Triple

T11091879
Position Surface form Disambiguated ID Type / Status
Subject Tamás Vásáry E262274 entity
Predicate familyName P18 FINISHED
Object Vásáry
Vásáry is a Hungarian surname most prominently associated with the renowned pianist and conductor Tamás Vásáry.
 E904251 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: Vásáry | Statement: [Tamás Vásáry, familyName, Vásáry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vásáry
Context triple: [Tamás Vásáry, familyName, Vásáry]
  • A. Várkonyi
    Várkonyi is a Hungarian surname most notably borne by the early 20th-century film and stage actor Victor Varconi.
  • 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. Vadasz
    Vadasz is the surname of Leslie Vadasz, a Hungarian-American engineer and Intel founding member known for his contributions to semiconductor technology.
  • D. Lajos
    Lajos is a Hungarian masculine given name commonly used in Central and Eastern Europe.
  • E. Harkányi
    Harkányi is a Hungarian surname associated with individuals such as Mici Mária Harkányi.
  • 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: Vásáry
Triple: [Tamás Vásáry, familyName, Vásáry]
Generated description
Vásáry is a Hungarian surname most prominently associated with the renowned pianist and conductor Tamás Vásáry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vásáry
Target entity description: Vásáry is a Hungarian surname most prominently associated with the renowned pianist and conductor Tamás Vásáry.
  • A. Várkonyi
    Várkonyi is a Hungarian surname most notably borne by the early 20th-century film and stage actor Victor Varconi.
  • 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. Vadasz
    Vadasz is the surname of Leslie Vadasz, a Hungarian-American engineer and Intel founding member known for his contributions to semiconductor technology.
  • D. Lajos
    Lajos is a Hungarian masculine given name commonly used in Central and Eastern Europe.
  • E. Harkányi
    Harkányi is a Hungarian surname associated with individuals such as Mici Mária Harkányi.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799ec6564819097624195d0cd9093 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7d3043c8190bdbe0ec51992db0c completed April 18, 2026, 8:21 p.m.
NEDg Description generation batch_69e3f2cbb4708190a328cff473104d14 completed April 18, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69e3f497a01881909d1dae70a02e5f97 completed April 18, 2026, 9:16 p.m.
Created at: April 8, 2026, 9:27 p.m.