Triple
T15982904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vertex Pharmaceuticals |
E387617
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object | Moderna |
E337017
|
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: Moderna | Statement: [Vertex Pharmaceuticals, collaboratesWith, Moderna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moderna Context triple: [Vertex Pharmaceuticals, collaboratesWith, Moderna]
-
A.
Moderna
chosen
Moderna is a biotechnology company best known for pioneering mRNA-based vaccines, including one of the first widely used COVID-19 vaccines.
-
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.
Comirnaty
Comirnaty is the brand name of the Pfizer–BioNTech mRNA COVID-19 vaccine used worldwide for the prevention of coronavirus infection.
-
D.
BioNTech
BioNTech is a German biotechnology company best known for developing one of the first mRNA-based COVID-19 vaccines in partnership with Pfizer.
-
E.
mRNA-1273
mRNA-1273 is a messenger RNA–based COVID-19 vaccine that instructs cells to produce the SARS-CoV-2 spike protein to elicit an immune response.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15755b5548190acfa29eecb11e675 |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3cdf7848190848e9081027dc027 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.