Triple

T1035423
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Parris E22350 entity
Predicate nickname P55 FINISHED
Object Betty
Betty is the childhood nickname of Elizabeth Parris, the young girl whose strange afflictions helped spark the Salem witch trials in 1692.
E135332 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: [Elizabeth Parris, nickname, Betty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betty
Context triple: [Elizabeth Parris, nickname, Betty]
  • A. Bette
    Bette is the given name of American singer, actress, and comedian Bette Midler.
  • B. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • C. 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.
  • D. Peggy
    Peggy is a common diminutive or nickname for the given name Margaret.
  • E. Lucille
    "Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
  • 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: [Elizabeth Parris, nickname, Betty]
Generated description
Betty is the childhood nickname of Elizabeth Parris, the young girl whose strange afflictions helped spark the Salem witch trials in 1692.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Betty
Target entity description: Betty is the childhood nickname of Elizabeth Parris, the young girl whose strange afflictions helped spark the Salem witch trials in 1692.
  • A. Bette
    Bette is the given name of American singer, actress, and comedian Bette Midler.
  • B. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • C. 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.
  • D. Peggy
    Peggy is a common diminutive or nickname for the given name Margaret.
  • E. Lucille
    "Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b816272c8190a12e470c4d4ebcf9 completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f0781e08190bbfd5fad2b122150 completed March 7, 2026, 6:31 p.m.
NEDg Description generation batch_69ac7014d7e08190ba19d67beff96756 completed March 7, 2026, 6:36 p.m.
NED2 Entity disambiguation (via description) batch_69ac707f31408190b8febc2f52d396c4 completed March 7, 2026, 6:37 p.m.
Created at: March 1, 2026, 7:41 p.m.