Triple
T9969769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan in Real Life |
E196174
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Brad Epstein
Brad Epstein is a film producer best known for his work on the romantic comedy-drama "Dan in Real Life."
|
E832232
|
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: Brad Epstein | Statement: [Dan in Real Life, producer, Brad Epstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brad Epstein Context triple: [Dan in Real Life, producer, Brad Epstein]
-
A.
Harold Lipstein
Harold Lipstein was an American cinematographer known for his work on mid-20th-century Hollywood films.
-
B.
Allen Rivkin
Allen Rivkin was an American screenwriter active during Hollywood’s studio era, known for his work on numerous mid-20th-century films.
-
C.
Art Podell
Art Podell is an American folk musician and songwriter best known as an early member of the popular 1960s folk group The New Christy Minstrels.
-
D.
William Margulies
William Margulies was an American cinematographer known for his work on mid-20th-century Hollywood films and television productions.
-
E.
Joe Masteroff
Joe Masteroff was an American playwright and librettist best known for writing the book for the musical "Cabaret."
- 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: Brad Epstein Triple: [Dan in Real Life, producer, Brad Epstein]
Generated description
Brad Epstein is a film producer best known for his work on the romantic comedy-drama "Dan in Real Life."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brad Epstein Target entity description: Brad Epstein is a film producer best known for his work on the romantic comedy-drama "Dan in Real Life."
-
A.
Harold Lipstein
Harold Lipstein was an American cinematographer known for his work on mid-20th-century Hollywood films.
-
B.
Allen Rivkin
Allen Rivkin was an American screenwriter active during Hollywood’s studio era, known for his work on numerous mid-20th-century films.
-
C.
Art Podell
Art Podell is an American folk musician and songwriter best known as an early member of the popular 1960s folk group The New Christy Minstrels.
-
D.
William Margulies
William Margulies was an American cinematographer known for his work on mid-20th-century Hollywood films and television productions.
-
E.
Joe Masteroff
Joe Masteroff was an American playwright and librettist best known for writing the book for the musical "Cabaret."
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7b7ea9881908a56f11e2e446dd0 |
completed | April 2, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23dc117f48190ad66dd62f9833a10 |
completed | April 5, 2026, 10:47 a.m. |
| NEDg | Description generation | batch_69d23eb2971c8190bcdbc31b4ef19816 |
completed | April 5, 2026, 10:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d240d7b7e881909183d7c33bd8cb5b |
completed | April 5, 2026, 11 a.m. |
Created at: March 30, 2026, 8:48 p.m.