Triple

T10391109
Position Surface form Disambiguated ID Type / Status
Subject Tetris E244892 entity
Predicate notableVersion P3094 FINISHED
Object Tetris (NES) E244892 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: Tetris (NES) | Statement: [Tetris, notableVersion, Tetris (NES)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tetris (NES)
Context triple: [Tetris, notableVersion, Tetris (NES)]
  • A. Tetris chosen
    Tetris is a classic and highly influential puzzle video game in which players rotate and arrange falling geometric shapes to complete and clear horizontal lines.
  • B. Tetris Hall Kiev
    Tetris Hall Kiev is a distinctive residential complex in Kyiv, Ukraine, known for its stacked, Tetris-like architectural form and contemporary design.
  • C. Q*bert
    Q*bert is a classic 1980s arcade video game character known for hopping diagonally on isometric cubes while avoiding enemies and obstacles.
  • D. Pac-Man
    Pac-Man is a classic arcade video game character created by Namco, known for navigating mazes while eating pellets and avoiding ghosts.
  • E. Pac-Man
    Pac-Man is the ring nickname of Filipino boxing legend Manny Pacquiao, reflecting his aggressive, relentless fighting style.
  • 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_69d7fbae9a9c81908178fca68eb142b6 completed April 9, 2026, 7:19 p.m.
Created at: April 6, 2026, 12:06 p.m.