Triple

T14373008
Position Surface form Disambiguated ID Type / Status
Subject Glenmorangie E356401 entity
Predicate ownedBy P347 FINISHED
Object Moët Hennessy Louis Vuitton E356397 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: Moët Hennessy Louis Vuitton | Statement: [Glenmorangie, ownedBy, Moët Hennessy Louis Vuitton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moët Hennessy Louis Vuitton
Context triple: [Glenmorangie, ownedBy, Moët Hennessy Louis Vuitton]
  • A. LVMH
    LVMH is a French multinational luxury conglomerate that owns a wide portfolio of prestigious brands across fashion, jewelry, cosmetics, wines, and spirits.
  • B. Moët Hennessy chosen
    Moët Hennessy is a leading French producer and distributor of luxury wines and spirits, known for prestigious champagne and cognac brands.
  • C. 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.
  • D. Pernod Ricard
    Pernod Ricard is a major French wine and spirits company known globally for brands such as Absolut, Jameson, and Chivas Regal.
  • E. Richemont
    Richemont is a Swiss-based luxury goods holding company that owns a portfolio of prestigious brands in jewelry, watches, fashion, and accessories.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9007184c8190aebb003cb6548cc8 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda907abf88190b86ce65390d9ca40 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:15 a.m.