Triple

T10600967
Position Surface form Disambiguated ID Type / Status
Subject Hitoshi E275744 entity
Predicate hasNotableBearer P458 FINISHED
Object Hitoshi Kimura
Hitoshi Kimura is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
E1120863 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: Hitoshi Kimura | Statement: [Hitoshi, hasNotableBearer, Hitoshi Kimura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hitoshi Kimura
Context triple: [Hitoshi, hasNotableBearer, Hitoshi Kimura]
  • A. Hitoshi Iwaaki
    Hitoshi Iwaaki is a Japanese manga artist best known internationally for creating the science fiction horror series "Parasyte."
  • B. Hitoshi Ashida
    Hitoshi Ashida was a Japanese politician who served briefly as Prime Minister in the late 1940s during Japan’s postwar reconstruction period.
  • C. Hitoshi Suganuma
    Hitoshi Suganuma is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
  • D. Hitoshi Nakata
    Hitoshi Nakata is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
  • E. Hitoshi Kihara
    Hitoshi Kihara was a pioneering Japanese geneticist known for his fundamental contributions to plant genetics and cytogenetics, particularly in wheat.
  • 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: Hitoshi Kimura
Triple: [Hitoshi, hasNotableBearer, Hitoshi Kimura]
Generated description
Hitoshi Kimura is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hitoshi Kimura
Target entity description: Hitoshi Kimura is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
  • A. Hitoshi Iwaaki
    Hitoshi Iwaaki is a Japanese manga artist best known internationally for creating the science fiction horror series "Parasyte."
  • B. Hitoshi Ashida
    Hitoshi Ashida was a Japanese politician who served briefly as Prime Minister in the late 1940s during Japan’s postwar reconstruction period.
  • C. Hitoshi Suganuma
    Hitoshi Suganuma is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
  • D. Hitoshi Nakata
    Hitoshi Nakata is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
  • E. Hitoshi Kihara
    Hitoshi Kihara was a pioneering Japanese geneticist known for his fundamental contributions to plant genetics and cytogenetics, particularly in wheat.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6ded52f288190b40288d0acbe009b completed April 8, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe249a972081909b30302865396eb1 completed May 8, 2026, 5:59 p.m.
NEDg Description generation batch_69fe287b10ec8190a3d01ff4c2c91a7f completed May 8, 2026, 6:16 p.m.
NED2 Entity disambiguation (via description) batch_69fe28f5aa7c819098fcab8c9e448d99 completed May 8, 2026, 6:18 p.m.
Created at: April 8, 2026, 7:31 p.m.