Triple
T18126721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Morton |
E433894
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Morton Salt |
—
|
NE NERFINISHED |
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: Morton Salt | Statement: [Paul Morton, employer, Morton Salt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morton Salt Context triple: [Paul Morton, employer, Morton Salt]
-
A.
Morton Salt Company
chosen
Morton Salt Company is a major American salt producer and distributor best known for its iconic “Umbrella Girl” logo and widespread consumer and industrial salt products.
-
B.
Morton Salt family
The Morton Salt family is an American industrial dynasty best known for founding and expanding the Morton Salt Company, a leading producer of salt and related products.
-
C.
Nabisco
Nabisco is a major American snack food company best known for iconic brands like Oreo cookies and Ritz crackers.
-
D.
Maggi
Maggi is a popular global food brand best known for its instant noodles, seasonings, and convenience products.
-
E.
Pepperidge Farm
Pepperidge Farm is an American food company best known for its cookies, crackers, and baked goods such as Milano cookies and Goldfish crackers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddee1efc8190b04324b98de5c9d0 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:29 a.m.