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.