Triple
T8438786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob McDonnell |
E199295
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Maureen McDonnell
Maureen McDonnell is the former First Lady of Virginia who gained national attention due to her and her husband Bob McDonnell’s high-profile political corruption trial.
|
E783100
|
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: Maureen McDonnell | Statement: [Bob McDonnell, spouse, Maureen McDonnell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maureen McDonnell Context triple: [Bob McDonnell, spouse, Maureen McDonnell]
-
A.
Judith Kilpatrick
Judith Kilpatrick is a notable individual recognized as a prominent bearer of the surname Kilpatrick.
-
B.
Mary McCleary
Mary McCleary is best known as the wife of famed American automobile executive Lee Iacocca.
-
C.
Paula Kent Meehan
Paula Kent Meehan was an American entrepreneur and philanthropist best known as the co-founder of the professional haircare company Redken.
-
D.
Betsy McCaughey
Betsy McCaughey is an American politician, writer, and former Lieutenant Governor of New York known for her conservative commentary and opposition to certain health care reforms.
-
E.
Janet Leahy
Janet Leahy is an American television writer and producer known for her work on acclaimed series such as Mad Men.
- 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: Maureen McDonnell Triple: [Bob McDonnell, spouse, Maureen McDonnell]
Generated description
Maureen McDonnell is the former First Lady of Virginia who gained national attention due to her and her husband Bob McDonnell’s high-profile political corruption trial.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maureen McDonnell Target entity description: Maureen McDonnell is the former First Lady of Virginia who gained national attention due to her and her husband Bob McDonnell’s high-profile political corruption trial.
-
A.
Judith Kilpatrick
Judith Kilpatrick is a notable individual recognized as a prominent bearer of the surname Kilpatrick.
-
B.
Mary McCleary
Mary McCleary is best known as the wife of famed American automobile executive Lee Iacocca.
-
C.
Paula Kent Meehan
Paula Kent Meehan was an American entrepreneur and philanthropist best known as the co-founder of the professional haircare company Redken.
-
D.
Betsy McCaughey
Betsy McCaughey is an American politician, writer, and former Lieutenant Governor of New York known for her conservative commentary and opposition to certain health care reforms.
-
E.
Janet Leahy
Janet Leahy is an American television writer and producer known for her work on acclaimed series such as Mad Men.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe135657c81908ed8156fbfbef6ec |
completed | March 31, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05bdc87fc8190a5ae0883742cb08c |
completed | April 4, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_69d05d1f6e7c819091b60df086183556 |
completed | April 4, 2026, 12:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05d7827e481909c1614948a4b6c3b |
completed | April 4, 2026, 12:38 a.m. |
Created at: March 30, 2026, 6:08 p.m.