Triple

T8412614
Position Surface form Disambiguated ID Type / Status
Subject Streets of Rage E198658 entity
Predicate antagonist P4675 FINISHED
Object Mr. X
Mr. X is the shadowy crime lord and final boss who leads the criminal syndicate in the Streets of Rage video game series.
 E732834 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: Mr. X | Statement: [Streets of Rage, antagonist, Mr. X]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mr. X
Context triple: [Streets of Rage, antagonist, Mr. X]
  • A. Mr. G
    Mr. G is the nickname of Gustaf V, who was King of Sweden from 1907 to 1950 and one of the longest-reigning Swedish monarchs.
  • B. Mr. Six
    Mr. Six is a 2015 Chinese crime drama film directed by Guan Hu, known for its gritty portrayal of an aging Beijing gangster navigating a changing society.
  • C. Mr. Nice
    Mr. Nice is a 2010 biographical crime film in which Rhys Ifans portrays real-life Welsh drug smuggler Howard Marks.
  • D. Mr. Green
    Mr. Green is one of the central hijackers in the thriller novel and film "The Taking of Pelham One Two Three," known for his role in the subway train hostage plot.
  • E. Mr. Green
    Mr. Green is a musical act associated with Malik B., known for its work in hip-hop.
  • 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: Mr. X
Triple: [Streets of Rage, antagonist, Mr. X]
Generated description
Mr. X is the shadowy crime lord and final boss who leads the criminal syndicate in the Streets of Rage video game series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mr. X
Target entity description: Mr. X is the shadowy crime lord and final boss who leads the criminal syndicate in the Streets of Rage video game series.
  • A. Mr. G
    Mr. G is the nickname of Gustaf V, who was King of Sweden from 1907 to 1950 and one of the longest-reigning Swedish monarchs.
  • B. Mr. Six
    Mr. Six is a 2015 Chinese crime drama film directed by Guan Hu, known for its gritty portrayal of an aging Beijing gangster navigating a changing society.
  • C. Mr. Nice
    Mr. Nice is a 2010 biographical crime film in which Rhys Ifans portrays real-life Welsh drug smuggler Howard Marks.
  • D. Mr. Green
    Mr. Green is one of the central hijackers in the thriller novel and film "The Taking of Pelham One Two Three," known for his role in the subway train hostage plot.
  • E. Mr. Green
    Mr. Green is a musical act associated with Malik B., known for its work in hip-hop.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb83e18e7c8190a30b14136dee3d93 completed March 31, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce0322d1448190aceaf7486c110ff7 completed April 2, 2026, 5:48 a.m.
NEDg Description generation batch_69ce0781859c8190bb92f41c00af459b completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce089d09c08190ba321aed4044a862 completed April 2, 2026, 6:11 a.m.
Created at: March 30, 2026, 6:06 p.m.