Triple

T20593945
Position Surface form Disambiguated ID Type / Status
Subject Béla Ferenc Dezső Blaskó E506001 entity
Predicate familyName P18 FINISHED
Object Blaskó
Blaskó is a Hungarian surname most famously borne by actor Béla Ferenc Dezső Blaskó, better known as Bela Lugosi.
 E1439434 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: Blaskó | Statement: [Béla Ferenc Dezső Blaskó, familyName, Blaskó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blaskó
Context triple: [Béla Ferenc Dezső Blaskó, familyName, Blaskó]
  • A. Krasnobród
    Krasnobród is a small town in southeastern Poland known for its historical role in World War II and as a local tourist and spa destination in the Roztocze region.
  • B. Shklow
    Shklow is a town in eastern Belarus known for its historical significance and location along the Dnieper River in the Mogilev Region.
  • C. Blansko
    Blansko is a small industrial town in the South Moravian Region of the Czech Republic, known as a gateway to the Moravian Karst cave system.
  • D. Grósz
    Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
  • E. Bochorna
    Bochorna is a remote highland village in the Tusheti region of northeastern Georgia, known as one of the highest permanently inhabited settlements in 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: Blaskó
Triple: [Béla Ferenc Dezső Blaskó, familyName, Blaskó]
Generated description
Blaskó is a Hungarian surname most famously borne by actor Béla Ferenc Dezső Blaskó, better known as Bela Lugosi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blaskó
Target entity description: Blaskó is a Hungarian surname most famously borne by actor Béla Ferenc Dezső Blaskó, better known as Bela Lugosi.
  • A. Krasnobród
    Krasnobród is a small town in southeastern Poland known for its historical role in World War II and as a local tourist and spa destination in the Roztocze region.
  • B. Shklow
    Shklow is a town in eastern Belarus known for its historical significance and location along the Dnieper River in the Mogilev Region.
  • C. Blansko
    Blansko is a small industrial town in the South Moravian Region of the Czech Republic, known as a gateway to the Moravian Karst cave system.
  • D. Grósz
    Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
  • E. Bochorna
    Bochorna is a remote highland village in the Tusheti region of northeastern Georgia, known as one of the highest permanently inhabited settlements in 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_69e0b4ba6ae88190af871e1f9522c704 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a97e3a7c8190b0b4604aaf40564b completed April 20, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08b3eadb248190a86149d3ca375963 completed May 16, 2026, 6:14 p.m.
NEDg Description generation batch_6a08b49702108190810c8e4f5a89ec36 completed May 16, 2026, 6:16 p.m.
NED2 Entity disambiguation (via description) batch_6a08b524b95c8190909c93d471e9397f completed May 16, 2026, 6:19 p.m.
Created at: April 16, 2026, 11:40 a.m.