Triple
T19746569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cartersville High School |
E474265
|
entity |
| Predicate | hasNotableAlumnus |
P51
|
FINISHED |
| Object | Ronald L. Ramsey Sr. |
—
|
NE NERFINISHED |
How this triple was built (3 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: Ronald L. Ramsey Sr. | Statement: [Cartersville High School, hasNotableAlumnus, Ronald L. Ramsey Sr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronald L. Ramsey Sr. Context triple: [Cartersville High School, hasNotableAlumnus, Ronald L. Ramsey Sr.]
-
A.
Ronald Hines
Ronald Hines was a British character actor known for his extensive work in film and television from the mid-20th century onward.
-
B.
Philip M. Landrum
Philip M. Landrum was an American congressman from Georgia best known as a co-author of the Labor-Management Reporting and Disclosure Act of 1959 (the Landrum–Griffin Act), which regulated labor unions and their internal affairs.
-
C.
Ronald J. Williams
Ronald J. Williams is a computer scientist known for his influential contributions to neural networks and machine learning, particularly in the development of backpropagation and reinforcement learning algorithms.
-
D.
James H. Dillard
James H. Dillard was an American educator and philanthropist known for his leadership in advancing education for African Americans in the U.S. South in the late 19th and early 20th centuries.
-
E.
Stanley M. Rumbough Jr.
Stanley M. Rumbough Jr. was an American businessman, philanthropist, and political activist, known as an heir to the Colgate-Palmolive fortune and for his prominent role in mid-20th-century Republican politics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ronald L. Ramsey Sr. Target entity description: Ronald L. Ramsey Sr. is an American politician and attorney who served as a Democratic member of the Georgia State Senate.
-
A.
Ronald Hines
Ronald Hines was a British character actor known for his extensive work in film and television from the mid-20th century onward.
-
B.
Philip M. Landrum
Philip M. Landrum was an American congressman from Georgia best known as a co-author of the Labor-Management Reporting and Disclosure Act of 1959 (the Landrum–Griffin Act), which regulated labor unions and their internal affairs.
-
C.
Ronald J. Williams
Ronald J. Williams is a computer scientist known for his influential contributions to neural networks and machine learning, particularly in the development of backpropagation and reinforcement learning algorithms.
-
D.
James H. Dillard
James H. Dillard was an American educator and philanthropist known for his leadership in advancing education for African Americans in the U.S. South in the late 19th and early 20th centuries.
-
E.
Stanley M. Rumbough Jr.
Stanley M. Rumbough Jr. was an American businessman, philanthropist, and political activist, known as an heir to the Colgate-Palmolive fortune and for his prominent role in mid-20th-century Republican politics.
- F. None of above. chosen
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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65294b4008190818eda40630f4147 |
completed | April 20, 2026, 4:21 p.m. |
Created at: April 10, 2026, 1:47 p.m.