Triple
T9110833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fresh Prince of Bel-Air |
E218596
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Susan Borowitz
Susan Borowitz is an American television writer and producer best known for co-creating the hit 1990s sitcom "The Fresh Prince of Bel-Air."
|
E810028
|
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: Susan Borowitz | Statement: [The Fresh Prince of Bel-Air, creator, Susan Borowitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Borowitz Context triple: [The Fresh Prince of Bel-Air, creator, Susan Borowitz]
-
A.
Rachel Leibowitz
Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
B.
Liz Gorinsky
Liz Gorinsky is an acclaimed science fiction and fantasy editor known for her influential work at Tor Books and for winning major genre awards.
-
C.
Suzy Weiner
Suzy Weiner is best known as the wife of legendary American Olympic swimmer Mark Spitz.
-
D.
Ellen Mirojnick
Ellen Mirojnick is an American costume designer known for her influential work on films such as "Basic Instinct" and numerous other high-profile productions.
-
E.
Susan Kohner
Susan Kohner is an American former actress best known for her Oscar-nominated role in the 1959 film "Imitation of Life."
- 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: Susan Borowitz Triple: [The Fresh Prince of Bel-Air, creator, Susan Borowitz]
Generated description
Susan Borowitz is an American television writer and producer best known for co-creating the hit 1990s sitcom "The Fresh Prince of Bel-Air."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Borowitz Target entity description: Susan Borowitz is an American television writer and producer best known for co-creating the hit 1990s sitcom "The Fresh Prince of Bel-Air."
-
A.
Rachel Leibowitz
Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
B.
Liz Gorinsky
Liz Gorinsky is an acclaimed science fiction and fantasy editor known for her influential work at Tor Books and for winning major genre awards.
-
C.
Suzy Weiner
Suzy Weiner is best known as the wife of legendary American Olympic swimmer Mark Spitz.
-
D.
Ellen Mirojnick
Ellen Mirojnick is an American costume designer known for her influential work on films such as "Basic Instinct" and numerous other high-profile productions.
-
E.
Susan Kohner
Susan Kohner is an American former actress best known for her Oscar-nominated role in the 1959 film "Imitation of Life."
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca847102881908f9d86ce9883fb1a |
completed | April 1, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d178be71188190bb9bdb719dd4d12d |
completed | April 4, 2026, 8:46 p.m. |
| NEDg | Description generation | batch_69d17a5df01081909f20c4a722cef83d |
completed | April 4, 2026, 8:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d17adb55648190b01060ade60b0fde |
completed | April 4, 2026, 8:55 p.m. |
Created at: March 30, 2026, 7:16 p.m.