Triple

T6620505
Position Surface form Disambiguated ID Type / Status
Subject Stefan Osiecki E149660 entity
Predicate knownAs P39 FINISHED
Object Stefan Osiecki
Stefan Osiecki was a Polish painter and mountaineer active in the early 20th century, known for his landscape works and participation in artistic competitions at the Olympic Games.
 E149660 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: Stefan Osiecki | Statement: [Stefan Osiecki, knownAs, Stefan Osiecki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stefan Osiecki
Context triple: [Stefan Osiecki, knownAs, Stefan Osiecki]
  • A. Stefan Osiecki
    Stefan Osiecki was a Polish mountaineer known for pioneering ascents in remote regions, including major peaks in Patagonia.
  • B. Stefan Rowecki
    Stefan Rowecki was a Polish general and key leader of the World War II resistance movement, serving as commander of the underground Home Army against Nazi occupation.
  • C. Adam Tarnowski
    Adam Tarnowski was a Polish diplomat who served as foreign minister for the Polish government-in-exile during World War II.
  • D. Andrew Goczkowski
    Andrew Goczkowski is an American local government leader serving as the mayor of Des Plaines, Illinois.
  • E. Adrian Politowski
    Adrian Politowski is a film producer known for financing and producing a wide range of international independent films.
  • 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: Stefan Osiecki
Triple: [Stefan Osiecki, knownAs, Stefan Osiecki]
Generated description
Stefan Osiecki was a Polish painter and mountaineer active in the early 20th century, known for his landscape works and participation in artistic competitions at the Olympic Games.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stefan Osiecki
Target entity description: Stefan Osiecki was a Polish painter and mountaineer active in the early 20th century, known for his landscape works and participation in artistic competitions at the Olympic Games.
  • A. Stefan Osiecki chosen
    Stefan Osiecki was a Polish mountaineer known for pioneering ascents in remote regions, including major peaks in Patagonia.
  • B. Stefan Rowecki
    Stefan Rowecki was a Polish general and key leader of the World War II resistance movement, serving as commander of the underground Home Army against Nazi occupation.
  • C. Adam Tarnowski
    Adam Tarnowski was a Polish diplomat who served as foreign minister for the Polish government-in-exile during World War II.
  • D. Andrew Goczkowski
    Andrew Goczkowski is an American local government leader serving as the mayor of Des Plaines, Illinois.
  • E. Adrian Politowski
    Adrian Politowski is a film producer known for financing and producing a wide range of international independent films.
  • F. None of above.

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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7aff44819089da6145e1ef5f76 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e4461e748190b4feead6ef16a01c completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e4ea6f6881909b85e33120dffc18 completed March 27, 2026, 8:13 p.m.
NED2 Entity disambiguation (via description) batch_69c6e8fcde0c8190baa4cac159b8e590 completed March 27, 2026, 8:30 p.m.
Created at: March 27, 2026, 1:58 p.m.