Triple

T597956
Position Surface form Disambiguated ID Type / Status
Subject The Super Mario Bros. Movie E11427 entity
Predicate mainCharacter P1183 FINISHED
Object Bowser
Bowser is the iconic fire-breathing, turtle-like villain from Nintendo’s Super Mario series, known as Mario’s arch-nemesis and the king of the Koopas.
 E74801 NE FINISHED

How this triple was built (4 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: Bowser | Statement: [The Super Mario Bros. Movie, mainCharacter, Bowser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bowser
Context triple: [The Super Mario Bros. Movie, mainCharacter, Bowser]
  • A. Luigi
    Luigi is a timid yet heroic green-clad plumber from Nintendo’s Mario franchise, known as Mario’s younger brother and frequent co-adventurer.
  • B. Dededo
    Dededo is a major village and commercial center in northern Guam, known for its large population and role as a key residential and retail hub on the island.
  • C. Bube
    Bube is a Bantu language spoken primarily by the Bubi people on Bioko Island in Equatorial Guinea.
  • D. Blooper
    Blooper is the fuzzy, energetic costumed mascot of Major League Baseball’s Atlanta Braves, known for entertaining fans with comedic antics at games.
  • E. Boss
    Boss is an autonomous robotic vehicle developed by Carnegie Mellon University that famously won the 2007 DARPA Urban Challenge for self-driving cars.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bowser
Triple: [The Super Mario Bros. Movie, mainCharacter, Bowser]
Generated description
Bowser is the iconic fire-breathing, turtle-like villain from Nintendo’s Super Mario series, known as Mario’s arch-nemesis and the king of the Koopas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bowser
Target entity description: Bowser is the iconic fire-breathing, turtle-like villain from Nintendo’s Super Mario series, known as Mario’s arch-nemesis and the king of the Koopas.
  • A. Luigi
    Luigi is a timid yet heroic green-clad plumber from Nintendo’s Mario franchise, known as Mario’s younger brother and frequent co-adventurer.
  • B. Dededo
    Dededo is a major village and commercial center in northern Guam, known for its large population and role as a key residential and retail hub on the island.
  • C. Bube
    Bube is a Bantu language spoken primarily by the Bubi people on Bioko Island in Equatorial Guinea.
  • D. Blooper
    Blooper is the fuzzy, energetic costumed mascot of Major League Baseball’s Atlanta Braves, known for entertaining fans with comedic antics at games.
  • E. Boss
    Boss is an autonomous robotic vehicle developed by Carnegie Mellon University that famously won the 2007 DARPA Urban Challenge for self-driving cars.
  • F. None of above. chosen

Provenance (5 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d776c6c819081b41a9b55041cd5 completed March 1, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a51f36ab388190a418f6d4ffe91d66 completed March 2, 2026, 5:25 a.m.
NEDg Description generation batch_69a51fed5cf881908565dfb8c798807a completed March 2, 2026, 5:28 a.m.
NED2 Entity disambiguation (via description) batch_69a5206e05148190a1c8c65bad1a637a completed March 2, 2026, 5:30 a.m.
Created at: March 1, 2026, 7:35 p.m.