Triple
T23399650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | bapineuzumab |
E559467
|
entity |
| Predicate | isInvestigatedIn |
P69086
|
FINISHED |
| Object | clinical trials for Alzheimer’s disease |
—
|
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: clinical trials for Alzheimer’s disease | Statement: [bapineuzumab, isInvestigatedIn, clinical trials for Alzheimer’s disease]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInvestigatedIn Context triple: [bapineuzumab, isInvestigatedIn, clinical trials for Alzheimer’s disease]
-
A.
areInvestigatedFor
chosen
Indicates that one or more entities are the subject of an investigation concerning a particular issue, incident, or alleged wrongdoing.
-
B.
investigatedFor
Indicates that an entity is the subject of an investigation concerning a suspected involvement in another entity (typically a crime, incident, or wrongdoing).
-
C.
investigatedBy
Indicates that an entity is the subject of an investigation carried out by another entity.
-
D.
investigatedUsing
Indicates that an investigation, study, or analysis was carried out by means of a specified method, tool, or resource.
-
E.
containsInvestigationOf
Indicates that one entity includes or encompasses an investigation or inquiry concerning another entity.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4dedfcc8190ab93cec3c3d15c53 |
completed | April 29, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:37 p.m.