Triple

T704134
Position Surface form Disambiguated ID Type / Status
Subject The Coca-Cola Company E14062 entity
Predicate brand P1500 FINISHED
Object Innocent Drinks
Innocent Drinks is a UK-based beverage company best known for its fruit smoothies, juices, and health-focused drinks made with natural ingredients.
 E92096 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: Innocent Drinks | Statement: [The Coca-Cola Company, brand, Innocent Drinks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Innocent Drinks
Context triple: [The Coca-Cola Company, brand, Innocent Drinks]
  • A. Schweppes
    Schweppes is a historic beverage brand best known for its carbonated soft drinks and tonic waters, now owned and marketed in many regions by The Coca-Cola Company.
  • B. P-Cola
    P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
  • C. Fanta
    Fanta is a globally popular fruit-flavored soft drink brand known for its bright colors and wide variety of flavors.
  • D. Coca-Cola
    Coca-Cola is a globally recognized carbonated soft drink, known for its distinctive cola flavor and iconic red-and-white branding.
  • E. Dasani
    Dasani is a bottled water brand owned by The Coca-Cola Company, known for its purified water with added minerals for taste and wide distribution in retail markets.
  • 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: Innocent Drinks
Triple: [The Coca-Cola Company, brand, Innocent Drinks]
Generated description
Innocent Drinks is a UK-based beverage company best known for its fruit smoothies, juices, and health-focused drinks made with natural ingredients.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Innocent Drinks
Target entity description: Innocent Drinks is a UK-based beverage company best known for its fruit smoothies, juices, and health-focused drinks made with natural ingredients.
  • A. Schweppes
    Schweppes is a historic beverage brand best known for its carbonated soft drinks and tonic waters, now owned and marketed in many regions by The Coca-Cola Company.
  • B. P-Cola
    P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
  • C. Fanta
    Fanta is a globally popular fruit-flavored soft drink brand known for its bright colors and wide variety of flavors.
  • D. Coca-Cola
    Coca-Cola is a globally recognized carbonated soft drink, known for its distinctive cola flavor and iconic red-and-white branding.
  • E. Dasani
    Dasani is a bottled water brand owned by The Coca-Cola Company, known for its purified water with added minerals for taste and wide distribution in retail markets.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a533fa788190bba0f55655469c46 completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66d9140148190a439ac7a03ee88b2 completed March 3, 2026, 5:11 a.m.
NEDg Description generation batch_69a66e046bbc8190848a0d0115dc34bd completed March 3, 2026, 5:13 a.m.
NED2 Entity disambiguation (via description) batch_69a66fdd09b081909056bff1a32d413c completed March 3, 2026, 5:21 a.m.
Created at: March 1, 2026, 7:36 p.m.