Triple

T9818872
Position Surface form Disambiguated ID Type / Status
Subject Lee J. Cobb E238475 entity
Predicate spouse P13 FINISHED
Object Helen Beverley
Helen Beverley was an American film and stage actress best known for her work in Yiddish cinema in the 1930s and 1940s.
 E909721 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: Helen Beverley | Statement: [Lee J. Cobb, spouse, Helen Beverley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Helen Beverley
Context triple: [Lee J. Cobb, spouse, Helen Beverley]
  • A. Helen Graham
    Helen Graham is the resilient and independent heroine of Anne Brontë’s novel "The Tenant of Wildfell Hall," known for fleeing an abusive marriage to protect herself and her child.
  • B. Helen Dawson
    Helen Dawson was the wife of British playwright John Osborne, associated with his personal life during his early career.
  • C. Helen Wright
    Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
  • D. Helen Brown
    Helen Brown is an actress known for her role in the classic "The Twilight Zone" episode "Walking Distance."
  • E. Helen Willis
    Helen Willis is a central character on the sitcom "The Jeffersons," known as Louise Jefferson’s close friend and one half of the show’s groundbreaking interracial couple.
  • 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: Helen Beverley
Triple: [Lee J. Cobb, spouse, Helen Beverley]
Generated description
Helen Beverley was an American film and stage actress best known for her work in Yiddish cinema in the 1930s and 1940s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Helen Beverley
Target entity description: Helen Beverley was an American film and stage actress best known for her work in Yiddish cinema in the 1930s and 1940s.
  • A. Helen Graham
    Helen Graham is the resilient and independent heroine of Anne Brontë’s novel "The Tenant of Wildfell Hall," known for fleeing an abusive marriage to protect herself and her child.
  • B. Helen Dawson
    Helen Dawson was the wife of British playwright John Osborne, associated with his personal life during his early career.
  • C. Helen Wright
    Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
  • D. Helen Brown
    Helen Brown is an actress known for her role in the classic "The Twilight Zone" episode "Walking Distance."
  • E. Helen Willis
    Helen Willis is a central character on the sitcom "The Jeffersons," known as Louise Jefferson’s close friend and one half of the show’s groundbreaking interracial couple.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f74e348190be8e4394ae6fe3fe completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69e482d55a04819090d95f7a4abb6e29 completed April 19, 2026, 7:23 a.m.
NEDg Description generation batch_69e485f46f0c81908dbe5b47322ab7b7 completed April 19, 2026, 7:36 a.m.
NED2 Entity disambiguation (via description) batch_69e4878dd95c81908ceaf91ee46f49c1 completed April 19, 2026, 7:43 a.m.
Created at: March 30, 2026, 8:31 p.m.