Triple

T16010149
Position Surface form Disambiguated ID Type / Status
Subject Ubisoft Montreal E388315 entity
Predicate parentOrganization P254 FINISHED
Object Ubisoft E389699 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: Ubisoft | Statement: [Ubisoft Montreal, parentOrganization, Ubisoft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ubisoft
Context triple: [Ubisoft Montreal, parentOrganization, Ubisoft]
  • A. Ubisoft chosen
    Ubisoft is a major French video game company known for creating and publishing popular franchises such as Assassin’s Creed, Far Cry, and Tom Clancy’s series.
  • B. Ubisoft Montreal
    Ubisoft Montreal is a major Canadian video game development studio known for creating flagship franchises such as Assassin’s Creed and Far Cry.
  • C. Ubisoft Motion Pictures
    Ubisoft Motion Pictures is the film and television production arm of the video game company Ubisoft, created to adapt its game franchises into screen entertainment.
  • D. Ubisoft Quebec
    Ubisoft Quebec is a Canadian video game development studio known for creating major titles in the Assassin’s Creed franchise.
  • E. Take-Two Interactive
    Take-Two Interactive is a major American video game publisher known for franchises like Grand Theft Auto, Red Dead Redemption, and NBA 2K.
  • 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_69e1828f8c688190a6b365f9140cd2d8 completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff293c2248190993d5d74eaf626bc completed May 10, 2026, 2:50 a.m.
Created at: April 10, 2026, 4:55 a.m.