Triple
T11481147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Sharp (Archbishop of York) |
E272150
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of John Sharp, who served as the Archbishop of York in the Church of England during the late 17th and early 18th centuries.
|
E928531
|
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 Sharp (Archbishop of York), givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John Sharp (Archbishop of York), givenName, John]
-
A.
John
John is the given name of John Reith, the influential first Director-General of the BBC who shaped early public service broadcasting in the United Kingdom.
-
B.
John
John is the given name of John Arbuthnot Fisher, a prominent British admiral and naval reformer of the late 19th and early 20th centuries.
-
C.
John
John is the given name of the American composer John Luther Adams, known for his works inspired by nature and environmental themes.
-
D.
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."
-
E.
John
John is the first name of John Dashwood, a character in Jane Austen's novel "Sense and Sensibility."
- 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 Sharp (Archbishop of York), givenName, John]
Generated description
John is the given name of John Sharp, who served as the Archbishop of York in the Church of England during the late 17th and early 18th centuries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of John Sharp, who served as the Archbishop of York in the Church of England during the late 17th and early 18th centuries.
-
A.
John
John is the given name of John Churchill, Marquess of Blandford, an English nobleman from the prominent Churchill family in the early 18th century.
-
B.
John
John is the given name of John Stott, a prominent 20th-century English Anglican priest, theologian, and influential evangelical leader.
-
C.
John
John is the given name of John Copley, 1st Baron Lyndhurst, a prominent 19th-century British lawyer and politician who served three times as Lord Chancellor.
-
D.
John
John is the given name of John Sheffield, 1st Duke of Buckingham and Normanby, an English statesman and poet active in the late 17th and early 18th centuries.
-
E.
John
John is the given name of John Winston Spencer-Churchill, the 7th Duke of Marlborough, a prominent 19th-century British aristocrat and politician.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294f0e948190b2e106beb86e4b2c |
completed | April 9, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e604410fbc819098b101c029b63525 |
completed | April 20, 2026, 10:47 a.m. |
| NEDg | Description generation | batch_69e610a5ea0481908169c58dc0831b76 |
completed | April 20, 2026, 11:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6182b06f88190ab36d976ac989019 |
completed | April 20, 2026, 12:12 p.m. |
Created at: April 8, 2026, 9:36 p.m.