Triple
T2322220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jared Kushner |
E48207
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kushner
Kushner is a surname most prominently associated with Jared Kushner, an American real estate investor and former senior advisor to President Donald Trump.
|
E256650
|
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: Kushner | Statement: [Jared Kushner, familyName, Kushner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kushner Context triple: [Jared Kushner, familyName, Kushner]
-
A.
Buckley
Buckley is a surname most prominently associated with William F. Buckley Jr., the influential American conservative author and founder of National Review.
-
B.
Krueger
Krueger is a German-origin surname borne by numerous notable individuals across fields such as military, politics, arts, and academia.
-
C.
Rubin
Rubin is a surname most famously associated with American astronomer Vera Rubin, whose work on galaxy rotation curves provided key evidence for the existence of dark matter.
-
D.
Reid
Reid is a common Scottish and Irish surname that has been borne by numerous notable figures across fields such as science, politics, and the arts.
-
E.
Weiner
Weiner is a surname of Germanic origin borne by various notable individuals across fields such as business, politics, and entertainment.
- 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: Kushner Triple: [Jared Kushner, familyName, Kushner]
Generated description
Kushner is a surname most prominently associated with Jared Kushner, an American real estate investor and former senior advisor to President Donald Trump.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kushner Target entity description: Kushner is a surname most prominently associated with Jared Kushner, an American real estate investor and former senior advisor to President Donald Trump.
-
A.
Buckley
Buckley is a surname most prominently associated with William F. Buckley Jr., the influential American conservative author and founder of National Review.
-
B.
Krueger
Krueger is a German-origin surname borne by numerous notable individuals across fields such as military, politics, arts, and academia.
-
C.
Rubin
Rubin is a surname most famously associated with American astronomer Vera Rubin, whose work on galaxy rotation curves provided key evidence for the existence of dark matter.
-
D.
Reid
Reid is a common Scottish and Irish surname that has been borne by numerous notable figures across fields such as science, politics, and the arts.
-
E.
Weiner
Weiner is a surname of Germanic origin borne by various notable individuals across fields such as business, politics, and entertainment.
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc6337e948190bb4860f7045914e1 |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae896b357c8190a6cdf99d5292037e |
completed | March 9, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69ae8e8263a08190a0950dbb1336df70 |
completed | March 9, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8f9fe79c819080062587aed27379 |
completed | March 9, 2026, 9:15 a.m. |
Created at: March 4, 2026, 7:49 p.m.