Triple

T13622276
Position Surface form Disambiguated ID Type / Status
Subject Kiko Mizuhara E325485 entity
Predicate modeledFor P2006 FINISHED
Object Marc Jacobs E205746 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: Marc Jacobs | Statement: [Kiko Mizuhara, modeledFor, Marc Jacobs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Jacobs
Context triple: [Kiko Mizuhara, modeledFor, Marc Jacobs]
  • A. Marc Jacobs chosen
    Marc Jacobs is an influential American fashion designer known for his eponymous label and former role as creative director at Louis Vuitton.
  • B. Nicolas Ghesquière
    Nicolas Ghesquière is a renowned French fashion designer celebrated for his innovative, avant-garde work at major luxury houses.
  • C. Anthony Vaccarello
    Anthony Vaccarello is a Belgian fashion designer best known as the creative director of the luxury French house Saint Laurent.
  • D. Christian Siriano
    Christian Siriano is an American fashion designer known for winning "Project Runway" and for his inclusive, red-carpet–focused couture.
  • E. Kenneth Jay Lane
    Kenneth Jay Lane is a renowned American jewelry designer celebrated for his glamorous, high-quality costume jewelry favored by celebrities and socialites.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe99ddc08190a8d79107c8e176fa completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fa291f48190a0ee7a228ea303bc completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.