Triple

T10391100
Position Surface form Disambiguated ID Type / Status
Subject Tetris E244892 entity
Predicate publisher P29 FINISHED
Object Atari Games E488085 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: Atari Games | Statement: [Tetris, publisher, Atari Games]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atari Games
Context triple: [Tetris, publisher, Atari Games]
  • A. Atari Games chosen
    Atari Games was an American video game developer and arcade game manufacturer best known for creating influential coin-operated titles during the 1980s and early 1990s.
  • B. Atari, Inc.
    Atari, Inc. was a pioneering American video game and home computer company best known for popularizing arcade games and early home consoles like the Atari 2600.
  • C. Sega
    Sega is a Japanese video game and entertainment company best known for its iconic consoles and franchises such as Sonic the Hedgehog.
  • D. Jaleco
    Jaleco was a Japanese video game company known for developing and publishing arcade and home console titles from the 1980s through the early 2000s.
  • E. Mastertronic
    Mastertronic was a prominent British budget video game publisher and distributor in the 1980s, known for releasing low-cost titles across home computer and console platforms.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9b5b43081908641a5abfb08dc2b completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d795b9974c819087340adc3622279e completed April 9, 2026, 12:04 p.m.
Created at: April 6, 2026, 12:06 p.m.