Triple
T2882716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudy Giuliani |
E59433
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Judith Nathan
Judith Nathan is an American former nurse and political figure best known as the third wife of former New York City mayor Rudy Giuliani.
|
E310627
|
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: Judith Nathan | Statement: [Rudy Giuliani, spouse, Judith Nathan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judith Nathan Context triple: [Rudy Giuliani, spouse, Judith Nathan]
-
A.
Einat Kalisch-Rotem
Einat Kalisch-Rotem is an Israeli urban planner and politician who became the first female mayor of Haifa.
-
B.
Helene Shapiro
Helene Shapiro is an American mathematician known for her work in linear algebra and matrix theory, and as a student of Olga Taussky-Todd.
-
C.
Orna Grumberg
Orna Grumberg is a prominent computer scientist known for her contributions to formal verification and model checking.
-
D.
Shulamit Shamir
Shulamit Shamir was an Israeli public figure and social activist, best known as the wife of former Prime Minister Yitzhak Shamir and for her work on behalf of the elderly and Holocaust survivors.
-
E.
Miriam Bienstock
Miriam Bienstock was an American music industry executive and co-founder of Atlantic Records who played a key role in shaping the label’s early business operations and success.
- 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: Judith Nathan Triple: [Rudy Giuliani, spouse, Judith Nathan]
Generated description
Judith Nathan is an American former nurse and political figure best known as the third wife of former New York City mayor Rudy Giuliani.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Judith Nathan Target entity description: Judith Nathan is an American former nurse and political figure best known as the third wife of former New York City mayor Rudy Giuliani.
-
A.
Einat Kalisch-Rotem
Einat Kalisch-Rotem is an Israeli urban planner and politician who became the first female mayor of Haifa.
-
B.
Helene Shapiro
Helene Shapiro is an American mathematician known for her work in linear algebra and matrix theory, and as a student of Olga Taussky-Todd.
-
C.
Orna Grumberg
Orna Grumberg is a prominent computer scientist known for her contributions to formal verification and model checking.
-
D.
Shulamit Shamir
Shulamit Shamir was an Israeli public figure and social activist, best known as the wife of former Prime Minister Yitzhak Shamir and for her work on behalf of the elderly and Holocaust survivors.
-
E.
Miriam Bienstock
Miriam Bienstock was an American music industry executive and co-founder of Atlantic Records who played a key role in shaping the label’s early business operations and success.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe02c238881908f7a349563c388bf |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b055f2d72c8190b81b2b0b3093ae57 |
completed | March 10, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69b0642692f0819089b65a84b3596627 |
completed | March 10, 2026, 6:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b064788ac88190a42f52ac8ace85fd |
completed | March 10, 2026, 6:35 p.m. |
Created at: March 6, 2026, 10:03 p.m.