Triple
T9830230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detroit (2017 film) |
E238763
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Matthew Budman
Matthew Budman is a film producer known for his work on projects such as the crime drama "Detroit" (2017).
|
E871481
|
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: Matthew Budman | Statement: [Detroit (2017 film), producer, Matthew Budman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Budman Context triple: [Detroit (2017 film), producer, Matthew Budman]
-
A.
Morton Heiligman
Morton Heiligman is an academic known for supervising the doctoral work of computer scientist and Smalltalk pioneer Adele Goldberg.
-
B.
Arthur Grossman
Arthur Grossman is the birth name of Arthur Freed, the influential American film producer and lyricist best known for his work on classic MGM musicals.
-
C.
Pandro S. Berman
Pandro S. Berman was a prominent American film producer of Hollywood’s classic era, known for overseeing numerous successful MGM and RKO pictures.
-
D.
Tom Mendelsohn
Tom Mendelsohn is an Australian man known primarily as the brother of acclaimed actor Ben Mendelsohn.
-
E.
Steven Fierberg
Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
- 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: Matthew Budman Triple: [Detroit (2017 film), producer, Matthew Budman]
Generated description
Matthew Budman is a film producer known for his work on projects such as the crime drama "Detroit" (2017).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matthew Budman Target entity description: Matthew Budman is a film producer known for his work on projects such as the crime drama "Detroit" (2017).
-
A.
Morton Heiligman
Morton Heiligman is an academic known for supervising the doctoral work of computer scientist and Smalltalk pioneer Adele Goldberg.
-
B.
Arthur Grossman
Arthur Grossman is the birth name of Arthur Freed, the influential American film producer and lyricist best known for his work on classic MGM musicals.
-
C.
Pandro S. Berman
Pandro S. Berman was a prominent American film producer of Hollywood’s classic era, known for overseeing numerous successful MGM and RKO pictures.
-
D.
Tom Mendelsohn
Tom Mendelsohn is an Australian man known primarily as the brother of acclaimed actor Ben Mendelsohn.
-
E.
Steven Fierberg
Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3282a2481908913addf2b3fa58b |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9333d2e708190b0c8ec679bcb6ade |
completed | April 10, 2026, 5:28 p.m. |
| NEDg | Description generation | batch_69d938c697f481908a93296ee7f82eae |
completed | April 10, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d940176c988190b7583ce9f2c21898 |
completed | April 10, 2026, 6:23 p.m. |
Created at: March 30, 2026, 8:32 p.m.