Triple
T796495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese Americans |
E17033
|
entity |
| Predicate | subgroup |
P10
|
FINISHED |
| Object |
Sansei
Sansei are third-generation Japanese Americans, typically the grandchildren of Japanese immigrants to the United States.
|
E96382
|
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: Sansei | Statement: [Japanese Americans, subgroup, Sansei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sansei Context triple: [Japanese Americans, subgroup, Sansei]
-
A.
Nisshoki
Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
-
B.
Shōda
Shōda is a Japanese surname notably borne by Michiko Shōda, who became Empress Michiko of Japan.
-
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.
Sasazuka
Sasazuka is a residential and commercial neighborhood in Tokyo known for its convenient access to central Shibuya and its mix of traditional shopping streets and modern urban living.
-
E.
Kyodai
Kyodai is the common abbreviated name for Kyoto University, one of Japan’s most prestigious national research universities.
- 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: Sansei Triple: [Japanese Americans, subgroup, Sansei]
Generated description
Sansei are third-generation Japanese Americans, typically the grandchildren of Japanese immigrants to the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sansei Target entity description: Sansei are third-generation Japanese Americans, typically the grandchildren of Japanese immigrants to the United States.
-
A.
Nisshoki
Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
-
B.
Shōda
Shōda is a Japanese surname notably borne by Michiko Shōda, who became Empress Michiko of Japan.
-
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.
Sasazuka
Sasazuka is a residential and commercial neighborhood in Tokyo known for its convenient access to central Shibuya and its mix of traditional shopping streets and modern urban living.
-
E.
Kyodai
Kyodai is the common abbreviated name for Kyoto University, one of Japan’s most prestigious national research universities.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7b172e88190a26d31c9075b81fb |
completed | March 1, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d7fba6c819097d8e2d962d0241f |
completed | March 3, 2026, 11:23 p.m. |
| NEDg | Description generation | batch_69a783814b188190b449cd191667f1a1 |
completed | March 4, 2026, 12:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7840593988190b6882b456f0eea41 |
completed | March 4, 2026, 12:59 a.m. |
Created at: March 1, 2026, 7:38 p.m.