Triple
T23162256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shō Shin |
E578617
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Shō
Shō is a Japanese surname most famously associated with the royal family of the Ryukyu Kingdom, including King Shō Shin.
|
E1592051
|
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: Shō | Statement: [Shō Shin, familyName, Shō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shō Context triple: [Shō Shin, familyName, Shō]
-
A.
Seiji
Seiji is a Japanese given name most famously associated with the renowned conductor Seiji Ozawa.
-
B.
Tarō
Tarō is a common Japanese masculine given name, often written with kanji meaning "eldest son" and frequently used in traditional and modern Japanese culture.
-
C.
Shōhō
Shōhō was a Japanese era name (nengō) of the early Edo period, used for a brief span in the mid-17th century.
-
D.
Shōhō
Shōhō was a Japanese light aircraft carrier of the Imperial Japanese Navy during World War II, notable for being the first Japanese carrier sunk in the war during the Battle of the Coral Sea.
-
E.
Yoshio
Yoshio is a Japanese masculine given name that can be written with various kanji characters and is borne by numerous real and fictional individuals.
- 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: Shō Triple: [Shō Shin, familyName, Shō]
Generated description
Shō is a Japanese surname most famously associated with the royal family of the Ryukyu Kingdom, including King Shō Shin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shō Target entity description: Shō is a Japanese surname most famously associated with the royal family of the Ryukyu Kingdom, including King Shō Shin.
-
A.
Seiji
Seiji is a Japanese given name most famously associated with the renowned conductor Seiji Ozawa.
-
B.
Tarō
Tarō is a common Japanese masculine given name, often written with kanji meaning "eldest son" and frequently used in traditional and modern Japanese culture.
-
C.
Shōhō
Shōhō was a Japanese light aircraft carrier of the Imperial Japanese Navy during World War II, notable for being the first Japanese carrier sunk in the war during the Battle of the Coral Sea.
-
D.
Shōhō
Shōhō was a Japanese era name (nengō) of the early Edo period, used for a brief span in the mid-17th century.
-
E.
Yoshio
Yoshio is a Japanese masculine given name that can be written with various kanji characters and is borne by numerous real and fictional individuals.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f019cd881908e3c68d99454da2a |
completed | April 29, 2026, 4:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf276ac0819085dc4caac7dd8b0c |
completed | May 19, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_6a0d7213f9508190a8884846e19079e3 |
completed | May 20, 2026, 8:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0d72ad1b148190bbe5f65e84ac2837 |
completed | May 20, 2026, 8:37 a.m. |
Created at: April 17, 2026, 4:02 p.m.