Triple

T12292730
Position Surface form Disambiguated ID Type / Status
Subject Trevor Howard E293004 entity
Predicate spouse P13 FINISHED
Object Helen Cherry
Helen Cherry was a British actress known for her work in film, television, and theatre during the mid-20th century.
 E1070007 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 Cherry | Statement: [Trevor Howard, spouse, Helen Cherry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Helen Cherry
Context triple: [Trevor Howard, spouse, Helen Cherry]
  • A. Helen Chappel
    Helen Chappel is a central character on the sitcom "Wings," known as the sharp-tongued, ambitious airport lunch-counter worker and aspiring cellist.
  • B. Helen Melland
    Helen Melland was the wife of British Prime Minister Herbert Henry Asquith and a member of the English upper-middle class in the late 19th century.
  • C. Helen Humes
    Helen Humes was an American jazz and blues singer known for her work with Count Basie’s orchestra and her versatile, swinging vocal style.
  • D. Gillian Redfearn
    Gillian Redfearn is a prominent British science fiction and fantasy editor and publishing director, recognized for her influential work in genre publishing.
  • E. Rosalind Harris
    Rosalind Harris is an American actress best known for playing Tzeitel in the film adaptation of the musical "Fiddler on the Roof."
  • 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 Cherry
Triple: [Trevor Howard, spouse, Helen Cherry]
Generated description
Helen Cherry was a British actress known for her work in film, television, and theatre during the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Helen Cherry
Target entity description: Helen Cherry was a British actress known for her work in film, television, and theatre during the mid-20th century.
  • A. Helen Chappel
    Helen Chappel is a central character on the sitcom "Wings," known as the sharp-tongued, ambitious airport lunch-counter worker and aspiring cellist.
  • B. Helen Melland
    Helen Melland was the wife of British Prime Minister Herbert Henry Asquith and a member of the English upper-middle class in the late 19th century.
  • C. Helen Humes
    Helen Humes was an American jazz and blues singer known for her work with Count Basie’s orchestra and her versatile, swinging vocal style.
  • D. Gillian Redfearn
    Gillian Redfearn is a prominent British science fiction and fantasy editor and publishing director, recognized for her influential work in genre publishing.
  • E. Rosalind Harris
    Rosalind Harris is an American actress best known for playing Tzeitel in the film adaptation of the musical "Fiddler on the Roof."
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d22ba488190914342fa7e69e159 completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce593bbc8190827ca217f43140b9 completed May 3, 2026, 10:38 p.m.
NEDg Description generation batch_69f9fd56da288190b2bd33bc496c3fb9 completed May 5, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_69fb039fdb1c8190ad5286d1cfe80a29 completed May 6, 2026, 9:02 a.m.
Created at: April 8, 2026, 9:52 p.m.