Triple

T14552251
Position Surface form Disambiguated ID Type / Status
Subject Moss E341447 entity
Predicate hasNotableBearer P458 FINISHED
Object Kate Moss E788639 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: Kate Moss | Statement: [Moss, hasNotableBearer, Kate Moss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kate Moss
Context triple: [Moss, hasNotableBearer, Kate Moss]
  • A. Kate Moss chosen
    Kate Moss is a British supermodel renowned for her waifish figure, influential role in 1990s fashion, and long-standing impact on the global modeling industry.
  • B. Elizabeth Hurley
    Elizabeth Hurley is an English actress, model, and businesswoman best known for her roles in films like "Austin Powers: International Man of Mystery" and for her work as a fashion icon.
  • C. Trudie Styler
    Trudie Styler is an English actress, film producer, and environmental activist, known for her work in independent cinema and philanthropy.
  • D. Naomi Campbell
    Naomi Campbell is a pioneering British supermodel and cultural icon renowned for her influential runway presence, groundbreaking career in high fashion, and work as an actress and philanthropist.
  • E. Elle Macpherson
    Elle Macpherson is an Australian supermodel, actress, and businesswoman renowned for her record Sports Illustrated Swimsuit Issue covers and successful lingerie and wellness brands.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ee34208190bf040a513767c958 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab7d698819085fd81d7b6f96317 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.