Triple
T18414335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cadbury Schweppes |
E441847
|
entity |
| Predicate | brandOwned |
P6092
|
FINISHED |
| Object |
Dentyne
Dentyne is a brand of chewing gum known for its breath-freshening and sugar-free varieties, marketed internationally.
|
E1322868
|
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: Dentyne | Statement: [Cadbury Schweppes, brandOwned, Dentyne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dentyne Context triple: [Cadbury Schweppes, brandOwned, Dentyne]
-
A.
Pepsodent
Pepsodent is a long-established toothpaste brand known for its focus on cavity protection and oral hygiene, marketed globally by major consumer goods companies.
-
B.
Aquafresh
Aquafresh is a popular brand of toothpaste known for its distinctive striped appearance and range of oral care products.
-
C.
Listerine
Listerine is a widely used antiseptic mouthwash brand known for its strong flavor and plaque- and germ-fighting oral care products.
-
D.
Strepsils
Strepsils is a popular brand of medicated throat lozenges used to relieve sore throat and mouth infections.
-
E.
Colgate Thirteen
Colgate Thirteen is a renowned all-male a cappella group from Colgate University known for performing at high-profile events, including the national anthem at Super Bowl XIII.
- 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: Dentyne Triple: [Cadbury Schweppes, brandOwned, Dentyne]
Generated description
Dentyne is a brand of chewing gum known for its breath-freshening and sugar-free varieties, marketed internationally.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dentyne Target entity description: Dentyne is a brand of chewing gum known for its breath-freshening and sugar-free varieties, marketed internationally.
-
A.
Pepsodent
Pepsodent is a long-established toothpaste brand known for its focus on cavity protection and oral hygiene, marketed globally by major consumer goods companies.
-
B.
Aquafresh
Aquafresh is a popular brand of toothpaste known for its distinctive striped appearance and range of oral care products.
-
C.
Listerine
Listerine is a widely used antiseptic mouthwash brand known for its strong flavor and plaque- and germ-fighting oral care products.
-
D.
Strepsils
Strepsils is a popular brand of medicated throat lozenges used to relieve sore throat and mouth infections.
-
E.
Colgate Thirteen
Colgate Thirteen is a renowned all-male a cappella group from Colgate University known for performing at high-profile events, including the national anthem at Super Bowl XIII.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a26d268819098e6791dc98efcda |
completed | April 19, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03e24df9c08190af07a90f394bfc06 |
completed | May 13, 2026, 2:30 a.m. |
| NEDg | Description generation | batch_6a03e6ca2b088190be240bbfe131d9d4 |
completed | May 13, 2026, 2:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03e71c8e9881909000ee5855afbd1d |
completed | May 13, 2026, 2:51 a.m. |
Created at: April 10, 2026, 10:47 a.m.