Triple
T14116395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Downy |
E339786
|
entity |
| Predicate | hasProductLine |
P3585
|
FINISHED |
| Object | Downy WrinkleGuard |
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 WrinkleGuard | Statement: [Downy, hasProductLine, Downy WrinkleGuard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Downy WrinkleGuard Context triple: [Downy, hasProductLine, Downy WrinkleGuard]
-
A.
Neutrogena Wing
Neutrogena Wing is a dedicated gallery space within the Museum of International Folk Art that showcases a significant collection of global folk and traditional arts.
-
B.
Brioni
Brioni is an Italian luxury menswear brand renowned for its high-end tailored suits and sartorial craftsmanship.
-
C.
Dermablend
Dermablend is a professional-grade cosmetic brand known for its high-coverage, dermatologist-tested makeup products designed to conceal skin imperfections and provide long-lasting wear.
-
D.
Burdines
Burdines was a Florida-based department store chain known for its prominent presence in the state’s retail landscape before being absorbed into the Macy’s brand.
-
E.
Downy
chosen
Downy is a popular fabric softener and laundry care brand known for its long-lasting freshness and fabric-conditioning 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.