Triple

T14117025
Position Surface form Disambiguated ID Type / Status
Subject Bounty E339798 entity
Predicate competitor P1375 FINISHED
Object Scott paper towels E726047 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: Scott paper towels | Statement: [Bounty, competitor, Scott paper towels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scott paper towels
Context triple: [Bounty, competitor, Scott paper towels]
  • A. Scott toilet paper
    Scott toilet paper is a long-established American bathroom tissue brand known for its value-oriented, high-sheet-count rolls and wide availability in major retail stores.
  • B. Cottonelle
    Cottonelle is a popular Kimberly-Clark brand of bathroom tissue and related personal care products known for its softness and comfort.
  • C. Brawny
    Brawny is a popular American paper towel brand known for its strong, absorbent products and its iconic lumberjack-themed packaging.
  • D. Scott Shop Towels chosen
    Scott Shop Towels are heavy-duty, absorbent paper towels designed for cleaning up tough messes in garages, workshops, and industrial settings.
  • E. Irving Tissue
    Irving Tissue is a North American manufacturer of tissue and paper products, known for producing household paper brands as part of the J.D. Irving group of companies.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6010a03c81909f5f160f8d1fa8fa completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0baa328819099511dfa7b9666d3 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.