Triple

T14356191
Position Surface form Disambiguated ID Type / Status
Subject Hella Jongerius E355975 entity
Predicate hasWorkedFor P11675 FINISHED
Object IKEA E189093 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: IKEA | Statement: [Hella Jongerius, hasWorkedFor, IKEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IKEA
Context triple: [Hella Jongerius, hasWorkedFor, IKEA]
  • A. IKEA chosen
    IKEA is a multinational Swedish-founded retailer known for its affordable, flat-pack furniture, home goods, and large warehouse-style stores worldwide.
  • B. Inter IKEA Systems B.V.
    Inter IKEA Systems B.V. is the Dutch-based company that owns and manages the IKEA concept, brand, and franchising system worldwide.
  • C. Iittala
    Iittala is a Finnish design brand renowned for its high-quality glassware and timeless Scandinavian tableware and home objects.
  • D. Crate & Barrel
    Crate & Barrel is an American retail chain specializing in contemporary furniture, housewares, and home décor.
  • E. Electrolux
    Electrolux is a Swedish multinational home appliance manufacturer known for producing a wide range of kitchen and cleaning products for both consumers and professionals.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f519bf881908615f4d47e0f77aa completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c473fa48190866ab946971e971c completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:15 a.m.