Triple
T29091981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tweak: Growing Up on Methamphetamines |
E734877
|
entity |
| Predicate | drugDescribed |
P82705
|
FINISHED |
| Object | methamphetamine |
—
|
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: methamphetamine | Statement: [Tweak: Growing Up on Methamphetamines, drugDescribed, methamphetamine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drugDescribed Context triple: [Tweak: Growing Up on Methamphetamines, drugDescribed, methamphetamine]
-
A.
evaluatedDrug
Indicates that a particular drug has been assessed or tested, typically in the context of a study, experiment, or evaluation process.
-
B.
featuresDrug
chosen
Indicates that something (such as a product, treatment, or context) includes, involves, or prominently uses a particular drug.
-
C.
drugGenericName
Indicates that a drug entity is associated with its generic (non-brand) name.
-
D.
drugClass
Indicates that one entity is classified as a particular pharmacological or therapeutic category of drugs in relation to another entity.
-
E.
numberOfDescribedDrugs
Indicates the quantity of drugs that are being described or specified in a given context.
- 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_69f05b0ed66481908f2e864fa550d2f1 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6617e62fc8190b9a935835fc82bfa |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:06 a.m.