, the 19th-century British statesman who served twice as Prime Minister of the United Kingdom.
  • D. 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.
  • E. John
    John is the given name of Frederick John Robinson, 1st Viscount Goderich, a 19th-century British statesman who briefly served as Prime Minister of the United Kingdom.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c67bd32c819097301e330e358c49 completed April 21, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a091fb7de50819098e0ef8299156950 completed May 17, 2026, 1:54 a.m.
NEDg Description generation batch_6a092016cc588190a41a0f05cc2afbb4 completed May 17, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0920b3dfac8190a12229c81663b324 completed May 17, 2026, 1:58 a.m.
Created at: April 16, 2026, 12:46 p.m.