Triple

T2062129
Position Surface form Disambiguated ID Type / Status
Subject Koops E45814 entity
Predicate series P1761 FINISHED
Object Paper Mario E167607 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: Paper Mario | Statement: [Koops, series, Paper Mario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paper Mario
Context triple: [Koops, series, Paper Mario]
  • A. Paper Mario chosen
    Paper Mario is a role-playing video game series by Nintendo that features a distinctive paper-like art style and turn-based combat starring Mario in humorous, story-driven adventures.
  • B. 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.
  • C. 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.
  • D. Super Mario 64 DS
    Super Mario 64 DS is an enhanced Nintendo DS remake of the classic 3D platformer Super Mario 64, featuring multiple playable characters, new levels, and additional content.
  • E. Mario the Magnificent
    Mario the Magnificent is the dragon mascot of Drexel University, symbolizing the school's spirit and identity at athletic events and campus activities.
  • 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_69a8891b38288190abd572ccad9b6928 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9d239b48190a9f303446cbe3aa6 completed March 7, 2026, 5:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae271fa66081908be6c685b9bd8aa4 completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:40 p.m.