Triple

T18073045
Position Surface form Disambiguated ID Type / Status
Subject Karl Swenson E432480 entity
Predicate spouse P13 FINISHED
Object Virginia Hanscom
Virginia Hanscom was the wife of American character actor Karl Swenson.
E1402910 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: Virginia Hanscom | Statement: [Karl Swenson, spouse, Virginia Hanscom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virginia Hanscom
Context triple: [Karl Swenson, spouse, Virginia Hanscom]
  • A. Virginia DuBridge
    Virginia DuBridge was the wife of American physicist and educator Lee A. DuBridge, who served as president of Caltech and science advisor to U.S. presidents.
  • B. Madeleine Vinton Dahlgren
    Madeleine Vinton Dahlgren was a 19th-century American author and translator known for her novels, essays, and social commentary, as well as her prominent role in Washington, D.C. literary and political circles.
  • C. Virginia Kellogg
    Virginia Kellogg was an American screenwriter best known for her hard-hitting crime and prison dramas in mid-20th-century Hollywood.
  • D. Gail Stevens
    Gail Stevens is a British casting director known for her work on numerous acclaimed film and television productions.
  • E. Katherine Woodcock
    Katherine Woodcock was the second wife of the English poet John Milton, remembered primarily through his sonnet mourning her death shortly after childbirth.
  • 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: Virginia Hanscom
Triple: [Karl Swenson, spouse, Virginia Hanscom]
Generated description
Virginia Hanscom was the wife of American character actor Karl Swenson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Virginia Hanscom
Target entity description: Virginia Hanscom was the wife of American character actor Karl Swenson.
  • A. Virginia DuBridge
    Virginia DuBridge was the wife of American physicist and educator Lee A. DuBridge, who served as president of Caltech and science advisor to U.S. presidents.
  • B. Madeleine Vinton Dahlgren
    Madeleine Vinton Dahlgren was a 19th-century American author and translator known for her novels, essays, and social commentary, as well as her prominent role in Washington, D.C. literary and political circles.
  • C. Virginia Kellogg
    Virginia Kellogg was an American screenwriter best known for her hard-hitting crime and prison dramas in mid-20th-century Hollywood.
  • D. Gail Stevens
    Gail Stevens is a British casting director known for her work on numerous acclaimed film and television productions.
  • E. Katherine Woodcock
    Katherine Woodcock was the second wife of the English poet John Milton, remembered primarily through his sonnet mourning her death shortly after childbirth.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccef022c81909be41b2c3a3ee68e completed April 19, 2026, 12:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07f6c97f9c8190ae7555aef83cbbd3 completed May 16, 2026, 4:47 a.m.
NEDg Description generation batch_6a07f85977548190b5e66b1914919a94 completed May 16, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_6a07f8d26364819086b9e4cfff88ca46 completed May 16, 2026, 4:55 a.m.
Created at: April 10, 2026, 10:26 a.m.