Triple

T16494049
Position Surface form Disambiguated ID Type / Status
Subject Alticor E400636 entity
Predicate ownsBrand P1500 FINISHED
Object Amway E182922 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: Amway | Statement: [Alticor, ownsBrand, Amway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amway
Context triple: [Alticor, ownsBrand, Amway]
  • A. Amway chosen
    Amway is a global multi-level marketing company that sells health, beauty, and home care products through a network of independent distributors.
  • B. Herbalife
    Herbalife is a global multi-level marketing company that sells nutritional supplements and weight-management products.
  • C. Tupperware Brands
    Tupperware Brands is a global direct-selling company best known for its durable, reusable plastic food storage and kitchenware products.
  • D. The Wonderful Company
    The Wonderful Company is a privately held U.S. food and beverage conglomerate best known for brands like POM Wonderful, Wonderful Pistachios, and Fiji Water.
  • E. J. Peterman Company
    J. Peterman Company is a real-life clothing and accessories retailer best known for its whimsical, narrative-style catalogs and for being humorously featured as Elaine Benes’s workplace on the TV show *Seinfeld*.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e3189c8819097e6ba62f24b1f6c completed April 18, 2026, 7:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00607cbc80819088505d8bdd663109 completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 5:13 a.m.