Triple

T10683475
Position Surface form Disambiguated ID Type / Status
Subject Post Consumer Brands E251814 entity
Predicate brand P1500 FINISHED
Object Golden Crisp
Golden Crisp is a sweet, puffed wheat breakfast cereal known for its honey-like flavor and long-time cartoon mascot Sugar Bear.
 E878387 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: Golden Crisp | Statement: [Post Consumer Brands, brand, Golden Crisp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Golden Crisp
Context triple: [Post Consumer Brands, brand, Golden Crisp]
  • A. Crispi
    Crispi is an Italian surname most notably associated with Francesco Crispi, a prominent 19th-century Italian statesman and former Prime Minister.
  • B. Le Crunch
    Le Crunch is the intense and historic rugby union rivalry between the national teams of France and England.
  • C. Lickety Split
    Lickety Split is an ice cream and dessert shop located within Pantopia at Busch Gardens Tampa Bay.
  • D. Honey Bun
    "Honey Bun" is a song that follows "Without You" in the artist's release chronology, likely serving as a subsequent single or track in their discography.
  • E. Cracker Jack
    Cracker Jack is a classic American caramel-coated popcorn and peanut snack best known for its inclusion in baseball culture and its signature prize inside each package.
  • 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: Golden Crisp
Triple: [Post Consumer Brands, brand, Golden Crisp]
Generated description
Golden Crisp is a sweet, puffed wheat breakfast cereal known for its honey-like flavor and long-time cartoon mascot Sugar Bear.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Golden Crisp
Target entity description: Golden Crisp is a sweet, puffed wheat breakfast cereal known for its honey-like flavor and long-time cartoon mascot Sugar Bear.
  • A. Crispi
    Crispi is an Italian surname most notably associated with Francesco Crispi, a prominent 19th-century Italian statesman and former Prime Minister.
  • B. Le Crunch
    Le Crunch is the intense and historic rugby union rivalry between the national teams of France and England.
  • C. Lickety Split
    Lickety Split is an ice cream and dessert shop located within Pantopia at Busch Gardens Tampa Bay.
  • D. Honey Bun
    "Honey Bun" is a song that follows "Without You" in the artist's release chronology, likely serving as a subsequent single or track in their discography.
  • E. Cracker Jack
    Cracker Jack is a classic American caramel-coated popcorn and peanut snack best known for its inclusion in baseball culture and its signature prize inside each package.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fcc43b9481908f35490db93db76c completed April 9, 2026, 1:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9888cf7b481909de6a4fecb48cf4b completed April 10, 2026, 11:32 p.m.
NEDg Description generation batch_69d98aea391c81909ec64a29053c35c1 completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98c04e8c08190b4d7bc63357c69f4 completed April 10, 2026, 11:47 p.m.
Created at: April 8, 2026, 9:10 p.m.