Triple
T10870997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kushner |
E256650
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Paul Kushner
Paul Kushner is a Canadian climate scientist and professor known for his research on atmospheric dynamics and climate variability.
|
E909763
|
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: Paul Kushner | Statement: [Kushner, hasNotableBearer, Paul Kushner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Kushner Context triple: [Kushner, hasNotableBearer, Paul Kushner]
-
A.
William Kushner
William Kushner is a poet known for his candid, emotionally direct verse that often explores queer identity and urban life.
-
B.
Donald Kushner
Donald Kushner is an American film producer best known for producing the groundbreaking science-fiction film "Tron" (1982).
-
C.
David Kushner
David Kushner is an American singer-songwriter and social media personality known for his dark, emotive pop songs such as "Daylight."
-
D.
Barney Kushner
Barney Kushner is an individual notable enough to be recognized as a prominent bearer of the surname Kushner.
-
E.
Garth Drabinsky
Garth Drabinsky is a Canadian theatrical producer and former film executive best known for staging large-scale Broadway and international productions, including the musical "Ragtime."
- 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: Paul Kushner Triple: [Kushner, hasNotableBearer, Paul Kushner]
Generated description
Paul Kushner is a Canadian climate scientist and professor known for his research on atmospheric dynamics and climate variability.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paul Kushner Target entity description: Paul Kushner is a Canadian climate scientist and professor known for his research on atmospheric dynamics and climate variability.
-
A.
William Kushner
William Kushner is a poet known for his candid, emotionally direct verse that often explores queer identity and urban life.
-
B.
Donald Kushner
Donald Kushner is an American film producer best known for producing the groundbreaking science-fiction film "Tron" (1982).
-
C.
David Kushner
David Kushner is an American singer-songwriter and social media personality known for his dark, emotive pop songs such as "Daylight."
-
D.
Barney Kushner
Barney Kushner is an individual notable enough to be recognized as a prominent bearer of the surname Kushner.
-
E.
Garth Drabinsky
Garth Drabinsky is a Canadian theatrical producer and former film executive best known for staging large-scale Broadway and international productions, including the musical "Ragtime."
- 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_69e482f327e48190ad087c232fd05609 |
completed | April 19, 2026, 7:23 a.m. |
| NEDg | Description generation | batch_69e48715bd2081908774d325db2b6dd5 |
completed | April 19, 2026, 7:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4886c0da881909105b3a45e786ce9 |
completed | April 19, 2026, 7:46 a.m. |
Created at: April 8, 2026, 9:20 p.m.