Triple
T12429001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Bradstreet |
E296974
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Anne Bradstreet |
E83389
|
NE FINISHED |
How this triple was built (2 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: Anne Bradstreet | Statement: [Simon Bradstreet, spouse, Anne Bradstreet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Bradstreet Context triple: [Simon Bradstreet, spouse, Anne Bradstreet]
-
A.
Anne Bradstreet
chosen
Anne Bradstreet was a 17th-century Puritan poet and one of the first published female writers in the English colonies of North America.
-
B.
Dorothy Bradstreet
Dorothy Bradstreet was a colonial New England woman known primarily through her marriage into the prominent Cotton family, including her husband, minister Seaborn Cotton.
-
C.
Anna Brewster
Anna Brewster is an English actress and model known for her roles in film and television, including period dramas and independent features.
-
D.
Elizabeth Hubbard
Elizabeth Hubbard was a business associate of Florence Nightingale Graham, better known as Elizabeth Arden, involved in the early development of the cosmetics industry.
-
E.
Ann Donne
Ann Donne was the mother of English poet and hymnodist William Cowper, remembered primarily through his affectionate and elegiac writings about her.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d7ddc688190bddb242d67fa6e89 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6349b075c8190b77cd51bc45be8ef |
completed | May 2, 2026, 5:30 p.m. |
Created at: April 8, 2026, 9:55 p.m.