Triple

T15356556
Position Surface form Disambiguated ID Type / Status
Subject The Lego Movie Videogame E367180 entity
Predicate developer P73 FINISHED
Object TT Fusion
TT Fusion is a British video game development studio known for creating licensed titles, particularly within the LEGO game franchise.
 E1151991 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: TT Fusion | Statement: [The Lego Movie Videogame, developer, TT Fusion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TT Fusion
Context triple: [The Lego Movie Videogame, developer, TT Fusion]
  • A. FTW
    FTW is the IATA airport code for Fort Worth Meacham International Airport in Fort Worth, Texas.
  • B. FTW
    FTW is the National Rail station code for Fort William railway station in the Scottish Highlands.
  • C. TT
    TT is the common abbreviation for the Isle of Man TT, a famous and notoriously dangerous annual motorcycle racing event held on the Isle of Man.
  • D. TT
    TT (Terrestrial Time) is a modern astronomical time standard used as the independent time variable in ephemerides and precise celestial mechanics, defined to provide a uniform time scale for observations from Earth's surface.
  • E. TT
    TT is the stock ticker symbol for Trane Technologies, a global climate innovation company specializing in heating, ventilation, air conditioning (HVAC), and refrigeration solutions.
  • 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: TT Fusion
Triple: [The Lego Movie Videogame, developer, TT Fusion]
Generated description
TT Fusion is a British video game development studio known for creating licensed titles, particularly within the LEGO game franchise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TT Fusion
Target entity description: TT Fusion is a British video game development studio known for creating licensed titles, particularly within the LEGO game franchise.
  • A. FTW
    FTW is the IATA airport code for Fort Worth Meacham International Airport in Fort Worth, Texas.
  • B. FTW
    FTW is the National Rail station code for Fort William railway station in the Scottish Highlands.
  • C. TT
    TT is the common abbreviation for the Isle of Man TT, a famous and notoriously dangerous annual motorcycle racing event held on the Isle of Man.
  • D. TT
    TT (Terrestrial Time) is a modern astronomical time standard used as the independent time variable in ephemerides and precise celestial mechanics, defined to provide a uniform time scale for observations from Earth's surface.
  • E. TT
    TT is the stock ticker symbol for Trane Technologies, a global climate innovation company specializing in heating, ventilation, air conditioning (HVAC), and refrigeration solutions.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2c00648190ae2325e1ee58dcfd completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff020244e881909c1d1c295dc82e49 completed May 9, 2026, 9:44 a.m.
NEDg Description generation batch_69ff0292e8288190bc46eaf4db57424b completed May 9, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_69ff043582fc8190a819de8b2e2d8d40 completed May 9, 2026, 9:53 a.m.
Created at: April 10, 2026, 3:18 a.m.