Triple
T37774927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kościelski Award |
E941657
|
entity |
| Predicate | hasNotableLaureate |
P1618
|
FINISHED |
| Object |
Andrzej Sosnowski
Andrzej Sosnowski is a Polish poet, translator, and essayist known for his innovative, linguistically complex poetry and significant influence on contemporary Polish literature.
|
E2289616
|
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: Andrzej Sosnowski | Statement: [Kościelski Award, hasNotableLaureate, Andrzej Sosnowski]
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: Andrzej Sosnowski Triple: [Kościelski Award, hasNotableLaureate, Andrzej Sosnowski]
Generated description
Andrzej Sosnowski is a Polish poet, translator, and essayist known for his innovative, linguistically complex poetry and significant influence on contemporary Polish literature.
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_69f76ee4431881908f87e8892a9f39f3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbaf429bc081908e36098be35024ee |
completed | May 6, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a5b53d08f9c8190b47ce34abffc82ff |
completed | July 18, 2026, 10:22 a.m. |
| NEDg | Description generation | batch_6a5b54727b048190b17ed32420bed132 |
completed | July 18, 2026, 10:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a5b581fa9c88190bbca6497e16df111 |
completed | July 18, 2026, 10:40 a.m. |
Created at: May 3, 2026, 4:19 p.m.