Triple

T8334040
Position Surface form Disambiguated ID Type / Status
Subject Kimberly-Clark Corporation E195142 entity
Predicate brand P1500 FINISHED
Object WypAll
WypAll is a Kimberly-Clark brand of professional cleaning and wiping products commonly used in industrial, commercial, and janitorial settings.
 E726045 NE FINISHED

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: WypAll | Statement: [Kimberly-Clark Corporation, brand, WypAll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WypAll
Context triple: [Kimberly-Clark Corporation, brand, WypAll]
  • A. WIL
    WIL is the standard abbreviation used for the Wilmington Blue Rocks minor league baseball team.
  • B. WIL
    WIL is the IATA airport code for Wilson Airport, a busy domestic and regional airport serving Nairobi, Kenya.
  • C. Wicks
    Wicks is a surname most notably associated with former professional basketball player Sidney Wicks.
  • D. WIE
    WIE is the IATA airport code for Wiesbaden Air Base, a military airfield located near Wiesbaden, Germany.
  • E. WU
    WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WypAll
Triple: [Kimberly-Clark Corporation, brand, WypAll]
Generated description
WypAll is a Kimberly-Clark brand of professional cleaning and wiping products commonly used in industrial, commercial, and janitorial settings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WypAll
Target entity description: WypAll is a Kimberly-Clark brand of professional cleaning and wiping products commonly used in industrial, commercial, and janitorial settings.
  • A. WIL
    WIL is the standard abbreviation used for the Wilmington Blue Rocks minor league baseball team.
  • B. WIL
    WIL is the IATA airport code for Wilson Airport, a busy domestic and regional airport serving Nairobi, Kenya.
  • C. Wicks
    Wicks is a surname most notably associated with former professional basketball player Sidney Wicks.
  • D. WIE
    WIE is the IATA airport code for Wiesbaden Air Base, a military airfield located near Wiesbaden, Germany.
  • E. WU
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • F. None of above. chosen

Provenance (5 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_69ca82e87f2c8190bdb71ee29dfc642d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fbe61f481909cde8ab2c42f89fc completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95d19178819090815692e847c4e0 completed April 1, 2026, 10:01 p.m.
NEDg Description generation batch_69cdab61d00c81909ce2c0d718a2dc1a completed April 1, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69cdb2ef889c8190af6efb9473f8804c completed April 2, 2026, 12:06 a.m.
Created at: March 30, 2026, 5:57 p.m.