Triple
T2593459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunhill |
E58176
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | Marlboro |
E165752
|
NE FINISHED |
How this triple was built (2 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: Marlboro | Statement: [Dunhill, competesWith, Marlboro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marlboro Context triple: [Dunhill, competesWith, Marlboro]
-
A.
Marlboro
chosen
Marlboro is a leading global cigarette brand, widely recognized for its red-and-white packaging and long-running "Marlboro Man" advertising campaign.
-
B.
Lucky Strike
Lucky Strike is a historic American cigarette brand known for its distinctive packaging and long-standing presence in popular culture.
-
C.
Rothmans
Rothmans is an international cigarette brand known for its premium positioning and long association with motorsport sponsorship, particularly in Formula One and rally racing.
-
D.
Benson & Hedges
Benson & Hedges is a long-established premium cigarette brand known for its association with luxury and high-quality tobacco products.
-
E.
Tareyton
Tareyton is a former American cigarette brand best known for its long-running “Us Tareyton smokers would rather fight than switch” advertising campaign featuring smokers with black eyes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd426e2d4819081a07920b4d2a1cc |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83bee4908190b5e446ddbf4e8889 |
completed | March 10, 2026, 2:36 a.m. |
Created at: March 6, 2026, 9:49 p.m.