Triple
T7609170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter White |
E172187
|
entity |
| Predicate | drugProduced |
P77758
|
FINISHED |
| Object | crystal 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: crystal methamphetamine | Statement: [Walter White, drugProduced, crystal methamphetamine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drugProduced Context triple: [Walter White, drugProduced, crystal methamphetamine]
-
A.
isProdrugOf
Indicates that one substance is a precursor form that is metabolized in the body to produce the active form of another substance.
-
B.
chemicalTypeProduced
Indicates that a process, reaction, or entity results in the production of a specific type or class of chemical.
-
C.
drugGenericName
Indicates that a drug entity is associated with its generic (non-brand) name.
-
D.
hasDrug
Indicates that an entity possesses, is treated with, or is associated with a particular drug.
-
E.
usesDrug
Indicates that an entity consumes, administers, or otherwise makes use of a specified drug.
- 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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa1f6e888190ac6580724803fbc3 |
completed | March 27, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e485f88190910b39da52a955fe |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8195e5c8190835e28d44e19f6ef |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:54 p.m.