Triple

T20619696
Position Surface form Disambiguated ID Type / Status
Subject John Rutter E506665 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of the English composer and conductor John Rutter, renowned for his choral music and sacred compositions.
E1440832 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 Rutter, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Rutter, 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 given name of Sir John Coke, an English statesman who served as Secretary of State under King Charles I in the early 17th century.
  • E. John
    John, Duke of Berry, was a powerful 14th-century French prince renowned as a major patron of the arts, especially for commissioning lavish illuminated manuscripts such as the Très Riches Heures.
  • 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 Rutter, givenName, John]
Generated description
John is the given name of the English composer and conductor John Rutter, renowned for his choral music and sacred compositions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of the English composer and conductor John Rutter, renowned for his choral music and sacred compositions.
  • A. John
    John is the given name of the renowned English conductor John Eliot Gardiner, noted for his interpretations of Baroque and Classical music.
  • B. John
    John is the given name of John Adams, the prominent American minimalist and post-minimalist composer known for works like "Nixon in China" and "Short Ride in a Fast Machine."
  • C. John
    John is the given name of the renowned American composer and conductor John Williams, famous for his iconic film scores such as those for Star Wars, Jaws, and Indiana Jones.
  • D. John
    John is the given name of the American composer John Luther Adams, known for his works inspired by nature and environmental themes.
  • E. John
    John is the given name of John Cage, the influential 20th-century American composer known for his avant-garde and experimental music.
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe0e22c81909f6efe21518e33f0 completed April 20, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08bb0d11048190a2bd636b6d99b49b completed May 16, 2026, 6:44 p.m.
NEDg Description generation batch_6a08bba2e85881909ae887fc5bc3121f completed May 16, 2026, 6:46 p.m.
NED2 Entity disambiguation (via description) batch_6a08bc410f008190b00bf4956d591176 completed May 16, 2026, 6:49 p.m.
Created at: April 16, 2026, 11:41 a.m.