Triple
T36559933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane Margolis |
E901805
|
entity |
| Predicate | coUsesDrugsWith |
P185860
|
FINISHED |
| Object | Jesse Pinkman |
—
|
NE NERFINISHED |
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: Jesse Pinkman | Statement: [Jane Margolis, coUsesDrugsWith, Jesse Pinkman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coUsesDrugsWith Context triple: [Jane Margolis, coUsesDrugsWith, Jesse Pinkman]
-
A.
usesDrug
Indicates that an entity consumes, administers, or otherwise makes use of a specified drug.
-
B.
drugUseHistory
Indicates that an entity has a recorded past or ongoing pattern of using drugs.
-
C.
associatedWithSubstance
Indicates that one entity has a relevant connection or involvement with a particular substance, such as use, presence, exposure, or composition.
-
D.
usedSubstance
Indicates that an entity has consumed, applied, or otherwise made use of a particular substance.
-
E.
canUseSubstance
Indicates that an entity is able or permitted to make use of a particular substance.
- 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_69f76e634e9481908c9ba1b87ab87c26 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:11 p.m.