Triple

T18381450
Position Surface form Disambiguated ID Type / Status
Subject Gamera the Brave E446456 entity
Predicate starredActor P5563 FINISHED
Object Kanji Tsuda
Kanji Tsuda is a Japanese actor known for his prolific work in film and television, often appearing in genre and independent productions.
E1454931 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: Kanji Tsuda | Statement: [Gamera the Brave, starredActor, Kanji Tsuda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanji Tsuda
Context triple: [Gamera the Brave, starredActor, Kanji Tsuda]
  • A. Takamoto Katsuta
    Takamoto Katsuta is a Japanese rally driver who competes at the top level of the World Rally Championship with the Toyota Gazoo Racing team.
  • B. Nogi Yasunori
    Nogi Yasunori was a Japanese nobleman and military officer of the Meiji era, best known as the son of General Nogi Maresuke.
  • C. Tanaka Ryūkichi
    Tanaka Ryūkichi was an Imperial Japanese Army general who played a leading role in Japan’s military operations and administration during World War II, including in Hong Kong.
  • D. Shinpei Hayashiya
    Shinpei Hayashiya is a Japanese rakugo performer and voice actor known for his energetic storytelling and roles in popular anime series.
  • E. Tadahiko
    Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
  • 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: Kanji Tsuda
Triple: [Gamera the Brave, starredActor, Kanji Tsuda]
Generated description
Kanji Tsuda is a Japanese actor known for his prolific work in film and television, often appearing in genre and independent productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kanji Tsuda
Target entity description: Kanji Tsuda is a Japanese actor known for his prolific work in film and television, often appearing in genre and independent productions.
  • A. Takamoto Katsuta
    Takamoto Katsuta is a Japanese rally driver who competes at the top level of the World Rally Championship with the Toyota Gazoo Racing team.
  • B. Nogi Yasunori
    Nogi Yasunori was a Japanese nobleman and military officer of the Meiji era, best known as the son of General Nogi Maresuke.
  • C. Tanaka Ryūkichi
    Tanaka Ryūkichi was an Imperial Japanese Army general who played a leading role in Japan’s military operations and administration during World War II, including in Hong Kong.
  • D. Shinpei Hayashiya
    Shinpei Hayashiya is a Japanese rakugo performer and voice actor known for his energetic storytelling and roles in popular anime series.
  • E. Tadahiko
    Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179b60f88190adf39e85375bd11b completed April 19, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a091380428c8190b0535d3100e3c9a6 completed May 17, 2026, 1:01 a.m.
NEDg Description generation batch_6a0914358a088190848fd658fa884cf1 completed May 17, 2026, 1:04 a.m.
NED2 Entity disambiguation (via description) batch_6a0914daf1188190bd8287ef06156c6f completed May 17, 2026, 1:07 a.m.
Created at: April 10, 2026, 10:45 a.m.