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.