Triple

T8650958
Position Surface form Disambiguated ID Type / Status
Subject Marton Csokas E205097 entity
Predicate name P16 FINISHED
Object Marton Csokas E205097 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: Marton Csokas | Statement: [Marton Csokas, name, Marton Csokas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marton Csokas
Context triple: [Marton Csokas, name, Marton Csokas]
  • A. Marton Csokas chosen
    Marton Csokas is a New Zealand actor known for his versatile character roles in international films and television series, including major action and fantasy franchises.
  • B. 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.
  • C. Ákos Eleőd
    Ákos Eleőd is a Hungarian architect best known for designing Budapest’s Memento Park, an open-air museum dedicated to statues and monuments from the country’s communist era.
  • D. László Papp
    László Papp was a legendary Hungarian boxer who became the first boxer to win three consecutive Olympic gold medals.
  • E. Ferenc Dávid
    Ferenc Dávid was a 16th-century Transylvanian religious reformer and theologian who became a leading figure of early Unitarianism and a pioneer of religious tolerance in Europe.
  • 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_69ca834e56848190abb0eeaec9dedd32 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48150e6c8190a7a3b92b4b640858 completed March 31, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfc91d31d48190bfd8a8254f6f518e completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:29 p.m.