Triple

T12548205
Position Surface form Disambiguated ID Type / Status
Subject Fujiko F. Fujio Museum E300026 entity
Predicate category P87 FINISHED
Object Doraemon E710354 NE FINISHED

How this triple was built (2 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: Doraemon | Statement: [Fujiko F. Fujio Museum, category, Doraemon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doraemon
Context triple: [Fujiko F. Fujio Museum, category, Doraemon]
  • A. Doraemon chosen
    Doraemon is a popular Japanese manga and anime character, a robotic cat from the future who helps a young boy using futuristic gadgets from his four-dimensional pocket.
  • B. Anpanman
    Anpanman is a hugely popular Japanese children's superhero character with a bean-jam-filled bread head, created by Takashi Yanase and featured in picture books, anime, and extensive merchandise.
  • C. Kuromi
    Kuromi is a mischievous yet cute Sanrio character, often depicted in a black jester’s hat with a pink skull, who serves as My Melody’s punk-styled rival.
  • D. Kumamon
    Kumamon is a popular black bear mascot character created to promote Japan’s Kumamoto Prefecture, known nationwide for its cute, humorous appearance and extensive merchandising.
  • E. Doryumu
    Doryumu is a town in Ghana located near the Shai Hills Resource Reserve in the Greater Accra Region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95481ba28819099f7cd2de02e8837 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6685f99a08190b6fe4cc10f1c8d73 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:58 p.m.