Triple

T15324925
Position Surface form Disambiguated ID Type / Status
Subject William Kenzo Nakamura E366384 entity
Predicate middleName P143 FINISHED
Object Kenzo E126072 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: Kenzo | Statement: [William Kenzo Nakamura, middleName, Kenzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenzo
Context triple: [William Kenzo Nakamura, middleName, Kenzo]
  • A. Kenzo chosen
    Kenzo is a Japanese masculine given name borne by various notable figures in fields such as architecture, fashion, and entertainment.
  • B. Givenchy
    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.
  • C. St. Laurent
    St. Laurent is the surname of Louis St. Laurent, who served as the 12th prime minister of Canada in the mid-20th century.
  • D. St. Laurent
    St. Laurent is a dark-skinned Austrian red wine grape variety known for producing deeply colored, aromatic wines with cherry and berry flavors, often compared in style to Pinot Noir.
  • E. Saint Laurent
    Saint Laurent is a luxury French fashion house renowned for its high-end ready-to-wear, leather goods, shoes, 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dfd8f048190831b463a2728eafe completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8add7088190b124bd4727bb2f28 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.