Triple

T3428107
Position Surface form Disambiguated ID Type / Status
Subject Fossil Group E72272 entity
Predicate brand P1500 FINISHED
Object Skagen E72273 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: Skagen | Statement: [Fossil Group, brand, Skagen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skagen
Context triple: [Fossil Group, brand, Skagen]
  • A. Skagen chosen
    Skagen is a minimalist Danish-inspired watch and accessories brand known for its clean design aesthetic and modern, affordable timepieces.
  • B. Swatch
    Swatch is a Swiss watchmaker best known for its colorful, affordable fashion watches that helped revitalize the Swiss watch industry in the 1980s.
  • C. Seiko
    Seiko is a Japanese given name commonly used for women and borne by various notable figures in politics, entertainment, and sports.
  • D. Puma (licensed watches)
    Puma (licensed watches) is a line of fashion and sports-inspired timepieces produced under license by Fossil Group for the global Puma lifestyle and athletic brand.
  • E. TAG Heuer
    TAG Heuer is a Swiss luxury watchmaker renowned for its high-end mechanical and connected timepieces that blend traditional craftsmanship with modern technology.
  • 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_69ad85ae14308190bcbc25cfa0246c0b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb983f4608190abcc27aa7b926deb completed March 8, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35478448481908e1c0f717d99f992 completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:15 p.m.