Triple
T7750888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LO |
E175756
|
entity |
| Predicate | associatedBrand |
P1500
|
FINISHED |
| Object | Old Gold |
E175754
|
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: Old Gold | Statement: [LO, associatedBrand, Old Gold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Gold Context triple: [LO, associatedBrand, Old Gold]
-
A.
Old Gold
chosen
Old Gold is a long-standing American cigarette brand best known for its mid-20th-century popularity and distinctive advertising campaigns.
-
B.
Lucky Strike
Lucky Strike is a historic American cigarette brand known for its distinctive packaging and long-standing presence in popular culture.
-
C.
Dunhill
Dunhill is a premium cigarette brand known for its association with luxury and high-quality tobacco products.
-
D.
Benson & Hedges
Benson & Hedges is a long-established premium cigarette brand known for its association with luxury and high-quality tobacco products.
-
E.
Gold City
Gold City is a nickname for Dahlonega, Georgia, a historic town famed for its early 19th-century gold rush and mining heritage.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703b264c0819095c37534a676531d |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be576274819092e5ebdbcf2361da |
completed | March 29, 2026, 5:53 a.m. |
Created at: March 27, 2026, 4:08 p.m.