Triple

T2715212
Position Surface form Disambiguated ID Type / Status
Subject Roush Fenway Racing E59950 entity
Predicate majorSponsorHistory P35612 FINISHED
Object Advocare E103591 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: Advocare | Statement: [Roush Fenway Racing, majorSponsorHistory, Advocare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Advocare
Context triple: [Roush Fenway Racing, majorSponsorHistory, Advocare]
  • A. Nestlé Health Science
    Nestlé Health Science is a global business unit of Nestlé focused on developing science-based nutritional products and therapies for health management and medical nutrition.
  • B. Amway
    Amway is a global multi-level marketing company that sells health, beauty, and home care products through a network of independent distributors.
  • C. Herbalife chosen
    Herbalife is a global multi-level marketing company that sells nutritional supplements and weight-management products.
  • D. Kenvue
    Kenvue is a consumer health company that owns well-known over-the-counter medicine and personal care brands formerly housed within Johnson & Johnson.
  • E. Swanson
    Swanson is a well-known American food brand recognized for its canned broths, stocks, and frozen meals.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abdd1fc30c81909ac06588d50abdf8 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb68a3cb881909fd29018154ae4d3 completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:55 p.m.