Triple

T4135038
Position Surface form Disambiguated ID Type / Status
Subject Sprite E85132 entity
Predicate competesWith P1375 FINISHED
Object 7 Up
7 Up is a popular lemon-lime flavored, caffeine-free soft drink brand sold worldwide.
 E414364 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: 7 Up | Statement: [Sprite, competesWith, 7 Up]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 7 Up
Context triple: [Sprite, competesWith, 7 Up]
  • A. The Seven-Ups
    The Seven-Ups is a 1973 American crime thriller film following an elite NYPD unit that uses unorthodox tactics to take down organized crime, starring Roy Scheider.
  • B. Twelve
    Twelve is a boutique publishing imprint known for releasing a small number of carefully selected, high-profile nonfiction and literary titles each year.
  • C. Twelve
    "Twelve" is a 2007 cover album by American musician Patti Smith, featuring her interpretations of classic songs by various artists.
  • D. My Family
    "My Family" is a British television sitcom that follows the comedic misadventures of the Harper family, a middle-class household navigating everyday chaos and family dynamics.
  • E. Kiddyland
    Kiddyland is a children’s amusement area within Playland Park featuring kid-friendly rides and attractions.
  • 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: 7 Up
Triple: [Sprite, competesWith, 7 Up]
Generated description
7 Up is a popular lemon-lime flavored, caffeine-free soft drink brand sold worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 7 Up
Target entity description: 7 Up is a popular lemon-lime flavored, caffeine-free soft drink brand sold worldwide.
  • A. The Seven-Ups
    The Seven-Ups is a 1973 American crime thriller film following an elite NYPD unit that uses unorthodox tactics to take down organized crime, starring Roy Scheider.
  • B. Twelve
    Twelve is a boutique publishing imprint known for releasing a small number of carefully selected, high-profile nonfiction and literary titles each year.
  • C. Twelve
    "Twelve" is a 2007 cover album by American musician Patti Smith, featuring her interpretations of classic songs by various artists.
  • D. My Family
    "My Family" is a British television sitcom that follows the comedic misadventures of the Harper family, a middle-class household navigating everyday chaos and family dynamics.
  • E. Kiddyland
    Kiddyland is a children’s amusement area within Playland Park featuring kid-friendly rides and attractions.
  • 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_69aed935ccd881909dc61f81bcdb7a78 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af023190608190bcc929c5996b7378 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576c75e5c8190acc4ee72cb574432 completed March 14, 2026, 2:55 p.m.
NEDg Description generation batch_69b57799f22481908cfda7e620a77187 completed March 14, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_69b578003dd48190b9264fd834cffbdf completed March 14, 2026, 3 p.m.
Created at: March 9, 2026, 3:43 p.m.