Triple

T11597406
Position Surface form Disambiguated ID Type / Status
Subject Kornél Mundruczó E275039 entity
Predicate name P16 FINISHED
Object Kornél Mundruczó E275039 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: Kornél Mundruczó | Statement: [Kornél Mundruczó, name, Kornél Mundruczó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kornél Mundruczó
Context triple: [Kornél Mundruczó, name, Kornél Mundruczó]
  • A. Kornél Mundruczó chosen
    Kornél Mundruczó is a Hungarian film and theatre director known internationally for acclaimed works such as "White God" and "Pieces of a Woman."
  • B. István Szabó
    István Szabó is a renowned Hungarian film director and screenwriter, best known for his historical and psychological dramas that often explore Central European identity and 20th-century political upheavals.
  • C. David Jancsó
    David Jancsó is a film editor best known for his work on the drama film "Pieces of a Woman."
  • D. Béla Tarr
    Béla Tarr is a Hungarian film director renowned for his bleak, philosophical dramas and signature use of extremely long takes and slow, meditative pacing.
  • E. László Nemes
    László Nemes is a Hungarian film director best known internationally for his Oscar-winning Holocaust drama "Son of Saul."
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89549c870819086e16e9110bbad87 completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a7cad108819082eebb3ca130f5b8 completed April 22, 2026, 10:49 a.m.
Created at: April 8, 2026, 9:38 p.m.