Triple
T8334032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimberly-Clark Corporation |
E195142
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Huggies
Huggies is a well-known brand of disposable diapers and baby care products owned by Kimberly-Clark.
|
E195142
|
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: Huggies | Statement: [Kimberly-Clark Corporation, brand, Huggies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huggies Context triple: [Kimberly-Clark Corporation, brand, Huggies]
-
A.
Diapers.com
Diapers.com was an online retail company specializing in baby products and household essentials, best known as one of the early major e-commerce sites focused on diapers and parenting needs.
-
B.
Lifebuoy
Lifebuoy is a long-established global soap and hygiene brand known for its antibacterial products and health-focused marketing.
-
C.
Charmin
Charmin is a popular brand of toilet paper known for its softness and comfort, produced by Procter & Gamble.
-
D.
Brawny
Brawny is a popular American paper towel brand known for its strong, absorbent products and its iconic lumberjack-themed packaging.
-
E.
Kimberly-Clark Corporation
Kimberly-Clark Corporation is a multinational personal care company best known for brands such as Kleenex, Huggies, and Scott paper products.
- 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: Huggies Triple: [Kimberly-Clark Corporation, brand, Huggies]
Generated description
Huggies is a well-known brand of disposable diapers and baby care products owned by Kimberly-Clark.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huggies Target entity description: Huggies is a well-known brand of disposable diapers and baby care products owned by Kimberly-Clark.
-
A.
Diapers.com
Diapers.com was an online retail company specializing in baby products and household essentials, best known as one of the early major e-commerce sites focused on diapers and parenting needs.
-
B.
Lifebuoy
Lifebuoy is a long-established global soap and hygiene brand known for its antibacterial products and health-focused marketing.
-
C.
Charmin
Charmin is a popular brand of toilet paper known for its softness and comfort, produced by Procter & Gamble.
-
D.
Brawny
Brawny is a popular American paper towel brand known for its strong, absorbent products and its iconic lumberjack-themed packaging.
-
E.
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.
- F. None of above.
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.