Triple
T32366713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TENAYA |
E827013
|
entity |
| Predicate | evaluatesSafetyOf |
P41950
|
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, evaluatesSafetyOf, faricimab]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evaluatesSafetyOf Context triple: [TENAYA, evaluatesSafetyOf, faricimab]
-
A.
safetyRationale
Indicates the reasoning or justification provided to explain how and why something is considered safe or made safe.
-
B.
measuresSafetyUsing
chosen
Indicates that an entity evaluates or assesses safety by employing a specified method, tool, or standard.
-
C.
safetyResponse
Indicates how an entity reacts or what measures it takes in response to a potential or actual safety-related situation.
-
D.
safetyOutcome
Indicates the resulting condition or consequence related to safety that arises from an action, event, or situation.
-
E.
safetyRelevant
Indicates that the associated entity, condition, or information has a direct impact on safety or is critical for preventing harm or accidents.
- 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_69f6c1bb5f248190834161b5a6ba1ece |
completed | May 3, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 12:50 a.m.