Triple
T1951940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Draft Day |
E42177
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Scott Rothman
Scott Rothman is an American screenwriter best known for co-writing the sports drama film "Draft Day."
|
E317957
|
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: Scott Rothman | Statement: [Draft Day, screenwriter, Scott Rothman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Rothman Context triple: [Draft Day, screenwriter, Scott Rothman]
-
A.
Chris Malachowsky
Chris Malachowsky is an American engineer and entrepreneur best known as a co-founder of NVIDIA, a leading technology company in graphics processing and AI computing.
-
B.
Mark Rosenberg
Mark Rosenberg was an American film producer known for his work on notable movies of the 1980s and early 1990s.
-
C.
Johnny Gandelsman
Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
-
D.
Jay O. Rothman
Jay O. Rothman is an American attorney and academic leader who serves as president of the University of Wisconsin System.
-
E.
Nat Mauldin
Nat Mauldin is an American screenwriter and television writer known for his work on family-oriented films and popular TV comedies.
- 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: Scott Rothman Triple: [Draft Day, screenwriter, Scott Rothman]
Generated description
Scott Rothman is an American screenwriter best known for co-writing the sports drama film "Draft Day."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scott Rothman Target entity description: Scott Rothman is an American screenwriter best known for co-writing the sports drama film "Draft Day."
-
A.
Chris Malachowsky
Chris Malachowsky is an American engineer and entrepreneur best known as a co-founder of NVIDIA, a leading technology company in graphics processing and AI computing.
-
B.
Mark Rosenberg
Mark Rosenberg was an American film producer known for his work on notable movies of the 1980s and early 1990s.
-
C.
Johnny Gandelsman
Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
-
D.
Jay O. Rothman
Jay O. Rothman is an American attorney and academic leader who serves as president of the University of Wisconsin System.
-
E.
Nat Mauldin
Nat Mauldin is an American screenwriter and television writer known for his work on family-oriented films and popular TV comedies.
- 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb34eb5748190a3ac395252951eba |
completed | March 7, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12de0989481909ce71f3fb739ac2a |
completed | March 11, 2026, 8:54 a.m. |
| NEDg | Description generation | batch_69b12e9293a481908e9344041d0bba15 |
completed | March 11, 2026, 8:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1c69defa48190916c455a35631037 |
completed | March 11, 2026, 7:46 p.m. |
Created at: March 4, 2026, 7:36 p.m.