Triple
T11082214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shōji Nishimura |
E262027
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Nishimura
Nishimura is a Japanese surname borne by numerous individuals across fields such as politics, sports, arts, and academia.
|
E924013
|
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: Nishimura | Statement: [Shōji Nishimura, familyName, Nishimura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nishimura Context triple: [Shōji Nishimura, familyName, Nishimura]
-
A.
Yamamoto
Yamamoto is a Japanese surname most famously associated with Admiral Isoroku Yamamoto, the commander-in-chief of the Imperial Japanese Navy during World War II.
-
B.
Takanami
Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
-
C.
Hiranuma
Hiranuma is a notable district within Nishi Ward in Yokohama, Japan, known as part of the city’s central urban area.
-
D.
Naoyoshi
Naoyoshi is a Japanese given name commonly used for males.
-
E.
Chūhei Nambu
Chūhei Nambu was a Japanese track and field athlete who won gold and bronze medals in the long jump and triple jump at the 1932 Los Angeles Olympics and set multiple world records.
- 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: Nishimura Triple: [Shōji Nishimura, familyName, Nishimura]
Generated description
Nishimura is a Japanese surname borne by numerous individuals across fields such as politics, sports, arts, and academia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nishimura Target entity description: Nishimura is a Japanese surname borne by numerous individuals across fields such as politics, sports, arts, and academia.
-
A.
Yamamoto
Yamamoto is a Japanese surname most famously associated with Admiral Isoroku Yamamoto, the commander-in-chief of the Imperial Japanese Navy during World War II.
-
B.
Takanami
Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
-
C.
Hiranuma
Hiranuma is a notable district within Nishi Ward in Yokohama, Japan, known as part of the city’s central urban area.
-
D.
Naoyoshi
Naoyoshi is a Japanese given name commonly used for males.
-
E.
Chūhei Nambu
Chūhei Nambu was a Japanese track and field athlete who won gold and bronze medals in the long jump and triple jump at the 1932 Los Angeles Olympics and set multiple world records.
- 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_69e5b76fa8348190bb42f1c71eb0e545 |
completed | April 20, 2026, 5:19 a.m. |
| NEDg | Description generation | batch_69e5bb5d6e0c8190933cd3d6e83c24a2 |
completed | April 20, 2026, 5:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5c29d7b608190ae79bb8318211547 |
completed | April 20, 2026, 6:07 a.m. |
Created at: April 8, 2026, 9:27 p.m.