Triple

T2919874
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Vice E78692 entity
Predicate castMember P1668 FINISHED
Object Show Kasamatsu
Show Kasamatsu is a Japanese actor known internationally for his roles in film and television, including crime dramas and cross-cultural productions.
 E310318 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: Show Kasamatsu | Statement: [Tokyo Vice, castMember, Show Kasamatsu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Show Kasamatsu
Context triple: [Tokyo Vice, castMember, Show Kasamatsu]
  • A. Katsuya
    Katsuya is a Japanese given name commonly used for males.
  • B. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • C. Katsuragi
    Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
  • D. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • E. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • 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: Show Kasamatsu
Triple: [Tokyo Vice, castMember, Show Kasamatsu]
Generated description
Show Kasamatsu is a Japanese actor known internationally for his roles in film and television, including crime dramas and cross-cultural productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Show Kasamatsu
Target entity description: Show Kasamatsu is a Japanese actor known internationally for his roles in film and television, including crime dramas and cross-cultural productions.
  • A. Katsuya
    Katsuya is a Japanese given name commonly used for males.
  • B. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • C. Katsuragi
    Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
  • D. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • E. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a53f8c8190b188d549f1161e84 completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0562fc5f081909c9130f71f379a24 completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b06117ba088190886fa464f54525cd completed March 10, 2026, 6:21 p.m.
NED2 Entity disambiguation (via description) batch_69b0628d5f608190b7a13ac2e8b8d721 completed March 10, 2026, 6:27 p.m.
Created at: March 8, 2026, 2:54 p.m.