Triple
T11082213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shōji Nishimura |
E262027
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Shōji
Shōji is a Japanese masculine given name that can be written with various kanji and is borne by numerous notable figures in fields such as the military, arts, and sports.
|
E905112
|
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: Shōji | Statement: [Shōji Nishimura, givenName, Shōji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shōji Context triple: [Shōji Nishimura, givenName, Shōji]
-
A.
Shirokane
Shirokane is an upscale residential district in Minato, Tokyo, known for its quiet, leafy streets, luxury apartments, and proximity to central business and shopping areas.
-
B.
Ishibashi
Ishibashi is a Japanese surname associated with various notable families and individuals in Japan.
-
C.
Yasuji
Yasuji is a Japanese given name commonly used for males and borne by various notable figures in Japan.
-
D.
Mizumoto
Mizumoto is a neighborhood in Tokyo’s Katsushika ward, known for its large riverside Mizumoto Park and relatively green, residential environment.
-
E.
Hiranaka
Hiranaka is a Japanese surname borne by individuals such as former professional boxer Akinobu Hiranaka.
- 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: Shōji Triple: [Shōji Nishimura, givenName, Shōji]
Generated description
Shōji is a Japanese masculine given name that can be written with various kanji and is borne by numerous notable figures in fields such as the military, arts, and sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shōji Target entity description: Shōji is a Japanese masculine given name that can be written with various kanji and is borne by numerous notable figures in fields such as the military, arts, and sports.
-
A.
Shirokane
Shirokane is an upscale residential district in Minato, Tokyo, known for its quiet, leafy streets, luxury apartments, and proximity to central business and shopping areas.
-
B.
Ishibashi
Ishibashi is a Japanese surname associated with various notable families and individuals in Japan.
-
C.
Yasuji
Yasuji is a Japanese given name commonly used for males and borne by various notable figures in Japan.
-
D.
Mizumoto
Mizumoto is a neighborhood in Tokyo’s Katsushika ward, known for its large riverside Mizumoto Park and relatively green, residential environment.
-
E.
Hiranaka
Hiranaka is a Japanese surname borne by individuals such as former professional boxer Akinobu Hiranaka.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799985650819089b2c0f35a212414 |
completed | April 9, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d641c288190b3fed49022f5552d |
completed | April 19, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69e42e67724481908bd9e73487a80d44 |
completed | April 19, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4308103c48190b32ee3047d9a0860 |
completed | April 19, 2026, 1:31 a.m. |
Created at: April 8, 2026, 9:27 p.m.