Triple
T10871001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kushner |
E256650
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Judith Kushner
Judith Kushner is a notable individual who shares the Kushner surname, recognized enough to be specifically cited as a bearer of the name.
|
E915797
|
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 Kushner | Statement: [Kushner, hasNotableBearer, Judith Kushner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judith Kushner Context triple: [Kushner, hasNotableBearer, Judith Kushner]
-
A.
Judith Kaye
Judith Kaye was a pioneering American jurist who became the first woman and longest-serving Chief Judge of the New York Court of Appeals.
-
B.
Seryl Kushner
Seryl Kushner is an American businesswoman and matriarch of the Kushner family, best known as the mother of real estate investor and former presidential advisor Jared Kushner.
-
C.
Rachel Leibowitz
Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
D.
Judith Gellman
Judith Gellman is a costume designer best known for her work on the 1995 film adaptation of "A Little Princess."
-
E.
Nancy Kushner
Nancy Kushner is a notable individual who shares the Kushner surname, recognized enough to be specifically cited as a bearer of the name.
- 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 Kushner Triple: [Kushner, hasNotableBearer, Judith Kushner]
Generated description
Judith Kushner is a notable individual who shares the Kushner surname, recognized enough to be specifically cited as a bearer of the name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Judith Kushner Target entity description: Judith Kushner is a notable individual who shares the Kushner surname, recognized enough to be specifically cited as a bearer of the name.
-
A.
Judith Kaye
Judith Kaye was a pioneering American jurist who became the first woman and longest-serving Chief Judge of the New York Court of Appeals.
-
B.
Seryl Kushner
Seryl Kushner is an American businesswoman and matriarch of the Kushner family, best known as the mother of real estate investor and former presidential advisor Jared Kushner.
-
C.
Rachel Leibowitz
Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
D.
Judith Gellman
Judith Gellman is a costume designer best known for her work on the 1995 film adaptation of "A Little Princess."
-
E.
Nancy Kushner
Nancy Kushner is a notable individual who shares the Kushner surname, recognized enough to be specifically cited as a bearer of the name.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75186e75c8190bf046ea666faff54 |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f34d1e108190ad281dae6c92634e |
completed | April 19, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69e4f9596e1081908e7b319f77453438 |
completed | April 19, 2026, 3:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4ff4645948190a2bfcc3a4efd8e2a |
completed | April 19, 2026, 4:13 p.m. |
Created at: April 8, 2026, 9:20 p.m.