Triple

T15215356
Position Surface form Disambiguated ID Type / Status
Subject Fashion Walk of Fame E363623 entity
Predicate hasPlaqueFor P10975 FINISHED
Object Halston E325066 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: Halston | Statement: [Fashion Walk of Fame, hasPlaqueFor, Halston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halston
Context triple: [Fashion Walk of Fame, hasPlaqueFor, Halston]
  • A. Halston chosen
    Halston is a biographical drama miniseries that chronicles the rise and fall of the iconic American fashion designer Roy Halston Frowick.
  • B. Bill Blass
    Bill Blass was an influential American fashion designer known for his elegant, tailored womenswear and high-profile collaborations with major brands.
  • C. David Lauren
    David Lauren is an American businessman and executive at the fashion company Ralph Lauren, founded by his father Ralph Lauren.
  • D. Ralph Lauren
    Ralph Lauren is an American fashion designer and business executive best known for founding the Ralph Lauren Corporation and its iconic Polo Ralph Lauren brand.
  • E. Perry Ellis
    Perry Ellis was an influential American fashion designer known for his innovative, relaxed approach to sportswear that helped redefine modern menswear and womenswear in the late 20th century.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076e4348819091fa91c1562e7c5c completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed343f51481908f04c35d37b39ad2 completed May 9, 2026, 6:25 a.m.
Created at: April 10, 2026, 3:11 a.m.