Triple
T11650839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reckitt Benckiser |
E276898
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Mucinex |
E938970
|
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: Mucinex | Statement: [Reckitt Benckiser, hasBrand, Mucinex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mucinex Context triple: [Reckitt Benckiser, hasBrand, Mucinex]
-
A.
Mucinex
chosen
Mucinex is an over-the-counter expectorant medication, best known for helping relieve chest congestion by thinning and loosening mucus.
-
B.
Snoline
Snoline is a Lindsay Corporation brand known for its road safety and traffic management products, such as lane markings and safety systems.
-
C.
Vicks
Vicks is a well-known over-the-counter healthcare brand recognized for its cold, cough, and flu relief products such as VapoRub and cough syrups.
-
D.
Tylenol
Tylenol is a widely used over-the-counter pain reliever and fever reducer whose active ingredient is acetaminophen (paracetamol).
-
E.
Pepto-Bismol
Pepto-Bismol is an over-the-counter medication commonly used to relieve digestive issues such as nausea, heartburn, indigestion, upset stomach, and diarrhea.
- 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_69ef138faf4c81908043c71550048d75 |
completed | April 27, 2026, 7:43 a.m. |
Created at: April 8, 2026, 9:39 p.m.