Triple

T13821614
Position Surface form Disambiguated ID Type / Status
Subject Béla Balázs E332150 entity
Predicate name P16 FINISHED
Object Béla Balázs E332150 NE FINISHED

How this triple was built (2 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: Béla Balázs | Statement: [Béla Balázs, name, Béla Balázs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Béla Balázs
Context triple: [Béla Balázs, name, Béla Balázs]
  • A. Bela Balázs chosen
    Béla Balázs was a Hungarian film theorist, writer, and screenwriter known for his influential work on early film aesthetics and collaborations with prominent European directors.
  • B. Mihály Várkonyi
    Mihály Várkonyi, better known by his anglicized stage name Victor Varconi, was a Hungarian-born actor who became one of the first European stars to establish a successful career in Hollywood silent and early sound films.
  • C. György Konrád
    György Konrád was a prominent Hungarian novelist, essayist, and dissident intellectual known for his critical writings on totalitarianism and his influential role in Central European literature and politics.
  • D. Gábor Vidor
    Gábor Vidor is a notable individual who bears the Hungarian surname Vidor.
  • E. Miklós Jancsó
    Miklós Jancsó was a renowned Hungarian film director celebrated for his long takes, choreographed camera movements, and politically charged explorations of power and oppression.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69f7b8e60e1c81908d51d723e85e0541 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.