Triple

T1408419
Position Surface form Disambiguated ID Type / Status
Subject Prada E31748 entity
Predicate creativeDirector P255 FINISHED
Object Miuccia Prada E167023 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: Miuccia Prada | Statement: [Prada, creativeDirector, Miuccia Prada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miuccia Prada
Context triple: [Prada, creativeDirector, Miuccia Prada]
  • A. Miuccia Prada chosen
    Miuccia Prada is an Italian fashion designer and businesswoman who transformed her family’s leather goods company into the globally influential luxury fashion house Prada.
  • B. Martino Prada
    Martino Prada was the original founder of the Italian luxury fashion house Prada, which later became globally renowned under his descendants.
  • C. Carolina Herrera
    Carolina Herrera is a Venezuelan-American fashion designer renowned for her elegant, sophisticated clothing and fragrance lines favored by celebrities and socialites.
  • D. Nicole Miller
    Nicole Miller is an American fashion designer renowned for her modern, feminine womenswear and bold use of color and print.
  • E. Stella McCartney
    Stella McCartney is a British fashion designer renowned for her sustainable, animal-free luxury clothing 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3bf7f0c8190aee96818de6ff4a5 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad159920d48190ace6bc4d37af75eb completed March 8, 2026, 6:22 a.m.
Created at: March 1, 2026, 7:59 p.m.