Triple

T22803034
Position Surface form Disambiguated ID Type / Status
Subject Rosie the waitress E564450 entity
Predicate brandMascotFor P52 FINISHED
Object Bounty paper towels NE NERFINISHED

How this triple was built (4 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: Bounty paper towels | Statement: [Rosie the waitress, brandMascotFor, Bounty paper towels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bounty paper towels
Context triple: [Rosie the waitress, brandMascotFor, Bounty paper towels]
  • A. Cottonelle
    Cottonelle is a popular Kimberly-Clark brand of bathroom tissue and related personal care products known for its softness and comfort.
  • B. Brawny
    Brawny is a popular American paper towel brand known for its strong, absorbent products and its iconic lumberjack-themed packaging.
  • C. Charmin
    Charmin is a popular brand of toilet paper known for its softness and comfort, produced by Procter & Gamble.
  • D. Kleenex
    Kleenex is a widely recognized brand of facial tissues and related paper products known for being a generic term for disposable tissues.
  • E. Hawthorne Wipes
    Hawthorne Wipes is a fictional moist towelette company from the TV show "Community," known as the source of Pierce Hawthorne’s inherited wealth and family legacy.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bounty paper towels
Target entity description: Bounty paper towels is a popular American household paper towel brand known for its strong absorbency and long-running advertising campaigns featuring characters like Rosie the waitress.
  • A. Cottonelle
    Cottonelle is a popular Kimberly-Clark brand of bathroom tissue and related personal care products known for its softness and comfort.
  • B. Brawny chosen
    Brawny is a popular American paper towel brand known for its strong, absorbent products and its iconic lumberjack-themed packaging.
  • C. Charmin
    Charmin is a popular brand of toilet paper known for its softness and comfort, produced by Procter & Gamble.
  • D. Kleenex
    Kleenex is a widely recognized brand of facial tissues and related paper products known for being a generic term for disposable tissues.
  • E. Hawthorne Wipes
    Hawthorne Wipes is a fictional moist towelette company from the TV show "Community," known as the source of Pierce Hawthorne’s inherited wealth and family legacy.
  • F. None of above.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: brandMascotFor
Context triple: [Rosie the waitress, brandMascotFor, Bounty paper towels]
  • A. mascotName
    Indicates the name assigned to a mascot that represents an entity.
  • B. mascotSlogan
    Indicates that a particular slogan is associated with or used by a specific mascot.
  • C. typeOfMascot
    Indicates that one entity is a mascot and specifies the category or kind of mascot it is (e.g., animal, human, object, etc.).
  • D. hasMascot chosen
    Indicates that an entity is represented or symbolized by a particular mascot.
  • E. mascotTheme
    Indicates that an entity serves as the representative mascot associated with a particular theme, concept, or style.
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cdf1e308190a05d0f61856be544 completed April 29, 2026, 3:37 a.m.
PD Predicate disambiguation batch_69eed2cb30f481909566369f515f6eff completed April 27, 2026, 3:06 a.m.
Created at: April 17, 2026, 3:31 p.m.