Triple
T8451006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beautiful Boy |
E199796
|
entity |
| Predicate | featuresDrug |
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: [Beautiful Boy, featuresDrug, methamphetamine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresDrug Context triple: [Beautiful Boy, featuresDrug, methamphetamine]
-
A.
featuresDisease
Indicates that an entity exhibits, presents, or is characterized by a particular disease.
-
B.
evaluatesDrug
Indicates that an entity assesses or judges the properties, effectiveness, or impact of a drug.
-
C.
drugGenericName
Indicates that a drug entity is associated with its generic (non-brand) name.
-
D.
relatedDrug
Indicates that one drug has a specified relationship or association with another drug, such as interaction, similarity, or therapeutic linkage.
-
E.
drugProduced
Indicates that a particular drug is manufactured or generated by a specified producer or source.
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe44815488190a912d63512e19af0 |
completed | March 31, 2026, 3:12 p.m. |
| PD | Predicate disambiguation | batch_69cbd0fc634481909842c0a30077bfde |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe12dd0b88190a38ec4d15dcc870b |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 6:09 p.m.