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.