Triple
T1776285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speed Stick |
E38986
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Speed Stick Deodorant |
E38986
|
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: Speed Stick Deodorant | Statement: [Speed Stick, hasVariant, Speed Stick Deodorant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Speed Stick Deodorant Context triple: [Speed Stick, hasVariant, Speed Stick Deodorant]
-
A.
Speed Stick Antiperspirant
Speed Stick Antiperspirant is a personal care product designed to reduce underarm sweat and odor, typically marketed as a long-lasting, solid stick deodorant.
-
B.
Speed Stick
chosen
Speed Stick is a popular line of men’s deodorant and antiperspirant products known for its solid stick format and long-lasting odor protection.
-
C.
Lady Speed Stick
Lady Speed Stick is a women-focused line of antiperspirant and deodorant products marketed under the Speed Stick brand.
-
D.
Brillo
Brillo is a lightweight, Android-based operating system developed by Google for powering and managing Internet of Things (IoT) devices.
-
E.
Listerine
Listerine is a widely used antiseptic mouthwash brand known for its strong flavor and plaque- and germ-fighting oral care 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64b839608190b32bc041267458d5 |
completed | March 6, 2026, 5:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5c96694819085f3ccafb141802f |
completed | March 8, 2026, 5:45 p.m. |
Created at: March 4, 2026, 7:31 p.m.