Triple

T22694309
Position Surface form Disambiguated ID Type / Status
Subject Fiskars Corporation E561130 entity
Predicate hasBrand P1500 FINISHED
Object Waterford
Waterford is a renowned luxury brand best known for its high-quality crystal glassware and home décor products.
E1552447 NE FINISHED

How this triple was built (4 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: Waterford | Statement: [Fiskars Corporation, hasBrand, Waterford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterford
Context triple: [Fiskars Corporation, hasBrand, Waterford]
  • A. Waterford
    Waterford is a small incorporated city located in Stanislaus County in California’s Central Valley.
  • B. Waterford
    Waterford is a small town and village in eastern New York State, known as the eastern terminus of the Erie Canal and its historic canal locks.
  • C. Waterford
    Waterford is a historic port city in southeast Ireland, renowned as the country’s oldest city and for its traditional crystal glassmaking.
  • D. Waterford
    Waterford is a residential suburb located within Logan City in Queensland, Australia, known for its riverside setting along the Logan River.
  • E. Waterford
    Waterford is a small borough in Erie County, Pennsylvania, known for its historic architecture and role in the early development of the region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Waterford
Triple: [Fiskars Corporation, hasBrand, Waterford]
Generated description
Waterford is a renowned luxury brand best known for its high-quality crystal glassware and home décor products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Waterford
Target entity description: Waterford is a renowned luxury brand best known for its high-quality crystal glassware and home décor products.
  • A. Waterford
    Waterford is a small town and village in eastern New York State, known as the eastern terminus of the Erie Canal and its historic canal locks.
  • B. Waterford
    Waterford is a small incorporated city located in Stanislaus County in California’s Central Valley.
  • C. Waterford
    Waterford is a historic port city in southeast Ireland, renowned as the country’s oldest city and for its traditional crystal glassmaking.
  • D. Waterford
    Waterford is a residential suburb located within Logan City in Queensland, Australia, known for its riverside setting along the Logan River.
  • E. Waterford
    Waterford is a small borough in Erie County, Pennsylvania, known for its historic architecture and role in the early development of the region.
  • F. None of above. chosen

Provenance (5 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789d46c881908176bc8e26f366f6 completed April 29, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b8fb965fc8190830b24f0bf0e2e4d completed May 18, 2026, 10:16 p.m.
NEDg Description generation batch_6a0b93d4b8e08190a0542ffc42f12814 completed May 18, 2026, 10:33 p.m.
NED2 Entity disambiguation (via description) batch_6a0b94bbb9c88190a7ab0937d1b398a5 completed May 18, 2026, 10:37 p.m.
Created at: April 17, 2026, 3:14 p.m.