Triple
T2136728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T. J. Holmes |
E46670
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Marilee Fiebig
Marilee Fiebig is an American attorney and immigration lawyer who has also worked as a fashion and entertainment industry executive.
|
E445645
|
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: Marilee Fiebig | Statement: [T. J. Holmes, spouse, Marilee Fiebig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marilee Fiebig Context triple: [T. J. Holmes, spouse, Marilee Fiebig]
-
A.
Gail Klintworth
Gail Klintworth is a business leader known for her senior roles in global consumer goods companies and her work advancing responsible, sustainable business practices.
-
B.
Margaret Engemann
Margaret Engemann was the wife of pioneering American mathematician and cybernetics founder Norbert Wiener.
-
C.
Beverly Van Zile
Beverly Van Zile is best known as the second wife of Apollo 11 astronaut Buzz Aldrin.
-
D.
Colleen Ahland
Colleen Ahland is a linguist known for her research on the Koman languages of Ethiopia and Sudan, focusing on their documentation, description, and classification.
-
E.
Ann Dusenberry
Ann Dusenberry is an American actress best known for her role in the thriller sequel "Jaws 2" and for her work in film and television during the 1970s and 1980s.
- 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: Marilee Fiebig Triple: [T. J. Holmes, spouse, Marilee Fiebig]
Generated description
Marilee Fiebig is an American attorney and immigration lawyer who has also worked as a fashion and entertainment industry executive.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marilee Fiebig Target entity description: Marilee Fiebig is an American attorney and immigration lawyer who has also worked as a fashion and entertainment industry executive.
-
A.
Gail Klintworth
Gail Klintworth is a business leader known for her senior roles in global consumer goods companies and her work advancing responsible, sustainable business practices.
-
B.
Margaret Engemann
Margaret Engemann was the wife of pioneering American mathematician and cybernetics founder Norbert Wiener.
-
C.
Beverly Van Zile
Beverly Van Zile is best known as the second wife of Apollo 11 astronaut Buzz Aldrin.
-
D.
Colleen Ahland
Colleen Ahland is a linguist known for her research on the Koman languages of Ethiopia and Sudan, focusing on their documentation, description, and classification.
-
E.
Ann Dusenberry
Ann Dusenberry is an American actress best known for her role in the thriller sequel "Jaws 2" and for her work in film and television during the 1970s and 1980s.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbdff9254819094d27405478e29a0 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bb60bff62881908ff53b9b02d9c869 |
completed | March 19, 2026, 2:34 a.m. |
| NEDg | Description generation | batch_69bb6841dd7881909e946d9965c8509c |
completed | March 19, 2026, 3:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bb68a42af4819089a6502187d6f22b |
completed | March 19, 2026, 3:08 a.m. |
Created at: March 4, 2026, 7:44 p.m.