Triple
T22918992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mondelez International |
E568804
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
BelVita
BelVita is a line of breakfast biscuits known for their whole-grain recipes and convenient, on-the-go energy.
|
E1561834
|
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: BelVita | Statement: [Mondelez International, brand, BelVita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BelVita Context triple: [Mondelez International, brand, BelVita]
-
A.
Melitta
Melitta is a feminine given name of Greek origin, closely related to Melissa and historically associated with meanings like “bee” and “honey.”
-
B.
Dolce Gusto
Dolce Gusto is a coffee capsule system and brand by Nestlé known for its wide range of espresso and specialty drink pods used with dedicated single-serve machines.
-
C.
Keurig
Keurig is a popular American brand best known for its single-serve pod-based coffee makers widely used in homes and offices.
-
D.
Meco
Meco is a municipality in central Spain’s Community of Madrid, known for its location in the Henares Corridor near Alcalá de Henares.
-
E.
Nescafé
Nescafé is a globally popular brand of instant coffee and related coffee products owned by Nestlé.
- 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: BelVita Triple: [Mondelez International, brand, BelVita]
Generated description
BelVita is a line of breakfast biscuits known for their whole-grain recipes and convenient, on-the-go energy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BelVita Target entity description: BelVita is a line of breakfast biscuits known for their whole-grain recipes and convenient, on-the-go energy.
-
A.
Melitta
Melitta is a feminine given name of Greek origin, closely related to Melissa and historically associated with meanings like “bee” and “honey.”
-
B.
Dolce Gusto
Dolce Gusto is a coffee capsule system and brand by Nestlé known for its wide range of espresso and specialty drink pods used with dedicated single-serve machines.
-
C.
Keurig
Keurig is a popular American brand best known for its single-serve pod-based coffee makers widely used in homes and offices.
-
D.
Meco
Meco is a municipality in central Spain’s Community of Madrid, known for its location in the Henares Corridor near Alcalá de Henares.
-
E.
Nescafé
Nescafé is a globally popular brand of instant coffee and related coffee products owned by Nestlé.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d316188190901d9356c07110e3 |
completed | April 29, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc242d8188190b8c4fba17337d787 |
completed | May 19, 2026, 1:52 a.m. |
| NEDg | Description generation | batch_6a0bc2ea198081909fac3f91b13e444d |
completed | May 19, 2026, 1:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bc36ee72c81908bb65de9d23a2c13 |
completed | May 19, 2026, 1:57 a.m. |
Created at: April 17, 2026, 3:42 p.m.