Triple

T11784829
Position Surface form Disambiguated ID Type / Status
Subject Adam Bielecki E280244 entity
Predicate familyName P18 FINISHED
Object Bielecki
Bielecki is a Polish surname borne by various notable individuals across fields such as politics, sports, and mountaineering.
 E946355 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: Bielecki | Statement: [Adam Bielecki, familyName, Bielecki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bielecki
Context triple: [Adam Bielecki, familyName, Bielecki]
  • A. Wasilewski
    Wasilewski is a Polish surname, typically indicating familial or geographic origin and commonly found in Poland and among the Polish diaspora.
  • B. Beniowski
    Beniowski is a narrative poem by Polish Romantic poet Juliusz Słowacki that blends adventure, satire, and reflection on national identity.
  • C. Balcer
    Balcer is a surname most notably associated with American professional soccer player Bethany Balcer.
  • D. Mereschkowski
    Mereschkowski is the surname of Konstantin Mereschkowski, a Russian biologist known for proposing the theory of symbiogenesis in the early 20th century.
  • E. Ogiński
    Ogiński is the surname of a prominent Polish–Lithuanian noble family best known for composer and statesman Michał Kleofas Ogiński.
  • 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: Bielecki
Triple: [Adam Bielecki, familyName, Bielecki]
Generated description
Bielecki is a Polish surname borne by various notable individuals across fields such as politics, sports, and mountaineering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bielecki
Target entity description: Bielecki is a Polish surname borne by various notable individuals across fields such as politics, sports, and mountaineering.
  • A. Wasilewski
    Wasilewski is a Polish surname, typically indicating familial or geographic origin and commonly found in Poland and among the Polish diaspora.
  • B. Beniowski
    Beniowski is a narrative poem by Polish Romantic poet Juliusz Słowacki that blends adventure, satire, and reflection on national identity.
  • C. Balcer
    Balcer is a surname most notably associated with American professional soccer player Bethany Balcer.
  • D. Mereschkowski
    Mereschkowski is the surname of Konstantin Mereschkowski, a Russian biologist known for proposing the theory of symbiogenesis in the early 20th century.
  • E. Ogiński
    Ogiński is the surname of a prominent Polish–Lithuanian noble family best known for composer and statesman Michał Kleofas Ogiński.
  • F. None of above. chosen

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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a585795c8190aa8a5edf0d99b47f completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f090d861f481909b920197a3d60e28 completed April 28, 2026, 10:50 a.m.
NEDg Description generation batch_69f0bd3f39608190b29027b30664bd9c completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef5afd448190953b5d9929478132 completed April 28, 2026, 5:33 p.m.
Created at: April 8, 2026, 9:42 p.m.