Triple
T12151390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Cato |
E289462
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Susan Cato |
E289462
|
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: Susan Cato | Statement: [Susan Cato, name, Susan Cato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Cato Context triple: [Susan Cato, name, Susan Cato]
-
A.
Susan Cato
chosen
Susan Cato is known as the wife of British antiques dealer and television personality Lennox Cato.
-
B.
Catherine Hoskins
Catherine Hoskins was an 18th-century English gentlewoman best known as the mother of William Cavendish, 4th Duke of Devonshire, a future Prime Minister of Great Britain.
-
C.
Catherine Parker
Catherine Parker was the wife of Sir John Perceval, 1st Earl of Egmont, and a member of the British aristocracy in the early 18th century.
-
D.
Catherine Jenkins
Catherine Jenkins is a Welsh mezzo-soprano singer and media personality known for her crossover classical and popular music performances.
-
E.
Catherine Reynolds
Catherine Reynolds is a notable individual distinguished enough to be recognized as a prominent bearer of the Reynolds surname.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915ae736c8190aaab05efb93c5854 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ee46e608190ac824c3c8306013e |
completed | May 2, 2026, 6:13 p.m. |
Created at: April 8, 2026, 9:49 p.m.