Triple
T1360145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herman Talmadge |
E29079
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Betty Talmadge
Betty Talmadge was an American political spouse, cookbook author, and influential figure in Georgia’s social and political circles during the mid-20th century.
|
E157230
|
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: Betty Talmadge | Statement: [Herman Talmadge, spouse, Betty Talmadge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Talmadge Context triple: [Herman Talmadge, spouse, Betty Talmadge]
-
A.
Mary Burwell
Mary Burwell was an English gentlewoman best known as the mother of Sir Robert Walpole, Britain’s first de facto Prime Minister.
-
B.
Dixie Lee
Dixie Lee was an American singer and actress of the early 20th century, best known for her work in film and music as well as her marriage to Bing Crosby.
-
C.
Nellie W. Carter
Nellie W. Carter was the mother of American actor and entertainer Mickey Rooney.
-
D.
Lurleen Wallace
Lurleen Wallace was an American politician who became the first female governor of Alabama, serving from 1967 until her death.
-
E.
Elizabeth Dole
Elizabeth Dole is an American politician and former U.S. senator and cabinet secretary known for her leadership roles in government and public service.
- 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: Betty Talmadge Triple: [Herman Talmadge, spouse, Betty Talmadge]
Generated description
Betty Talmadge was an American political spouse, cookbook author, and influential figure in Georgia’s social and political circles during the mid-20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Betty Talmadge Target entity description: Betty Talmadge was an American political spouse, cookbook author, and influential figure in Georgia’s social and political circles during the mid-20th century.
-
A.
Mary Burwell
Mary Burwell was an English gentlewoman best known as the mother of Sir Robert Walpole, Britain’s first de facto Prime Minister.
-
B.
Dixie Lee
Dixie Lee was an American singer and actress of the early 20th century, best known for her work in film and music as well as her marriage to Bing Crosby.
-
C.
Nellie W. Carter
Nellie W. Carter was the mother of American actor and entertainer Mickey Rooney.
-
D.
Lurleen Wallace
Lurleen Wallace was an American politician who became the first female governor of Alabama, serving from 1967 until her death.
-
E.
Elizabeth Dole
Elizabeth Dole is an American politician and former U.S. senator and cabinet secretary known for her leadership roles in government and public service.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c2b156b081909c99ada70a969fc0 |
completed | March 1, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd47d38388190856b4ae9de1e69d7 |
completed | March 8, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_69acd543a0ac8190b9fd5e921b5ad9ea |
completed | March 8, 2026, 1:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acd5b8fa2481908fd52d94e55b6377 |
completed | March 8, 2026, 1:49 a.m. |
Created at: March 1, 2026, 7:56 p.m.