Triple
T6006204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanofi |
E133715
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
Allegra
Allegra is a widely used over-the-counter antihistamine medication for relieving allergy symptoms such as sneezing, runny nose, and itchy or watery eyes.
|
E561779
|
NE FINISHED |
How this triple was built (4 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: Allegra | Statement: [Sanofi, hasBrand, Allegra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allegra Context triple: [Sanofi, hasBrand, Allegra]
-
A.
Zyrtec
Zyrtec is a widely used over-the-counter antihistamine medication primarily taken to relieve allergy symptoms such as sneezing, runny nose, and itchy or watery eyes.
-
B.
Benadryl
Benadryl is a widely used over-the-counter antihistamine medication commonly taken to relieve allergy symptoms such as sneezing, itching, and runny nose.
-
C.
Snoline
Snoline is a Lindsay Corporation brand known for its road safety and traffic management products, such as lane markings and safety systems.
-
D.
Xolair
Xolair is a monoclonal antibody medication used to treat moderate to severe allergic asthma and chronic spontaneous urticaria by targeting immunoglobulin E (IgE).
-
E.
Anpezan
Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Allegra Triple: [Sanofi, hasBrand, Allegra]
Generated description
Allegra is a widely used over-the-counter antihistamine medication for relieving allergy symptoms such as sneezing, runny nose, and itchy or watery eyes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Allegra Target entity description: Allegra is a widely used over-the-counter antihistamine medication for relieving allergy symptoms such as sneezing, runny nose, and itchy or watery eyes.
-
A.
Zyrtec
Zyrtec is a widely used over-the-counter antihistamine medication primarily taken to relieve allergy symptoms such as sneezing, runny nose, and itchy or watery eyes.
-
B.
Benadryl
Benadryl is a widely used over-the-counter antihistamine medication commonly taken to relieve allergy symptoms such as sneezing, itching, and runny nose.
-
C.
Snoline
Snoline is a Lindsay Corporation brand known for its road safety and traffic management products, such as lane markings and safety systems.
-
D.
Xolair
Xolair is a monoclonal antibody medication used to treat moderate to severe allergic asthma and chronic spontaneous urticaria by targeting immunoglobulin E (IgE).
-
E.
Anpezan
Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69c10b7467e88190955014bc060b20e4 |
completed | March 23, 2026, 9:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c10c0a001c81908e3ca53e9491ff9a |
completed | March 23, 2026, 9:46 a.m. |
Created at: March 22, 2026, 4:06 p.m.