Triple
T4050928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilead Sciences |
E84182
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object |
Descovy
Descovy is a prescription antiretroviral medication from Gilead Sciences used for the treatment and prevention (PrEP) of HIV-1 infection.
|
E409695
|
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: Descovy | Statement: [Gilead Sciences, product, Descovy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Descovy Context triple: [Gilead Sciences, product, Descovy]
-
A.
Waylivra
Waylivra is a prescription antisense oligonucleotide therapy used to treat familial chylomicronemia syndrome (FCS) by reducing triglyceride levels in the blood.
-
B.
Darzalex
Darzalex is a monoclonal antibody drug (daratumumab) used primarily in the treatment of multiple myeloma.
-
C.
Anpezan
Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
-
D.
Denesuline
Denesuline are a First Nations people of the larger Dene cultural and linguistic group, traditionally inhabiting subarctic regions of northern Canada.
-
E.
Novafora
Novafora was a semiconductor company known for acquiring Transmeta to expand its presence in low-power microprocessor and video processing technologies.
- 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: Descovy Triple: [Gilead Sciences, product, Descovy]
Generated description
Descovy is a prescription antiretroviral medication from Gilead Sciences used for the treatment and prevention (PrEP) of HIV-1 infection.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Descovy Target entity description: Descovy is a prescription antiretroviral medication from Gilead Sciences used for the treatment and prevention (PrEP) of HIV-1 infection.
-
A.
Waylivra
Waylivra is a prescription antisense oligonucleotide therapy used to treat familial chylomicronemia syndrome (FCS) by reducing triglyceride levels in the blood.
-
B.
Darzalex
Darzalex is a monoclonal antibody drug (daratumumab) used primarily in the treatment of multiple myeloma.
-
C.
Anpezan
Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
-
D.
Denesuline
Denesuline are a First Nations people of the larger Dene cultural and linguistic group, traditionally inhabiting subarctic regions of northern Canada.
-
E.
Novafora
Novafora was a semiconductor company known for acquiring Transmeta to expand its presence in low-power microprocessor and video processing technologies.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb8539148190990468c1429be9dd |
completed | March 9, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b55659256081909154569cedd1694a |
completed | March 14, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69b5572b27c48190989311cef00b5f44 |
completed | March 14, 2026, 12:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b55b333ffc8190a5df8b8d7bffa77f |
completed | March 14, 2026, 12:57 p.m. |
Created at: March 9, 2026, 3:37 p.m.