Triple
T2151129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winston (cigarette) |
E47181
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Winston Silver
Winston Silver is a lighter, lower-tar and nicotine variant of the Winston brand of cigarettes.
|
E238744
|
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: Winston Silver | Statement: [Winston (cigarette), hasVariant, Winston Silver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winston Silver Context triple: [Winston (cigarette), hasVariant, Winston Silver]
-
A.
Sid Silvers
Sid Silvers was an American comedian, actor, and writer known for his work in early Hollywood musicals and comedies.
-
B.
Louis Silvers
Louis Silvers was an American composer and musical director best known for scoring early sound films in Hollywood during the late 1920s and 1930s.
-
C.
Henry Tucker
Henry Tucker was a Bermudian politician who became the territory's first premier and played a key role in modernizing its political and economic landscape.
-
D.
Allan Scott
Allan Scott was an American screenwriter best known for his work on classic Hollywood films of the 1930s and 1940s, particularly in the musical and comedy genres.
-
E.
Allan Scott
Allan Scott is a Scottish screenwriter and producer known for his work on films such as "The Preacher's Wife" and for co-creating the Netflix series "The Queen's Gambit."
- 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: Winston Silver Triple: [Winston (cigarette), hasVariant, Winston Silver]
Generated description
Winston Silver is a lighter, lower-tar and nicotine variant of the Winston brand of cigarettes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Winston Silver Target entity description: Winston Silver is a lighter, lower-tar and nicotine variant of the Winston brand of cigarettes.
-
A.
Sid Silvers
Sid Silvers was an American comedian, actor, and writer known for his work in early Hollywood musicals and comedies.
-
B.
Louis Silvers
Louis Silvers was an American composer and musical director best known for scoring early sound films in Hollywood during the late 1920s and 1930s.
-
C.
Henry Tucker
Henry Tucker was a Bermudian politician who became the territory's first premier and played a key role in modernizing its political and economic landscape.
-
D.
Allan Scott
Allan Scott was an American screenwriter best known for his work on classic Hollywood films of the 1930s and 1940s, particularly in the musical and comedy genres.
-
E.
Allan Scott
Allan Scott is a Scottish screenwriter and producer known for his work on films such as "The Preacher's Wife" and for co-creating the Netflix series "The Queen's Gambit."
- 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe4747a0819080e2234f3ea8995f |
completed | March 7, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58dedd3c8190a876819616903392 |
completed | March 9, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69ae59cf88688190a1d963855a643cde |
completed | March 9, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5a3079b08190ba25a44d4041f687 |
completed | March 9, 2026, 5:27 a.m. |
Created at: March 4, 2026, 7:44 p.m.