Triple
T8866995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Koppelman |
E211041
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Sam Koppelman
Sam Koppelman is an American writer and political speechwriter known for co-authoring books with figures like Beto O’Rourke and for his work on voting rights and democracy.
|
E781754
|
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: Sam Koppelman | Statement: [Brian Koppelman, hasChild, Sam Koppelman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Koppelman Context triple: [Brian Koppelman, hasChild, Sam Koppelman]
-
A.
Josh Kesselman
Josh Kesselman is a film and television producer best known for his work as an executive producer on projects such as the series "The Great."
-
B.
Will Kopelman
Will Kopelman is an American art consultant and former actor best known for his high-profile marriage to actress Drew Barrymore.
-
C.
Jeffrey Abrams
Jeffrey Abrams is an actor known for his supporting role in the romantic comedy film "Two Weeks Notice."
-
D.
Aaron Korsh
Aaron Korsh is an American television writer and producer best known for creating the legal drama series "Suits."
-
E.
Jason Michael Berman
Jason Michael Berman is a film producer known for his work on notable independent and studio projects, including the 2023 sports drama "Air."
- 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: Sam Koppelman Triple: [Brian Koppelman, hasChild, Sam Koppelman]
Generated description
Sam Koppelman is an American writer and political speechwriter known for co-authoring books with figures like Beto O’Rourke and for his work on voting rights and democracy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sam Koppelman Target entity description: Sam Koppelman is an American writer and political speechwriter known for co-authoring books with figures like Beto O’Rourke and for his work on voting rights and democracy.
-
A.
Josh Kesselman
Josh Kesselman is a film and television producer best known for his work as an executive producer on projects such as the series "The Great."
-
B.
Will Kopelman
Will Kopelman is an American art consultant and former actor best known for his high-profile marriage to actress Drew Barrymore.
-
C.
Jeffrey Abrams
Jeffrey Abrams is an actor known for his supporting role in the romantic comedy film "Two Weeks Notice."
-
D.
Aaron Korsh
Aaron Korsh is an American television writer and producer best known for creating the legal drama series "Suits."
-
E.
Jason Michael Berman
Jason Michael Berman is a film producer known for his work on notable independent and studio projects, including the 2023 sports drama "Air."
- 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6108530c819084559f4de669ce20 |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05436de048190a884b7158f9281f7 |
completed | April 3, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_69d055fd057c81909c3af562eea4eef5 |
completed | April 4, 2026, 12:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05655a27c8190b0445476c10f57ce |
completed | April 4, 2026, 12:07 a.m. |
Created at: March 30, 2026, 6:51 p.m.