Triple

T21730444
Position Surface form Disambiguated ID Type / Status
Subject Angry Birds franchise E536390 entity
Predicate creator P184 FINISHED
Object Rovio Entertainment 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: Rovio Entertainment | Statement: [Angry Birds franchise, creator, Rovio Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rovio Entertainment
Context triple: [Angry Birds franchise, creator, Rovio Entertainment]
  • A. Rovio Entertainment chosen
    Rovio Entertainment is a Finnish video game developer and entertainment company best known for creating the Angry Birds franchise.
  • B. Rovio
    Rovio is a municipality in the canton of Ticino in southern Switzerland, located on the slopes above Lake Lugano.
  • C. Gameloft
    Gameloft is a French video game developer and publisher best known for creating and distributing mobile games worldwide.
  • D. Skydance Interactive
    Skydance Interactive is a video game development and virtual reality studio known for creating immersive, narrative-driven gaming experiences.
  • E. Vivendi Games
    Vivendi Games was a French video game publisher and holding company that owned studios like Blizzard Entertainment before merging with Activision to form Activision Blizzard.
  • 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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd064fcc819084852b4248f65a81 completed April 28, 2026, 12:19 a.m.
Created at: April 16, 2026, 6:48 p.m.