Triple

T11189590
Position Surface form Disambiguated ID Type / Status
Subject Massive Entertainment E264760 entity
Predicate acquiredBy P347 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: [Massive Entertainment, acquiredBy, Ubisoft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ubisoft
Context triple: [Massive Entertainment, acquiredBy, 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. 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.
  • D. Bethesda Softworks
    Bethesda Softworks is a prominent American video game publisher and developer best known for franchises like The Elder Scrolls and Fallout.
  • E. Electronic Arts
    Electronic Arts is a major American video game company best known for publishing popular franchises such as FIFA, Madden NFL, Battlefield, and The Sims.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8af18e4819091811bca657c9cb0 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad00f9148190842bf587a2e4cbdf completed April 19, 2026, 10:22 a.m.
Created at: April 8, 2026, 9:29 p.m.