Triple

T9968739
Position Surface form Disambiguated ID Type / Status
Subject Rosie Huntington-Whiteley E195749 entity
Predicate workedFor P1910 FINISHED
Object Burberry E317091 NE FINISHED

How this triple was built (2 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: Burberry | Statement: [Rosie Huntington-Whiteley, workedFor, Burberry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burberry
Context triple: [Rosie Huntington-Whiteley, workedFor, Burberry]
  • A. Burberry chosen
    Burberry is a British luxury fashion house renowned for its iconic trench coats, distinctive check pattern, and heritage-inspired apparel and accessories.
  • B. Loewe
    Loewe is a Spanish luxury fashion house renowned for its high-end leather goods, ready-to-wear, and accessories.
  • C. Balmain
    Balmain is a historic inner-west suburb of Sydney, Australia, known for its waterfront location on Sydney Harbour, preserved Victorian architecture, and vibrant pub and café culture.
  • D. Balmain
    Balmain is a French luxury fashion house renowned for its opulent, sharply tailored designs and influential presence on international runways.
  • E. Hugo Boss
    Hugo Boss is a German luxury fashion house known for its high-end menswear, fragrances, and accessories.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b683ac8190ac97bd775a860d29 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23dc117f48190ad66dd62f9833a10 completed April 5, 2026, 10:47 a.m.
Created at: March 30, 2026, 8:47 p.m.