Triple
T7104332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Canning |
E165537
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Joan Scott |
E165537
|
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: Joan Scott | Statement: [George Canning, spouse, Joan Scott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan Scott Context triple: [George Canning, spouse, Joan Scott]
-
A.
Joan Scott
chosen
Joan Scott was the wife of British statesman and former Prime Minister George Canning, known primarily for her role within this prominent political family in early 19th-century Britain.
-
B.
Joan W. Scott
Joan W. Scott is an influential American historian and feminist theorist renowned for her pioneering work on gender as a category of historical analysis.
-
C.
Cynthia Enloe
Cynthia Enloe is a prominent feminist scholar and writer best known for her influential work on gender, militarism, and international politics.
-
D.
Rosemary Leith
Rosemary Leith is a Canadian-born entrepreneur and internet governance leader who co-founded the World Wide Web Foundation and serves on various boards related to technology and public policy.
-
E.
Fenella Woolgar
Fenella Woolgar is a British actress known for her work in film, television, and theatre, often appearing in period dramas and literary adaptations.
- 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e58b3f708190bebca7d4c4db40f2 |
completed | March 27, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79cad60788190bb2b17d1c3f8e1cc |
completed | March 28, 2026, 9:17 a.m. |
Created at: March 27, 2026, 2:42 p.m.