Triple

T1438658
Position Surface form Disambiguated ID Type / Status
Subject Malory Towers E31016 entity
Predicate featuresCharacter P626 FINISHED
Object Betty
Betty is a minor character in Enid Blyton’s "Malory Towers" series, known as a lively and mischievous schoolgirl at the boarding school.
 E167092 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: Betty | Statement: [Malory Towers, featuresCharacter, Betty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Betty
Context triple: [Malory Towers, featuresCharacter, Betty]
  • A. Betty
    Betty is the childhood nickname of Elizabeth Parris, the young girl whose strange afflictions helped spark the Salem witch trials in 1692.
  • B. Bette
    Bette is the given name of American singer, actress, and comedian Bette Midler.
  • C. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • D. Bernice
    Bernice is a feminine given name most notably borne by Bernice King, the daughter of civil rights leaders Martin Luther King Jr. and Coretta Scott King.
  • E. Peggy
    Peggy is a common diminutive or nickname for the given name Margaret.
  • 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: Betty
Triple: [Malory Towers, featuresCharacter, Betty]
Generated description
Betty is a minor character in Enid Blyton’s "Malory Towers" series, known as a lively and mischievous schoolgirl at the boarding school.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Betty
Target entity description: Betty is a minor character in Enid Blyton’s "Malory Towers" series, known as a lively and mischievous schoolgirl at the boarding school.
  • A. Betty
    Betty is the childhood nickname of Elizabeth Parris, the young girl whose strange afflictions helped spark the Salem witch trials in 1692.
  • B. Bette
    Bette is the given name of American singer, actress, and comedian Bette Midler.
  • C. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • D. Bernice
    Bernice is a feminine given name most notably borne by Bernice King, the daughter of civil rights leaders Martin Luther King Jr. and Coretta Scott King.
  • E. Peggy
    Peggy is a common diminutive or nickname for the given name Margaret.
  • 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_69a4991633388190a4d61b5a98aa407a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c506d5ac8190b4c5b394c6d3f414 completed March 1, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e6e12748190baeb91ba843a716f completed March 8, 2026, 5:51 a.m.
NEDg Description generation batch_69ad0ed1fb608190a9295808e144d0fb completed March 8, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_69ad0f90cdec81908a981e12184cdd75 completed March 8, 2026, 5:56 a.m.
Created at: March 1, 2026, 8 p.m.