Triple
T2421255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Lieberman |
E53421
|
entity |
| Predicate | previousSpouse |
P493
|
FINISHED |
| Object |
Betty Haas
Betty Haas is known as the former wife of American politician and longtime U.S. Senator Joe Lieberman.
|
E321316
|
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: Betty Haas | Statement: [Joe Lieberman, previousSpouse, Betty Haas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Haas Context triple: [Joe Lieberman, previousSpouse, Betty Haas]
-
A.
Dorothy Goetz
Dorothy Goetz was the first wife of American composer Irving Berlin, remembered largely for her brief marriage and early death, which deeply influenced his later work.
-
B.
Betty Dahl
Betty Dahl was the wife of influential American political scientist Robert A. Dahl.
-
C.
Dorothy Herzka
Dorothy Herzka is an American art professional best known as the wife and longtime partner of pop artist Roy Lichtenstein, with whom she was deeply involved in the contemporary art world.
-
D.
June Hovick
June Hovick, better known as June Havoc, was an American actress, dancer, and writer whose early life as a child vaudeville performer inspired the musical "Gypsy."
-
E.
Barbara Leeds
Barbara Leeds was an American actress best known for her film and television work in the mid-20th century.
- 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: Betty Haas Triple: [Joe Lieberman, previousSpouse, Betty Haas]
Generated description
Betty Haas is known as the former wife of American politician and longtime U.S. Senator Joe Lieberman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Betty Haas Target entity description: Betty Haas is known as the former wife of American politician and longtime U.S. Senator Joe Lieberman.
-
A.
Dorothy Goetz
Dorothy Goetz was the first wife of American composer Irving Berlin, remembered largely for her brief marriage and early death, which deeply influenced his later work.
-
B.
Betty Dahl
Betty Dahl was the wife of influential American political scientist Robert A. Dahl.
-
C.
Dorothy Herzka
Dorothy Herzka is an American art professional best known as the wife and longtime partner of pop artist Roy Lichtenstein, with whom she was deeply involved in the contemporary art world.
-
D.
June Hovick
June Hovick, better known as June Havoc, was an American actress, dancer, and writer whose early life as a child vaudeville performer inspired the musical "Gypsy."
-
E.
Barbara Leeds
Barbara Leeds was an American actress best known for her film and television work in the mid-20th century.
- 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc96f97e08190978b2d873ab88859 |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1de74f20881909e69b7fba1c4abaa |
completed | March 11, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69b1e534c86c8190b600dd5eeea18de4 |
completed | March 11, 2026, 9:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1e586504c81908491ab906c22999c |
completed | March 11, 2026, 9:58 p.m. |
Created at: March 6, 2026, 9:42 p.m.