Triple
T18016849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | seaborn.set_context |
E431016
|
entity |
| Predicate | defaultValue(context) |
P128025
|
FINISHED |
| Object | paper |
—
|
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: paper | Statement: [seaborn.set_context, defaultValue(context), paper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defaultValue(context) Context triple: [seaborn.set_context, defaultValue(context), paper]
-
A.
defaultValue
chosen
Indicates that one entity serves as the pre-assigned or fallback value automatically used for another entity when no explicit value is provided.
-
B.
defaultNameValue
Indicates that an entity is assigned a standard or fallback name value used when no specific name has been provided.
-
C.
defaultQValue
Indicates the standard or initial Q-value assigned to a state-action pair before any learning or updates occur in a reinforcement learning process.
-
D.
defaultPosition
Indicates the standard or initial spatial arrangement or pose that an entity assumes in the absence of other specified positions.
-
E.
defaultBehavior
Indicates the standard or fallback way an entity acts or responds when no specific or overriding instructions or conditions are provided.
- 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_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. |
Created at: April 10, 2026, 10:24 a.m.