Triple

T2694360
Position Surface form Disambiguated ID Type / Status
Subject Louis Vuitton E58476 entity
Predicate hasBrand P1500 FINISHED
Object Louis Vuitton (brand) 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 (brand) | Statement: [Louis Vuitton, hasBrand, Louis Vuitton (brand)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis Vuitton (brand)
Context triple: [Louis Vuitton, hasBrand, Louis Vuitton (brand)]
  • 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. Kering
    Kering is a French multinational luxury group that owns and manages high-end fashion and leather goods brands such as Gucci, Saint Laurent, and Bottega Veneta.
  • C. Prada
    Prada is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and accessories.
  • D. Gucci
    Gucci is a renowned Italian luxury fashion house known for its high-end clothing, accessories, and iconic branding.
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda10a9bc81908473d02ab9116cef completed March 7, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf6804b48190ac0bfe464da93025 completed March 10, 2026, 5:43 a.m.
Created at: March 6, 2026, 9:55 p.m.