Triple
T4850378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pfizer |
E108398
|
entity |
| Predicate | developed |
P73
|
FINISHED |
| Object |
Lyrica
Lyrica is a prescription medication (pregabalin) commonly used to treat nerve pain, fibromyalgia, and certain types of seizures.
|
E474930
|
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: Lyrica | Statement: [Pfizer, developed, Lyrica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyrica Context triple: [Pfizer, developed, Lyrica]
-
A.
Cymbalta
Cymbalta is a prescription antidepressant medication (duloxetine) commonly used to treat major depressive disorder, generalized anxiety disorder, and certain types of chronic pain.
-
B.
Motrin
Motrin is a widely used over-the-counter ibuprofen pain reliever and fever reducer medication.
-
C.
Daypro
Daypro is a prescription nonsteroidal anti-inflammatory drug (NSAID) containing oxaprozin, used to relieve pain and inflammation in conditions such as osteoarthritis and rheumatoid arthritis.
-
D.
Anpezan
Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
-
E.
riluzole
Riluzole is a neuroprotective medication that modestly prolongs survival and slows disease progression in people with amyotrophic lateral sclerosis (ALS).
- 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: Lyrica Triple: [Pfizer, developed, Lyrica]
Generated description
Lyrica is a prescription medication (pregabalin) commonly used to treat nerve pain, fibromyalgia, and certain types of seizures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lyrica Target entity description: Lyrica is a prescription medication (pregabalin) commonly used to treat nerve pain, fibromyalgia, and certain types of seizures.
-
A.
Cymbalta
Cymbalta is a prescription antidepressant medication (duloxetine) commonly used to treat major depressive disorder, generalized anxiety disorder, and certain types of chronic pain.
-
B.
Motrin
Motrin is a widely used over-the-counter ibuprofen pain reliever and fever reducer medication.
-
C.
Daypro
Daypro is a prescription nonsteroidal anti-inflammatory drug (NSAID) containing oxaprozin, used to relieve pain and inflammation in conditions such as osteoarthritis and rheumatoid arthritis.
-
D.
Anpezan
Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
-
E.
riluzole
Riluzole is a neuroprotective medication that modestly prolongs survival and slows disease progression in people with amyotrophic lateral sclerosis (ALS).
- 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_69bd440a89548190a5f14ba6da6b97dc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d1e5cf08190bd6b6a524748f170 |
completed | March 20, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cdefda8819095fbc04446bf32f5 |
completed | March 21, 2026, 8:54 a.m. |
| NEDg | Description generation | batch_69be5dadcec88190bf9a272c4a9aef9a |
completed | March 21, 2026, 8:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be6159ff7c8190baa116240f76dea5 |
completed | March 21, 2026, 9:14 a.m. |
Created at: March 20, 2026, 1:25 p.m.