Triple

T16011450
Position Surface form Disambiguated ID Type / Status
Subject Crytek E388344 entity
Predicate formerSubsidiary P6796 FINISHED
Object Crytek UK E264762 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: Crytek UK | Statement: [Crytek, formerSubsidiary, Crytek UK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crytek UK
Context triple: [Crytek, formerSubsidiary, Crytek UK]
  • A. Crytek
    Crytek is a German video game developer best known for creating the Crysis series and the CryEngine game engine.
  • B. Nitrogen Studios
    Nitrogen Studios is a Canadian animation studio known for producing computer-animated films and television content, including work on the 2019 animated adaptation of The Addams Family.
  • C. Starbreeze Studios
    Starbreeze Studios is a Swedish video game developer and publisher known for titles such as the Payday series and for previously publishing the multiplayer horror game Dead by Daylight.
  • D. Avalon Studios
    Avalon Studios is a prominent New Zealand film and television production facility known for its soundstages and post-production services.
  • E. Swordfish Studios chosen
    Swordfish Studios was a British video game development company known for creating titles such as World Championship Rugby and 50 Cent: Blood on the Sand.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1829119648190aef5b5e84b26d898 completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf267a9c81908f1fa1ad117c5e2c completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.