Triple
T22918989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mondelez International |
E568804
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Toblerone
Toblerone is a distinctive Swiss chocolate bar known for its triangular shape and honey-almond nougat flavor.
|
E1561831
|
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: Toblerone | Statement: [Mondelez International, brand, Toblerone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toblerone Context triple: [Mondelez International, brand, Toblerone]
-
A.
Ricola
Ricola is a Swiss company best known for producing herbal cough drops and other herbal-based confectionery products.
-
B.
Maleizen
Maleizen is a village that forms a sub-municipality of Overijse in the Flemish Brabant province of Belgium.
-
C.
Hersey
Hersey is a surname most notably associated with John Hersey, the American writer and journalist renowned for his work "Hiroshima."
-
D.
Ferrero La Marmora
Ferrero La Marmora is an Italian noble family name historically associated with prominent military and political figures, including generals and statesmen of the Kingdom of Sardinia and unified Italy.
-
E.
Mars bar
Mars bar is a popular chocolate candy bar consisting of nougat and caramel covered in milk chocolate, sold internationally under the Mars brand.
- 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: Toblerone Triple: [Mondelez International, brand, Toblerone]
Generated description
Toblerone is a distinctive Swiss chocolate bar known for its triangular shape and honey-almond nougat flavor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toblerone Target entity description: Toblerone is a distinctive Swiss chocolate bar known for its triangular shape and honey-almond nougat flavor.
-
A.
Ricola
Ricola is a Swiss company best known for producing herbal cough drops and other herbal-based confectionery products.
-
B.
Maleizen
Maleizen is a village that forms a sub-municipality of Overijse in the Flemish Brabant province of Belgium.
-
C.
Hersey
Hersey is a surname most notably associated with John Hersey, the American writer and journalist renowned for his work "Hiroshima."
-
D.
Ferrero La Marmora
Ferrero La Marmora is an Italian noble family name historically associated with prominent military and political figures, including generals and statesmen of the Kingdom of Sardinia and unified Italy.
-
E.
Mars bar
Mars bar is a popular chocolate candy bar consisting of nougat and caramel covered in milk chocolate, sold internationally under the Mars brand.
- 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.