Triple

T20449250
Position Surface form Disambiguated ID Type / Status
Subject The Monkey's Mask E501602 entity
Predicate stars P1956 FINISHED
Object Marton Csokas 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: Marton Csokas | Statement: [The Monkey's Mask, stars, Marton Csokas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marton Csokas
Context triple: [The Monkey's Mask, stars, 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. Zoltán Csonka
    Zoltán Csonka is a Hungarian sports shooter who has represented Hungary in international competitions, including the Olympic Games.
  • C. Csongor Takács
    Csongor Takács is a Hungarian computer hacker and key protagonist in Neal Stephenson’s techno-thriller novel "Reamde."
  • D. András Nagy
    András Nagy is a Hungarian biologist and stem cell researcher known for his pioneering work in embryonic stem cells and regenerative medicine.
  • E. Csaba Burján
    Csaba Burján is a Hungarian short track speed skater and Olympic medalist who has represented Hungary at the Winter Olympics.
  • 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68cfffae4819086c727f4143c2737 completed April 20, 2026, 8:30 p.m.
Created at: April 16, 2026, 11:32 a.m.