Triple

T9729931
Position Surface form Disambiguated ID Type / Status
Subject Marek Belka E235712 entity
Predicate familyName P18 FINISHED
Object Belka
Belka is a Polish surname most notably borne by Marek Belka, an economist and former Prime Minister of Poland.
 E817522 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: Belka | Statement: [Marek Belka, familyName, Belka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Belka
Context triple: [Marek Belka, familyName, Belka]
  • A. Anka
    Anka is a common diminutive form of the female given name Anna, used in several Slavic and Central European languages.
  • B. Guga
    Guga is the popular nickname of Brazilian former tennis star Gustavo Kuerten, a three-time French Open champion known for his charismatic personality and clay-court prowess.
  • C. Babo
    Babo is a central character in Herman Melville’s novella "Benito Cereno," known as the cunning leader of a slave revolt who manipulates appearances aboard a Spanish slave ship.
  • D. Gopchik
    Gopchik is a young, resourceful fellow prisoner in Aleksandr Solzhenitsyn’s novel "One Day in the Life of Ivan Denisovich," noted for his adaptability and survival instincts in the labor camp.
  • E. Kissi
    Kissi is a West African language spoken primarily by the Kissi people in parts of Guinea, Sierra Leone, and Liberia.
  • 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: Belka
Triple: [Marek Belka, familyName, Belka]
Generated description
Belka is a Polish surname most notably borne by Marek Belka, an economist and former Prime Minister of Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Belka
Target entity description: Belka is a Polish surname most notably borne by Marek Belka, an economist and former Prime Minister of Poland.
  • A. Anka
    Anka is a common diminutive form of the female given name Anna, used in several Slavic and Central European languages.
  • B. Guga
    Guga is the popular nickname of Brazilian former tennis star Gustavo Kuerten, a three-time French Open champion known for his charismatic personality and clay-court prowess.
  • C. Babo
    Babo is a central character in Herman Melville’s novella "Benito Cereno," known as the cunning leader of a slave revolt who manipulates appearances aboard a Spanish slave ship.
  • D. Gopchik
    Gopchik is a young, resourceful fellow prisoner in Aleksandr Solzhenitsyn’s novel "One Day in the Life of Ivan Denisovich," noted for his adaptability and survival instincts in the labor camp.
  • E. Kissi
    Kissi is a West African language spoken primarily by the Kissi people in parts of Guinea, Sierra Leone, and Liberia.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eb0ff488190ac32ed304a3cd3bc completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19fb5f5bc8190ae53bc5c165b5ac7 completed April 4, 2026, 11:33 p.m.
NEDg Description generation batch_69d1a482c0bc81908c3c7ae7c2f19473 completed April 4, 2026, 11:53 p.m.
NED2 Entity disambiguation (via description) batch_69d1a83336308190acb209223da11766 completed April 5, 2026, 12:09 a.m.
Created at: March 30, 2026, 8:21 p.m.