Triple

T11252213
Position Surface form Disambiguated ID Type / Status
Subject The Assignment E266345 entity
Predicate producer P490 FINISHED
Object Shinsaku Ohara
Shinsaku Ohara is a film producer known for his work on the movie "The Assignment."
E914397 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: Shinsaku Ohara | Statement: [The Assignment, producer, Shinsaku Ohara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shinsaku Ohara
Context triple: [The Assignment, producer, Shinsaku Ohara]
  • A. Yoshiko Morita
    Yoshiko Morita is best known as the wife of Akio Morita, the co-founder of Sony Corporation.
  • B. Nobuko Imai
    Nobuko Imai is a renowned Japanese violist celebrated for her international solo career, chamber music performances, and influential teaching.
  • C. Machiko Yamada
    Machiko Yamada is a prominent Japanese figure skating coach known for mentoring world champion skater Midori Ito and developing numerous elite athletes.
  • D. Ohira Chikako
    Ohira Chikako was the wife of Masayoshi Ōhira, the 68th Prime Minister of Japan, and served as a Japanese political spouse active in social and public life.
  • E. Nobuko Kan
    Nobuko Kan is a Japanese political figure and activist best known as the wife of former Prime Minister Naoto Kan and for her own involvement in social and civic causes.
  • 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: Shinsaku Ohara
Triple: [The Assignment, producer, Shinsaku Ohara]
Generated description
Shinsaku Ohara is a film producer known for his work on the movie "The Assignment."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shinsaku Ohara
Target entity description: Shinsaku Ohara is a film producer known for his work on the movie "The Assignment."
  • A. Yoshiko Morita
    Yoshiko Morita is best known as the wife of Akio Morita, the co-founder of Sony Corporation.
  • B. Nobuko Imai
    Nobuko Imai is a renowned Japanese violist celebrated for her international solo career, chamber music performances, and influential teaching.
  • C. Machiko Yamada
    Machiko Yamada is a prominent Japanese figure skating coach known for mentoring world champion skater Midori Ito and developing numerous elite athletes.
  • D. Ohira Chikako
    Ohira Chikako was the wife of Masayoshi Ōhira, the 68th Prime Minister of Japan, and served as a Japanese political spouse active in social and public life.
  • E. Nobuko Kan
    Nobuko Kan is a Japanese political figure and activist best known as the wife of former Prime Minister Naoto Kan and for her own involvement in social and civic causes.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e933648481909873094bc89ed041 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cc8599588190b510cf888ec42e34 completed April 19, 2026, 12:37 p.m.
NEDg Description generation batch_69e4d9eb79608190b7ed108906f4e2bf completed April 19, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69e4df50eebc8190a4fe0aba7dc9fa62 completed April 19, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:31 p.m.