Triple

T12741580
Position Surface form Disambiguated ID Type / Status
Subject Péter Pázmány E304500 entity
Predicate familyName P18 FINISHED
Object Pázmány
Pázmány is a Hungarian surname most notably associated with the influential 17th-century Jesuit cardinal and statesman Péter Pázmány.
 E999358 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: Pázmány | Statement: [Péter Pázmány, familyName, Pázmány]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pázmány
Context triple: [Péter Pázmány, familyName, Pázmány]
  • A. Lőrinc
    Lőrinc is the Hungarian given name equivalent to Laurentius (Lawrence), traditionally used as a male first name in Hungary.
  • B. Vácszentlászló
    Vácszentlászló is a small village in central Hungary known for its rural character and location within the Budapest metropolitan area’s wider region.
  • C. István
    István is the Hungarian given name of Stephen I of Hungary, the first Christian king and founder of the medieval Hungarian state.
  • D. Vásáry
    Vásáry is a Hungarian surname most prominently associated with the renowned pianist and conductor Tamás Vásáry.
  • E. Lajos
    Lajos is a Hungarian masculine given name commonly used in Central and Eastern Europe.
  • 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: Pázmány
Triple: [Péter Pázmány, familyName, Pázmány]
Generated description
Pázmány is a Hungarian surname most notably associated with the influential 17th-century Jesuit cardinal and statesman Péter Pázmány.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pázmány
Target entity description: Pázmány is a Hungarian surname most notably associated with the influential 17th-century Jesuit cardinal and statesman Péter Pázmány.
  • A. Lőrinc
    Lőrinc is the Hungarian given name equivalent to Laurentius (Lawrence), traditionally used as a male first name in Hungary.
  • B. Vácszentlászló
    Vácszentlászló is a small village in central Hungary known for its rural character and location within the Budapest metropolitan area’s wider region.
  • C. István
    István is the Hungarian given name of Stephen I of Hungary, the first Christian king and founder of the medieval Hungarian state.
  • D. Vásáry
    Vásáry is a Hungarian surname most prominently associated with the renowned pianist and conductor Tamás Vásáry.
  • E. Lajos
    Lajos is a Hungarian masculine given name commonly used in Central and Eastern Europe.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646dfc908190bc398935d1d23537 completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c91ed7c81909165dc300d5b23ae completed May 2, 2026, 10:37 p.m.
NEDg Description generation batch_69f67d888d7c8190b9aaeb877984a403 completed May 2, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69f67e12b8148190958b63ba114d6221 completed May 2, 2026, 10:43 p.m.
Created at: April 9, 2026, 5:26 p.m.