Triple

T16049582
Position Surface form Disambiguated ID Type / Status
Subject Alexander Wang E389316 entity
Predicate collaboration P1854 FINISHED
Object Alexander Wang x H&M collection E389316 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: Alexander Wang x H&M collection | Statement: [Alexander Wang, collaboration, Alexander Wang x H&M collection]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexander Wang x H&M collection
Context triple: [Alexander Wang, collaboration, Alexander Wang x H&M collection]
  • A. Alexander Wang chosen
    Alexander Wang is an American fashion designer known for his edgy, minimalist aesthetic and influential work at his eponymous label and as former creative director of Balenciaga.
  • B. Alexandr Wang
    Alexandr Wang is an American entrepreneur best known as the co-founder and CEO of AI data company Scale AI.
  • C. JW Anderson
    JW Anderson is a London-based fashion label founded by Northern Irish designer Jonathan Anderson, known for its innovative, gender-fluid designs and influential collaborations.
  • D. Proenza Schouler
    Proenza Schouler is a New York–based luxury fashion label known for its modern, refined womenswear and innovative tailoring.
  • 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.

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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18361083c8190abc84534265dc992 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbe095908190ba10399ad6f3b5f8 completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:56 a.m.