Triple
T21289786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Schimmel |
E524754
|
entity |
| Predicate | coFounded |
P104
|
FINISHED |
| Object | Alkermes |
—
|
NE NERFINISHED |
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: Alkermes | Statement: [Paul Schimmel, coFounded, Alkermes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alkermes Context triple: [Paul Schimmel, coFounded, Alkermes]
-
A.
Alkermes
chosen
Alkermes is a biopharmaceutical company that develops innovative medicines for central nervous system disorders and other serious chronic diseases.
-
B.
Jazz Pharmaceuticals
Jazz Pharmaceuticals is a biopharmaceutical company specializing in developing and commercializing innovative medicines for sleep disorders, oncology, and rare diseases.
-
C.
Cephalon
Cephalon was a biopharmaceutical company known for developing and marketing specialty drugs in areas such as central nervous system disorders, pain management, and oncology.
-
D.
Biogen
Biogen is a major American biotechnology company known for developing therapies for neurological and neurodegenerative diseases.
-
E.
Vertex Pharmaceuticals
Vertex Pharmaceuticals is a biotechnology company best known for developing transformative therapies for cystic fibrosis and other serious diseases using a precision medicine approach.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d9467881908ec5b1dec76e6f5d |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:03 p.m.