Triple
T21463344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Russell |
E529528
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Shirley Kingdon
Shirley Kingdon was the longtime wife and creative partner of British film director Ken Russell, sharing in his early career and family life.
|
E1487358
|
NE FINISHED |
How this triple was built (4 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: Shirley Kingdon | Statement: [Ken Russell, spouse, Shirley Kingdon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shirley Kingdon Context triple: [Ken Russell, spouse, Shirley Kingdon]
-
A.
Shirlie Kemp
Shirlie Kemp is an English singer best known as a backing vocalist for Wham! and as one half of the pop duo Pepsi & Shirlie.
-
B.
Helen King
Helen King was a member of the King family best known for being the sister of Leslie Lynch King Sr., the biological father of U.S. President Gerald Ford.
-
C.
Mary Kent
Mary Kent was the wife of early American colonial leader and Mayflower passenger Stephen Hopkins.
-
D.
Sheila Hailey
Sheila Hailey was a British-born writer and memoirist best known for her autobiographical works and for being married to bestselling novelist Arthur Hailey.
-
E.
Elizabeth Donkin
Elizabeth Donkin was the wife of British acting governor Sir Rufane Donkin, in whose memory the South African city of Port Elizabeth was named.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shirley Kingdon Triple: [Ken Russell, spouse, Shirley Kingdon]
Generated description
Shirley Kingdon was the longtime wife and creative partner of British film director Ken Russell, sharing in his early career and family life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shirley Kingdon Target entity description: Shirley Kingdon was the longtime wife and creative partner of British film director Ken Russell, sharing in his early career and family life.
-
A.
Shirlie Kemp
Shirlie Kemp is an English singer best known as a backing vocalist for Wham! and as one half of the pop duo Pepsi & Shirlie.
-
B.
Helen King
Helen King was a member of the King family best known for being the sister of Leslie Lynch King Sr., the biological father of U.S. President Gerald Ford.
-
C.
Mary Kent
Mary Kent was the wife of early American colonial leader and Mayflower passenger Stephen Hopkins.
-
D.
Sheila Hailey
Sheila Hailey was a British-born writer and memoirist best known for her autobiographical works and for being married to bestselling novelist Arthur Hailey.
-
E.
Elizabeth Donkin
Elizabeth Donkin was the wife of British acting governor Sir Rufane Donkin, in whose memory the South African city of Port Elizabeth was named.
- F. None of above. chosen
Provenance (5 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9efdb188190be79b72e1bd18860 |
completed | April 23, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e12ddd8481908a2aefa9f8e479ce |
completed | May 17, 2026, 3:39 p.m. |
| NEDg | Description generation | batch_6a09e1d4a6bc8190909ca0e358e35c85 |
completed | May 17, 2026, 3:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09e22dcac081909a02bbb3f74f42a9 |
completed | May 17, 2026, 3:43 p.m. |
Created at: April 16, 2026, 6:09 p.m.