Triple

T14367130
Position Surface form Disambiguated ID Type / Status
Subject Ryan O'Neal E356263 entity
Predicate spouse P13 FINISHED
Object Joanna Moore
Joanna Moore was an American film and television actress known for her roles in 1950s–1960s Hollywood productions, including a recurring part on "The Andy Griffith Show."
E1141330 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: Joanna Moore | Statement: [Ryan O'Neal, spouse, Joanna Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joanna Moore
Context triple: [Ryan O'Neal, spouse, Joanna Moore]
  • A. Jill Moore
    Jill Moore is best known as the former wife of English musician and former Genesis frontman Peter Gabriel.
  • B. Joanna McCoy
    Joanna McCoy is a character in the Star Trek universe known as the estranged daughter of Dr. Leonard "Bones" McCoy.
  • C. Kathryn Morris
    Kathryn Morris is an American actress best known for her lead role as Detective Lilly Rush on the television series "Cold Case."
  • D. Rachel Moore
    Rachel Moore is a common personal name shared by multiple individuals, including figures in fields such as the arts, academia, and entertainment.
  • E. Joanna Miles
    Joanna Miles is an American actress best known for her work in film, television, and stage productions, including roles in adaptations of classic literary and theatrical works.
  • 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: Joanna Moore
Triple: [Ryan O'Neal, spouse, Joanna Moore]
Generated description
Joanna Moore was an American film and television actress known for her roles in 1950s–1960s Hollywood productions, including a recurring part on "The Andy Griffith Show."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joanna Moore
Target entity description: Joanna Moore was an American film and television actress known for her roles in 1950s–1960s Hollywood productions, including a recurring part on "The Andy Griffith Show."
  • A. Jill Moore
    Jill Moore is best known as the former wife of English musician and former Genesis frontman Peter Gabriel.
  • B. Joanna McCoy
    Joanna McCoy is a character in the Star Trek universe known as the estranged daughter of Dr. Leonard "Bones" McCoy.
  • C. Kathryn Morris
    Kathryn Morris is an American actress best known for her lead role as Detective Lilly Rush on the television series "Cold Case."
  • D. Rachel Moore
    Rachel Moore is a common personal name shared by multiple individuals, including figures in fields such as the arts, academia, and entertainment.
  • E. Joanna Miles
    Joanna Miles is an American actress best known for her work in film, television, and stage productions, including roles in adaptations of classic literary and theatrical works.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8faf00e8819087d7100e9d8c1877 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec86c6c6c8190957e398e3dcdd840 completed May 9, 2026, 5:38 a.m.
NEDg Description generation batch_69fec964fc7c8190ae4217122602f320 completed May 9, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69feca1d6c0c8190ab049644153ef087 completed May 9, 2026, 5:46 a.m.
Created at: April 10, 2026, 1:15 a.m.