Triple
T4050933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilead Sciences |
E84182
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object |
Veklury
Veklury is the brand name for remdesivir, an antiviral medication used primarily to treat COVID-19.
|
E409698
|
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: Veklury | Statement: [Gilead Sciences, product, Veklury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veklury Context triple: [Gilead Sciences, product, Veklury]
-
A.
Veltro
Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
-
B.
Vesancy
Vesancy is a small commune in the Ain department of eastern France, situated in the Auvergne-Rhône-Alpes region near the Swiss border.
-
C.
Relva
Relva is a civil parish located within the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
-
D.
Ovilava
Ovilava was a major Roman-era city in the province of Noricum, located at the site of modern Wels in present-day Austria.
-
E.
Velda
Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
- 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: Veklury Triple: [Gilead Sciences, product, Veklury]
Generated description
Veklury is the brand name for remdesivir, an antiviral medication used primarily to treat COVID-19.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Veklury Target entity description: Veklury is the brand name for remdesivir, an antiviral medication used primarily to treat COVID-19.
-
A.
Veltro
Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
-
B.
Vesancy
Vesancy is a small commune in the Ain department of eastern France, situated in the Auvergne-Rhône-Alpes region near the Swiss border.
-
C.
Relva
Relva is a civil parish located within the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
-
D.
Ovilava
Ovilava was a major Roman-era city in the province of Noricum, located at the site of modern Wels in present-day Austria.
-
E.
Velda
Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
- 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.