Triple

T8002239
Position Surface form Disambiguated ID Type / Status
Subject Tasty E186276 entity
Predicate hasTrack P3284 FINISHED
Object Sugar Honey Iced Tea
"Sugar Honey Iced Tea" is a song by the American rock band Tasty.
 E704174 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: Sugar Honey Iced Tea | Statement: [Tasty, hasTrack, Sugar Honey Iced Tea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sugar Honey Iced Tea
Context triple: [Tasty, hasTrack, Sugar Honey Iced Tea]
  • A. Long Island Iced Tea
    Long Island Iced Tea is a strong, mixed cocktail typically made with multiple spirits, sour mix, and cola, known for its high alcohol content despite its resemblance to iced tea.
  • B. Arizona Iced Tea
    Arizona Iced Tea is a popular American beverage brand best known for its large, affordably priced cans of iced tea and juice drinks.
  • C. Honey for Tea
    Honey for Tea is a British television series featuring actor Crispin Bonham-Carter among its cast.
  • 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. Ginger Ale
    Ginger Ale is a supporting character in the action-comedy film "Kingsman: The Golden Circle," serving as a skilled American Statesman agent who assists the Kingsman organization.
  • 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: Sugar Honey Iced Tea
Triple: [Tasty, hasTrack, Sugar Honey Iced Tea]
Generated description
"Sugar Honey Iced Tea" is a song by the American rock band Tasty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sugar Honey Iced Tea
Target entity description: "Sugar Honey Iced Tea" is a song by the American rock band Tasty.
  • A. Long Island Iced Tea
    Long Island Iced Tea is a strong, mixed cocktail typically made with multiple spirits, sour mix, and cola, known for its high alcohol content despite its resemblance to iced tea.
  • B. Arizona Iced Tea
    Arizona Iced Tea is a popular American beverage brand best known for its large, affordably priced cans of iced tea and juice drinks.
  • C. Honey for Tea
    Honey for Tea is a British television series featuring actor Crispin Bonham-Carter among its cast.
  • 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. Ginger Ale
    Ginger Ale is a supporting character in the action-comedy film "Kingsman: The Golden Circle," serving as a skilled American Statesman agent who assists the Kingsman organization.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf2918081909ee0afab11caed63 completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe11aefc88190bcf614e936455927 completed March 31, 2026, 2:58 p.m.
NEDg Description generation batch_69cbe441b76881909efa791b74316088 completed March 31, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc34749ae08190a1d30919a0594bfd completed March 31, 2026, 8:54 p.m.
Created at: March 30, 2026, 5:18 p.m.