Triple
T14117056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charmin |
E339799
|
entity |
| Predicate | hasProductVariant |
P455
|
FINISHED |
| Object | Charmin Essentials Soft |
E339799
|
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: Charmin Essentials Soft | Statement: [Charmin, hasProductVariant, Charmin Essentials Soft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charmin Essentials Soft Context triple: [Charmin, hasProductVariant, Charmin Essentials Soft]
-
A.
Charmin
chosen
Charmin is a popular brand of toilet paper known for its softness and comfort, produced by Procter & Gamble.
-
B.
Cottonelle
Cottonelle is a popular Kimberly-Clark brand of bathroom tissue and related personal care products known for its softness and comfort.
-
C.
Charmin Bear
Charmin Bear is the animated, family-friendly bear character featured in Charmin toilet paper commercials, known for humorously emphasizing softness and bathroom comfort.
-
D.
Tampax
Tampax is a leading global brand of feminine hygiene products, best known for its tampons.
-
E.
Suavitel
Suavitel is a popular fabric softener brand known for its long-lasting fragrances and softening properties, marketed primarily in Latin American and U.S. Hispanic households.
- 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_69fd19356478819083406440c22c38e2 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 9, 2026, 10:22 p.m.