Triple

T15579079
Position Surface form Disambiguated ID Type / Status
Subject Lubba E374445 entity
Predicate controls P760 FINISHED
Object Starship Mario E1162403 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: Starship Mario | Statement: [Lubba, controls, Starship Mario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Starship Mario
Context triple: [Lubba, controls, Starship Mario]
  • A. Starship Mario chosen
    Starship Mario is a starship shaped like Mario’s head that serves as the main hub and transport vessel in Super Mario Galaxy 2.
  • B. 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.
  • C. Baby Mario
    Baby Mario is the infant version of Nintendo’s iconic hero Mario, appearing as a playable character in various Mario spin-off and Yoshi games.
  • D. Hotel Mario
    Hotel Mario is a 1994 Philips CD-i puzzle-platform video game based on the Mario franchise, infamous for its poor quality and awkward full-motion video cutscenes.
  • E. Boomerang Flower-powered Mario
    Boomerang Flower-powered Mario is a special form of Mario that grants him the ability to throw boomerangs, similar to a Boomerang Bro, for attacking enemies and collecting distant items.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e24064c8190b132c3092877fbfa completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56c3efb48190ad94d9d326c6c2c0 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:11 a.m.