Triple
T7747021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | April Kepner |
E175655
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Karen Kepner
Karen Kepner is a fictional character in Grey's Anatomy known as the strict, religious mother of trauma surgeon April Kepner.
|
E686126
|
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: Karen Kepner | Statement: [April Kepner, parent, Karen Kepner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Kepner Context triple: [April Kepner, parent, Karen Kepner]
-
A.
Diane Burgdorf
Diane Burgdorf is the wife of Mark Thatcher, the son of former British Prime Minister Margaret Thatcher.
-
B.
Kathy Speer
Kathy Speer is an American television writer and producer best known for her work on popular sitcoms such as The Golden Girls and its spin-off The Golden Palace.
-
C.
Carol Kenney
Carol Kenney is the optimistic, late-in-life medical intern and main character portrayed by Patricia Heaton in the sitcom "Carol's Second Act."
-
D.
Rachel Keller
Rachel Keller is an American actress known for her roles in television series such as Fargo, Legion, and Tokyo Vice.
-
E.
Kathy Reynolds
Kathy Reynolds is a central fictional character in the American Civil War television miniseries "The Blue and the Gray," around whom much of the story’s personal and emotional drama revolves.
- 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: Karen Kepner Triple: [April Kepner, parent, Karen Kepner]
Generated description
Karen Kepner is a fictional character in Grey's Anatomy known as the strict, religious mother of trauma surgeon April Kepner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karen Kepner Target entity description: Karen Kepner is a fictional character in Grey's Anatomy known as the strict, religious mother of trauma surgeon April Kepner.
-
A.
Diane Burgdorf
Diane Burgdorf is the wife of Mark Thatcher, the son of former British Prime Minister Margaret Thatcher.
-
B.
Kathy Speer
Kathy Speer is an American television writer and producer best known for her work on popular sitcoms such as The Golden Girls and its spin-off The Golden Palace.
-
C.
Carol Kenney
Carol Kenney is the optimistic, late-in-life medical intern and main character portrayed by Patricia Heaton in the sitcom "Carol's Second Act."
-
D.
Rachel Keller
Rachel Keller is an American actress known for her roles in television series such as Fargo, Legion, and Tokyo Vice.
-
E.
Kathy Reynolds
Kathy Reynolds is a central fictional character in the American Civil War television miniseries "The Blue and the Gray," around whom much of the story’s personal and emotional drama revolves.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7038caa64819084f61b42a73c2d8b |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be50ac4881909b537f513bed2edd |
completed | March 29, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69c8bf9e93bc8190a4764967c06de4af |
completed | March 29, 2026, 5:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c01bf3f08190a0071eff2c412e6e |
completed | March 29, 2026, 6:01 a.m. |
Created at: March 27, 2026, 4:08 p.m.