Triple
T10488447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon "Sick Boy" Williamson |
E247350
|
entity |
| Predicate | drugOfChoice |
P36323
|
FINISHED |
| Object | heroin |
—
|
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: heroin | Statement: [Simon "Sick Boy" Williamson, drugOfChoice, heroin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drugOfChoice Context triple: [Simon "Sick Boy" Williamson, drugOfChoice, heroin]
-
A.
drugClass
Indicates that one entity is classified as a particular pharmacological or therapeutic category of drugs in relation to another entity.
-
B.
usesDrug
chosen
Indicates that an entity consumes, administers, or otherwise makes use of a specified drug.
-
C.
isProdrugOf
Indicates that one substance is a precursor form that is metabolized in the body to produce the active form of another substance.
-
D.
isFirstDrugApprovedFor
Indicates that a drug is the earliest or original medication approved for treating a particular condition, disease, or indication.
-
E.
drugProduced
Indicates that a particular drug is manufactured or generated by a specified producer or source.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5096b609c81909e23fd8fb6426f4a |
completed | April 7, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8a30848190b33cf43f005a028e |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:23 p.m.