Triple

T5189428
Position Surface form Disambiguated ID Type / Status
Subject Ralph Bellamy E117112 entity
Predicate spouse P13 FINISHED
Object Alice Murphy
Alice Murphy is known as the wife of American actor Ralph Bellamy, a prominent figure in classic Hollywood cinema.
E501958 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: Alice Murphy | Statement: [Ralph Bellamy, spouse, Alice Murphy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alice Murphy
Context triple: [Ralph Bellamy, spouse, Alice Murphy]
  • A. Marylouise Burke
    Marylouise Burke is an American character actress known for her work in film, television, and on Broadway, often portraying quirky, comedic supporting roles.
  • B. Cynthia Mort
    Cynthia Mort is an American screenwriter, director, and producer known for her work in film and television, including projects like "The Brave One" and the biographical drama "Nina."
  • C. Margo Anderson
    Margo Anderson is best known as a former wife of American country music star Kenny Rogers.
  • D. Patricia Russo
    Patricia Russo is an American business executive best known for serving as CEO of Lucent Technologies and later Alcatel-Lucent.
  • E. Dorothy Malone
    Dorothy Malone was an American film and television actress best known for her Oscar-winning role in "Written on the Wind" and her later work on the TV series "Peyton Place."
  • 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: Alice Murphy
Triple: [Ralph Bellamy, spouse, Alice Murphy]
Generated description
Alice Murphy is known as the wife of American actor Ralph Bellamy, a prominent figure in classic Hollywood cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alice Murphy
Target entity description: Alice Murphy is known as the wife of American actor Ralph Bellamy, a prominent figure in classic Hollywood cinema.
  • A. Marylouise Burke
    Marylouise Burke is an American character actress known for her work in film, television, and on Broadway, often portraying quirky, comedic supporting roles.
  • B. Cynthia Mort
    Cynthia Mort is an American screenwriter, director, and producer known for her work in film and television, including projects like "The Brave One" and the biographical drama "Nina."
  • C. Margo Anderson
    Margo Anderson is best known as a former wife of American country music star Kenny Rogers.
  • D. Patricia Russo
    Patricia Russo is an American business executive best known for serving as CEO of Lucent Technologies and later Alcatel-Lucent.
  • E. Dorothy Malone
    Dorothy Malone was an American film and television actress best known for her Oscar-winning role in "Written on the Wind" and her later work on the TV series "Peyton Place."
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c732b48190af62dfffcbc5e3a6 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee08dfe648190a98b5a61f857d593 completed March 21, 2026, 6:16 p.m.
NEDg Description generation batch_69bee66191dc8190847fe13f2cda0000 completed March 21, 2026, 6:41 p.m.
NED2 Entity disambiguation (via description) batch_69bee6e8bbcc819094f5f04743eb4013 completed March 21, 2026, 6:43 p.m.
Created at: March 20, 2026, 1:46 p.m.