Triple

T14989030
Position Surface form Disambiguated ID Type / Status
Subject To Sleep with Anger E373782 entity
Predicate castMember P1668 FINISHED
Object Ethel Ayler
Ethel Ayler was an American actress known for her work in film, television, and theater, including notable roles in productions such as "To Sleep with Anger" and "The Cosby Show."
E1133690 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: Ethel Ayler | Statement: [To Sleep with Anger, castMember, Ethel Ayler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ethel Ayler
Context triple: [To Sleep with Anger, castMember, Ethel Ayler]
  • A. Edythe Eyssell
    Edythe Eyssell was the wife of prominent Kansas City real estate developer J. C. Nichols and a member of a notable local social and civic family.
  • B. Ethel Allen
    Ethel Allen was an American physician and pioneering African American Republican politician who served on the Philadelphia City Council in the 1970s.
  • C. Ethel Wayman
    Ethel Wayman was the wife of British humorist and novelist P. G. Wodehouse.
  • D. Ethel Durant
    Ethel Durant is the daughter of historians Ariel and Will Durant, known for their influential multi-volume work "The Story of Civilization."
  • E. Ethel Smith
    Ethel Smith was the wife of American actor Ralph Bellamy, known primarily in relation to his long career in film, television, and theater.
  • 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: Ethel Ayler
Triple: [To Sleep with Anger, castMember, Ethel Ayler]
Generated description
Ethel Ayler was an American actress known for her work in film, television, and theater, including notable roles in productions such as "To Sleep with Anger" and "The Cosby Show."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ethel Ayler
Target entity description: Ethel Ayler was an American actress known for her work in film, television, and theater, including notable roles in productions such as "To Sleep with Anger" and "The Cosby Show."
  • A. Edythe Eyssell
    Edythe Eyssell was the wife of prominent Kansas City real estate developer J. C. Nichols and a member of a notable local social and civic family.
  • B. Ethel Allen
    Ethel Allen was an American physician and pioneering African American Republican politician who served on the Philadelphia City Council in the 1970s.
  • C. Ethel Wayman
    Ethel Wayman was the wife of British humorist and novelist P. G. Wodehouse.
  • D. Ethel Durant
    Ethel Durant is the daughter of historians Ariel and Will Durant, known for their influential multi-volume work "The Story of Civilization."
  • E. Ethel Smith
    Ethel Smith was the wife of American actor Ralph Bellamy, known primarily in relation to his long career in film, television, and theater.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7148a308190a687f4d0d61397c6 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dc7f4b48190b95af06d443fa37c completed May 9, 2026, 2:36 a.m.
NEDg Description generation batch_69fea0791f1c81908dcad401fa3ac245 completed May 9, 2026, 2:48 a.m.
NED2 Entity disambiguation (via description) batch_69fea11a35a88190a5ad6f261fd2d9dc completed May 9, 2026, 2:51 a.m.
Created at: April 10, 2026, 2:53 a.m.