Triple
T9632001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katalin Karikó |
E232829
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | BioNTech |
E232831
|
NE FINISHED |
How this triple was built (2 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: BioNTech | Statement: [Katalin Karikó, employer, BioNTech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BioNTech Context triple: [Katalin Karikó, employer, BioNTech]
-
A.
BioNTech
chosen
BioNTech is a German biotechnology company best known for developing one of the first mRNA-based COVID-19 vaccines in partnership with Pfizer.
-
B.
Pfizer–BioNTech
Pfizer–BioNTech is a pharmaceutical partnership best known for developing one of the first widely authorized mRNA vaccines against COVID-19.
-
C.
Regeneron Pharmaceuticals
Regeneron Pharmaceuticals is a leading American biotechnology company known for developing innovative antibody-based therapies for serious diseases, including eye disorders, cancer, and inflammatory conditions.
-
D.
Janssen Biotech
Janssen Biotech is a biopharmaceutical company known for developing and manufacturing innovative biologic therapies, including the blockbuster monoclonal antibody Remicade.
-
E.
Moderna
Moderna is a biotechnology company best known for pioneering mRNA-based vaccines, including one of the first widely used COVID-19 vaccines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca848940cc8190b97cec654cb3bb4a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b2783b48190a9929dc3e3cd2956 |
completed | April 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18232e34c8190a19685ee9210e88b |
completed | April 4, 2026, 9:27 p.m. |
Created at: March 30, 2026, 8:11 p.m.