Triple

T13848776
Position Surface form Disambiguated ID Type / Status
Subject Clémence Poésy E332878 entity
Predicate modeledFor P2006 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: [Clémence Poésy, modeledFor, Burberry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burberry
Context triple: [Clémence Poésy, modeledFor, 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. Belstaff
    Belstaff is a British heritage fashion brand renowned for its premium motorcycle-inspired outerwear and rugged luxury apparel.
  • C. Loewe
    Loewe is a Spanish luxury fashion house renowned for its high-end leather goods, ready-to-wear, and accessories.
  • D. 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.
  • E. Balmain
    Balmain is a French luxury fashion house renowned for its opulent, sharply tailored designs and influential presence on international runways.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b2a9788190b164760adec64ef6 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0f35ba48190b8b071679251233f completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.