Triple

T14959150
Position Surface form Disambiguated ID Type / Status
Subject Lauren Hutton E373013 entity
Predicate modeledFor P2006 FINISHED
Object Calvin Klein E39385 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: Calvin Klein | Statement: [Lauren Hutton, modeledFor, Calvin Klein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calvin Klein
Context triple: [Lauren Hutton, modeledFor, Calvin Klein]
  • A. Calvin Klein chosen
    Calvin Klein is an American fashion brand renowned for its minimalist aesthetic, iconic underwear and denim lines, and influential advertising campaigns.
  • B. Tommy Hilfiger
    Tommy Hilfiger is an American fashion brand and designer known for his classic, preppy clothing and accessories that blend traditional Americana with modern style.
  • C. J.Crew (historically)
    J.Crew is an American multi-brand, multi-channel retailer known for its classic, preppy clothing and accessories, which historically operated a flagship store on London's Regent Street.
  • D. 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.
  • E. Kenzo
    Kenzo is a Japanese masculine given name borne by various notable figures in fields such as architecture, fashion, and entertainment.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cd85bc81909040b7ff78f62554 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bda691481909c2d89a362782ed8 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:40 a.m.