Triple

T16239451
Position Surface form Disambiguated ID Type / Status
Subject Hesketh Racing E394201 entity
Predicate sponsoredBy P67 FINISHED
Object Rizla
Rizla is a well-known brand of rolling papers commonly associated with tobacco and motorsport sponsorships.
 E1202896 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: Rizla | Statement: [Hesketh Racing, sponsoredBy, Rizla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rizla
Context triple: [Hesketh Racing, sponsoredBy, Rizla]
  • A. Marlboro
    Marlboro is a leading global cigarette brand, widely recognized for its red-and-white packaging and long-running "Marlboro Man" advertising campaign.
  • B. Marlboro
    Marlboro is a Gautrain rapid-rail station in northern Johannesburg, South Africa, serving as a key transit point between the city and its suburbs.
  • C. Marlboros
    Marlboros refers to the historic Toronto Marlboros, a once-prominent junior ice hockey team that served as a key developmental affiliate for the Toronto Maple Leafs.
  • D. 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.
  • 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. 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: Rizla
Triple: [Hesketh Racing, sponsoredBy, Rizla]
Generated description
Rizla is a well-known brand of rolling papers commonly associated with tobacco and motorsport sponsorships.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rizla
Target entity description: Rizla is a well-known brand of rolling papers commonly associated with tobacco and motorsport sponsorships.
  • A. Marlboro
    Marlboro is a leading global cigarette brand, widely recognized for its red-and-white packaging and long-running "Marlboro Man" advertising campaign.
  • B. Marlboro
    Marlboro is a Gautrain rapid-rail station in northern Johannesburg, South Africa, serving as a key transit point between the city and its suburbs.
  • C. Marlboros
    Marlboros refers to the historic Toronto Marlboros, a once-prominent junior ice hockey team that served as a key developmental affiliate for the Toronto Maple Leafs.
  • D. 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.
  • 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. 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455d5270819090171d4207223a28 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000edaf76c8190acc01f58845e570a completed May 10, 2026, 4:51 a.m.
NEDg Description generation batch_6a0011f7f3fc8190a3a3bf260b391e78 completed May 10, 2026, 5:04 a.m.
NED2 Entity disambiguation (via description) batch_6a0012e9913481908ee5ada2fce507f4 completed May 10, 2026, 5:08 a.m.
Created at: April 10, 2026, 5:04 a.m.