Triple

T21627930
Position Surface form Disambiguated ID Type / Status
Subject Hugo Matuschek E533751 entity
Predicate basedOnAuthor P2806 FINISHED
Object Miklós László NE NERFINISHED

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: Miklós László | Statement: [Hugo Matuschek, basedOnAuthor, Miklós László]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miklós László
Context triple: [Hugo Matuschek, basedOnAuthor, Miklós László]
  • A. Miklós László chosen
    Miklós László was a Hungarian-born playwright best known for writing the stage play that inspired the classic film "The Shop Around the Corner."
  • B. László Szabó
    László Szabó is a Hungarian-born French actor and filmmaker known for his work in European art cinema, including collaborations with directors of the French New Wave.
  • C. Miklós Lázár
    Miklós Lázár is an actor known for his role in the supernatural crime thriller film "The First Power."
  • D. Béla Miklós
    Béla Miklós was a Hungarian military officer and politician who served as Prime Minister of Hungary near the end of World War II and played a key role in the country’s transition away from Nazi Germany.
  • E. Gyula Illyés
    Gyula Illyés was a prominent 20th-century Hungarian poet, writer, and public intellectual known for his socially engaged verse and opposition to totalitarianism.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5214e72c8190af109089f58fca4f completed April 27, 2026, 12:09 p.m.
Created at: April 16, 2026, 6:34 p.m.