Triple

T23448628
Position Surface form Disambiguated ID Type / Status
Subject Kelly bag E565611 entity
Predicate hasDesignVariant P39487 FINISHED
Object Kelly To Go
Kelly To Go is a compact, clutch-style reinterpretation of Hermès’ iconic Kelly bag, designed for hands-free, on-the-go use while retaining the signature Kelly aesthetic.
 E1586292 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: Kelly To Go | Statement: [Kelly bag, hasDesignVariant, Kelly To Go]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kelly To Go
Context triple: [Kelly bag, hasDesignVariant, Kelly To Go]
  • A. La Toya
    La Toya is the third studio album by American singer La Toya Jackson, showcasing her 1980s pop and R&B style.
  • B. Katy No-Pocket
    Katy No-Pocket is a classic children's picture book about a kangaroo mother without a pouch, written by Margret Rey and illustrated by H.A. Rey.
  • C. The Kenny
    The Kenny is the affectionate nickname for Kenilworth Road, the historic home stadium of Luton Town Football Club in England.
  • D. E-Kelly
    E-Kelly is a prominent Nigerian music producer known for crafting hit songs across Afrobeats and contemporary African pop.
  • E. Kitz
    Kitz is a popular shorthand name for Kitzbühel, a renowned Austrian Alpine town famous for its ski resort and annual Hahnenkamm downhill race.
  • 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: Kelly To Go
Triple: [Kelly bag, hasDesignVariant, Kelly To Go]
Generated description
Kelly To Go is a compact, clutch-style reinterpretation of Hermès’ iconic Kelly bag, designed for hands-free, on-the-go use while retaining the signature Kelly aesthetic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kelly To Go
Target entity description: Kelly To Go is a compact, clutch-style reinterpretation of Hermès’ iconic Kelly bag, designed for hands-free, on-the-go use while retaining the signature Kelly aesthetic.
  • A. La Toya
    La Toya is the third studio album by American singer La Toya Jackson, showcasing her 1980s pop and R&B style.
  • B. Katy No-Pocket
    Katy No-Pocket is a classic children's picture book about a kangaroo mother without a pouch, written by Margret Rey and illustrated by H.A. Rey.
  • C. The Kenny
    The Kenny is the affectionate nickname for Kenilworth Road, the historic home stadium of Luton Town Football Club in England.
  • D. E-Kelly
    E-Kelly is a prominent Nigerian music producer known for crafting hit songs across Afrobeats and contemporary African pop.
  • E. Kitz
    Kitz is a popular shorthand name for Kitzbühel, a renowned Austrian Alpine town famous for its ski resort and annual Hahnenkamm downhill race.
  • 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a64b27988190b4722425da964407 completed April 29, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67bb72588190b6ba67c57b912f30 completed May 19, 2026, 1:38 p.m.
NEDg Description generation batch_6a0c7218a358819082d8b19b57b61013 completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c76e904b08190a5329a3ed56291dc completed May 19, 2026, 2:42 p.m.
Created at: April 17, 2026, 5:52 p.m.