Triple
T19872254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kangaroo Jack |
E477546
|
entity |
| Predicate | starredActor |
P5563
|
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: [Kangaroo Jack, starredActor, Marton Csokas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marton Csokas Context triple: [Kangaroo Jack, starredActor, 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.
László Csonka
László Csonka is a Hungarian actor and singer known for his roles in television, theater, and musical productions.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658d826f88190be04188997952d1b |
completed | April 20, 2026, 4:48 p.m. |
Created at: April 10, 2026, 1:51 p.m.