Triple

T14891441
Position Surface form Disambiguated ID Type / Status
Subject Ran E359761 entity
Predicate castMember P1668 FINISHED
Object Daisuke Ryū
Daisuke Ryū is a Japanese actor best known for his roles in Akira Kurosawa’s historical epics and other period films.
E1153989 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: Daisuke Ryū | Statement: [Ran, castMember, Daisuke Ryū]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daisuke Ryū
Context triple: [Ran, castMember, Daisuke Ryū]
  • A. Kenichi
    Kenichi is a Japanese masculine given name commonly used for boys and men in Japan.
  • B. Ryūō
    Ryūō is a town in Shiga Prefecture, Japan, known for its location near Lake Biwa and its blend of rural landscapes with growing commercial development.
  • C. Kyuji Fujikawa
    Kyuji Fujikawa is a Japanese professional baseball pitcher best known as a dominant closer in Nippon Professional Baseball and a longtime star for the Hanshin Tigers.
  • D. Takamura Kengo
    Takamura Kengo is a Japanese architect known for his work on the historic Imperial Hotel in Tokyo.
  • E. Ryo Sakazaki
    Ryo Sakazaki is a fictional Japanese martial artist and main protagonist of SNK’s Art of Fighting series, known for his Kyokugenryu Karate style and appearances in The King of Fighters games.
  • 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: Daisuke Ryū
Triple: [Ran, castMember, Daisuke Ryū]
Generated description
Daisuke Ryū is a Japanese actor best known for his roles in Akira Kurosawa’s historical epics and other period films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Daisuke Ryū
Target entity description: Daisuke Ryū is a Japanese actor best known for his roles in Akira Kurosawa’s historical epics and other period films.
  • A. Kenichi
    Kenichi is a Japanese masculine given name commonly used for boys and men in Japan.
  • B. Ryūō
    Ryūō is a town in Shiga Prefecture, Japan, known for its location near Lake Biwa and its blend of rural landscapes with growing commercial development.
  • C. Kyuji Fujikawa
    Kyuji Fujikawa is a Japanese professional baseball pitcher best known as a dominant closer in Nippon Professional Baseball and a longtime star for the Hanshin Tigers.
  • D. Takamura Kengo
    Takamura Kengo is a Japanese architect known for his work on the historic Imperial Hotel in Tokyo.
  • E. Ryo Sakazaki
    Ryo Sakazaki is a fictional Japanese martial artist and main protagonist of SNK’s Art of Fighting series, known for his Kyokugenryu Karate style and appearances in The King of Fighters games.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f883288190af602633fa7d6860 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff133571008190b7e7867208095b90 completed May 9, 2026, 10:57 a.m.
NEDg Description generation batch_69ff14042ce8819084817836b096f175 completed May 9, 2026, 11:01 a.m.
NED2 Entity disambiguation (via description) batch_69ff14745a8c81909b10d6b21b88b50b completed May 9, 2026, 11:03 a.m.
Created at: April 10, 2026, 2:10 a.m.