Triple

T6666790
Position Surface form Disambiguated ID Type / Status
Subject Red Skelton E151621 entity
Predicate spouse P13 FINISHED
Object Georgia Davis
Georgia Davis was the second wife of American comedian and actor Red Skelton, with whom she shared both personal and professional aspects of his entertainment career.
 E618825 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: Georgia Davis | Statement: [Red Skelton, spouse, Georgia Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Georgia Davis
Context triple: [Red Skelton, spouse, Georgia Davis]
  • A. Kate Davis
    Kate Davis was the wife of influential newspaper publisher and journalist Joseph Pulitzer.
  • B. Mary Louise Davis
    Mary Louise Davis is the mother of American stand-up comedian, writer, and filmmaker Louis C.K.
  • C. Lisa Davis
    Lisa Davis is a British-American actress best known for voicing Anita in Disney’s animated film "One Hundred and One Dalmatians."
  • D. Sheila Davis
    Sheila Davis is a global health leader and nurse who serves as a key executive at the social justice–focused healthcare organization Partners In Health.
  • E. Lyn Davis
    Lyn Davis is best known as the wife of influential American television writer and producer Norman Lear.
  • 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: Georgia Davis
Triple: [Red Skelton, spouse, Georgia Davis]
Generated description
Georgia Davis was the second wife of American comedian and actor Red Skelton, with whom she shared both personal and professional aspects of his entertainment career.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Georgia Davis
Target entity description: Georgia Davis was the second wife of American comedian and actor Red Skelton, with whom she shared both personal and professional aspects of his entertainment career.
  • A. Kate Davis
    Kate Davis was the wife of influential newspaper publisher and journalist Joseph Pulitzer.
  • B. Mary Louise Davis
    Mary Louise Davis is the mother of American stand-up comedian, writer, and filmmaker Louis C.K.
  • C. Lisa Davis
    Lisa Davis is a British-American actress best known for voicing Anita in Disney’s animated film "One Hundred and One Dalmatians."
  • D. Sheila Davis
    Sheila Davis is a global health leader and nurse who serves as a key executive at the social justice–focused healthcare organization Partners In Health.
  • E. Lyn Davis
    Lyn Davis is best known as the wife of influential American television writer and producer Norman Lear.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b09ec2ec8190aa666c68c6c2cfc6 completed March 27, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7128c4eac81909ebfe47d8d1ffe9b completed March 27, 2026, 11:28 p.m.
NEDg Description generation batch_69c7136dd06c8190b94dc7d577e087b1 completed March 27, 2026, 11:31 p.m.
NED2 Entity disambiguation (via description) batch_69c71426bb7c81908aeab3d17eda382e completed March 27, 2026, 11:35 p.m.
Created at: March 27, 2026, 2:02 p.m.