Triple
T5114928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memantine |
E115307
|
entity |
| Predicate | isMarketedUnderBrandName |
P40804
|
FINISHED |
| Object |
Ebixa
Ebixa is a brand-name medication containing memantine, used primarily to treat moderate to severe Alzheimer's disease.
|
E494106
|
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: Ebixa | Statement: [Memantine, isMarketedUnderBrandName, Ebixa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ebixa Context triple: [Memantine, isMarketedUnderBrandName, Ebixa]
-
A.
Actian
Actian is a data management and analytics company known for its hybrid data platforms and database technologies used in enterprise applications.
-
B.
Jasper Technologies
Jasper Technologies is a cloud-based Internet of Things (IoT) platform provider known for enabling companies to manage and monetize connected devices and services.
-
C.
Nentego
Nentego is the autonym of the Nanticoke people, an Indigenous group historically located in the Mid-Atlantic region of what is now the United States.
-
D.
Looker
Looker is a modern business intelligence and data analytics platform that enables organizations to explore, visualize, and share insights from their data.
-
E.
Tableau
Tableau is a widely used data visualization and business intelligence software platform that enables users to analyze, explore, and present data through interactive dashboards and reports.
- 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: Ebixa Triple: [Memantine, isMarketedUnderBrandName, Ebixa]
Generated description
Ebixa is a brand-name medication containing memantine, used primarily to treat moderate to severe Alzheimer's disease.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ebixa Target entity description: Ebixa is a brand-name medication containing memantine, used primarily to treat moderate to severe Alzheimer's disease.
-
A.
Actian
Actian is a data management and analytics company known for its hybrid data platforms and database technologies used in enterprise applications.
-
B.
Jasper Technologies
Jasper Technologies is a cloud-based Internet of Things (IoT) platform provider known for enabling companies to manage and monetize connected devices and services.
-
C.
Nentego
Nentego is the autonym of the Nanticoke people, an Indigenous group historically located in the Mid-Atlantic region of what is now the United States.
-
D.
Looker
Looker is a modern business intelligence and data analytics platform that enables organizations to explore, visualize, and share insights from their data.
-
E.
Tableau
Tableau is a widely used data visualization and business intelligence software platform that enables users to analyze, explore, and present data through interactive dashboards and reports.
- 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_69bd4441d1648190a54a533895041987 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd77ccb19c8190844c628ff7cfcca2 |
completed | March 20, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bebaadfaac8190aa0407196e5c4c20 |
completed | March 21, 2026, 3:35 p.m. |
| NEDg | Description generation | batch_69bebb1a4370819085bcbe73a0b8c68e |
completed | March 21, 2026, 3:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bebcf63784819097be14bb7dcbf4d9 |
completed | March 21, 2026, 3:44 p.m. |
Created at: March 20, 2026, 1:41 p.m.