Triple

T2692685
Position Surface form Disambiguated ID Type / Status
Subject Lucky Strike E58439 entity
Predicate hasVariant P455 FINISHED
Object Lucky Strike Silver E58439 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: Lucky Strike Silver | Statement: [Lucky Strike, hasVariant, Lucky Strike Silver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucky Strike Silver
Context triple: [Lucky Strike, hasVariant, Lucky Strike Silver]
  • A. Lucky Strike chosen
    Lucky Strike is a historic American cigarette brand known for its distinctive packaging and long-standing presence in popular culture.
  • B. 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.
  • C. Marlboro
    Marlboro is a leading global cigarette brand, widely recognized for its red-and-white packaging and long-running "Marlboro Man" advertising campaign.
  • D. Old Gold
    Old Gold is a long-standing American cigarette brand best known for its mid-20th-century popularity and distinctive advertising campaigns.
  • E. Dunhill
    Dunhill is a premium cigarette brand known for its association with luxury and high-quality tobacco products.
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda0dd97c81909a60cf200f57c087 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbba22348190a3f70439a6b21e1c completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:54 p.m.