Triple

T20231465
Position Surface form Disambiguated ID Type / Status
Subject Pekár E495535 entity
Predicate hasNotableBearer P458 FINISHED
Object Pavol Pekár
Pavol Pekár is a Slovak footballer known for playing as a midfielder in the Slovak leagues.
E1467466 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: Pavol Pekár | Statement: [Pekár, hasNotableBearer, Pavol Pekár]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pavol Pekár
Context triple: [Pekár, hasNotableBearer, Pavol Pekár]
  • A. Pavol Liska
    Pavol Liska is a theater director known for his experimental and avant-garde stage work, including co-directing the ambitious adaptation of Elfriede Jelinek’s novel "Die Kinder der Toten."
  • B. Ján Chalupka
    Ján Chalupka was a 19th-century Slovak playwright, writer, and Protestant pastor known for his satirical comedies that critiqued social and national issues of his time.
  • C. Petr Pekar
    Petr Pekar is a person notable enough to be recognized as a bearer of the surname Pekar.
  • D. Miroslav Grebeníček
    Miroslav Grebeníček is a Czech politician best known as a longtime leader of the Communist Party of Bohemia and Moravia.
  • E. Pavel Zdráhal
    Pavel Zdráhal is a Czech ice hockey player known for his professional career in European leagues.
  • 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: Pavol Pekár
Triple: [Pekár, hasNotableBearer, Pavol Pekár]
Generated description
Pavol Pekár is a Slovak footballer known for playing as a midfielder in the Slovak leagues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pavol Pekár
Target entity description: Pavol Pekár is a Slovak footballer known for playing as a midfielder in the Slovak leagues.
  • A. Pavol Liska
    Pavol Liska is a theater director known for his experimental and avant-garde stage work, including co-directing the ambitious adaptation of Elfriede Jelinek’s novel "Die Kinder der Toten."
  • B. Ján Chalupka
    Ján Chalupka was a 19th-century Slovak playwright, writer, and Protestant pastor known for his satirical comedies that critiqued social and national issues of his time.
  • C. Petr Pekar
    Petr Pekar is a person notable enough to be recognized as a bearer of the surname Pekar.
  • D. Miroslav Grebeníček
    Miroslav Grebeníček is a Czech politician best known as a longtime leader of the Communist Party of Bohemia and Moravia.
  • E. Pavel Zdráhal
    Pavel Zdráhal is a Czech ice hockey player known for his professional career in European leagues.
  • 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_6a0965c74be4819092c3bdbc2ac36aff completed May 17, 2026, 6:52 a.m.
NEDg Description generation batch_6a0966a973c88190a80dea4cac560614 completed May 17, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_6a09671c01a08190a9034fdb91119c3f completed May 17, 2026, 6:58 a.m.
Created at: April 11, 2026, 11:39 p.m.