Triple
T10870990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kushner |
E256650
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
William Kushner
William Kushner is a poet known for his candid, emotionally direct verse that often explores queer identity and urban life.
|
E893221
|
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: William Kushner | Statement: [Kushner, hasNotableBearer, William Kushner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Kushner Context triple: [Kushner, hasNotableBearer, William Kushner]
-
A.
Robert Engelman
Robert Engelman is a film producer known for his work on major Hollywood genre films, including action, science fiction, and fantasy projects.
-
B.
Andrew Mack
Andrew Mack is an American entrepreneur best known as the co-founder of the specialty tea retailer Teavana.
-
C.
Aaron Kandell
Aaron Kandell is an American screenwriter best known for co-writing Disney's animated feature film "Moana."
-
D.
David Kushner
David Kushner is an American singer-songwriter and social media personality known for his dark, emotive pop songs such as "Daylight."
-
E.
Will Kopelman
Will Kopelman is an American art consultant and former actor best known for his high-profile marriage to actress Drew Barrymore.
- 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: William Kushner Triple: [Kushner, hasNotableBearer, William Kushner]
Generated description
William Kushner is a poet known for his candid, emotionally direct verse that often explores queer identity and urban life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: William Kushner Target entity description: William Kushner is a poet known for his candid, emotionally direct verse that often explores queer identity and urban life.
-
A.
Robert Engelman
Robert Engelman is a film producer known for his work on major Hollywood genre films, including action, science fiction, and fantasy projects.
-
B.
Andrew Mack
Andrew Mack is an American entrepreneur best known as the co-founder of the specialty tea retailer Teavana.
-
C.
Aaron Kandell
Aaron Kandell is an American screenwriter best known for co-writing Disney's animated feature film "Moana."
-
D.
David Kushner
David Kushner is an American singer-songwriter and social media personality known for his dark, emotive pop songs such as "Daylight."
-
E.
Will Kopelman
Will Kopelman is an American art consultant and former actor best known for his high-profile marriage to actress Drew Barrymore.
- 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_69e2168b4ba48190b68955ec17a5607b |
completed | April 17, 2026, 11:16 a.m. |
| NEDg | Description generation | batch_69e21d860d288190855ffbe60df50df9 |
completed | April 17, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e21f09be508190a7c497a7680cb59e |
completed | April 17, 2026, 11:52 a.m. |
Created at: April 8, 2026, 9:20 p.m.