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.