Triple
T23200255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Associated British Foods |
E579986
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object |
Ryvita
Ryvita is a British brand best known for its crispbread and other wholegrain, high-fibre snack products.
|
E1575439
|
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: Ryvita | Statement: [Associated British Foods, owns, Ryvita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryvita Context triple: [Associated British Foods, owns, Ryvita]
-
A.
Triscuit
Triscuit is a popular American brand of baked whole-grain wheat crackers known for their woven texture and simple ingredients.
-
B.
Ritz crackers
Ritz crackers are a popular brand of lightly salted, buttery round snack crackers known for their flaky texture and versatility.
-
C.
Crispi
Crispi is an Italian surname most notably associated with Francesco Crispi, a prominent 19th-century Italian statesman and former Prime Minister.
-
D.
Pillsbury Crescents
Pillsbury Crescents are a popular refrigerated crescent roll dough product known for their flaky texture and convenience in baking.
-
E.
Pretzel
Pretzel is a classic children's picture book by Margret Rey, best known for its story about an unusually long dachshund and its charming illustrations.
- 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: Ryvita Triple: [Associated British Foods, owns, Ryvita]
Generated description
Ryvita is a British brand best known for its crispbread and other wholegrain, high-fibre snack products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ryvita Target entity description: Ryvita is a British brand best known for its crispbread and other wholegrain, high-fibre snack products.
-
A.
Triscuit
Triscuit is a popular American brand of baked whole-grain wheat crackers known for their woven texture and simple ingredients.
-
B.
Ritz crackers
Ritz crackers are a popular brand of lightly salted, buttery round snack crackers known for their flaky texture and versatility.
-
C.
Crispi
Crispi is an Italian surname most notably associated with Francesco Crispi, a prominent 19th-century Italian statesman and former Prime Minister.
-
D.
Pillsbury Crescents
Pillsbury Crescents are a popular refrigerated crescent roll dough product known for their flaky texture and convenience in baking.
-
E.
Pretzel
Pretzel is a classic children's picture book by Margret Rey, best known for its story about an unusually long dachshund and its charming illustrations.
- 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f19078f28c8190973f1bd6f2bceb5a |
completed | April 29, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30c0ca108190bde7fe9fba83d732 |
completed | May 19, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_6a0c330135cc8190b5a0e512bda6277d |
completed | May 19, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c375dd5a4819097a80ae43a1c4442 |
completed | May 19, 2026, 10:11 a.m. |
Created at: April 17, 2026, 4:06 p.m.