Triple
T13672955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Café Society |
E327796
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Adam B. Stern
Adam B. Stern is a film producer known for his work on the movie "Café Society."
|
E1101424
|
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: Adam B. Stern | Statement: [Café Society, producer, Adam B. Stern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam B. Stern Context triple: [Café Society, producer, Adam B. Stern]
-
A.
Eli Sternberg
Eli Sternberg was a prominent engineer and applied mathematician known for his influential contributions to the theory of elasticity and solid mechanics.
-
B.
Jason Blumenthal
Jason Blumenthal is an American film producer known for his work on a variety of Hollywood feature films, including the comedy-drama "Troop Zero."
-
C.
Steven Baigelman
Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
-
D.
Ben D. Waisbren
Ben D. Waisbren is a film producer known for financing and producing major studio and independent movies.
-
E.
Andrew A. Kosove
Andrew A. Kosove is an American film producer and co-founder of Alcon Entertainment, known for backing major Hollywood features across genres.
- 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: Adam B. Stern Triple: [Café Society, producer, Adam B. Stern]
Generated description
Adam B. Stern is a film producer known for his work on the movie "Café Society."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adam B. Stern Target entity description: Adam B. Stern is a film producer known for his work on the movie "Café Society."
-
A.
Eli Sternberg
Eli Sternberg was a prominent engineer and applied mathematician known for his influential contributions to the theory of elasticity and solid mechanics.
-
B.
Jason Blumenthal
Jason Blumenthal is an American film producer known for his work on a variety of Hollywood feature films, including the comedy-drama "Troop Zero."
-
C.
Steven Baigelman
Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
-
D.
Ben D. Waisbren
Ben D. Waisbren is a film producer known for financing and producing major studio and independent movies.
-
E.
Andrew A. Kosove
Andrew A. Kosove is an American film producer and co-founder of Alcon Entertainment, known for backing major Hollywood features across genres.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65aab348190a6611f5765f8392d |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6471ba348190a0cd1745daff6114 |
completed | May 8, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_69fd68f6f94881908d878d042f425d2d |
completed | May 8, 2026, 4:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd698aa8e48190b87a2758d7067b61 |
completed | May 8, 2026, 4:41 a.m. |
Created at: April 9, 2026, 9:53 p.m.