Triple
T2737986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katharine Towne |
E60675
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Katharine Towne |
E60675
|
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: Katharine Towne | Statement: [Katharine Towne, name, Katharine Towne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katharine Towne Context triple: [Katharine Towne, name, Katharine Towne]
-
A.
Katharine Towne
chosen
Katharine Towne is an American actress known for her roles in films such as "She's All That," "Mulholland Drive," and "What Lies Beneath."
-
B.
Katharine Pember
Katharine Pember was a British mathematician known for her work in analysis and as the wife of physicist and geneticist Charles Galton Darwin.
-
C.
Katherine Emmet
Katherine Emmet was an American stage and silent film actress active in the early 20th century.
-
D.
Elizabeth Wendell
Elizabeth Wendell was a colonial-era New England woman best known as the mother of Dorothy Quincy, who became the wife of American Founding Father John Hancock.
-
E.
Ernestine Bradley
Ernestine Bradley is a German-American scholar and professor emerita of German and comparative literature, known for her academic work and public engagement in the United States.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb147a588190829b74fe05b3a114 |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5281079fc8190a69ae43b14407736 |
completed | March 14, 2026, 9:19 a.m. |
Created at: March 6, 2026, 9:56 p.m.