Triple
T2151155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winston |
E47182
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Winston White
Winston White is a variant of the Winston brand of cigarettes distinguished primarily by its white packaging and milder blend.
|
E245088
|
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 White | Statement: [Winston, hasVariant, Winston White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winston White Context triple: [Winston, hasVariant, Winston White]
-
A.
Harvey White
Harvey White is an American engineer and entrepreneur best known as a co-founder and early leader of the telecommunications technology company Qualcomm.
-
B.
Winston Silver
Winston Silver is a lighter, lower-tar and nicotine variant of the Winston brand of cigarettes.
-
C.
Harry Warden
Harry Warden is the murderous, pickaxe-wielding miner who serves as the central slasher antagonist in the My Bloody Valentine horror franchise.
-
D.
Ralph Carter
Ralph Carter is an American actor and singer best known for playing Michael Evans, the youngest son, on the 1970s sitcom "Good Times."
-
E.
Walter
Walter is a masculine given name of Germanic origin that has been widely used in English-speaking countries.
- 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 White Triple: [Winston, hasVariant, Winston White]
Generated description
Winston White is a variant of the Winston brand of cigarettes distinguished primarily by its white packaging and milder blend.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Winston White Target entity description: Winston White is a variant of the Winston brand of cigarettes distinguished primarily by its white packaging and milder blend.
-
A.
Harvey White
Harvey White is an American engineer and entrepreneur best known as a co-founder and early leader of the telecommunications technology company Qualcomm.
-
B.
Winston Silver
Winston Silver is a lighter, lower-tar and nicotine variant of the Winston brand of cigarettes.
-
C.
Harry Warden
Harry Warden is the murderous, pickaxe-wielding miner who serves as the central slasher antagonist in the My Bloody Valentine horror franchise.
-
D.
Ralph Carter
Ralph Carter is an American actor and singer best known for playing Michael Evans, the youngest son, on the 1970s sitcom "Good Times."
-
E.
Walter
Walter is a masculine given name of Germanic origin that has been widely used in English-speaking countries.
- 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_69ae653677ec8190ab0b044e005a9947 |
completed | March 9, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69ae6656f7788190818179d923b11bba |
completed | March 9, 2026, 6:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae66cc3ac0819096e3f246b10e7761 |
completed | March 9, 2026, 6:21 a.m. |
Created at: March 4, 2026, 7:44 p.m.