Triple

T8412622
Position Surface form Disambiguated ID Type / Status
Subject Streets of Rage 4 E198658 entity
Predicate developer P73 FINISHED
Object Guard Crush Games
Guard Crush Games is a video game development studio best known for co-developing the modern beat ’em up revival Streets of Rage 4.
 E732837 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: Guard Crush Games | Statement: [Streets of Rage 4, developer, Guard Crush Games]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Guard Crush Games
Context triple: [Streets of Rage 4, developer, Guard Crush Games]
  • A. Caught in the Game
    Caught in the Game is a 1983 hard rock album by American band Survivor, known for its melodic rock sound and powerful vocals.
  • B. Cold Game
    Cold Game is a track featured on the hip-hop album "Doggumentary" by Snoop Dogg.
  • C. Crash
    Crash is a controversial 1973 novel by J. G. Ballard that explores the eroticization of car crashes and the dark intersections of technology, violence, and desire.
  • D. Crash
    Crash is a 1986 synth-pop album by British band The Human League, best known for featuring the hit single "Human" and marking a more polished, R&B-influenced sound for the group.
  • E. Crash
    Crash is a 2004 ensemble drama film exploring racial and social tensions in Los Angeles through intersecting storylines.
  • 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: Guard Crush Games
Triple: [Streets of Rage 4, developer, Guard Crush Games]
Generated description
Guard Crush Games is a video game development studio best known for co-developing the modern beat ’em up revival Streets of Rage 4.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Guard Crush Games
Target entity description: Guard Crush Games is a video game development studio best known for co-developing the modern beat ’em up revival Streets of Rage 4.
  • A. Caught in the Game
    Caught in the Game is a 1983 hard rock album by American band Survivor, known for its melodic rock sound and powerful vocals.
  • B. Cold Game
    Cold Game is a track featured on the hip-hop album "Doggumentary" by Snoop Dogg.
  • C. Crash
    Crash is a controversial 1973 novel by J. G. Ballard that explores the eroticization of car crashes and the dark intersections of technology, violence, and desire.
  • D. Crash
    Crash is a 1986 synth-pop album by British band The Human League, best known for featuring the hit single "Human" and marking a more polished, R&B-influenced sound for the group.
  • E. Crash
    Crash is a 2004 ensemble drama film exploring racial and social tensions in Los Angeles through intersecting storylines.
  • 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.