Triple
T9434913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 11th Duke of Marlborough |
E227478
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John, 11th Duke of Marlborough, was a British aristocrat and peer who headed the prominent Spencer-Churchill family in the 20th century.
|
E799950
|
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: [11th Duke of Marlborough, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [11th Duke of Marlborough, givenName, John]
-
A.
John
John is the given name of the American composer John Luther Adams, known for his works inspired by nature and environmental themes.
-
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 first name of John Dashwood, a character in Jane Austen's novel "Sense and Sensibility."
-
D.
John
John is the given name of actor John Cho, a Korean American performer known for roles in the "Harold & Kumar" films and the "Star Trek" reboot series.
-
E.
John
John is the first name of the fictional character John Connor, the prophesied leader of the human resistance in the Terminator franchise.
- 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: [11th Duke of Marlborough, givenName, John]
Generated description
John, 11th Duke of Marlborough, was a British aristocrat and peer who headed the prominent Spencer-Churchill family in the 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John, 11th Duke of Marlborough, was a British aristocrat and peer who headed the prominent Spencer-Churchill family in the 20th century.
-
A.
John
John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
-
B.
John
John is the given name of John Winston Spencer-Churchill, the 7th Duke of Marlborough, a prominent 19th-century British aristocrat and politician.
-
C.
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.
-
D.
John
John is the given name of John Russell, 6th Duke of Bedford, a prominent British aristocrat and politician of the late 18th and early 19th centuries.
-
E.
John
John is the given name of John Strange Spencer-Churchill, a British Army officer and the younger brother of Prime Minister Winston Churchill.
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e64109081908222f590928bc572 |
completed | April 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1104a002481909ca805893bac61c6 |
completed | April 4, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_69d110ffda7881908e4edd692b818464 |
completed | April 4, 2026, 1:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d11190dd6c8190b6318df44daa9858 |
completed | April 4, 2026, 1:26 p.m. |
Created at: March 30, 2026, 7:50 p.m.