Triple
T1963673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Imitation Game |
E42641
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Nora Grossman
Nora Grossman is a film producer best known for her work on the acclaimed historical drama "The Imitation Game."
|
E321426
|
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: Nora Grossman | Statement: [The Imitation Game, producer, Nora Grossman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nora Grossman Context triple: [The Imitation Game, producer, Nora Grossman]
-
A.
Nina Bernstein
Nina Bernstein is the daughter of renowned American composer and conductor Leonard Bernstein, known for helping preserve and promote her father's musical legacy.
-
B.
Dinah Manoff
Dinah Manoff is an American actress and director best known for her roles in the film "Grease" and the TV series "Empty Nest."
-
C.
Ann Rosener
Ann Rosener was an American photographer best known for her documentary images of home-front life and industry during World War II, particularly through her work for U.S. government agencies.
-
D.
Claudia Finkelstein
Claudia Finkelstein is a physician and academic known for her work in internal medicine and physician well-being.
-
E.
Nancy Gross
Nancy Gross was the wife of renowned American film director Howard Hawks.
- 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: Nora Grossman Triple: [The Imitation Game, producer, Nora Grossman]
Generated description
Nora Grossman is a film producer best known for her work on the acclaimed historical drama "The Imitation Game."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nora Grossman Target entity description: Nora Grossman is a film producer best known for her work on the acclaimed historical drama "The Imitation Game."
-
A.
Nina Bernstein
Nina Bernstein is the daughter of renowned American composer and conductor Leonard Bernstein, known for helping preserve and promote her father's musical legacy.
-
B.
Dinah Manoff
Dinah Manoff is an American actress and director best known for her roles in the film "Grease" and the TV series "Empty Nest."
-
C.
Ann Rosener
Ann Rosener was an American photographer best known for her documentary images of home-front life and industry during World War II, particularly through her work for U.S. government agencies.
-
D.
Claudia Finkelstein
Claudia Finkelstein is a physician and academic known for her work in internal medicine and physician well-being.
-
E.
Nancy Gross
Nancy Gross was the wife of renowned American film director Howard Hawks.
- 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_69a88711151c8190940b2572095059d7 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3ac31a08190abaecac8badc52c7 |
completed | March 7, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1de68338c8190bf28d0a51716623a |
completed | March 11, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69b1e5153640819085c78186c2490140 |
completed | March 11, 2026, 9:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1e57c63288190a37f0d4f87c4108c |
completed | March 11, 2026, 9:58 p.m. |
Created at: March 4, 2026, 7:36 p.m.