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.