Triple
T4559736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Company Men |
E120563
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Claire Rudnick Polstein
Claire Rudnick Polstein is a film producer best known for her work on the drama feature "The Company Men."
|
E515892
|
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: Claire Rudnick Polstein | Statement: [The Company Men, producer, Claire Rudnick Polstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claire Rudnick Polstein Context triple: [The Company Men, producer, Claire Rudnick Polstein]
-
A.
Janet Margolin
Janet Margolin was an American film and television actress best known for her roles in movies such as "David and Lisa" and Woody Allen's "Annie Hall."
-
B.
Claudia Finkelstein
Claudia Finkelstein is a physician and academic known for her work in internal medicine and physician well-being.
-
C.
Elissa Durwood Grodin
Elissa Durwood Grodin is an American author known for writing mystery novels and children's books.
-
D.
Joyce Piven
Joyce Piven is an American acting teacher, director, and co-founder of the Piven Theatre Workshop, known for training numerous prominent actors including her son Jeremy Piven.
-
E.
June Preisser
June Preisser was an American film actress and dancer best known for her energetic supporting roles in 1930s and 1940s Hollywood musicals, often playing peppy, acrobatic teenagers.
- 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: Claire Rudnick Polstein Triple: [The Company Men, producer, Claire Rudnick Polstein]
Generated description
Claire Rudnick Polstein is a film producer best known for her work on the drama feature "The Company Men."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Claire Rudnick Polstein Target entity description: Claire Rudnick Polstein is a film producer best known for her work on the drama feature "The Company Men."
-
A.
Janet Margolin
Janet Margolin was an American film and television actress best known for her roles in movies such as "David and Lisa" and Woody Allen's "Annie Hall."
-
B.
Claudia Finkelstein
Claudia Finkelstein is a physician and academic known for her work in internal medicine and physician well-being.
-
C.
Elissa Durwood Grodin
Elissa Durwood Grodin is an American author known for writing mystery novels and children's books.
-
D.
Joyce Piven
Joyce Piven is an American acting teacher, director, and co-founder of the Piven Theatre Workshop, known for training numerous prominent actors including her son Jeremy Piven.
-
E.
June Preisser
June Preisser was an American film actress and dancer best known for her energetic supporting roles in 1930s and 1940s Hollywood musicals, often playing peppy, acrobatic teenagers.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd582b871c8190be0b70c76d639000 |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf28ea49588190bf1bc4cb3ca4dcee |
completed | March 21, 2026, 11:25 p.m. |
| NEDg | Description generation | batch_69bf2ad1b7e0819096b1ea7fc55401f2 |
completed | March 21, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf2b65903c8190a34d77b11dd1fa87 |
completed | March 21, 2026, 11:36 p.m. |
Created at: March 20, 2026, 1:09 p.m.