Triple

T7494906
Position Surface form Disambiguated ID Type / Status
Subject Cool Runnings E177097 entity
Predicate mainCharacter P1183 FINISHED
Object Sanka Coffie
Sanka Coffie is the laid-back, humorous pushcart driver and brakeman who provides comic relief and heart in the Jamaican bobsled team in the film "Cool Runnings."
 E668510 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: Sanka Coffie | Statement: [Cool Runnings, mainCharacter, Sanka Coffie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sanka Coffie
Context triple: [Cool Runnings, mainCharacter, Sanka Coffie]
  • A. Nescafé
    Nescafé is a globally popular brand of instant coffee and related coffee products owned by Nestlé.
  • B. Coffee-Mate
    Coffee-Mate is a popular non-dairy coffee creamer brand known for its wide variety of flavored and powdered creamers used to enhance coffee.
  • C. Sandy Coffee
    Sandy Coffee is a musical artist known for appearing on the remix of Ludacris's song "Splash Waterfalls."
  • D. Hersey
    Hersey is a surname most notably associated with John Hersey, the American writer and journalist renowned for his work "Hiroshima."
  • E. Lipton
    Lipton is a globally recognized tea brand offering a wide range of tea products, including black, green, and herbal varieties.
  • 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: Sanka Coffie
Triple: [Cool Runnings, mainCharacter, Sanka Coffie]
Generated description
Sanka Coffie is the laid-back, humorous pushcart driver and brakeman who provides comic relief and heart in the Jamaican bobsled team in the film "Cool Runnings."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sanka Coffie
Target entity description: Sanka Coffie is the laid-back, humorous pushcart driver and brakeman who provides comic relief and heart in the Jamaican bobsled team in the film "Cool Runnings."
  • A. Nescafé
    Nescafé is a globally popular brand of instant coffee and related coffee products owned by Nestlé.
  • B. Coffee-Mate
    Coffee-Mate is a popular non-dairy coffee creamer brand known for its wide variety of flavored and powdered creamers used to enhance coffee.
  • C. Sandy Coffee
    Sandy Coffee is a musical artist known for appearing on the remix of Ludacris's song "Splash Waterfalls."
  • D. Hersey
    Hersey is a surname most notably associated with John Hersey, the American writer and journalist renowned for his work "Hiroshima."
  • E. Lipton
    Lipton is a globally recognized tea brand offering a wide range of tea products, including black, green, and herbal varieties.
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f57b5b4c8190ab839e6a98ee86ed completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c819f00819087fef27e4f4fdc1c completed March 28, 2026, 8:39 p.m.
NEDg Description generation batch_69c83ddda5688190be1ec69f23671f60 completed March 28, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_69c83e42b0048190b1abd8ae99c97e38 completed March 28, 2026, 8:46 p.m.
Created at: March 27, 2026, 3:43 p.m.