Triple
T50797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rembrandt van Rijn |
E996
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | van Rijn |
E996
|
NE 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: van Rijn | Statement: [Rembrandt van Rijn, familyName, van Rijn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: van Rijn Context triple: [Rembrandt van Rijn, familyName, van Rijn]
-
A.
Rembrandt van Rijn
chosen
Rembrandt van Rijn was a 17th-century Dutch painter and etcher renowned for his masterful use of light and shadow and his deeply expressive portraits, self-portraits, and biblical scenes.
-
B.
Johannes Vermeer
Johannes Vermeer was a 17th-century Dutch painter renowned for his masterful use of light and color in intimate domestic interior scenes such as "Girl with a Pearl Earring."
-
C.
Vincent van Gogh
Vincent van Gogh was a Dutch Post-Impressionist painter renowned for his emotionally expressive use of color and bold brushwork in works such as "Starry Night" and "Sunflowers."
-
D.
Willem
Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
-
E.
Vermeer Corporation
Vermeer Corporation is an American manufacturer known for its industrial and agricultural equipment, including machinery for underground construction, forestry, and agriculture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24af56cc88190a898f8bf2a283820 |
completed | Feb. 28, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a26c17a9888190b8222d661165bd9f |
completed | Feb. 28, 2026, 4:16 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.