Triple
T18686595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Hunt, Baron Hunt of Tanworth |
E456881
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Ann Hunt |
—
|
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: Ann Hunt | Statement: [John Hunt, Baron Hunt of Tanworth, spouse, Ann Hunt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ann Hunt Context triple: [John Hunt, Baron Hunt of Tanworth, spouse, Ann Hunt]
-
A.
Ann Hunt
chosen
Ann Hunt is the wife of British Conservative politician John Hunt, Baron Hunt of Tanworth.
-
B.
Jane Hunt
Jane Hunt was a 19th-century American Quaker reformer and early women's rights activist who helped organize the Seneca Falls Convention and shape the emerging women's suffrage movement.
-
C.
Ann Luly
Ann Luly is best known as the former wife of American comedian, actor, and director Bobcat Goldthwait.
-
D.
Elizabeth Nourse
Elizabeth Nourse was an American realist painter known for her sensitive depictions of women and rural life, who built a successful career in Paris in the late 19th and early 20th centuries.
-
E.
Ruth McDevitt
Ruth McDevitt was an American character actress known for her work on Broadway, film, and television in the mid-20th century.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2d9a24819098c8e963ee430437 |
completed | April 19, 2026, 10:46 p.m. |
Created at: April 10, 2026, 11:49 a.m.