Triple

T15999809
Position Surface form Disambiguated ID Type / Status
Subject Jet Set Radio E388064 entity
Predicate notableCharacter P1481 FINISHED
Object Gum
Gum is a stylish, graffiti-tagging inline skater and one of the main playable members of the GGs gang in the Jet Set Radio video game series.
 E1187776 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: Gum | Statement: [Jet Set Radio, notableCharacter, Gum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gum
Context triple: [Jet Set Radio, notableCharacter, Gum]
  • A. Gumdag
    Gumdag is a town in western Turkmenistan located within the Balkan Region, known primarily as a local center in an oil- and gas-producing area.
  • B. Gumdrop
    Gumdrop was the nickname given to the Apollo 9 command module, used in 1969 to test the lunar module and docking procedures in Earth orbit during NASA’s Apollo program.
  • C. Gumm
    Gumm is the birth surname of American actress and singer Judy Garland, originally Frances Ethel Gumm.
  • D. 5 Gum
    5 Gum is a popular sugar-free chewing gum brand known for its intense flavors and sleek, modern packaging aimed at teens and young adults.
  • E. Chewing Gum
    Chewing Gum is a British comedy television series created by and starring Michaela Coel, following the awkward, religiously raised Tracey as she navigates sex, relationships, and adulthood in a London housing estate.
  • 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: Gum
Triple: [Jet Set Radio, notableCharacter, Gum]
Generated description
Gum is a stylish, graffiti-tagging inline skater and one of the main playable members of the GGs gang in the Jet Set Radio video game series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gum
Target entity description: Gum is a stylish, graffiti-tagging inline skater and one of the main playable members of the GGs gang in the Jet Set Radio video game series.
  • A. Gumdag
    Gumdag is a town in western Turkmenistan located within the Balkan Region, known primarily as a local center in an oil- and gas-producing area.
  • B. Gumdrop
    Gumdrop was the nickname given to the Apollo 9 command module, used in 1969 to test the lunar module and docking procedures in Earth orbit during NASA’s Apollo program.
  • C. Gumm
    Gumm is the birth surname of American actress and singer Judy Garland, originally Frances Ethel Gumm.
  • D. 5 Gum
    5 Gum is a popular sugar-free chewing gum brand known for its intense flavors and sleek, modern packaging aimed at teens and young adults.
  • E. Chewing Gum
    Chewing Gum is a British comedy television series created by and starring Michaela Coel, following the awkward, religiously raised Tracey as she navigates sex, relationships, and adulthood in a London housing estate.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1578a0adc819097c6a23514182173 completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d99ca08190a3d07a0802b1b24a completed May 9, 2026, 11:31 p.m.
NEDg Description generation batch_69ffc44e8b0c81909b8af9006aa5fc4d completed May 9, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69ffc4bdf840819085e0a537e126c704 completed May 9, 2026, 11:35 p.m.
Created at: April 10, 2026, 4:55 a.m.