Triple
T12670809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Mantegna |
E302674
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Arlene Vrhel
Arlene Vrhel is an American restaurateur best known as the longtime wife of actor Joe Mantegna.
|
E1003884
|
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: Arlene Vrhel | Statement: [Joe Mantegna, spouse, Arlene Vrhel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arlene Vrhel Context triple: [Joe Mantegna, spouse, Arlene Vrhel]
-
A.
Marlene Knaus
Marlene Knaus is an Austrian former model best known as the ex-wife of Formula One legend Niki Lauda.
-
B.
Vicki Sirotta
Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
-
C.
Eileen Herlie
Eileen Herlie was a Scottish-American actress best known for her classical stage work and prominent film and television roles, including notable Shakespearean performances.
-
D.
Arlene Carol Dahl
Arlene Carol Dahl was an American actress and former MGM contract star best known for her glamorous roles in 1940s–1950s Hollywood films and later work as a beauty and fashion entrepreneur.
-
E.
Eileen Detchon
Eileen Detchon was the longtime wife of American actor Harry Morgan, with whom she shared a marriage that lasted several decades until her death.
- 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: Arlene Vrhel Triple: [Joe Mantegna, spouse, Arlene Vrhel]
Generated description
Arlene Vrhel is an American restaurateur best known as the longtime wife of actor Joe Mantegna.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arlene Vrhel Target entity description: Arlene Vrhel is an American restaurateur best known as the longtime wife of actor Joe Mantegna.
-
A.
Marlene Knaus
Marlene Knaus is an Austrian former model best known as the ex-wife of Formula One legend Niki Lauda.
-
B.
Vicki Sirotta
Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
-
C.
Eileen Herlie
Eileen Herlie was a Scottish-American actress best known for her classical stage work and prominent film and television roles, including notable Shakespearean performances.
-
D.
Arlene Carol Dahl
Arlene Carol Dahl was an American actress and former MGM contract star best known for her glamorous roles in 1940s–1950s Hollywood films and later work as a beauty and fashion entrepreneur.
-
E.
Eileen Detchon
Eileen Detchon was the longtime wife of American actor Harry Morgan, with whom she shared a marriage that lasted several decades until her death.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96183a6048190b2ef219eb9d20aa4 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ead66bc819099c8d274d69a2022 |
completed | May 2, 2026, 11:54 p.m. |
| NEDg | Description generation | batch_69f68fdd389881909e2132e3ce95d553 |
completed | May 2, 2026, 11:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69033a66481908bf4ae23fced5983 |
completed | May 3, 2026, midnight |
Created at: April 9, 2026, 5:20 p.m.