Triple

T10555829
Position Surface form Disambiguated ID Type / Status
Subject John Galliano E249083 entity
Predicate familyName P18 FINISHED
Object Galliano E700727 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: Galliano | Statement: [John Galliano, familyName, Galliano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galliano
Context triple: [John Galliano, familyName, Galliano]
  • A. Galliano chosen
    Galliano is a high-fashion brand led by British designer John Galliano, known for its theatrical, avant-garde couture and dramatic runway presentations.
  • B. Denis of Paris
    Denis of Paris is a 3rd-century Christian martyr and bishop, venerated as the patron saint of Paris and traditionally regarded as one of the city’s earliest evangelizers.
  • C. Guerlain
    Guerlain is a historic French luxury perfume, cosmetics, and skincare house renowned for its iconic fragrances and high-end beauty products.
  • D. Herve
    Herve is a municipality in the province of Liège in Wallonia, eastern Belgium, known for its rural landscape and traditional Herve cheese.
  • E. Nina Ricci
    Nina Ricci is a French luxury fashion house renowned for its elegant haute couture, ready-to-wear collections, and iconic fragrances.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d52712a9988190bf63e7c47f6e6fc1 completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9347ae67081909cb2c3911cb1be67 completed April 10, 2026, 5:33 p.m.
Created at: April 6, 2026, 12:34 p.m.