Triple
T8757806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Icy Blast |
E208116
|
entity |
| Predicate | brandOf |
P1500
|
FINISHED |
| Object | Irish Spring |
E39022
|
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: Irish Spring | Statement: [Icy Blast, brandOf, Irish Spring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irish Spring Context triple: [Icy Blast, brandOf, Irish Spring]
-
A.
Irish Spring
chosen
Irish Spring is a popular personal care brand best known for its strongly scented bar soaps and body washes marketed for their invigorating, “fresh” feel.
-
B.
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.
-
C.
Charmin
Charmin is a popular brand of toilet paper known for its softness and comfort, produced by Procter & Gamble.
-
D.
Rexona
Rexona is a global deodorant and antiperspirant brand known for its long-lasting sweat and odor protection products.
-
E.
Lifebuoy
Lifebuoy is a long-established global soap and hygiene brand known for its antibacterial products and health-focused marketing.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ddc2d9c81908948aee2b956cce4 |
completed | March 31, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa033e1b4819083521484f46078a1 |
completed | April 3, 2026, 11:10 a.m. |
Created at: March 30, 2026, 6:40 p.m.