Triple

T11338824
Position Surface form Disambiguated ID Type / Status
Subject Cara Delevingne E268541 entity
Predicate modeledFor P2006 FINISHED
Object Mulberry
Mulberry is a British luxury fashion brand best known for its high-quality leather handbags and accessories.
 E919918 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: Mulberry | Statement: [Cara Delevingne, modeledFor, Mulberry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mulberry
Context triple: [Cara Delevingne, modeledFor, Mulberry]
  • A. Morus
    Morus is a genus of deciduous trees commonly known as mulberries, valued for their sweet, edible fruits and use in silkworm cultivation.
  • B. Plumeret
    Plumeret was an architect known for designing the iconic Parisian music hall Folies Bergère.
  • C. Plum
    Plum is the affectionate nickname of P. G. Wodehouse, the celebrated English humorist and creator of the Jeeves and Wooster stories.
  • D. Plum
    Plum is a suburban borough in Allegheny County, Pennsylvania, known for its residential communities and proximity to Pittsburgh.
  • E. Mallow
    Mallow is a town in north County Cork, Ireland, known historically as a market and spa town on the River Blackwater.
  • 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: Mulberry
Triple: [Cara Delevingne, modeledFor, Mulberry]
Generated description
Mulberry is a British luxury fashion brand best known for its high-quality leather handbags and accessories.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mulberry
Target entity description: Mulberry is a British luxury fashion brand best known for its high-quality leather handbags and accessories.
  • A. Morus
    Morus is a genus of deciduous trees commonly known as mulberries, valued for their sweet, edible fruits and use in silkworm cultivation.
  • B. Plumeret
    Plumeret was an architect known for designing the iconic Parisian music hall Folies Bergère.
  • C. Plum
    Plum is the affectionate nickname of P. G. Wodehouse, the celebrated English humorist and creator of the Jeeves and Wooster stories.
  • D. Plum
    Plum is a suburban borough in Allegheny County, Pennsylvania, known for its residential communities and proximity to Pittsburgh.
  • E. Mallow
    Mallow is a town in north County Cork, Ireland, known historically as a market and spa town on the River Blackwater.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea008b5081908e6c6c6fc29ef936 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5433d3e848190ad4f51c23d5a8bb2 completed April 19, 2026, 9:03 p.m.
NEDg Description generation batch_69e5474879088190990468d960b26739 completed April 19, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_69e54eccdd3881908536ee3f9f4ef516 completed April 19, 2026, 9:53 p.m.
Created at: April 8, 2026, 9:33 p.m.