Triple

T19796884
Position Surface form Disambiguated ID Type / Status
Subject Cy Feuer E475565 entity
Predicate spouse P13 FINISHED
Object Posy Greenberg
Posy Greenberg was the wife of Broadway producer and director Cy Feuer, known primarily in connection with his theatrical career and personal life.
 E1426672 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: Posy Greenberg | Statement: [Cy Feuer, spouse, Posy Greenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Posy Greenberg
Context triple: [Cy Feuer, spouse, Posy Greenberg]
  • A. Sally Greenberg
    Sally Greenberg is a consumer rights advocate and attorney who serves as a leading executive of the National Consumers League, focusing on protecting and promoting consumer interests.
  • B. Helen Greenberg
    Helen Greenberg is an actress known for appearing in the American television sitcom "Dharma & Greg."
  • C. Ilene Rosenzweig
    Ilene Rosenzweig is a writer and editor best known for co-authoring lifestyle and design books with fashion designer Cynthia Rowley.
  • D. Mona Greenberg
    Mona Greenberg was the longtime wife of acclaimed American actor Karl Malden.
  • E. Ilene Chaiken
    Ilene Chaiken is an American television writer and producer best known as the creator of "The L Word" and a key creative force behind several high-profile drama series.
  • 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: Posy Greenberg
Triple: [Cy Feuer, spouse, Posy Greenberg]
Generated description
Posy Greenberg was the wife of Broadway producer and director Cy Feuer, known primarily in connection with his theatrical career and personal life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Posy Greenberg
Target entity description: Posy Greenberg was the wife of Broadway producer and director Cy Feuer, known primarily in connection with his theatrical career and personal life.
  • A. Sally Greenberg
    Sally Greenberg is a consumer rights advocate and attorney who serves as a leading executive of the National Consumers League, focusing on protecting and promoting consumer interests.
  • B. Helen Greenberg
    Helen Greenberg is an actress known for appearing in the American television sitcom "Dharma & Greg."
  • C. Ilene Rosenzweig
    Ilene Rosenzweig is a writer and editor best known for co-authoring lifestyle and design books with fashion designer Cynthia Rowley.
  • D. Mona Greenberg
    Mona Greenberg was the longtime wife of acclaimed American actor Karl Malden.
  • E. Ilene Chaiken
    Ilene Chaiken is an American television writer and producer best known as the creator of "The L Word" and a key creative force behind several high-profile drama series.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c723548190ac9bfaecaf8afb13 completed April 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087069ce008190b409e7ba9beba1dc completed May 16, 2026, 1:26 p.m.
NEDg Description generation batch_6a0870fd8b8c8190ac7ac5d2b0d9e8c4 completed May 16, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_6a087213a0408190a9b553323d7ced1f completed May 16, 2026, 1:33 p.m.
Created at: April 10, 2026, 1:49 p.m.