Triple

T2800629
Position Surface form Disambiguated ID Type / Status
Subject wedding of Prince Harry and Meghan Markle E53143 entity
Predicate weddingDressBrand P40804 FINISHED
Object Givenchy E57810 NE FINISHED

How this triple was built (3 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: Givenchy | Statement: [wedding of Prince Harry and Meghan Markle, weddingDressBrand, Givenchy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Givenchy
Context triple: [wedding of Prince Harry and Meghan Markle, weddingDressBrand, Givenchy]
  • A. Givenchy chosen
    Givenchy is a renowned French luxury fashion and perfume house known for its haute couture, ready-to-wear collections, and iconic collaborations with celebrities and models.
  • B. Chanel
    Chanel is a legendary French luxury fashion house renowned for its haute couture, ready-to-wear, handbags, fragrances, and timeless designs such as the Chanel No. 5 perfume and the classic tweed suit.
  • C. Kenzo
    Kenzo is a Japanese masculine given name borne by various notable figures in fields such as architecture, fashion, and entertainment.
  • D. Nina Ricci
    Nina Ricci is a French luxury fashion house renowned for its elegant haute couture, ready-to-wear collections, and iconic fragrances.
  • E. Balmain
    Balmain is a historic inner-west suburb of Sydney, Australia, known for its waterfront location on Sydney Harbour, preserved Victorian architecture, and vibrant pub and café culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: weddingDressBrand
Context triple: [wedding of Prince Harry and Meghan Markle, weddingDressBrand, Givenchy]
  • A. ceremonialDressFeature
    Indicates that one entity is a characteristic, component, or distinguishing element of another entity’s ceremonial dress or attire.
  • B. parentBrand
    Indicates that one brand is the overarching or owning brand from which another brand is derived or subordinated.
  • C. hasBrandName chosen
    Indicates that an entity is associated with or identified by a specific brand name.
  • D. relatedBrand
    Indicates a relationship where one brand is associated with, connected to, or otherwise related to another brand.
  • E. wreathColor
    Indicates the color associated with a given wreath.
  • F. None of above.

Provenance (4 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abde2ec2ac8190bd702ad3eafb6aed completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc66ad9cc81908af6d3816a840c75 completed March 10, 2026, 7:21 a.m.
PD Predicate disambiguation batch_69abdd059f308190853191f6ffe2bc6f completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:58 p.m.