Triple

T17818596
Position Surface form Disambiguated ID Type / Status
Subject Hotsumi Ozaki E444911 entity
Predicate givenName P17 FINISHED
Object Hotsumi
Hotsumi is a Japanese given name most notably borne by Hotsumi Ozaki, a journalist and spy involved in pre-World War II and World War II-era political affairs.
E1289533 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: Hotsumi | Statement: [Hotsumi Ozaki, givenName, Hotsumi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hotsumi
Context triple: [Hotsumi Ozaki, givenName, Hotsumi]
  • A. Hiromi
    Hiromi is a Japanese jazz composer and virtuoso pianist renowned for her high-energy performances and fusion of jazz, classical, and rock influences.
  • B. Hitoshi
    Hitoshi is a Japanese given name commonly used for males.
  • C. Takkaze
    Takkaze is a river in northern Ethiopia that flows through deep gorges before joining the Atbarah River, ultimately contributing to the Nile basin.
  • D. Katsumi
    Katsumi is a minor character appearing in the story "Sayonara," contributing to its supporting cast and narrative development.
  • E. Hitakatsu
    Hitakatsu is a port town on Tsushima Island in Nagasaki Prefecture, Japan, serving as a key gateway for maritime transport between Japan and South Korea.
  • 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: Hotsumi
Triple: [Hotsumi Ozaki, givenName, Hotsumi]
Generated description
Hotsumi is a Japanese given name most notably borne by Hotsumi Ozaki, a journalist and spy involved in pre-World War II and World War II-era political affairs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hotsumi
Target entity description: Hotsumi is a Japanese given name most notably borne by Hotsumi Ozaki, a journalist and spy involved in pre-World War II and World War II-era political affairs.
  • A. Hiromi
    Hiromi is a Japanese jazz composer and virtuoso pianist renowned for her high-energy performances and fusion of jazz, classical, and rock influences.
  • B. Hitoshi
    Hitoshi is a Japanese given name commonly used for males.
  • C. Takkaze
    Takkaze is a river in northern Ethiopia that flows through deep gorges before joining the Atbarah River, ultimately contributing to the Nile basin.
  • D. Katsumi
    Katsumi is a minor character appearing in the story "Sayonara," contributing to its supporting cast and narrative development.
  • E. Hitakatsu
    Hitakatsu is a port town on Tsushima Island in Nagasaki Prefecture, Japan, serving as a key gateway for maritime transport between Japan and South Korea.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e488812df081909771d51c54c405fe completed April 19, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02ff6630a08190b907c773c77149bb completed May 12, 2026, 10:22 a.m.
NEDg Description generation batch_6a03004cb0048190bf6891754474e317 completed May 12, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_6a0300bda62081908e6da214147079c2 completed May 12, 2026, 10:28 a.m.
Created at: April 10, 2026, 10:14 a.m.