Triple
T330344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Burwell |
E6611
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Burwell
Burwell is an English surname historically associated with several notable figures and families in Britain and the United States.
|
E44377
|
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: Burwell | Statement: [Mary Burwell, familyName, Burwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burwell Context triple: [Mary Burwell, familyName, Burwell]
-
A.
Randolph
Randolph is the given name of Lord Randolph Churchill, a prominent 19th-century British Conservative politician and father of Winston Churchill.
-
B.
Pendleton
Pendleton is an inner-city district of Salford in Greater Manchester, England, known for its mix of residential areas, retail developments, and post-war social housing.
-
C.
Warren
Warren is the given name of Warren Buffett, the renowned American investor and longtime CEO of Berkshire Hathaway.
-
D.
Marshall
Marshall is a common English surname borne by numerous notable figures, including military leaders, politicians, and artists.
-
E.
Knox
Knox is a surname most famously associated with Henry Knox, a key American Revolutionary War general and the first United States Secretary of War.
- 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: Burwell Triple: [Mary Burwell, familyName, Burwell]
Generated description
Burwell is an English surname historically associated with several notable figures and families in Britain and the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Burwell Target entity description: Burwell is an English surname historically associated with several notable figures and families in Britain and the United States.
-
A.
Randolph
Randolph is the given name of Lord Randolph Churchill, a prominent 19th-century British Conservative politician and father of Winston Churchill.
-
B.
Pendleton
Pendleton is an inner-city district of Salford in Greater Manchester, England, known for its mix of residential areas, retail developments, and post-war social housing.
-
C.
Warren
Warren is the given name of Warren Buffett, the renowned American investor and longtime CEO of Berkshire Hathaway.
-
D.
Marshall
Marshall is a common English surname borne by numerous notable figures, including military leaders, politicians, and artists.
-
E.
Knox
Knox is a surname most famously associated with Henry Knox, a key American Revolutionary War general and the first United States Secretary of War.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eaaeb64881909c7ab9bca3378e2b |
completed | Feb. 28, 2026, 1:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3d7e6f9408190a4c17c25a57625cf |
completed | March 1, 2026, 6:08 a.m. |
| NEDg | Description generation | batch_69a3db973b7c819088fa25046ef67966 |
completed | March 1, 2026, 6:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3dc9859308190ba69dc53b36cbe38 |
completed | March 1, 2026, 6:28 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.