Triple
T21057644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ocrelizumab |
E518760
|
entity |
| Predicate | slows |
P142670
|
FINISHED |
| Object | disability progression in multiple sclerosis |
—
|
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: disability progression in multiple sclerosis | Statement: [ocrelizumab, slows, disability progression in multiple sclerosis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: slows Context triple: [ocrelizumab, slows, disability progression in multiple sclerosis]
-
A.
slowerThan
Indicates that one entity moves or operates at a lower speed than another entity.
-
B.
hasSlowMovement
Indicates that an entity exhibits movement that is slower than a normal or expected speed.
-
C.
isSlowingDown
Indicates that an entity’s speed or rate of activity is decreasing over time.
-
D.
slowMotionVideo
Indicates that the video content is captured or played back at a reduced speed relative to real time, creating a slow-motion effect.
-
E.
accelerates
Indicates that one entity causes an increase in the speed or rate of change of another entity or process.
- F. None of above. chosen
Provenance (4 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd81434c8190aedfddf937f82322 |
completed | April 21, 2026, 4:30 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf9d71881908cd85dfc37db93ca |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:37 p.m.