Triple

T10737294
Position Surface form Disambiguated ID Type / Status
Subject Keeping Mum E253225 entity
Predicate hasMainCharacter P1183 FINISHED
Object Gloria Goodfellow
Gloria Goodfellow is the frustrated vicar’s wife and central comedic figure in the British dark comedy film "Keeping Mum," whose personal and family troubles drive much of the story’s plot.
E888892 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: Gloria Goodfellow | Statement: [Keeping Mum, hasMainCharacter, Gloria Goodfellow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gloria Goodfellow
Context triple: [Keeping Mum, hasMainCharacter, Gloria Goodfellow]
  • A. Gloria Connors
    Gloria Connors was an American tennis coach best known as the mother and early mentor of tennis champion Jimmy Connors.
  • B. Gloria Page
    Gloria Page is known as the mother of Larry Page, the co-founder of Google.
  • C. Gladys Brockwell
    Gladys Brockwell was an American stage and silent film actress known for her intense dramatic roles during the early 20th century.
  • D. Gloria Millington
    Gloria Millington is a fictional character from the "Kingdom" series, known for her role within its dramatic, character-driven storyline.
  • E. Gloria Greer
    Gloria Greer was an American actress best known for her work in early 20th-century films and for her marriage to film director Alan Crosland.
  • 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: Gloria Goodfellow
Triple: [Keeping Mum, hasMainCharacter, Gloria Goodfellow]
Generated description
Gloria Goodfellow is the frustrated vicar’s wife and central comedic figure in the British dark comedy film "Keeping Mum," whose personal and family troubles drive much of the story’s plot.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gloria Goodfellow
Target entity description: Gloria Goodfellow is the frustrated vicar’s wife and central comedic figure in the British dark comedy film "Keeping Mum," whose personal and family troubles drive much of the story’s plot.
  • A. Gloria Connors
    Gloria Connors was an American tennis coach best known as the mother and early mentor of tennis champion Jimmy Connors.
  • B. Gloria Page
    Gloria Page is known as the mother of Larry Page, the co-founder of Google.
  • C. Gladys Brockwell
    Gladys Brockwell was an American stage and silent film actress known for her intense dramatic roles during the early 20th century.
  • D. Gloria Millington
    Gloria Millington is a fictional character from the "Kingdom" series, known for her role within its dramatic, character-driven storyline.
  • E. Gloria Greer
    Gloria Greer was an American actress best known for her work in early 20th-century films and for her marriage to film director Alan Crosland.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710410a04819090036597ac0d271c completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb0a03a1481908edb933b1613a027 completed April 14, 2026, 9:24 p.m.
NEDg Description generation batch_69deb6942054819098cb119c6bf7b3c7 completed April 14, 2026, 9:50 p.m.
NED2 Entity disambiguation (via description) batch_69dec259680c819087f14189042ec190 completed April 14, 2026, 10:40 p.m.
Created at: April 8, 2026, 9:14 p.m.