Triple
T18016869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | seaborn.set_context |
E431016
|
entity |
| Predicate | contextLevel(paper) |
P129427
|
FINISHED |
| Object | smallest base element sizes |
—
|
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: smallest base element sizes | Statement: [seaborn.set_context, contextLevel(paper), smallest base element sizes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contextLevel(paper) Context triple: [seaborn.set_context, contextLevel(paper), smallest base element sizes]
-
A.
paper2Type
Indicates that a given paper is associated with, or classified as, a specific type or category of paper.
-
B.
presentationLevel
Indicates the degree or intensity with which something is presented, displayed, or made perceptible in a given context.
-
C.
conferenceLevel
Indicates the competitive or organizational tier at which a conference or event is classified or held.
-
D.
bodyLevel
Indicates the relative position or height of an entity’s body (or body part) along a vertical or hierarchical scale.
-
E.
paper1Type
Indicates that one entity is classified as the primary or first type/category of the associated paper entity.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9be5d0c819097e006f32d98753a |
completed | April 19, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69e3f904b8048190add43883cd7cb191 |
completed | April 18, 2026, 9:35 p.m. |
| PDg | Predicate description generation | batch_69e42d8eefa88190a700c7c1b4213e46 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:24 a.m.