Triple

T2261849
Position Surface form Disambiguated ID Type / Status
Subject Józef Lipski E50056 entity
Predicate familyName P18 FINISHED
Object Lipski
Lipski is a Polish surname borne by various notable figures in politics, arts, and academia.
 E251274 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: Lipski | Statement: [Józef Lipski, familyName, Lipski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lipski
Context triple: [Józef Lipski, familyName, Lipski]
  • A. Łuck
    Łuck is the Polish name for Lutsk, a historic city in western Ukraine known for its medieval castle and role as a regional cultural center.
  • B. Palicki
    Palicki is a surname most notably associated with American actress Adrianne Palicki, known for her roles in television and film.
  • C. Witos
    Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
  • D. Jesi
    Jesi is a historic town in Italy’s Marche region, known as the birthplace of Holy Roman Emperor Frederick II and for its well-preserved medieval architecture.
  • E. Lipsi
    Lipsi is a small Greek island in the southeastern Aegean Sea, known for its tranquil atmosphere, traditional villages, and unspoiled beaches.
  • 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: Lipski
Triple: [Józef Lipski, familyName, Lipski]
Generated description
Lipski is a Polish surname borne by various notable figures in politics, arts, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lipski
Target entity description: Lipski is a Polish surname borne by various notable figures in politics, arts, and academia.
  • A. Łuck
    Łuck is the Polish name for Lutsk, a historic city in western Ukraine known for its medieval castle and role as a regional cultural center.
  • B. Palicki
    Palicki is a surname most notably associated with American actress Adrianne Palicki, known for her roles in television and film.
  • C. Witos
    Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
  • D. Jesi
    Jesi is a historic town in Italy’s Marche region, known as the birthplace of Holy Roman Emperor Frederick II and for its well-preserved medieval architecture.
  • E. Lipsi
    Lipsi is a small Greek island in the southeastern Aegean Sea, known for its tranquil atmosphere, traditional villages, and unspoiled beaches.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc18aa9d48190893ca32558730e9c completed March 7, 2026, 6:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71cdacb48190bc11e9e0e6b61ba0 completed March 9, 2026, 7:07 a.m.
NEDg Description generation batch_69ae727388f48190bbb516e1cc907689 completed March 9, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_69ae733c44008190ac1429da66cf77aa completed March 9, 2026, 7:14 a.m.
Created at: March 4, 2026, 7:48 p.m.