Triple
T15172299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newport Box |
E362516
|
entity |
| Predicate | isMarketedAs |
P5087
|
FINISHED |
| Object |
Newport Box Menthol
Newport Box Menthol is a menthol-flavored variant of Newport brand cigarettes, known for its minty taste and filtered box packaging.
|
E1142595
|
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: Newport Box Menthol | Statement: [Newport Box, isMarketedAs, Newport Box Menthol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Newport Box Menthol Context triple: [Newport Box, isMarketedAs, Newport Box Menthol]
-
A.
Barclay Menthol
Barclay Menthol is a menthol-flavored variant of the Barclay brand of cigarettes.
-
B.
Kent Menthol
Kent Menthol is a menthol-flavored variant of the Kent brand of cigarettes, offering a minty, cooling smoking experience.
-
C.
L&M Menthol
L&M Menthol is a menthol-flavored variant of the L&M cigarette brand, offering a cooler, minty smoking experience.
-
D.
Parliament Menthol
Parliament Menthol is a menthol-flavored variant of Parliament cigarettes known for its recessed filter and smoother, minty taste.
-
E.
Snuff
Snuff is a transgressive novel by Chuck Palahniuk that satirically explores pornography, celebrity, and exploitation through the story of a record-breaking adult film shoot.
- 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: Newport Box Menthol Triple: [Newport Box, isMarketedAs, Newport Box Menthol]
Generated description
Newport Box Menthol is a menthol-flavored variant of Newport brand cigarettes, known for its minty taste and filtered box packaging.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Newport Box Menthol Target entity description: Newport Box Menthol is a menthol-flavored variant of Newport brand cigarettes, known for its minty taste and filtered box packaging.
-
A.
Barclay Menthol
Barclay Menthol is a menthol-flavored variant of the Barclay brand of cigarettes.
-
B.
Kent Menthol
Kent Menthol is a menthol-flavored variant of the Kent brand of cigarettes, offering a minty, cooling smoking experience.
-
C.
L&M Menthol
L&M Menthol is a menthol-flavored variant of the L&M cigarette brand, offering a cooler, minty smoking experience.
-
D.
Parliament Menthol
Parliament Menthol is a menthol-flavored variant of Parliament cigarettes known for its recessed filter and smoother, minty taste.
-
E.
Snuff
Snuff is a transgressive novel by Chuck Palahniuk that satirically explores pornography, celebrity, and exploitation through the story of a record-breaking adult film shoot.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006501b488190a2ab09dbf1532571 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec88c69088190a61f0a5719e99b87 |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69fec93109c08190a3499e4520e31604 |
completed | May 9, 2026, 5:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fecc6fa8f88190aa6956e6e2b1f8ab |
completed | May 9, 2026, 5:55 a.m. |
Created at: April 10, 2026, 3:09 a.m.