Triple

T18301290
Position Surface form Disambiguated ID Type / Status
Subject MSN E438362 entity
Predicate hasPart P35 FINISHED
Object MSN Games NE NERFINISHED

How this triple was built (3 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: MSN Games | Statement: [MSN, hasPart, MSN Games]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MSN Games
Context triple: [MSN, hasPart, MSN Games]
  • A. Monster Games
    Monster Games is an American video game developer best known for creating racing titles and collaborating with Nintendo on projects such as handheld adaptations of major franchises.
  • B. Microsoft Entertainment Pack
    Microsoft Entertainment Pack is a series of casual computer game collections released by Microsoft for Windows in the early 1990s, featuring popular titles like Minesweeper and other simple puzzle and arcade-style games.
  • C. Bethesda Arcade
    Bethesda Arcade is the ornate, tunnel-like passageway beneath Bethesda Terrace in New York City's Central Park, known for its decorative Minton tile ceiling and role as a key architectural feature of the park.
  • D. Nintendo Software Technology
    Nintendo Software Technology is an American development studio within Nintendo known for creating various titles for the company’s handheld and console systems, including entries in the Mario vs. Donkey Kong series.
  • E. SNK
    SNK is a Japanese video game company best known for its arcade and home console systems and fighting game franchises such as The King of Fighters, Samurai Shodown, and Metal Slug.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MSN Games
Target entity description: MSN Games is an online casual gaming portal offering a wide variety of browser-based and downloadable games, historically operated as part of Microsoft's MSN web services.
  • A. Monster Games
    Monster Games is an American video game developer best known for creating racing titles and collaborating with Nintendo on projects such as handheld adaptations of major franchises.
  • B. Microsoft Entertainment Pack
    Microsoft Entertainment Pack is a series of casual computer game collections released by Microsoft for Windows in the early 1990s, featuring popular titles like Minesweeper and other simple puzzle and arcade-style games.
  • C. Bethesda Arcade
    Bethesda Arcade is the ornate, tunnel-like passageway beneath Bethesda Terrace in New York City's Central Park, known for its decorative Minton tile ceiling and role as a key architectural feature of the park.
  • D. Nintendo Software Technology
    Nintendo Software Technology is an American development studio within Nintendo known for creating various titles for the company’s handheld and console systems, including entries in the Mario vs. Donkey Kong series.
  • E. SNK
    SNK is a Japanese video game company best known for its arcade and home console systems and fighting game franchises such as The King of Fighters, Samurai Shodown, and Metal Slug.
  • F. None of above. chosen

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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5017f63dc819083a675d570620f2f completed April 19, 2026, 4:23 p.m.
Created at: April 10, 2026, 10:35 a.m.