Triple
T12451947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rexona |
E297552
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Rexona MotionSense |
E297552
|
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: Rexona MotionSense | Statement: [Rexona, hasVariant, Rexona MotionSense]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rexona MotionSense Context triple: [Rexona, hasVariant, Rexona MotionSense]
-
A.
Rexona
chosen
Rexona is a global deodorant and antiperspirant brand known for its long-lasting sweat and odor protection products.
-
B.
Febreze
Febreze is a popular household odor-eliminating product line known for its air fresheners and fabric refreshers.
-
C.
Air Wick
Air Wick is a popular brand of air fresheners and home fragrance products known for its sprays, plug-ins, candles, and diffusers.
-
D.
Harpic
Harpic is a widely used brand of toilet and bathroom cleaning products known for its powerful disinfecting and stain-removal formulations.
-
E.
Nest Protect
Nest Protect is a smart smoke and carbon monoxide detector that connects to Wi‑Fi to provide voice alerts, smartphone notifications, and advanced safety monitoring for homes.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d9fa5f0819080ca9f6efa212c59 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f16e87c8190b7e9f61561ae865a |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.