Triple
T21289791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Schimmel |
E524754
|
entity |
| Predicate | coFounded |
P104
|
FINISHED |
| Object |
aTyr Pharma
aTyr Pharma is a biotherapeutics company focused on developing innovative protein-based therapies, particularly targeting rare and severe diseases.
|
E1475995
|
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: aTyr Pharma | Statement: [Paul Schimmel, coFounded, aTyr Pharma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: aTyr Pharma Context triple: [Paul Schimmel, coFounded, aTyr Pharma]
-
A.
Array BioPharma
Array BioPharma is a biopharmaceutical company known for developing targeted small-molecule cancer therapies, particularly in oncology and rare diseases.
-
B.
Acorda Therapeutics
Acorda Therapeutics is a biopharmaceutical company specializing in therapies for neurological disorders, particularly multiple sclerosis and other central nervous system conditions.
-
C.
Abellion
Abellion is a Celtic deity, likely associated with the sun or light, venerated in the region of ancient Aquitania.
-
D.
Ariad Pharmaceuticals
Ariad Pharmaceuticals was a biotechnology company focused on developing targeted therapies for cancer and other serious diseases.
-
E.
Insitro
Insitro is a biotechnology company that uses machine learning and high-throughput biology to accelerate drug discovery and development.
- 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: aTyr Pharma Triple: [Paul Schimmel, coFounded, aTyr Pharma]
Generated description
aTyr Pharma is a biotherapeutics company focused on developing innovative protein-based therapies, particularly targeting rare and severe diseases.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: aTyr Pharma Target entity description: aTyr Pharma is a biotherapeutics company focused on developing innovative protein-based therapies, particularly targeting rare and severe diseases.
-
A.
Array BioPharma
Array BioPharma is a biopharmaceutical company known for developing targeted small-molecule cancer therapies, particularly in oncology and rare diseases.
-
B.
Acorda Therapeutics
Acorda Therapeutics is a biopharmaceutical company specializing in therapies for neurological disorders, particularly multiple sclerosis and other central nervous system conditions.
-
C.
Abellion
Abellion is a Celtic deity, likely associated with the sun or light, venerated in the region of ancient Aquitania.
-
D.
Ariad Pharmaceuticals
Ariad Pharmaceuticals was a biotechnology company focused on developing targeted therapies for cancer and other serious diseases.
-
E.
Insitro
Insitro is a biotechnology company that uses machine learning and high-throughput biology to accelerate drug discovery and development.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d9467881908ec5b1dec76e6f5d |
completed | April 21, 2026, 8:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09980c3fbc8190aefe065a0d6cd8b5 |
completed | May 17, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a0998a3326481908a4dfddfb7b2ecd9 |
completed | May 17, 2026, 10:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09996de1fc81908f538cb8656e83f1 |
completed | May 17, 2026, 10:33 a.m. |
Created at: April 16, 2026, 4:03 p.m.