Triple
T18220889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night Court (2023 revival) |
E436299
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Dan Rubin
Dan Rubin is a television writer and producer best known for developing and executive producing the 2023 revival of the sitcom "Night Court."
|
E1339907
|
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: Dan Rubin | Statement: [Night Court (2023 revival), executiveProducer, Dan Rubin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Rubin Context triple: [Night Court (2023 revival), executiveProducer, Dan Rubin]
-
A.
Aaron D. Rubin
Aaron D. Rubin is a linguist and scholar known for his extensive research and documentation of Semitic languages, including the Mehri language.
-
B.
Jason Rubin
Jason Rubin is an American video game designer and co-founder of Naughty Dog, best known for his work on the Crash Bandicoot series.
-
C.
Danny Rubin
Danny Rubin is an American screenwriter best known for co-writing the acclaimed 1993 comedy film "Groundhog Day."
-
D.
David Rubin
David Rubin is one of the children of pioneering American astronomer Vera Rubin, known for her groundbreaking work on galaxy rotation curves and dark matter.
-
E.
David Scott Rubin
David Scott Rubin is a film producer best known for his work on the comedy movie "Soul Plane."
- 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: Dan Rubin Triple: [Night Court (2023 revival), executiveProducer, Dan Rubin]
Generated description
Dan Rubin is a television writer and producer best known for developing and executive producing the 2023 revival of the sitcom "Night Court."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Rubin Target entity description: Dan Rubin is a television writer and producer best known for developing and executive producing the 2023 revival of the sitcom "Night Court."
-
A.
Aaron D. Rubin
Aaron D. Rubin is a linguist and scholar known for his extensive research and documentation of Semitic languages, including the Mehri language.
-
B.
Jason Rubin
Jason Rubin is an American video game designer and co-founder of Naughty Dog, best known for his work on the Crash Bandicoot series.
-
C.
Danny Rubin
Danny Rubin is an American screenwriter best known for co-writing the acclaimed 1993 comedy film "Groundhog Day."
-
D.
David Rubin
David Rubin is one of the children of pioneering American astronomer Vera Rubin, known for her groundbreaking work on galaxy rotation curves and dark matter.
-
E.
David Scott Rubin
David Scott Rubin is a film producer best known for his work on the comedy movie "Soul Plane."
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47b5bfc819085c5935c08361ba9 |
completed | April 19, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05323e9c048190af9c15f0a1b2ab74 |
completed | May 14, 2026, 2:23 a.m. |
| NEDg | Description generation | batch_6a053402521c8190927afa670fb8e38e |
completed | May 14, 2026, 2:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05349009e481909fb757415468aa70 |
completed | May 14, 2026, 2:33 a.m. |
Created at: April 10, 2026, 10:32 a.m.