Triple

T2056614
Position Surface form Disambiguated ID Type / Status
Subject Godzilla vs. Kong E45687 entity
Predicate castMember P1668 FINISHED
Object Shun Oguri
Shun Oguri is a prominent Japanese actor known for his versatile performances in film, television dramas, and voice acting roles.
 E425373 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: Shun Oguri | Statement: [Godzilla vs. Kong, castMember, Shun Oguri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shun Oguri
Context triple: [Godzilla vs. Kong, castMember, Shun Oguri]
  • A. Kazuyuki Furuya
    Kazuyuki Furuya is a Japanese government official who serves as a leading antitrust and competition policy regulator.
  • B. Makoto Yamashita
    Makoto Yamashita is a Japanese politician serving as the governor of Nara Prefecture.
  • C. Minoru Ōta
    Minoru Ōta was an Imperial Japanese Navy rear admiral who led the defense of the Oroku Peninsula during the Battle of Okinawa in World War II and became known for his final message praising the Okinawan people.
  • D. Makoto Uchida
    Makoto Uchida is a Japanese automotive executive who serves as the chief executive officer of Nissan Motor Co.
  • E. Naoki Tanaka
    Naoki Tanaka is a Japanese politician and businessman known as the son of former Prime Minister Kakuei Tanaka and a member of the influential Tanaka political family.
  • 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: Shun Oguri
Triple: [Godzilla vs. Kong, castMember, Shun Oguri]
Generated description
Shun Oguri is a prominent Japanese actor known for his versatile performances in film, television dramas, and voice acting roles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shun Oguri
Target entity description: Shun Oguri is a prominent Japanese actor known for his versatile performances in film, television dramas, and voice acting roles.
  • A. Kazuyuki Furuya
    Kazuyuki Furuya is a Japanese government official who serves as a leading antitrust and competition policy regulator.
  • B. Makoto Yamashita
    Makoto Yamashita is a Japanese politician serving as the governor of Nara Prefecture.
  • C. Minoru Ōta
    Minoru Ōta was an Imperial Japanese Navy rear admiral who led the defense of the Oroku Peninsula during the Battle of Okinawa in World War II and became known for his final message praising the Okinawan people.
  • D. Makoto Uchida
    Makoto Uchida is a Japanese automotive executive who serves as the chief executive officer of Nissan Motor Co.
  • E. Naoki Tanaka
    Naoki Tanaka is a Japanese politician and businessman known as the son of former Prime Minister Kakuei Tanaka and a member of the influential Tanaka political family.
  • 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9abdb088190991a620e01dc226f completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5a80f97f88190b502bca0547f03a0 completed March 14, 2026, 6:25 p.m.
NEDg Description generation batch_69b5a8ba67dc8190a5b3a809a060044b completed March 14, 2026, 6:28 p.m.
NED2 Entity disambiguation (via description) batch_69b5b39a95f88190bf0af342e1c967eb completed March 14, 2026, 7:14 p.m.
Created at: March 4, 2026, 7:40 p.m.