Triple

T17078432
Position Surface form Disambiguated ID Type / Status
Subject Scott toilet paper E414409 entity
Predicate brandOwner P347 FINISHED
Object Kimberly-Clark E195142 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: Kimberly-Clark | Statement: [Scott toilet paper, brandOwner, Kimberly-Clark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kimberly-Clark
Context triple: [Scott toilet paper, brandOwner, Kimberly-Clark]
  • A. Kimberly-Clark Corporation chosen
    Kimberly-Clark Corporation is a multinational personal care company best known for brands such as Kleenex, Huggies, and Scott paper products.
  • B. Procter & Gamble
    Procter & Gamble is a multinational consumer goods corporation known for a wide range of household, personal care, and hygiene brands sold globally.
  • C. K/O Paper Products
    K/O Paper Products is a television and film production company best known for developing genre and science-fiction projects, including the TV series "Sleepy Hollow."
  • D. McNamara Paper Products
    McNamara Paper Products is a production company known for its involvement in creating film and television projects such as "Fastlane."
  • E. Henkel
    Henkel is a German multinational chemical and consumer goods company best known for its brands in laundry, home care, and adhesives.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe0e9cc8190b6c4b6065b474d1d completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee243c081909aa6d470e002222a completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.