Triple
T13694158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbershop |
E328341
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Don D. Scott
Don D. Scott is an American screenwriter best known for writing the hit comedy film "Barbershop" and its sequel.
|
E1083322
|
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: Don D. Scott | Statement: [Barbershop, screenwriter, Don D. Scott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don D. Scott Context triple: [Barbershop, screenwriter, Don D. Scott]
-
A.
Ed Scott
Ed Scott is a technology entrepreneur best known as a co-founder of BEA Systems, a major enterprise software company later acquired by Oracle.
-
B.
Don Dodson
Don Dodson is an individual whose name is associated with or referenced by the term "Dodson."
-
C.
Jon A. McBride
Jon A. McBride is a former NASA astronaut and U.S. Navy captain who piloted the Space Shuttle Challenger on the STS-41-G mission.
-
D.
L. Scott Caldwell
L. Scott Caldwell is an American actress known for her work in television, film, and theater, including notable roles on series such as "Lost" and "Emily Owens, M.D."
-
E.
Jim Hensley
Jim Hensley was an American businessman and beer distributor best known as the founder of Hensley & Co., one of the largest Anheuser-Busch distributors in the United States.
- 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: Don D. Scott Triple: [Barbershop, screenwriter, Don D. Scott]
Generated description
Don D. Scott is an American screenwriter best known for writing the hit comedy film "Barbershop" and its sequel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Don D. Scott Target entity description: Don D. Scott is an American screenwriter best known for writing the hit comedy film "Barbershop" and its sequel.
-
A.
Ed Scott
Ed Scott is a technology entrepreneur best known as a co-founder of BEA Systems, a major enterprise software company later acquired by Oracle.
-
B.
Don Dodson
Don Dodson is an individual whose name is associated with or referenced by the term "Dodson."
-
C.
Jon A. McBride
Jon A. McBride is a former NASA astronaut and U.S. Navy captain who piloted the Space Shuttle Challenger on the STS-41-G mission.
-
D.
L. Scott Caldwell
L. Scott Caldwell is an American actress known for her work in television, film, and theater, including notable roles on series such as "Lost" and "Emily Owens, M.D."
-
E.
Jim Hensley
Jim Hensley was an American businessman and beer distributor best known as the founder of Hensley & Co., one of the largest Anheuser-Busch distributors in the United States.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8757b648190a26181efbad09a43 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7cfcf748190944ffea7582d4f66 |
completed | May 7, 2026, 8:36 p.m. |
| NEDg | Description generation | batch_69fd0141a9408190ad2503d0c18b3f77 |
completed | May 7, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd019ffff881908a9e62df81058b17 |
completed | May 7, 2026, 9:18 p.m. |
Created at: April 9, 2026, 9:54 p.m.