Triple
T8451108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Great Debaters |
E199799
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Kate Forte
Kate Forte is a film and television producer best known for her work on projects such as the drama film "The Great Debaters."
|
E836589
|
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: Kate Forte | Statement: [The Great Debaters, producer, Kate Forte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Forte Context triple: [The Great Debaters, producer, Kate Forte]
-
A.
Amy Ferson
Amy Ferson is an American journalist and commentator best known as the first wife of television personality and news anchor T. J. Holmes.
-
B.
Mary Brodbar
Mary Brodbar was the second wife of architect William Wesley Peters, a close associate and son-in-law of Frank Lloyd Wright.
-
C.
Kate Garvey
Kate Garvey is a British public relations executive and former political aide, known for her work with Tony Blair and her marriage to Wikipedia co-founder Jimmy Wales.
-
D.
Emily Woodruff
Emily Woodruff was the wife of Canadian-American actor Hume Cronyn and is primarily known for her connection to his life and career.
-
E.
Betsy Rue
Betsy Rue is an American actress best known for her roles in horror and thriller films, including her appearance in the slasher movie "My Bloody Valentine 3D."
- 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: Kate Forte Triple: [The Great Debaters, producer, Kate Forte]
Generated description
Kate Forte is a film and television producer best known for her work on projects such as the drama film "The Great Debaters."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kate Forte Target entity description: Kate Forte is a film and television producer best known for her work on projects such as the drama film "The Great Debaters."
-
A.
Amy Ferson
Amy Ferson is an American journalist and commentator best known as the first wife of television personality and news anchor T. J. Holmes.
-
B.
Mary Brodbar
Mary Brodbar was the second wife of architect William Wesley Peters, a close associate and son-in-law of Frank Lloyd Wright.
-
C.
Kate Garvey
Kate Garvey is a British public relations executive and former political aide, known for her work with Tony Blair and her marriage to Wikipedia co-founder Jimmy Wales.
-
D.
Emily Woodruff
Emily Woodruff was the wife of Canadian-American actor Hume Cronyn and is primarily known for her connection to his life and career.
-
E.
Betsy Rue
Betsy Rue is an American actress best known for her roles in horror and thriller films, including her appearance in the slasher movie "My Bloody Valentine 3D."
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe44815488190a912d63512e19af0 |
completed | March 31, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d28161b6ec8190ab91f7b00995e889 |
completed | April 5, 2026, 3:36 p.m. |
| NEDg | Description generation | batch_69d282fd10248190a1a0b4573b2065ae |
completed | April 5, 2026, 3:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d283d0e1748190a0c65bbaa8e8348e |
completed | April 5, 2026, 3:46 p.m. |
Created at: March 30, 2026, 6:09 p.m.