Triple

T6168649
Position Surface form Disambiguated ID Type / Status
Subject Adrian E137635 entity
Predicate influencedBy P9 FINISHED
Object Paris couture E568 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: Paris couture | Statement: [Adrian, influencedBy, Paris couture]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris couture
Context triple: [Adrian, influencedBy, Paris couture]
  • A. Paris Fashion Week
    Paris Fashion Week is one of the world’s most prestigious fashion events, where leading designers and luxury brands present their latest collections on the global stage.
  • B. Paris Salon
    The Paris Salon was the official, highly influential art exhibition of the Académie des Beaux-Arts in 19th-century Paris, serving as the central venue for artists to gain recognition and shape artistic taste in France and beyond.
  • C. Saint-Laurent
    Saint-Laurent is a borough of Montreal known as a major residential and industrial hub on the Island of Montreal in Quebec, Canada.
  • D. Grasse
    Grasse is a town in southeastern France renowned as the world’s perfume capital and a historic center of the fragrance industry.
  • E. Paris chosen
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • 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_69c008a68c508190a8d78245c865960e completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d8de56481909583104c70a52616 completed March 22, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141a947808190ac68e6f00858a573 completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:18 p.m.