Triple
T3824271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jarden Corporation |
E88647
|
entity |
| Predicate | ownsBrand |
P1500
|
FINISHED |
| Object | FoodSaver |
E88632
|
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: FoodSaver | Statement: [Jarden Corporation, ownsBrand, FoodSaver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FoodSaver Context triple: [Jarden Corporation, ownsBrand, FoodSaver]
-
A.
FoodSaver
chosen
FoodSaver is a consumer brand best known for its home vacuum sealing systems that help preserve and store food for longer periods.
-
B.
Canning
Canning is an English surname most notably associated with George Canning, a 19th-century British statesman and briefly Prime Minister.
-
C.
Saveur
Saveur is a culinary magazine known for its in-depth exploration of global cuisines, food culture, and travel.
-
D.
Tupper
Tupper is a surname of English and Scottish origin borne by various notable individuals across fields such as politics, literature, and the arts.
-
E.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
- 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb6223808190aee0c15259eeeecd |
completed | March 9, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503f9df8c8190b42c544e827d6c76 |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:17 p.m.