Triple

T20187239
Position Surface form Disambiguated ID Type / Status
Subject Mario Kart Arcade GP E492893 entity
Predicate featuresCharacter P626 FINISHED
Object Ms. Pac-Man 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: Ms. Pac-Man | Statement: [Mario Kart Arcade GP, featuresCharacter, Ms. Pac-Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ms. Pac-Man
Context triple: [Mario Kart Arcade GP, featuresCharacter, Ms. Pac-Man]
  • A. Ms. Pac-Man chosen
    Ms. Pac-Man is a classic 1982 arcade maze video game featuring a female protagonist who navigates labyrinths while avoiding ghosts and eating pellets, widely regarded as one of the most iconic titles of the golden age of arcade games.
  • B. Pac-Man
    Pac-Man is a classic arcade video game character created by Namco, known for navigating mazes while eating pellets and avoiding ghosts.
  • C. Pac-Man
    Pac-Man is the ring nickname of Filipino boxing legend Manny Pacquiao, reflecting his aggressive, relentless fighting style.
  • D. Pac-Man Jr.
    Pac-Man Jr. is a lesser-known spin-off character from the Pac-Man franchise, typically depicted as Pac-Man’s child in various games and media.
  • E. Pacman
    Pacman is a lightweight, command-line package manager originally developed for Arch Linux, known for its speed and simple binary package handling.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad143c48190b9d52c331e8101d6 completed April 20, 2026, 6:05 p.m.
Created at: April 11, 2026, 11:36 p.m.