Triple
T6006205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanofi |
E133715
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Doliprane |
E49847
|
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: Doliprane | Statement: [Sanofi, hasBrand, Doliprane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doliprane Context triple: [Sanofi, hasBrand, Doliprane]
-
A.
Tylenol
chosen
Tylenol is a widely used over-the-counter pain reliever and fever reducer whose active ingredient is acetaminophen (paracetamol).
-
B.
Motrin
Motrin is a widely used over-the-counter ibuprofen pain reliever and fever reducer medication.
-
C.
Actopan
Actopan is a municipality and town in the central Mexican state of Hidalgo, known for its colonial architecture, agricultural production, and regional cuisine.
-
D.
Opekta
Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
-
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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f128354819088971ee398cbda77 |
completed | March 22, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c10895559081908b9efdd32ecef37f |
completed | March 23, 2026, 9:32 a.m. |
Created at: March 22, 2026, 4:06 p.m.