Triple

T611866
Position Surface form Disambiguated ID Type / Status
Subject Carol Burnett E12115 entity
Predicate familyName P18 FINISHED
Object Burnett
Burnett is a surname most famously associated with American comedian and actress Carol Burnett, a pioneering figure in television sketch comedy.
 E76940 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: Burnett | Statement: [Carol Burnett, familyName, Burnett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Burnett
Context triple: [Carol Burnett, familyName, Burnett]
  • A. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • B. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • C. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • D. Winfield
    Winfield is a masculine given name most notably borne by 19th-century American military leader Winfield Scott.
  • E. Barton
    Barton is the middle name of William Barton Rogers, the American scientist and educator who founded the Massachusetts Institute of Technology (MIT).
  • 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: Burnett
Triple: [Carol Burnett, familyName, Burnett]
Generated description
Burnett is a surname most famously associated with American comedian and actress Carol Burnett, a pioneering figure in television sketch comedy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Burnett
Target entity description: Burnett is a surname most famously associated with American comedian and actress Carol Burnett, a pioneering figure in television sketch comedy.
  • A. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • B. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • C. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • D. Winfield
    Winfield is a masculine given name most notably borne by 19th-century American military leader Winfield Scott.
  • E. Barton
    Barton is the middle name of William Barton Rogers, the American scientist and educator who founded the Massachusetts Institute of Technology (MIT).
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49e07739481909930a6577c081b9e completed March 1, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5554937a081909967f5298dbe1082 completed March 2, 2026, 9:15 a.m.
NEDg Description generation batch_69a555c1f9b88190a2bd85c41fcb6c28 completed March 2, 2026, 9:17 a.m.
NED2 Entity disambiguation (via description) batch_69a55841f3448190823d3bb5361077ab completed March 2, 2026, 9:28 a.m.
Created at: March 1, 2026, 7:35 p.m.