Triple

T11658253
Position Surface form Disambiguated ID Type / Status
Subject Jens Bergensten E277062 entity
Predicate employer P7 FINISHED
Object Mojang Studios E7158 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: Mojang Studios | Statement: [Jens Bergensten, employer, Mojang Studios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mojang Studios
Context triple: [Jens Bergensten, employer, Mojang Studios]
  • A. Mojang Studios chosen
    Mojang Studios is a Swedish video game developer best known as the creator of the sandbox phenomenon Minecraft.
  • B. Snowball Studios
    Snowball Studios is an animation and visual effects studio known for its work on television series such as the 2018 reboot of Muppet Babies.
  • C. Mushroom Studios
    Mushroom Studios is a renowned Canadian recording studio in Vancouver known for hosting sessions by numerous influential rock and alternative artists.
  • D. Cryptic Studios
    Cryptic Studios is an American video game developer best known for creating online role-playing games such as City of Heroes, Champions Online, and Star Trek Online.
  • E. Bavaria Studios
    Bavaria Studios is a major German film and television production complex near Munich, known for hosting both domestic and international productions since the early 20th century.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3d0331481909682b2e504e4c9a0 completed April 10, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee882148a08190a1a8c16d8cb7e48a completed April 26, 2026, 9:48 p.m.
Created at: April 8, 2026, 9:39 p.m.