Triple

T3479340
Position Surface form Disambiguated ID Type / Status
Subject Richemont E73451 entity
Predicate owns P347 FINISHED
Object Dunhill E58176 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: Dunhill | Statement: [Richemont, owns, Dunhill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dunhill
Context triple: [Richemont, owns, Dunhill]
  • A. Dunhill chosen
    Dunhill is a premium cigarette brand known for its association with luxury and high-quality tobacco products.
  • B. Benson & Hedges
    Benson & Hedges is a long-established premium cigarette brand known for its association with luxury and high-quality tobacco products.
  • 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. Marlboro
    Marlboro is a leading global cigarette brand, widely recognized for its red-and-white packaging and long-running "Marlboro Man" advertising campaign.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb5ca73c81908256e3339a3a6f9f completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681b30b48190918d2821a8383229 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:17 p.m.