Triple

T5553764
Position Surface form Disambiguated ID Type / Status
Subject Suzie Chapstick E145587 entity
Predicate promotedProduct P36108 FINISHED
Object ChapStick E223885 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: ChapStick | Statement: [Suzie Chapstick, promotedProduct, ChapStick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ChapStick
Context triple: [Suzie Chapstick, promotedProduct, ChapStick]
  • A. 5 Gum
    5 Gum is a popular sugar-free chewing gum brand known for its intense flavors and sleek, modern packaging aimed at teens and young adults.
  • B. Altoids
    Altoids are a long-standing brand of strong, peppermint-flavored mints popularly marketed as "Curiously Strong" and sold in distinctive metal tins.
  • C. Blistex chosen
    Blistex is an American company best known for producing lip care and other medicated skin care products.
  • D. Juicy Fruit
    Juicy Fruit is a long-running fruit-flavored chewing gum brand produced by Wrigley, known for its distinctive sweet taste and bright yellow packaging.
  • E. Listerine
    Listerine is a widely used antiseptic mouthwash brand known for its strong flavor and plaque- and germ-fighting oral care products.
  • 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ff9c9c48190b5e587d58c6515d8 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cfc6f808190a39c607f61dcfa32 completed March 22, 2026, 8:11 p.m.
Created at: March 22, 2026, 3:36 p.m.