Triple

T22384355
Position Surface form Disambiguated ID Type / Status
Subject John Makinson E553356 entity
Predicate givenName P17 FINISHED
Object John
John Makinson is a British publishing executive best known for serving as chairman of Penguin Random House and former CEO of the Penguin Group.
E1533592 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 Makinson, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Makinson, givenName, John]
  • A. John
    John B. Magruder was a Confederate major general during the American Civil War, known for his leadership in the Peninsula Campaign and his flamboyant personality.
  • B. John
    John is the given first name of Buck Freeman, an American professional baseball player from the late 19th and early 20th centuries.
  • C. John
    John Napier was a Scottish mathematician best known for inventing logarithms and popularizing the use of the decimal point in arithmetic.
  • D. John
    John is the given name of Duke John Albert of Mecklenburg, a German nobleman from the House of Mecklenburg.
  • E. John
    John is the given name of John Parker Hale, a prominent 19th-century American politician and early anti-slavery advocate from New Hampshire.
  • 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 Makinson, givenName, John]
Generated description
John Makinson is a British publishing executive best known for serving as chairman of Penguin Random House and former CEO of the Penguin Group.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John Makinson is a British publishing executive best known for serving as chairman of Penguin Random House and former CEO of the Penguin Group.
  • A. John
    John, known formally as Lord Browne of Madingley, is a prominent British businessman and former chief executive of BP.
  • B. John
    John is the given name of John Reid, a prominent music executive known for managing artists such as Elton John and Queen.
  • C. John
    John is the given name of Sir John Tusa, a prominent British arts administrator and former managing director of the BBC World Service and the Barbican Centre.
  • D. John
    John is the given name of Sir John Parker, a prominent British businessman and industrialist known for leading several major UK companies.
  • E. John
    John is the given name of John Edward Taylor, the 19th-century British publisher and founder of The Manchester Guardian newspaper.
  • 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1582e58dc8190a2ad6b10c9d1f951 completed April 29, 2026, 1 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae9af92788190a75896d9537d7072 completed May 18, 2026, 10:27 a.m.
NEDg Description generation batch_6a0aeaac3c68819086360eb760bb63b3 completed May 18, 2026, 10:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0aeb110f148190b50765853d6540ef completed May 18, 2026, 10:33 a.m.
Created at: April 16, 2026, 8:45 p.m.