Triple

T5203104
Position Surface form Disambiguated ID Type / Status
Subject Happy Days E117441 entity
Predicate mainCharacter P1183 FINISHED
Object Winnie
Winnie is a central character from the classic American sitcom "Happy Days," known for her role in the show's nostalgic portrayal of 1950s Midwestern life.
 E501006 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: Winnie | Statement: [Happy Days, mainCharacter, Winnie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Winnie
Context triple: [Happy Days, mainCharacter, Winnie]
  • A. Teddy
    Teddy is a character in Louisa May Alcott’s novel "Jo’s Boys," part of the continuation of the March family saga begun in "Little Women."
  • B. Teddy
    Teddy is Mr. Bean’s beloved brown teddy bear, a silent yet expressive companion that often serves as his confidant and playmate in the comedy series.
  • C. Bess
    Bess is a character in Louisa May Alcott’s novel "Little Men," which continues the story of the March family from "Little Women."
  • D. Bess
    Bess was the familiar nickname of Elizabeth "Bess" Truman, the First Lady of the United States and wife of President Harry S. Truman.
  • E. 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.
  • 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: Winnie
Triple: [Happy Days, mainCharacter, Winnie]
Generated description
Winnie is a central character from the classic American sitcom "Happy Days," known for her role in the show's nostalgic portrayal of 1950s Midwestern life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Winnie
Target entity description: Winnie is a central character from the classic American sitcom "Happy Days," known for her role in the show's nostalgic portrayal of 1950s Midwestern life.
  • A. Teddy
    Teddy is a character in Louisa May Alcott’s novel "Jo’s Boys," part of the continuation of the March family saga begun in "Little Women."
  • B. Teddy
    Teddy is Mr. Bean’s beloved brown teddy bear, a silent yet expressive companion that often serves as his confidant and playmate in the comedy series.
  • C. Bess
    Bess is a character in Louisa May Alcott’s novel "Little Men," which continues the story of the March family from "Little Women."
  • D. Bess
    Bess was the familiar nickname of Elizabeth "Bess" Truman, the First Lady of the United States and wife of President Harry S. Truman.
  • E. 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.
  • 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_69bd4463dd3c81909966123f20b79d57 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a46393c81908da08f4fbfb6147d completed March 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee0a8ae0881909ce3173b73c2b749 completed March 21, 2026, 6:17 p.m.
NEDg Description generation batch_69bee61df9b4819092e4801195da2462 completed March 21, 2026, 6:40 p.m.
NED2 Entity disambiguation (via description) batch_69bee67364588190b5d8f31af7adf1f4 completed March 21, 2026, 6:41 p.m.
Created at: March 20, 2026, 1:47 p.m.