Triple
T33388479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pomalidomide |
E854983
|
entity |
| Predicate | increasesCytokine |
P24558
|
FINISHED |
| Object | interleukin-2 |
—
|
LITERAL 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: interleukin-2 | Statement: [pomalidomide, increasesCytokine, interleukin-2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: increasesCytokine Context triple: [pomalidomide, increasesCytokine, interleukin-2]
-
A.
increases
Indicates that one entity causes another entity’s value, level, or intensity to become larger or higher.
-
B.
secretedInResponseTo
Indicates that a substance is released or discharged as a direct reaction to a specific stimulus, condition, or event.
-
C.
increasesWith
Indicates that as the value or magnitude of one entity grows, the value or magnitude of another entity correspondingly grows as well.
-
D.
increasesProductionOf
chosen
Indicates that one entity causes a rise or enhancement in the amount or rate at which another entity is produced.
-
E.
firstIncreaseIn
Indicates the point or event at which a quantity or value begins to increase for the first time in a given sequence or process.
- F. None of above.
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_69f3496d54048190a1cb91fdd7caa6ea |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:35 a.m.