Triple

T16219726
Position Surface form Disambiguated ID Type / Status
Subject Speed Racer (manga) E393690 entity
Predicate titleInJapan P122217 FINISHED
Object Mach GoGoGo E1187305 NE FINISHED

How this triple was built (3 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: Mach GoGoGo | Statement: [Speed Racer (manga), titleInJapan, Mach GoGoGo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mach GoGoGo
Context triple: [Speed Racer (manga), titleInJapan, Mach GoGoGo]
  • A. Mach GoGoGo chosen
    Mach GoGoGo is a classic 1960s Japanese anime and manga series about a young race car driver and his high-tech car, internationally known as Speed Racer.
  • B. Go Go
    Go Go is a tough, speed-obsessed engineering student and superheroine from Disney's Big Hero 6.
  • C. Love a Go Go
    "Love a Go Go" is a Motown song best known for being performed by Stevie Wonder during his classic 1960s period.
  • D. Going to a Go-Go
    "Going to a Go-Go" is a 1965 Motown hit by Smokey Robinson & the Miracles, celebrated as a classic upbeat soul dance track.
  • E. Touch and Go
    Touch and Go is a track from the album "Barking at Airplanes" by American singer-songwriter Kim Carnes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: titleInJapan
Context triple: [Speed Racer (manga), titleInJapan, Mach GoGoGo]
  • A. titleInJapanese
    Indicates that one entity is the title of another entity expressed specifically in the Japanese language.
  • B. titleInKanji
    Indicates that one entity is the title of another entity written specifically in Kanji characters.
  • C. equivalentTitleInJapanese
    Indicates that one entity has a corresponding or matching title in Japanese that is equivalent in meaning or usage to the other entity’s title.
  • D. titleInKorean
    Indicates that an entity has a specific title expressed in the Korean language.
  • E. titleInLanguage
    Indicates that a specific title or name is expressed in a particular language.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e227fabf708190a624c1ed8ce48b0a completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ed338f48190a8a7280f7d2b112c completed May 10, 2026, 4:51 a.m.
PD Predicate disambiguation batch_69e219e94a448190b73a4e6aa374eb4a completed April 17, 2026, 11:30 a.m.
PDg Predicate description generation batch_69e21e55a2388190b29a045a8c608ba4 completed April 17, 2026, 11:49 a.m.
Created at: April 10, 2026, 5:03 a.m.