Triple
T14155706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Postum Cereal Company |
E350809
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Grape-Nuts |
E891575
|
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: Grape-Nuts | Statement: [Postum Cereal Company, product, Grape-Nuts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grape-Nuts Context triple: [Postum Cereal Company, product, Grape-Nuts]
-
A.
Grape-Nuts
chosen
Grape-Nuts is a crunchy, wheat- and barley-based breakfast cereal known for its dense texture and use in both cereal bowls and recipes.
-
B.
Raisin Bran
Raisin Bran is a popular breakfast cereal consisting of bran flakes and raisins, known for its high fiber content and long-standing presence in the U.S. cereal market.
-
C.
Nutri-Grain
Nutri-Grain is a line of breakfast bars and cereal products known for their fruit-filled, soft-baked snack bars marketed as a convenient on-the-go option.
-
D.
Rice Krispies
Rice Krispies is a novelty song best known for its playful, percussive use of cereal sounds and humorous approach to everyday breakfast.
-
E.
Cap’n Crunch
Cap’n Crunch is a cartoon sea captain mascot best known as the face of the Cap’n Crunch breakfast cereal brand.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6135744c81909a43d659f5fe2895 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd193b72f48190b80ac30d32ab8349 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 12:58 a.m.