Triple
T22468139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viktor Antonov |
E555413
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Arkane Studios |
—
|
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: Arkane Studios | Statement: [Viktor Antonov, employer, Arkane Studios]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arkane Studios Context triple: [Viktor Antonov, employer, Arkane Studios]
-
A.
Arkane Studios
chosen
Arkane Studios is a French video game developer best known for creating immersive sim titles such as the Dishonored series and Prey.
-
B.
Avalanche Studios
Avalanche Studios is a Swedish video game developer best known for creating large-scale open-world action titles such as the Just Cause series and Mad Max.
-
C.
Arc Games
Arc Games is a video game publisher and online platform known for publishing and operating a variety of PC and console titles, particularly in the action and online multiplayer genres.
-
D.
Obsidian Entertainment
Obsidian Entertainment is an American video game developer best known for its critically acclaimed role-playing games such as Fallout: New Vegas, Pillars of Eternity, and The Outer Worlds.
-
E.
Paradox Studios
Paradox Studios is a film production company known for producing the 2018 movie "Welcome Home."
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15bdda62c8190937ac13a4481b4b7 |
completed | April 29, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:48 p.m.