Triple

T4205490
Position Surface form Disambiguated ID Type / Status
Subject Little Men E86172 entity
Predicate mainCharacter P1183 FINISHED
Object Bess
Bess is a character in Louisa May Alcott’s novel "Little Men," which continues the story of the March family from "Little Women."
 E420732 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: Bess | Statement: [Little Men, mainCharacter, Bess]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bess
Context triple: [Little Men, mainCharacter, Bess]
  • A. Bess
    Bess is a central character in George Gershwin's American folk opera "Porgy and Bess," known as a troubled woman torn between love, addiction, and her harsh surroundings in Catfish Row.
  • B. Bess
    Bess was the familiar nickname of Elizabeth "Bess" Truman, the First Lady of the United States and wife of President Harry S. Truman.
  • C. Mollie
    Mollie is a young girl in Enid Blyton's "The Wishing-Chair" series who, along with her brother Peter, goes on magical adventures using a flying wishing-chair.
  • D. Bess Meredyth
    Bess Meredyth was an American screenwriter and silent film pioneer known for her influential work in early Hollywood cinema.
  • E. Bessie
    Bessie is a feminine given name most famously associated with legendary American blues singer Bessie Smith.
  • 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: Bess
Triple: [Little Men, mainCharacter, Bess]
Generated description
Bess is a character in Louisa May Alcott’s novel "Little Men," which continues the story of the March family from "Little Women."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bess
Target entity description: Bess is a character in Louisa May Alcott’s novel "Little Men," which continues the story of the March family from "Little Women."
  • A. Bess
    Bess was the familiar nickname of Elizabeth "Bess" Truman, the First Lady of the United States and wife of President Harry S. Truman.
  • B. Bess
    Bess is a central character in George Gershwin's American folk opera "Porgy and Bess," known as a troubled woman torn between love, addiction, and her harsh surroundings in Catfish Row.
  • C. Mollie
    Mollie is a young girl in Enid Blyton's "The Wishing-Chair" series who, along with her brother Peter, goes on magical adventures using a flying wishing-chair.
  • D. Bess Meredyth
    Bess Meredyth was an American screenwriter and silent film pioneer known for her influential work in early Hollywood cinema.
  • E. Bessie
    Bessie is a feminine given name most famously associated with legendary American blues singer Bessie Smith.
  • 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_69aed93b89f48190a31f6d57c760e42f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af03844314819092639ed7d6ef2c6e completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a19c90c819083a750fafa6fd1c7 completed March 14, 2026, 4:17 p.m.
NEDg Description generation batch_69b58e337aec819092020d46ee235fd1 completed March 14, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_69b58e9f50948190a40254375e76153c completed March 14, 2026, 4:36 p.m.
Created at: March 9, 2026, 3:49 p.m.