Triple
T11650830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reckitt Benckiser |
E276898
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Dettol |
E938967
|
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: Dettol | Statement: [Reckitt Benckiser, hasBrand, Dettol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dettol Context triple: [Reckitt Benckiser, hasBrand, Dettol]
-
A.
Dettol
chosen
Dettol is a widely used antiseptic and disinfectant brand known for its germ-killing cleaning and personal hygiene products.
-
B.
Lysol
Lysol is a well-known brand of household disinfectant and cleaning products widely used for sanitizing surfaces and killing germs.
-
C.
Listerine
Listerine is a widely used antiseptic mouthwash brand known for its strong flavor and plaque- and germ-fighting oral care products.
-
D.
Domestos
Domestos is a widely sold household cleaning and disinfectant brand known for its powerful bleach-based products.
-
E.
Harpic
Harpic is a widely used brand of toilet and bathroom cleaning products known for its powerful disinfecting and stain-removal formulations.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cea9308190a13f7dd995ea07a4 |
completed | April 10, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef82ce2904819094cf5be87fb14fca |
completed | April 27, 2026, 3:37 p.m. |
Created at: April 8, 2026, 9:39 p.m.