Triple

T9321888
Position Surface form Disambiguated ID Type / Status
Subject Ian Keith E224284 entity
Predicate spouse P13 FINISHED
Object Ethel Clayton
Ethel Clayton was an American actress best known for her work in silent films during the early 20th century.
E832437 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 Clayton | Statement: [Ian Keith, spouse, Ethel Clayton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ethel Clayton
Context triple: [Ian Keith, spouse, Ethel Clayton]
  • A. 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.
  • B. Ethel Griffies
    Ethel Griffies was a British stage and film actress known for her prolific character roles in both silent and sound cinema, including appearances in classic Hollywood films.
  • C. Mabel Ray Willis
    Mabel Ray Willis is the daughter of American actor Bruce Willis and model Emma Heming Willis.
  • D. Clara Clayton
    Clara Clayton is a schoolteacher from the Old West and Doc Brown’s love interest in the film "Back to the Future Part III."
  • E. Marie Tillman
    Marie Tillman is an American philanthropist and founder of the Pat Tillman Foundation, established to honor the legacy of her late husband, NFL player and Army Ranger Pat Tillman, by supporting military veterans and their families through educational scholarships.
  • 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 Clayton
Triple: [Ian Keith, spouse, Ethel Clayton]
Generated description
Ethel Clayton was an American actress best known for her work in silent films during the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ethel Clayton
Target entity description: Ethel Clayton was an American actress best known for her work in silent films during the early 20th century.
  • A. 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.
  • B. Ethel Griffies
    Ethel Griffies was a British stage and film actress known for her prolific character roles in both silent and sound cinema, including appearances in classic Hollywood films.
  • C. Mabel Ray Willis
    Mabel Ray Willis is the daughter of American actor Bruce Willis and model Emma Heming Willis.
  • D. Clara Clayton
    Clara Clayton is a schoolteacher from the Old West and Doc Brown’s love interest in the film "Back to the Future Part III."
  • E. Marie Tillman
    Marie Tillman is an American philanthropist and founder of the Pat Tillman Foundation, established to honor the legacy of her late husband, NFL player and Army Ranger Pat Tillman, by supporting military veterans and their families through educational scholarships.
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd36f2bd288190bb1556a88d9e90f3 completed April 1, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d23c8f14b081909df4eae9b2d16860 completed April 5, 2026, 10:42 a.m.
NEDg Description generation batch_69d23e6ca3908190b7ad7b932ab35ad7 completed April 5, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_69d241020074819092bc2deea85a6ac0 completed April 5, 2026, 11:01 a.m.
Created at: March 30, 2026, 7:38 p.m.