Triple

T19784020
Position Surface form Disambiguated ID Type / Status
Subject John Updike E475211 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of the American novelist, short-story writer, and critic John Updike, renowned for his insightful portrayals of middle-class American life.
E475211 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 Updike, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Updike, 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 name of the English jurist and scholar John Selden, a prominent 17th-century authority on law and constitutional history.
  • E. John
    John is the given first name of Australian actor Chips Rafferty, a prominent figure in mid-20th-century Australian cinema.
  • 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 Updike, givenName, John]
Generated description
John is the given name of the American novelist, short-story writer, and critic John Updike, renowned for his insightful portrayals of middle-class American life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of the American novelist, short-story writer, and critic John Updike, renowned for his insightful portrayals of middle-class American life.
  • A. John chosen
    John is the given name of the American novelist, short-story writer, and critic John Updike, renowned for his insightful portrayals of middle-class American life.
  • B. John
    John is the given name of American novelist and short story writer John Cheever, often called "the Chekhov of the suburbs" for his portrayals of mid-20th-century American life.
  • C. John
    John is the given name of the American novelist and artist John Dos Passos, known for his modernist U.S.A. trilogy.
  • D. John
    John is the given name of the renowned American author John Steinbeck, known for works such as "The Grapes of Wrath" and "Of Mice and Men."
  • E. John
    John is the given name of the American novelist, screenwriter, and literary critic John Gregory Dunne.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65385ee8081908d58cc3ff05b9b23 completed April 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07c4f1000481909efe0d10869596ed completed May 16, 2026, 1:14 a.m.
NEDg Description generation batch_6a07c5e352ac819082cf01c4ba9ed8cb completed May 16, 2026, 1:18 a.m.
NED2 Entity disambiguation (via description) batch_6a07c73b731881909c8abaeb541e34f9 completed May 16, 2026, 1:24 a.m.
Created at: April 10, 2026, 1:49 p.m.