Triple

T5079818
Position Surface form Disambiguated ID Type / Status
Subject Game Boy E114485 entity
Predicate bestSellingGame P33109 FINISHED
Object Tetris 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 | Statement: [Game Boy, bestSellingGame, Tetris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tetris
Context triple: [Game Boy, bestSellingGame, Tetris]
  • 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. Pac-Man
    Pac-Man is a classic arcade video game character created by Namco, known for navigating mazes while eating pellets and avoiding ghosts.
  • D. Pacman
    Pacman is a lightweight, command-line package manager originally developed for Arch Linux, known for its speed and simple binary package handling.
  • E. Minesweeper
    Minesweeper is a classic single-player logic puzzle video game in which players uncover squares on a grid while avoiding hidden mines.
  • 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_69bd443dbf908190a9401e9c2dc7bd7d completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74f86c988190aa026073ed435a45 completed March 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb12bd7288190b66ac606aebcabca completed March 21, 2026, 2:54 p.m.
Created at: March 20, 2026, 1:39 p.m.