Triple

T3597910
Position Surface form Disambiguated ID Type / Status
Subject Kamek E76184 entity
Predicate appearsIn P795 FINISHED
Object Mario Party series E167604 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: Mario Party series | Statement: [Kamek, appearsIn, Mario Party series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario Party series
Context triple: [Kamek, appearsIn, Mario Party series]
  • A. Mario Party chosen
    Mario Party is a long-running series of multiplayer party video games featuring Mario characters competing in board-game-style minigames.
  • B. Mario Kart
    Mario Kart is a long-running and hugely popular Nintendo racing game series featuring Mario characters competing in whimsical, item-filled kart races.
  • C. Yoshi series
    The Yoshi series is a platform game franchise by Nintendo that stars the dinosaur Yoshi in colorful, often puzzle-oriented adventures spun off from the Super Mario series.
  • D. Dr. Mario
    Dr. Mario is a puzzle video game series by Nintendo in which Mario appears as a doctor who eliminates viruses by matching color-coded capsules.
  • E. Mario & Luigi
    Mario & Luigi is a role-playing video game series by Nintendo that follows the comedic, cooperative adventures of Mario and his brother Luigi.
  • 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc19c71608190a87c98214321214c completed March 8, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c380abf0819091750970277352de completed March 14, 2026, 2:10 a.m.
Created at: March 8, 2026, 3:22 p.m.