Triple
T9632094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BioNTech |
E232831
|
entity |
| Predicate | developed |
P73
|
FINISHED |
| Object | Comirnaty |
E335285
|
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: Comirnaty | Statement: [BioNTech, developed, Comirnaty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Comirnaty Context triple: [BioNTech, developed, Comirnaty]
-
A.
Vaxzevria COVID-19 vaccine
Vaxzevria COVID-19 vaccine is a viral vector coronavirus vaccine created to prevent COVID-19 infection and severe disease in adults.
-
B.
Janssen COVID-19 Vaccine
The Janssen COVID-19 Vaccine is a single-dose, viral vector-based coronavirus vaccine developed by Janssen Pharmaceuticals, a subsidiary of Johnson & Johnson, for the prevention of COVID-19.
-
C.
Moderna
Moderna is a biotechnology company best known for pioneering mRNA-based vaccines, including one of the first widely used COVID-19 vaccines.
-
D.
Sinovac
Sinovac is a Chinese biopharmaceutical company best known globally for developing the inactivated COVID-19 vaccine CoronaVac.
-
E.
Pfizer–BioNTech
chosen
Pfizer–BioNTech is a pharmaceutical partnership best known for developing one of the first widely authorized mRNA vaccines against COVID-19.
- 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.