Triple
T14116394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Downy |
E339786
|
entity |
| Predicate | hasProductLine |
P3585
|
FINISHED |
| Object | Downy Free & Gentle |
E339786
|
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: Downy Free & Gentle | Statement: [Downy, hasProductLine, Downy Free & Gentle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Downy Free & Gentle Context triple: [Downy, hasProductLine, Downy Free & Gentle]
-
A.
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.
-
B.
Downy
chosen
Downy is a popular fabric softener and laundry care brand known for its long-lasting freshness and fabric-conditioning products.
-
C.
Irish Spring
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.
-
D.
Garnier Fructis
Garnier Fructis is a popular hair care brand known for its fruit-based formulas and wide range of shampoos, conditioners, and styling products.
-
E.
Nexxus
Nexxus is a professional hair care brand known for its salon-quality shampoos, conditioners, and styling products.
- 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_69fcd0baa328819099511dfa7b9666d3 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.