Triple
T18195692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Gurney |
E435654
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Anna Gurney |
—
|
NE NERFINISHED |
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: Anna Gurney | Statement: [Anna Gurney, name, Anna Gurney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Gurney Context triple: [Anna Gurney, name, Anna Gurney]
-
A.
Anna Gurney
chosen
Anna Gurney was a 19th-century English scholar and philanthropist known for her work in Anglo-Saxon studies and her involvement in social reform.
-
B.
Natalie Gurney
Natalie Gurney is best known as the wife of American politician Edward Gurney, a former U.S. Senator from Florida.
-
C.
Jodie Haydon
Jodie Haydon is an Australian financial professional and women's advocate who is publicly known as the partner of Prime Minister Anthony Albanese.
-
D.
Chrystal Macmillan
Chrystal Macmillan was a pioneering Scottish feminist, suffragist, and pacifist who became one of the first female law graduates from the University of Edinburgh and a leading advocate for women's rights and international peace.
-
E.
Claire Wheeler
Claire Wheeler was the longtime partner and wife of Canadian author and environmentalist Farley Mowat, sharing in his life and work.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d2ad5881909d846f3851ac9ec9 |
completed | April 19, 2026, 2:04 p.m. |
Created at: April 10, 2026, 10:31 a.m.