Triple

T13672927
Position Surface form Disambiguated ID Type / Status
Subject Café Society E327796 entity
Predicate character P662 FINISHED
Object Rose Dorfman
Rose Dorfman is a character in Woody Allen's film "Café Society," depicted as the practical, Jewish mother of protagonist Bobby Dorfman in 1930s New York.
E1086223 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: Rose Dorfman | Statement: [Café Society, character, Rose Dorfman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rose Dorfman
Context triple: [Café Society, character, Rose Dorfman]
  • A. Muriel Singer
    Muriel Singer is a fictional character who appears in the satirical short story "The Artistic Career of Corky" by P. G. Wodehouse.
  • B. Margaret Shenberg
    Margaret Shenberg was the first wife of influential Hollywood film producer and studio executive Louis B. Mayer.
  • C. Nancy Wintner
    Nancy Wintner was a screenwriter best known for contributing the story to the 1943 musical film "The Gang's All Here."
  • D. Ilene Rosenzweig
    Ilene Rosenzweig is a writer and editor best known for co-authoring lifestyle and design books with fashion designer Cynthia Rowley.
  • E. Edna Anhalt
    Edna Anhalt was an American screenwriter best known for co-writing the Oscar-winning screenplay for the film "Panic in the Streets."
  • 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: Rose Dorfman
Triple: [Café Society, character, Rose Dorfman]
Generated description
Rose Dorfman is a character in Woody Allen's film "Café Society," depicted as the practical, Jewish mother of protagonist Bobby Dorfman in 1930s New York.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rose Dorfman
Target entity description: Rose Dorfman is a character in Woody Allen's film "Café Society," depicted as the practical, Jewish mother of protagonist Bobby Dorfman in 1930s New York.
  • A. Muriel Singer
    Muriel Singer is a fictional character who appears in the satirical short story "The Artistic Career of Corky" by P. G. Wodehouse.
  • B. Margaret Shenberg
    Margaret Shenberg was the first wife of influential Hollywood film producer and studio executive Louis B. Mayer.
  • C. Nancy Wintner
    Nancy Wintner was a screenwriter best known for contributing the story to the 1943 musical film "The Gang's All Here."
  • D. Ilene Rosenzweig
    Ilene Rosenzweig is a writer and editor best known for co-authoring lifestyle and design books with fashion designer Cynthia Rowley.
  • E. Edna Anhalt
    Edna Anhalt was an American screenwriter best known for co-writing the Oscar-winning screenplay for the film "Panic in the Streets."
  • 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_69fd19259070819089bd3caf66e5af29 completed May 7, 2026, 10:58 p.m.
NEDg Description generation batch_69fd1ad65b608190b325c82347a3d8b3 completed May 7, 2026, 11:05 p.m.
NED2 Entity disambiguation (via description) batch_69fd1b68e8288190a9e9e3d855ed2719 completed May 7, 2026, 11:08 p.m.
Created at: April 9, 2026, 9:53 p.m.