Triple

T14891051
Position Surface form Disambiguated ID Type / Status
Subject Louis Vuitton Watches E359753 entity
Predicate hasDesignInfluence P16767 FINISHED
Object Louis Vuitton monogram E58476 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: Louis Vuitton monogram | Statement: [Louis Vuitton Watches, hasDesignInfluence, Louis Vuitton monogram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis Vuitton monogram
Context triple: [Louis Vuitton Watches, hasDesignInfluence, Louis Vuitton monogram]
  • A. Louis Vuitton chosen
    Louis Vuitton is a French luxury fashion house and brand renowned worldwide for its high-end leather goods, ready-to-wear, accessories, and iconic monogram designs.
  • B. Dior wordmark
    The Dior wordmark is the iconic, minimalist typographic logo that represents the French luxury fashion house Christian Dior across its products and branding.
  • C. Loewe
    Loewe is a Spanish luxury fashion house renowned for its high-end leather goods, ready-to-wear, and accessories.
  • D. Lacoste
    Lacoste is a French clothing company best known for its crocodile-logo polo shirts and sportswear.
  • E. Fendi
    Fendi is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and iconic handbags.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f883288190af602633fa7d6860 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b61407481908a618d14c56d2abf completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 2:10 a.m.