Triple
T753931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newell Brands |
E15510
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
Bernardin
Bernardin is a well-known brand specializing in home canning and preserving supplies, particularly mason jars, lids, and related accessories.
|
E99730
|
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: Bernardin | Statement: [Newell Brands, hasBrand, Bernardin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernardin Context triple: [Newell Brands, hasBrand, Bernardin]
-
A.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
B.
Boncourt
Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
-
C.
de Chomedey
de Chomedey is the family name of Paul de Chomedey, Sieur de Maisonneuve, the French military officer and founder of Montreal.
-
D.
Cantona
Cantona is the surname of Eric Cantona, the iconic French footballer and actor best known for his influential spell at Manchester United in the 1990s.
-
E.
Sauvestre
Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
- 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: Bernardin Triple: [Newell Brands, hasBrand, Bernardin]
Generated description
Bernardin is a well-known brand specializing in home canning and preserving supplies, particularly mason jars, lids, and related accessories.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bernardin Target entity description: Bernardin is a well-known brand specializing in home canning and preserving supplies, particularly mason jars, lids, and related accessories.
-
A.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
B.
Boncourt
Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
-
C.
de Chomedey
de Chomedey is the family name of Paul de Chomedey, Sieur de Maisonneuve, the French military officer and founder of Montreal.
-
D.
Cantona
Cantona is the surname of Eric Cantona, the iconic French footballer and actor best known for his influential spell at Manchester United in the 1990s.
-
E.
Sauvestre
Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
- 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_69a493599a0081908da65f3407af1ef2 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64ecadc8190a82e25444e7abba6 |
completed | March 1, 2026, 8:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a79282d4d481908a2cb0f95a93220e |
completed | March 4, 2026, 2:01 a.m. |
| NEDg | Description generation | batch_69a7946b93088190adca99b9db74ca68 |
completed | March 4, 2026, 2:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a794ea4fd0819099032d14f90dbca5 |
completed | March 4, 2026, 2:11 a.m. |
Created at: March 1, 2026, 7:37 p.m.