Triple

T7560484
Position Surface form Disambiguated ID Type / Status
Subject The Larry Sanders Show E178780 entity
Predicate character P662 FINISHED
Object Beverly
Beverly is a fictional assistant and supporting character on the satirical television series "The Larry Sanders Show."
 E673651 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: Beverly | Statement: [The Larry Sanders Show, character, Beverly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beverly
Context triple: [The Larry Sanders Show, character, Beverly]
  • A. Beverly
    Beverly is the birth name of Buffy Sainte-Marie, the Indigenous Canadian-American singer-songwriter, educator, and social activist.
  • B. Beverly, Massachusetts
    Beverly, Massachusetts is a coastal city in Essex County known as a historic North Shore community often associated with early American maritime and industrial development.
  • C. Norwood
    Norwood is a residential neighborhood in the Bronx, New York City, known for its diverse community and proximity to Van Cortlandt Park.
  • D. Norwood
    Norwood is the surname of American singer, songwriter, and actress Brandy, known for her influential R&B music career and roles in film and television.
  • E. Norwood
    Norwood is a small town located in Stanly County in the U.S. state of North Carolina.
  • 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: Beverly
Triple: [The Larry Sanders Show, character, Beverly]
Generated description
Beverly is a fictional assistant and supporting character on the satirical television series "The Larry Sanders Show."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beverly
Target entity description: Beverly is a fictional assistant and supporting character on the satirical television series "The Larry Sanders Show."
  • A. Beverly
    Beverly is the birth name of Buffy Sainte-Marie, the Indigenous Canadian-American singer-songwriter, educator, and social activist.
  • B. Beverly, Massachusetts
    Beverly, Massachusetts is a coastal city in Essex County known as a historic North Shore community often associated with early American maritime and industrial development.
  • C. Norwood
    Norwood is a residential neighborhood in the Bronx, New York City, known for its diverse community and proximity to Van Cortlandt Park.
  • D. Norwood
    Norwood is the surname of American singer, songwriter, and actress Brandy, known for her influential R&B music career and roles in film and television.
  • E. Norwood
    Norwood is a small town located in Stanly County in the U.S. state of North Carolina.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8dd96488190b4cca25ae8f7f95c completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856cc869081909555ae03dec52288 completed March 28, 2026, 10:31 p.m.
NEDg Description generation batch_69c85765d1f48190b171ff87a15c5b74 completed March 28, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69c8580963748190b81bd7437259da28 completed March 28, 2026, 10:36 p.m.
Created at: March 27, 2026, 3:50 p.m.