Triple

T11392102
Position Surface form Disambiguated ID Type / Status
Subject K5 E269866 entity
Predicate firstWinterAscentBy P30829 FINISHED
Object Adam Bielecki E280244 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: Adam Bielecki | Statement: [K5, firstWinterAscentBy, Adam Bielecki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adam Bielecki
Context triple: [K5, firstWinterAscentBy, Adam Bielecki]
  • A. Adam Bielecki chosen
    Adam Bielecki is a Polish high-altitude mountaineer renowned for pioneering bold winter ascents in the Himalayas and Karakoram.
  • B. Adam Szalinski
    Adam Szalinski is a fictional character from the "Honey, I Shrunk the Kids" franchise, known as the inventive Wayne Szalinski’s son who often becomes involved in his father’s size-altering experiments.
  • C. Adam Borys
    Adam Borys was a Polish Home Army officer and resistance leader during World War II, best known for organizing and overseeing key underground operations against Nazi occupation forces.
  • D. Adam Ruzek
    Adam Ruzek is a fictional undercover specialist and member of the Intelligence Unit on the television drama series "Chicago P.D."
  • E. Andrew Goczkowski
    Andrew Goczkowski is an American local government leader serving as the mayor of Des Plaines, Illinois.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d8001796f48190822526f52e3f0337 completed April 9, 2026, 7:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e8cc338081908da977b5b7c6bef3 completed April 20, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:34 p.m.