Triple
T6080641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabella Brant |
E135512
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Brant
Brant is a family name most notably associated with Isabella Brant, the first wife and frequent muse of the Flemish Baroque painter Peter Paul Rubens.
|
E566037
|
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: Brant | Statement: [Isabella Brant, hasFamilyName, Brant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brant Context triple: [Isabella Brant, hasFamilyName, Brant]
-
A.
Bancroft
Bancroft is an English-origin surname borne by various notable figures in politics, academia, and the arts.
-
B.
Cabell
Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
-
C.
Laurens
Laurens is a surname most notably associated with Henry Laurens, an American merchant, slave trader, and President of the Continental Congress during the American Revolution.
-
D.
Hillegas
Hillegas is a surname most notably associated with Michael Hillegas, the first Treasurer of the United States.
-
E.
Brewster
Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
- 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: Brant Triple: [Isabella Brant, hasFamilyName, Brant]
Generated description
Brant is a family name most notably associated with Isabella Brant, the first wife and frequent muse of the Flemish Baroque painter Peter Paul Rubens.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brant Target entity description: Brant is a family name most notably associated with Isabella Brant, the first wife and frequent muse of the Flemish Baroque painter Peter Paul Rubens.
-
A.
Bancroft
Bancroft is an English-origin surname borne by various notable figures in politics, academia, and the arts.
-
B.
Cabell
Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
-
C.
Laurens
Laurens is a surname most notably associated with Henry Laurens, an American merchant, slave trader, and President of the Continental Congress during the American Revolution.
-
D.
Hillegas
Hillegas is a surname most notably associated with Michael Hillegas, the first Treasurer of the United States.
-
E.
Brewster
Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057735b6081908b82757505fa7d5d |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d52850c8190baaf70460e74065f |
completed | March 23, 2026, 11 a.m. |
| NEDg | Description generation | batch_69c11dc2becc8190991c444357755dec |
completed | March 23, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11ed987e08190bf7065d04d9c3a0c |
completed | March 23, 2026, 11:07 a.m. |
Created at: March 22, 2026, 4:11 p.m.