Triple

T11049594
Position Surface form Disambiguated ID Type / Status
Subject Radio Flyer E261210 entity
Predicate cinematographyBy P1953 FINISHED
Object László Kovács E260960 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: László Kovács | Statement: [Radio Flyer, cinematographyBy, László Kovács]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: László Kovács
Context triple: [Radio Flyer, cinematographyBy, László Kovács]
  • A. László Kovács chosen
    László Kovács was a renowned Hungarian-American cinematographer celebrated for his influential work in New Hollywood cinema, including landmark films of the late 1960s and 1970s.
  • B. László Papp
    László Papp was a legendary Hungarian boxer who became the first boxer to win three consecutive Olympic gold medals.
  • C. László Nagy
    László Nagy is a common Hungarian name shared by several notable figures, including a poet, a handball player, and a politician.
  • D. Gábor Vajna
    Gábor Vajna was a Hungarian fascist politician who served as Interior Minister in the pro-Nazi Arrow Cross regime during World War II.
  • E. László Bárdossy
    László Bárdossy was a Hungarian politician who served as prime minister during World War II and played a key role in aligning Hungary with Nazi Germany.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79868c78881908c8e3672c05ae7ec completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e74e1dc881908afc01b328cda843 completed April 18, 2026, 8:19 p.m.
Created at: April 8, 2026, 9:26 p.m.