Triple
T26156732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivan Dmitrievich Kasatkin |
E659984
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Nikolai Kasatkin
Nikolai Kasatkin was a Russian painter of the late 19th and early 20th centuries, known for his realist depictions of workers and everyday life and regarded as one of the founders of Soviet social realism in art.
|
E1803822
|
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: Nikolai Kasatkin | Statement: [Ivan Dmitrievich Kasatkin, alsoKnownAs, Nikolai Kasatkin]
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: Nikolai Kasatkin Triple: [Ivan Dmitrievich Kasatkin, alsoKnownAs, Nikolai Kasatkin]
Generated description
Nikolai Kasatkin was a Russian painter of the late 19th and early 20th centuries, known for his realist depictions of workers and everyday life and regarded as one of the founders of Soviet social realism in art.
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_69ee5bc5a9908190899d39ce95c6d215 |
completed | April 26, 2026, 6:39 p.m. |
| NER | Named-entity recognition | batch_69f60c10f82c8190a102d95ec1941efc |
completed | May 2, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a15c8d0158881909c14d103987e178b |
completed | May 26, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_6a15ca0309908190b067af60dc77238a |
completed | May 26, 2026, 4:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a15caa74e9c8190ad43be1d8ed6ad15 |
completed | May 26, 2026, 4:30 p.m. |
Created at: April 26, 2026, 8:28 p.m.