Triple
T34103214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cap’n Cook |
E874630
|
entity |
| Predicate | drugOfTrade |
P77758
|
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: [Cap’n Cook, drugOfTrade, methamphetamine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drugOfTrade Context triple: [Cap’n Cook, drugOfTrade, methamphetamine]
-
A.
typeOfDrugsTrafficked
Indicates that one entity specifies the category or kind of drugs that are being trafficked in the context of a drug-trafficking activity.
-
B.
drugPolicy
Indicates the rules, regulations, or guidelines governing the use, control, or management of drugs within a given context.
-
C.
usedSubstance
Indicates that an entity has consumed, applied, or otherwise made use of a particular substance.
-
D.
primaryDrug
Indicates that one drug is identified as the main or most important medication in a given treatment, context, or combination relative to other associated drugs.
-
E.
drugProduced
chosen
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_69f349a80d4481908527317d43f5c579 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70c6f50cc8190a2b1aedba02e1b0e |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:53 a.m.