Triple

T13821617
Position Surface form Disambiguated ID Type / Status
Subject Béla Balázs E332150 entity
Predicate familyName P18 FINISHED
Object Balázs
Balázs is a Hungarian surname most notably associated with Béla Balázs, an influential film theorist, critic, and writer.
 E1065315 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: Balázs | Statement: [Béla Balázs, familyName, Balázs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Balázs
Context triple: [Béla Balázs, familyName, Balázs]
  • A. Gergő
    Gergő is a Hungarian masculine given name, commonly used as a familiar or diminutive form of Gergely (the Hungarian equivalent of Gregory).
  • B. András
    András is the Hungarian given name of Andrew S. Grove, the influential former CEO and co-founder of Intel.
  • C. Zoltán
    Zoltán was an early medieval Hungarian ruler, traditionally regarded as one of the first princes of the Principality of Hungary and a successor in the Árpád dynasty.
  • D. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • E. Márton
    Márton is a Hungarian given name, equivalent to the name Martin in other languages.
  • 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: Balázs
Triple: [Béla Balázs, familyName, Balázs]
Generated description
Balázs is a Hungarian surname most notably associated with Béla Balázs, an influential film theorist, critic, and writer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Balázs
Target entity description: Balázs is a Hungarian surname most notably associated with Béla Balázs, an influential film theorist, critic, and writer.
  • A. Gergő
    Gergő is a Hungarian masculine given name, commonly used as a familiar or diminutive form of Gergely (the Hungarian equivalent of Gregory).
  • B. András
    András is the Hungarian given name of Andrew S. Grove, the influential former CEO and co-founder of Intel.
  • C. Zoltán
    Zoltán was an early medieval Hungarian ruler, traditionally regarded as one of the first princes of the Principality of Hungary and a successor in the Árpád dynasty.
  • D. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • E. Márton
    Márton is a Hungarian given name, equivalent to the name Martin in other languages.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0284428081908043c55caeefb833 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e966c48190abe109d44300014a completed May 3, 2026, 9:40 p.m.
NEDg Description generation batch_69f7c20da9448190b3167b091bd39b94 completed May 3, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69f7c2cc63148190b9ca2828abe54286 completed May 3, 2026, 9:49 p.m.
Created at: April 9, 2026, 10:12 p.m.