Triple
T32366712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TENAYA |
E827013
|
entity |
| Predicate | evaluatesEfficacyOf |
P97062
|
FINISHED |
| Object | faricimab |
—
|
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: faricimab | Statement: [TENAYA, evaluatesEfficacyOf, faricimab]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evaluatesEfficacyOf Context triple: [TENAYA, evaluatesEfficacyOf, faricimab]
-
A.
evaluatesDrug
Indicates that an entity assesses or judges the properties, effectiveness, or impact of a drug.
-
B.
evaluationUse
Indicates that something is used as a basis, tool, or resource for evaluating or assessing something else.
-
C.
evaluatedDrug
chosen
Indicates that a particular drug has been assessed or tested, typically in the context of a study, experiment, or evaluation process.
-
D.
evaluationModel
Indicates a relationship where one entity serves as a model, standard, or framework used to assess, judge, or measure the performance or quality of another entity.
-
E.
measuredEffect
Indicates that an action or process has produced a specific, quantified outcome or impact on something.
- 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_69f349166d548190887b412fe908e2f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6be9e9e1881909c41e3189585cfd0 |
completed | May 3, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:50 a.m.