Triple

T15553813
Position Surface form Disambiguated ID Type / Status
Subject Hailey Bieber E370817 entity
Predicate hasModeledFor P17880 FINISHED
Object Ugg E835866 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: Ugg | Statement: [Hailey Bieber, hasModeledFor, Ugg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ugg
Context triple: [Hailey Bieber, hasModeledFor, Ugg]
  • A. Ugg chosen
    Ugg is a popular footwear and lifestyle brand best known for its sheepskin boots and casual comfort-focused products.
  • B. Crocs
    Crocs is an American footwear brand best known for its lightweight, colorful clogs made from proprietary foam resin and embraced for both comfort and distinctive style.
  • C. Dr. Martens
    Dr. Martens is a British footwear and clothing brand best known for its durable leather boots with air-cushioned soles, which have become iconic in various subcultures worldwide.
  • D. Coogs
    Coogs is a common shorthand nickname for the University of Houston Cougars athletic teams and their fans.
  • E. Sorel Bliss
    Sorel Bliss is a spirited and theatrically inclined young woman in Noël Coward’s comedy "Hay Fever," known for her dramatic flair and self-absorbed charm within the eccentric Bliss family.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a96c0c88190808f68601a36b506 completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456209288190aba6debd434af741 completed May 9, 2026, 2:32 p.m.
Created at: April 10, 2026, 4:09 a.m.