Triple

T12278720
Position Surface form Disambiguated ID Type / Status
Subject Three's Company E292658 entity
Predicate mainCharacter P1183 FINISHED
Object Cindy Snow
Cindy Snow is a bubbly, somewhat naive nurse who serves as one of the central roommates on the classic American sitcom "Three's Company."
E998526 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: Cindy Snow | Statement: [Three's Company, mainCharacter, Cindy Snow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cindy Snow
Context triple: [Three's Company, mainCharacter, Cindy Snow]
  • A. Tina Snow
    Tina Snow is an alter ego and early mixtape title of American rapper Megan Thee Stallion, embodying her confident, hardcore Southern rap persona.
  • B. Cindy Green
    Cindy Green is a central character in the fantasy drama film "The Odd Life of Timothy Green," portrayed as a hopeful, loving woman who longs to become a mother.
  • C. Cindy Morgan
    Cindy Morgan is an American actress best known for her roles in the comedy film "Caddyshack" and the science fiction film "Tron."
  • D. Cindy Holland
    Cindy Holland is a television executive best known for her influential role in developing and overseeing original content at Netflix.
  • E. Cindy Bridges
    Cindy Bridges is an American actress and member of the prominent Bridges acting family, known as the sister of actor Jeff Bridges.
  • 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: Cindy Snow
Triple: [Three's Company, mainCharacter, Cindy Snow]
Generated description
Cindy Snow is a bubbly, somewhat naive nurse who serves as one of the central roommates on the classic American sitcom "Three's Company."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cindy Snow
Target entity description: Cindy Snow is a bubbly, somewhat naive nurse who serves as one of the central roommates on the classic American sitcom "Three's Company."
  • A. Tina Snow
    Tina Snow is an alter ego and early mixtape title of American rapper Megan Thee Stallion, embodying her confident, hardcore Southern rap persona.
  • B. Cindy Green
    Cindy Green is a central character in the fantasy drama film "The Odd Life of Timothy Green," portrayed as a hopeful, loving woman who longs to become a mother.
  • C. Cindy Morgan
    Cindy Morgan is an American actress best known for her roles in the comedy film "Caddyshack" and the science fiction film "Tron."
  • D. Cindy Holland
    Cindy Holland is a television executive best known for her influential role in developing and overseeing original content at Netflix.
  • E. Cindy Bridges
    Cindy Bridges is an American actress and member of the prominent Bridges acting family, known as the sister of actor Jeff Bridges.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf1ab8c8190a51f498bfda957d8 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6718199d0819088eff94c031d2fe1 completed May 2, 2026, 9:49 p.m.
NEDg Description generation batch_69f6738fb13881909be53b9bd9960944 completed May 2, 2026, 9:58 p.m.
NED2 Entity disambiguation (via description) batch_69f677cabbb48190b5a097af0237595c completed May 2, 2026, 10:16 p.m.
Created at: April 8, 2026, 9:52 p.m.