Triple
T12415104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Cyrene Burch Breckinridge |
E296615
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Burch
Burch is a surname of English origin borne by various notable individuals across politics, arts, and other fields.
|
E980915
|
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: Burch | Statement: [Mary Cyrene Burch Breckinridge, familyName, Burch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burch Context triple: [Mary Cyrene Burch Breckinridge, familyName, Burch]
-
A.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
-
B.
Mycoskie
Mycoskie is the surname of Blake Mycoskie, the American entrepreneur best known as the founder of TOMS Shoes and pioneer of the “One for One” social entrepreneurship model.
-
C.
Burton
Burton is the surname of acclaimed American filmmaker Tim Burton, known for his dark, gothic, and whimsical visual style.
-
D.
Burton
Burton is a masculine given name of English origin, notably borne by the American actor Burt Lancaster.
-
E.
Burton
Burton is a village and suburb situated just outside the coastal town of Christchurch in Dorset, England.
- 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: Burch Triple: [Mary Cyrene Burch Breckinridge, familyName, Burch]
Generated description
Burch is a surname of English origin borne by various notable individuals across politics, arts, and other fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Burch Target entity description: Burch is a surname of English origin borne by various notable individuals across politics, arts, and other fields.
-
A.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
-
B.
Mycoskie
Mycoskie is the surname of Blake Mycoskie, the American entrepreneur best known as the founder of TOMS Shoes and pioneer of the “One for One” social entrepreneurship model.
-
C.
Burton
Burton is the surname of acclaimed American filmmaker Tim Burton, known for his dark, gothic, and whimsical visual style.
-
D.
Burton
Burton is a masculine given name of English origin, notably borne by the American actor Burt Lancaster.
-
E.
Burton
Burton is a village and suburb situated just outside the coastal town of Christchurch in Dorset, England.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d6c4f6c8190bc99d3f7b64205c3 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f634915940819092665f1f35aa823d |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f635997b088190b6207fcac5594eb2 |
completed | May 2, 2026, 5:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f636d727a08190882eec3fd664b64d |
completed | May 2, 2026, 5:39 p.m. |
Created at: April 8, 2026, 9:55 p.m.