Triple
T33869748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CanvasPattern |
E868166
|
entity |
| Predicate | usedWithProperty |
P45650
|
FINISHED |
| Object | CanvasRenderingContext2D.fillStyle |
—
|
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: CanvasRenderingContext2D.fillStyle | Statement: [CanvasPattern, usedWithProperty, CanvasRenderingContext2D.fillStyle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedWithProperty Context triple: [CanvasPattern, usedWithProperty, CanvasRenderingContext2D.fillStyle]
-
A.
usedWith
Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
-
B.
usesProp
Indicates that one entity employs, utilizes, or makes use of a particular property, resource, or object in performing an action or fulfilling a function.
-
C.
propUsed
chosen
Indicates that a particular property or attribute is utilized or applied in a given context or situation.
-
D.
usedWithStyle
Indicates that something is employed or applied in conjunction with a particular style or stylistic manner.
-
E.
associatedWithUse
Indicates a relationship where one entity is connected to or involved in the use or utilization of another entity.
- 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_69f34995029081909ede0f7df73d1a5e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:47 a.m.