Triple

T5675282
Position Surface form Disambiguated ID Type / Status
Subject Krispy Kreme E125070 entity
Predicate tickerSymbol P1447 FINISHED
Object DNUT
DNUT is the stock ticker symbol for Krispy Kreme, the American doughnut company known for its Original Glazed doughnuts and global chain of shops.
 E538077 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: DNUT | Statement: [Krispy Kreme, tickerSymbol, DNUT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DNUT
Context triple: [Krispy Kreme, tickerSymbol, DNUT]
  • A. DN
    DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • B. DN
    DN is a UK postcode area covering Doncaster and surrounding parts of South Yorkshire and Lincolnshire, including North East Lincolnshire.
  • C. DEN
    DEN is the three-letter IATA airport code for Denver International Airport, the primary commercial airport serving Denver, Colorado.
  • D. Nut
    Nut is the ancient Egyptian sky goddess, often depicted arching over the earth and associated with the heavens, stars, and the cyclical rebirth of the sun.
  • E. DNQ
    DNQ is the IATA airport code for Deniliquin Airport, a regional airport serving the town of Deniliquin in New South Wales, Australia.
  • 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: DNUT
Triple: [Krispy Kreme, tickerSymbol, DNUT]
Generated description
DNUT is the stock ticker symbol for Krispy Kreme, the American doughnut company known for its Original Glazed doughnuts and global chain of shops.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DNUT
Target entity description: DNUT is the stock ticker symbol for Krispy Kreme, the American doughnut company known for its Original Glazed doughnuts and global chain of shops.
  • A. DN
    DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • B. DN
    DN is a UK postcode area covering Doncaster and surrounding parts of South Yorkshire and Lincolnshire, including North East Lincolnshire.
  • C. DEN
    DEN is the three-letter IATA airport code for Denver International Airport, the primary commercial airport serving Denver, Colorado.
  • D. Nut
    Nut is the ancient Egyptian sky goddess, often depicted arching over the earth and associated with the heavens, stars, and the cyclical rebirth of the sun.
  • E. DNQ
    DNQ is the IATA airport code for Deniliquin Airport, a regional airport serving the town of Deniliquin in New South Wales, Australia.
  • 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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023717c648190b5dee8c1c6510e6d completed March 22, 2026, 5:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04db8f1c4819097251039c09c5dda completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04ee0ee6c81908f5959bdba54a7ec completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04fb8ddfc8190a95b86972e659403 completed March 22, 2026, 8:23 p.m.
Created at: March 22, 2026, 3:43 p.m.