Triple

T16281733
Position Surface form Disambiguated ID Type / Status
Subject Christine Nagel E395278 entity
Predicate workedFor P1910 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: [Christine Nagel, workedFor, Giorgio Armani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giorgio Armani
Context triple: [Christine Nagel, workedFor, 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24910c6b881909ae5cc0908dd8eb2 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c6b72081908a21e5099f463b62 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.