Triple
T6251167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regeneron Pharmaceuticals |
E140048
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
REGN
REGN is the stock ticker symbol for Regeneron Pharmaceuticals, a major U.S.-based biotechnology company known for developing innovative antibody-based therapies.
|
E579608
|
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: REGN | Statement: [Regeneron Pharmaceuticals, tickerSymbol, REGN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: REGN Context triple: [Regeneron Pharmaceuticals, tickerSymbol, REGN]
-
A.
REGN-EB3
REGN-EB3 is a monoclonal antibody cocktail developed by Regeneron to treat Ebola virus disease, shown to significantly reduce mortality in clinical trials.
-
B.
Plegridy
Plegridy is a pegylated interferon beta-1a medication used to treat relapsing forms of multiple sclerosis.
-
C.
RÜG
RÜG is the vehicle registration code used for motor vehicles registered in the district of Vorpommern-Rügen in the German state of Mecklenburg-Vorpommern.
-
D.
Reitia
Reitia is an ancient goddess venerated by the Veneti people of northeastern Italy, often linked to writing, healing, and protection.
-
E.
Eltigen
Eltigen is a coastal village on the Kerch Peninsula in Crimea, historically notable as a key site of Soviet amphibious landings during World War II.
- 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: REGN Triple: [Regeneron Pharmaceuticals, tickerSymbol, REGN]
Generated description
REGN is the stock ticker symbol for Regeneron Pharmaceuticals, a major U.S.-based biotechnology company known for developing innovative antibody-based therapies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: REGN Target entity description: REGN is the stock ticker symbol for Regeneron Pharmaceuticals, a major U.S.-based biotechnology company known for developing innovative antibody-based therapies.
-
A.
REGN-EB3
REGN-EB3 is a monoclonal antibody cocktail developed by Regeneron to treat Ebola virus disease, shown to significantly reduce mortality in clinical trials.
-
B.
Plegridy
Plegridy is a pegylated interferon beta-1a medication used to treat relapsing forms of multiple sclerosis.
-
C.
RÜG
RÜG is the vehicle registration code used for motor vehicles registered in the district of Vorpommern-Rügen in the German state of Mecklenburg-Vorpommern.
-
D.
Reitia
Reitia is an ancient goddess venerated by the Veneti people of northeastern Italy, often linked to writing, healing, and protection.
-
E.
Eltigen
Eltigen is a coastal village on the Kerch Peninsula in Crimea, historically notable as a key site of Soviet amphibious landings during World War II.
- 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0633fb2ac8190b71b8e35fa923300 |
completed | March 22, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c244240b448190be3645177194ced6 |
completed | March 24, 2026, 7:58 a.m. |
| NEDg | Description generation | batch_69c2756cf5c88190aed2c5e0916082e7 |
completed | March 24, 2026, 11:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c275d913cc8190be3770f12c271226 |
completed | March 24, 2026, 11:30 a.m. |
Created at: March 22, 2026, 4:24 p.m.