Triple

T20231432
Position Surface form Disambiguated ID Type / Status
Subject Piekarski E495534 entity
Predicate hasNotableBearer P458 FINISHED
Object Marek Piekarski
Marek Piekarski is a Polish former footballer known for playing as a midfielder in the 1970s and 1980s.
E1444252 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: Marek Piekarski | Statement: [Piekarski, hasNotableBearer, Marek Piekarski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marek Piekarski
Context triple: [Piekarski, hasNotableBearer, Marek Piekarski]
  • A. Krzysztof Piekarski
    Krzysztof Piekarski is a person notable enough to be recognized as a prominent bearer of the surname Piekarski, though specific widely known public achievements are not clearly documented.
  • B. Andrzej Piekarski
    Andrzej Piekarski is a Polish individual notable enough to be recognized as a bearer of the surname Piekarski.
  • C. Cezary Piekarski
    Cezary Piekarski is a Polish individual known primarily as a notable bearer of the surname Piekarski.
  • D. Marek Morzyński
    Marek Morzyński is a researcher in fluid dynamics and flow control, known for his collaborative work on reduced-order modeling and aerodynamic applications.
  • E. Marek Janowski
    Marek Janowski is a renowned Polish-born German conductor particularly celebrated for his interpretations of the German Romantic and Wagnerian operatic repertoire.
  • 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: Marek Piekarski
Triple: [Piekarski, hasNotableBearer, Marek Piekarski]
Generated description
Marek Piekarski is a Polish former footballer known for playing as a midfielder in the 1970s and 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marek Piekarski
Target entity description: Marek Piekarski is a Polish former footballer known for playing as a midfielder in the 1970s and 1980s.
  • A. Krzysztof Piekarski
    Krzysztof Piekarski is a person notable enough to be recognized as a prominent bearer of the surname Piekarski, though specific widely known public achievements are not clearly documented.
  • B. Andrzej Piekarski
    Andrzej Piekarski is a Polish individual notable enough to be recognized as a bearer of the surname Piekarski.
  • C. Cezary Piekarski
    Cezary Piekarski is a Polish individual known primarily as a notable bearer of the surname Piekarski.
  • D. Marek Morzyński
    Marek Morzyński is a researcher in fluid dynamics and flow control, known for his collaborative work on reduced-order modeling and aerodynamic applications.
  • E. Marek Janowski
    Marek Janowski is a renowned Polish-born German conductor particularly celebrated for his interpretations of the German Romantic and Wagnerian operatic repertoire.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fddafac819089cef4158f5e0ab5 completed April 20, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08cd443d9c81909c06d2ebfa37c384 completed May 16, 2026, 8:02 p.m.
NEDg Description generation batch_6a08d174278481909db394da2a7ff969 completed May 16, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a08d293523c8190aaa01c6c73c9afd5 completed May 16, 2026, 8:24 p.m.
Created at: April 11, 2026, 11:39 p.m.