Triple

T23062581
Position Surface form Disambiguated ID Type / Status
Subject Being Julia E574943 entity
Predicate director P255 FINISHED
Object István Szabó 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: István Szabó | Statement: [Being Julia, director, István Szabó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: István Szabó
Context triple: [Being Julia, director, István Szabó]
  • A. István Szabó chosen
    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.
  • B. 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.
  • C. David Jancsó
    David Jancsó is a film editor best known for his work on the drama film "Pieces of a Woman."
  • D. László Benedek
    László Benedek was a Hungarian-American film director best known for directing the influential 1953 Marlon Brando biker film "The Wild One."
  • E. 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.
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a0c3c881909f137ad511c216ac completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.