Triple
T16452847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacob Schweppe |
E399595
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Schweppe
Schweppe is a surname most notably associated with Jacob Schweppe, the 18th-century Swiss-German watchmaker and entrepreneur who pioneered commercial carbonated mineral water.
|
E90826
|
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: Schweppe | Statement: [Jacob Schweppe, familyName, Schweppe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schweppe Context triple: [Jacob Schweppe, familyName, Schweppe]
-
A.
Schweppes
Schweppes is a historic beverage brand best known for its carbonated soft drinks and tonic waters, now owned and marketed in many regions by The Coca-Cola Company.
-
B.
Magners
Magners is a popular Irish cider brand best known for its widely marketed apple cider products.
-
C.
Perrier
Perrier is a French brand of naturally carbonated mineral water known for its distinctive green bottles and strong sparkling taste.
-
D.
San Pellegrino
San Pellegrino is an Italian brand best known for its naturally carbonated mineral water and flavored sparkling beverages.
-
E.
Vittel
Vittel is a French spa town renowned for its mineral water springs and bottled water brand, located in northeastern France.
- 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: Schweppe Triple: [Jacob Schweppe, familyName, Schweppe]
Generated description
Schweppe is a surname most notably associated with Jacob Schweppe, the 18th-century Swiss-German watchmaker and entrepreneur who pioneered commercial carbonated mineral water.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schweppe Target entity description: Schweppe is a surname most notably associated with Jacob Schweppe, the 18th-century Swiss-German watchmaker and entrepreneur who pioneered commercial carbonated mineral water.
-
A.
Schweppes
chosen
Schweppes is a historic beverage brand best known for its carbonated soft drinks and tonic waters, now owned and marketed in many regions by The Coca-Cola Company.
-
B.
Magners
Magners is a popular Irish cider brand best known for its widely marketed apple cider products.
-
C.
Perrier
Perrier is a French brand of naturally carbonated mineral water known for its distinctive green bottles and strong sparkling taste.
-
D.
San Pellegrino
San Pellegrino is an Italian brand best known for its naturally carbonated mineral water and flavored sparkling beverages.
-
E.
Vittel
Vittel is a French spa town renowned for its mineral water springs and bottled water brand, located in northeastern France.
- F. None of above.
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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ce259d88190803930051409d72c |
completed | April 18, 2026, 7:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004598ec088190be80ad70e3f1357e |
completed | May 10, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_6a00461390608190848c3b896042f1fd |
completed | May 10, 2026, 8:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0046a88e048190baa78506808171b8 |
completed | May 10, 2026, 8:49 a.m. |
Created at: April 10, 2026, 5:10 a.m.