Triple

T18502390
Position Surface form Disambiguated ID Type / Status
Subject Gloria Blondell E452109 entity
Predicate mother P120 FINISHED
Object Katharine Caine
Katharine Caine is the daughter of American film and radio actress Gloria Blondell.
 E1334543 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: Katharine Caine | Statement: [Gloria Blondell, mother, Katharine Caine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Katharine Caine
Context triple: [Gloria Blondell, mother, Katharine Caine]
  • A. Marie Windsor
    Marie Windsor was an American character actress best known for her tough, sultry roles in film noir and B-movies during the 1940s and 1950s.
  • B. Catherine Craig
    Catherine Craig was an American film actress active in the 1940s, known for her supporting roles in Hollywood productions.
  • C. Celia Johnson
    Celia Johnson was a distinguished English actress best known for her nuanced, understated performances in classic British films such as "Brief Encounter."
  • D. Anna Massey
    Anna Massey was an acclaimed English actress known for her nuanced performances in film, television, and theatre, including notable roles in psychological dramas and literary adaptations.
  • E. Eleanor Bron
    Eleanor Bron is a British actress and writer known for her distinctive, often imperious screen presence in film, television, and theatre.
  • 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: Katharine Caine
Triple: [Gloria Blondell, mother, Katharine Caine]
Generated description
Katharine Caine is the daughter of American film and radio actress Gloria Blondell.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Katharine Caine
Target entity description: Katharine Caine is the daughter of American film and radio actress Gloria Blondell.
  • A. Marie Windsor
    Marie Windsor was an American character actress best known for her tough, sultry roles in film noir and B-movies during the 1940s and 1950s.
  • B. Catherine Craig
    Catherine Craig was an American film actress active in the 1940s, known for her supporting roles in Hollywood productions.
  • C. Celia Johnson
    Celia Johnson was a distinguished English actress best known for her nuanced, understated performances in classic British films such as "Brief Encounter."
  • D. Anna Massey
    Anna Massey was an acclaimed English actress known for her nuanced performances in film, television, and theatre, including notable roles in psychological dramas and literary adaptations.
  • E. Eleanor Bron
    Eleanor Bron is a British actress and writer known for her distinctive, often imperious screen presence in film, television, and theatre.
  • 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532c535908190bdc90c58fc5bdaf7 completed April 19, 2026, 7:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050d65f8448190a2d40dd1f6db71b2 completed May 13, 2026, 11:46 p.m.
NEDg Description generation batch_6a050f418b308190ac312b3064f6ec44 completed May 13, 2026, 11:54 p.m.
NED2 Entity disambiguation (via description) batch_6a050f8e4ec08190b51b9d359b854b32 completed May 13, 2026, 11:55 p.m.
Created at: April 10, 2026, 11:36 a.m.