Triple

T14453947
Position Surface form Disambiguated ID Type / Status
Subject Giorgio Armani E358405 entity
Predicate name P16 FINISHED
Object Giorgio Armani E358405 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: Giorgio Armani | Statement: [Giorgio Armani, name, Giorgio Armani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giorgio Armani
Context triple: [Giorgio Armani, name, Giorgio Armani]
  • A. Giorgio Armani chosen
    Giorgio Armani is an Italian fashion designer and founder of the Armani brand, renowned for his minimalist, elegant tailoring and major influence on modern luxury fashion.
  • B. Roberto Cavalli
    Roberto Cavalli is an Italian fashion designer renowned for his glamorous, animal-print–driven aesthetic and luxury clothing and accessories brand.
  • C. Stefano Gabbana
    Stefano Gabbana is an Italian fashion designer best known as the co-founder of the luxury fashion house Dolce & Gabbana.
  • D. Emilio Pucci
    Emilio Pucci was an Italian fashion designer renowned for his vibrant, geometric prints and influential mid-20th-century luxury clothing brand.
  • E. Edoardo Fendi
    Edoardo Fendi was an Italian entrepreneur best known as the co-founder of the luxury fashion house Fendi, which began as a family-run leather and fur workshop in Rome.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91a8bf088190abf5fd4f646b8c62 completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd648f56608190b6d55c592c088575 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:19 a.m.