Triple

T17152807
Position Surface form Disambiguated ID Type / Status
Subject Vanilla Coke E416263 entity
Predicate hasVariant P455 FINISHED
Object Diet Vanilla Coke
Diet Vanilla Coke is a low-calorie, sugar-free soft drink that combines Coca-Cola’s classic cola flavor with vanilla.
E416263 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: Diet Vanilla Coke | Statement: [Vanilla Coke, hasVariant, Diet Vanilla Coke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diet Vanilla Coke
Context triple: [Vanilla Coke, hasVariant, Diet Vanilla Coke]
  • A. Vanilla Coke
    Vanilla Coke is a flavored soft drink produced by The Coca-Cola Company that combines the taste of classic Coca-Cola with vanilla.
  • B. Diet Coke
    Diet Coke is a popular sugar-free, low-calorie soft drink that serves as the primary diet cola offering from The Coca-Cola Company.
  • C. Pepsi Vanilla
    Pepsi Vanilla is a flavored cola soft drink that combines the classic taste of Pepsi with added vanilla flavoring.
  • D. Cherry Coke
    Cherry Coke is a cherry-flavored soft drink produced by The Coca-Cola Company as a variation of its classic cola.
  • E. Cherrycoke
    Cherrycoke is a surname most notably associated with Reverend Wicks Cherrycoke, a character in Thomas Pynchon's novel "Mason & Dixon."
  • 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: Diet Vanilla Coke
Triple: [Vanilla Coke, hasVariant, Diet Vanilla Coke]
Generated description
Diet Vanilla Coke is a low-calorie, sugar-free soft drink that combines Coca-Cola’s classic cola flavor with vanilla.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Diet Vanilla Coke
Target entity description: Diet Vanilla Coke is a low-calorie, sugar-free soft drink that combines Coca-Cola’s classic cola flavor with vanilla.
  • A. Vanilla Coke chosen
    Vanilla Coke is a flavored soft drink produced by The Coca-Cola Company that combines the taste of classic Coca-Cola with vanilla.
  • B. Diet Coke
    Diet Coke is a popular sugar-free, low-calorie soft drink that serves as the primary diet cola offering from The Coca-Cola Company.
  • C. Pepsi Vanilla
    Pepsi Vanilla is a flavored cola soft drink that combines the classic taste of Pepsi with added vanilla flavoring.
  • D. Cherry Coke
    Cherry Coke is a cherry-flavored soft drink produced by The Coca-Cola Company as a variation of its classic cola.
  • E. Cherrycoke
    Cherrycoke is a surname most notably associated with Reverend Wicks Cherrycoke, a character in Thomas Pynchon's novel "Mason & Dixon."
  • F. None of above.

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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f40861e08190bad1a3ec87691132 completed April 18, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01415d19288190beb3c94da2ce8c0e completed May 11, 2026, 2:39 a.m.
NEDg Description generation batch_6a01422c0f088190b162c7086bc93585 completed May 11, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0142f274ec819081eb15a3ea0e1b13 completed May 11, 2026, 2:46 a.m.
Created at: April 10, 2026, 5:36 a.m.