Triple

T2009651
Position Surface form Disambiguated ID Type / Status
Subject Stella McCartney E43661 entity
Predicate collaboratedWith P435 FINISHED
Object LVMH E72279 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: LVMH | Statement: [Stella McCartney, collaboratedWith, LVMH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LVMH
Context triple: [Stella McCartney, collaboratedWith, LVMH]
  • A. LVMH chosen
    LVMH is a French multinational luxury conglomerate that owns a wide portfolio of prestigious brands across fashion, jewelry, cosmetics, wines, and spirits.
  • 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. Hermès International
    Hermès International is a French luxury goods manufacturer renowned for its high-end leather goods, fashion accessories, and ready-to-wear collections.
  • D. Richemont
    Richemont is a Swiss-based luxury goods holding company that owns a portfolio of prestigious brands in jewelry, watches, fashion, and accessories.
  • E. Louis Vuitton
    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.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb89be08c81909eb5ea672ea46b2b completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ae5f0748190aecee47884c61ecc completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:37 p.m.