Triple

T1282449
Position Surface form Disambiguated ID Type / Status
Subject William Wrigley Jr. E27355 entity
Predicate usedMarketingStrategy P13750 FINISHED
Object premiums and giveaways to promote gum sales LITERAL 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: premiums and giveaways to promote gum sales | Statement: [William Wrigley Jr., usedMarketingStrategy, premiums and giveaways to promote gum sales]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedMarketingStrategy
Context triple: [William Wrigley Jr., usedMarketingStrategy, premiums and giveaways to promote gum sales]
  • A. marketingUse
    Indicates that something is used for marketing purposes, such as promotion, advertising, or brand communication.
  • B. marketingStrategy chosen
    Indicates the approach or plan an entity uses to promote, position, and sell its products or services to a target audience.
  • C. marketUse
    Indicates that something is used, applied, or exploited within a market or commercial context.
  • D. marketStrategy
    Indicates the approach or plan an entity uses to promote, position, and sell its products or services in a target market.
  • E. marketingAs
    Indicates that one entity is being presented, promoted, or branded to others as if it were another specified entity, role, or category.
  • F. None of above.

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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b47be08190828a1c0a11d94ce8 completed March 1, 2026, 10:41 p.m.
PD Predicate disambiguation batch_69a4bee276d8819092f71c5a1140bb61 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:50 p.m.