Triple

T5138583
Position Surface form Disambiguated ID Type / Status
Subject Piekar E115888 entity
Predicate hasVariant P455 FINISHED
Object Piekarski
Piekarski is a Polish surname, typically derived from occupational or locational roots, borne by various individuals of Polish origin.
 E495534 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: Piekarski | Statement: [Piekar, hasVariant, Piekarski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Piekarski
Context triple: [Piekar, hasVariant, Piekarski]
  • A. Peschkowsky
    Peschkowsky is the original family surname of acclaimed film and theater director Mike Nichols, reflecting his German-Jewish heritage.
  • B. Palicki
    Palicki is a surname most notably associated with American actress Adrianne Palicki, known for her roles in television and film.
  • C. Karol
    Karol is the given name of Pope John Paul II, the Polish-born head of the Catholic Church from 1978 to 2005.
  • D. Korzeniowski
    Korzeniowski is a Polish surname most notably borne by contemporary film and television composer Abel Korzeniowski.
  • E. Lopatynski
    Lopatynski is the original Polish family name of Eddie Lopat, a notable Major League Baseball pitcher and later coach.
  • 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: Piekarski
Triple: [Piekar, hasVariant, Piekarski]
Generated description
Piekarski is a Polish surname, typically derived from occupational or locational roots, borne by various individuals of Polish origin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Piekarski
Target entity description: Piekarski is a Polish surname, typically derived from occupational or locational roots, borne by various individuals of Polish origin.
  • A. Peschkowsky
    Peschkowsky is the original family surname of acclaimed film and theater director Mike Nichols, reflecting his German-Jewish heritage.
  • B. Palicki
    Palicki is a surname most notably associated with American actress Adrianne Palicki, known for her roles in television and film.
  • C. Karol
    Karol is the given name of Pope John Paul II, the Polish-born head of the Catholic Church from 1978 to 2005.
  • D. Korzeniowski
    Korzeniowski is a Polish surname most notably borne by contemporary film and television composer Abel Korzeniowski.
  • E. Lopatynski
    Lopatynski is the original Polish family name of Eddie Lopat, a notable Major League Baseball pitcher and later coach.
  • 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd787acd18819087f09db885893c3e completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4d342c8819088f67c01d3769a6d completed March 21, 2026, 4:18 p.m.
NEDg Description generation batch_69bec5867eac819089ee2c5eddc32a4b completed March 21, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_69bec5eb535c819097deeb331f9f0f4d completed March 21, 2026, 4:23 p.m.
Created at: March 20, 2026, 1:43 p.m.