Triple
T18778561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maxine Waters |
E459192
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Karen Waters
Karen Waters is an American political consultant and the daughter of longtime U.S. Representative Maxine Waters.
|
E1342999
|
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 Waters | Statement: [Maxine Waters, relative, Karen Waters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Waters Context triple: [Maxine Waters, relative, Karen Waters]
-
A.
Karen Roe
Karen Roe is a central character on the television series "One Tree Hill," known as Lucas Scott’s caring and resilient single mother and a key figure in the show's community.
-
B.
Karen Fergusson
Karen Fergusson is an actress known for her role in the acclaimed New Zealand biographical drama film "An Angel at My Table."
-
C.
Karen Lewis
Karen Lewis is a British television producer best known for her work on acclaimed drama series such as "Last Tango in Halifax."
-
D.
Karen Lewis
Karen Lewis is a television producer known for her work on the British drama series "Years and Years."
-
E.
Karen Lewis
Karen Lewis is a film and television producer known for her work on the project "Exile."
- 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 Waters Triple: [Maxine Waters, relative, Karen Waters]
Generated description
Karen Waters is an American political consultant and the daughter of longtime U.S. Representative Maxine Waters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karen Waters Target entity description: Karen Waters is an American political consultant and the daughter of longtime U.S. Representative Maxine Waters.
-
A.
Karen Roe
Karen Roe is a central character on the television series "One Tree Hill," known as Lucas Scott’s caring and resilient single mother and a key figure in the show's community.
-
B.
Karen Fergusson
Karen Fergusson is an actress known for her role in the acclaimed New Zealand biographical drama film "An Angel at My Table."
-
C.
Karen Lewis
Karen Lewis is a British television producer best known for her work on acclaimed drama series such as "Last Tango in Halifax."
-
D.
Karen Lewis
Karen Lewis is a television producer known for her work on the British drama series "Years and Years."
-
E.
Karen Lewis
Karen Lewis is a film and television producer known for her work on the project "Exile."
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5933d2d048190a42480edc70bf086 |
completed | April 20, 2026, 2:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05471411a88190991c5ed251f515be |
completed | May 14, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_6a054ad66f608190be441b0cfcf609a4 |
completed | May 14, 2026, 4:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a054b952560819090f1b99a87b8a24c |
completed | May 14, 2026, 4:12 a.m. |
Created at: April 10, 2026, 11:52 a.m.