Triple
T22360206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corel Corporation |
E552758
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
Painter
Painter is a digital art software application by Corel designed to simulate traditional painting and drawing techniques for artists and illustrators.
|
E1532425
|
NE FINISHED |
How this triple was built (4 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: Painter | Statement: [Corel Corporation, hasBrand, Painter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Painter Context triple: [Corel Corporation, hasBrand, Painter]
-
A.
Maler
Maler is a surname most notably associated with Teobert Maler, a German-Austrian explorer and photographer known for documenting ancient Maya ruins.
-
B.
Pisticci Painter
The Pisticci Painter was an important early Greek vase painter active in southern Italy, known for pioneering the Lucanian red-figure style with distinctive, finely detailed mythological and genre scenes.
-
C.
Artist Point
Artist Point is a famous scenic overlook in Yellowstone National Park offering expansive views of the Grand Canyon of the Yellowstone and its Lower Falls.
-
D.
Painten
Painten is a small municipality in the district of Kelheim in the German state of Bavaria.
-
E.
Tapizar
Tapizar was an American Thoroughbred racehorse best known for his Grade 1-winning performances on dirt and later success as a sire.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Painter Triple: [Corel Corporation, hasBrand, Painter]
Generated description
Painter is a digital art software application by Corel designed to simulate traditional painting and drawing techniques for artists and illustrators.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Painter Target entity description: Painter is a digital art software application by Corel designed to simulate traditional painting and drawing techniques for artists and illustrators.
-
A.
Maler
Maler is a surname most notably associated with Teobert Maler, a German-Austrian explorer and photographer known for documenting ancient Maya ruins.
-
B.
Pisticci Painter
The Pisticci Painter was an important early Greek vase painter active in southern Italy, known for pioneering the Lucanian red-figure style with distinctive, finely detailed mythological and genre scenes.
-
C.
Artist Point
Artist Point is a famous scenic overlook in Yellowstone National Park offering expansive views of the Grand Canyon of the Yellowstone and its Lower Falls.
-
D.
Painten
Painten is a small municipality in the district of Kelheim in the German state of Bavaria.
-
E.
Tapizar
Tapizar was an American Thoroughbred racehorse best known for his Grade 1-winning performances on dirt and later success as a sire.
- F. None of above. chosen
Provenance (5 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d3852c819082518851568e1b51 |
completed | April 29, 2026, 12:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae061d4648190926598d971674630 |
completed | May 18, 2026, 9:48 a.m. |
| NEDg | Description generation | batch_6a0ae17a4d48819094ea2bc413fcb19f |
completed | May 18, 2026, 9:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ae259a6f88190b0ecd726591710b3 |
completed | May 18, 2026, 9:56 a.m. |
Created at: April 16, 2026, 8:44 p.m.