Triple
T1575964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taro |
E33651
|
entity |
| Predicate | kanjiVariant |
P17917
|
FINISHED |
| Object |
太朗
太朗 is a common Japanese male given name, typically conveying meanings associated with being a “big” or “eldest” son.
|
E179786
|
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: 太朗 | Statement: [Taro, kanjiVariant, 太朗]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 太朗 Context triple: [Taro, kanjiVariant, 太朗]
-
A.
南 次郎
南 次郎(Jirō Minami)は、日中戦争期に朝鮮総督などを務めた日本の陸軍軍人・政治家です。
-
B.
Ma Xiaotian
Ma Xiaotian is a Chinese air force general who served as Commander of the People's Liberation Army Air Force.
-
C.
Li Yunhe
Li Yunhe is the birth name of Jiang Qing, the influential Chinese Communist political figure and wife of Mao Zedong who became a leading member of the Cultural Revolution’s Gang of Four.
-
D.
朝永振一郎
朝永振一郎 was a Japanese theoretical physicist and Nobel laureate renowned for his fundamental contributions to quantum electrodynamics.
-
E.
Jing Tian
Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
- 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: 太朗 Triple: [Taro, kanjiVariant, 太朗]
Generated description
太朗 is a common Japanese male given name, typically conveying meanings associated with being a “big” or “eldest” son.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 太朗 Target entity description: 太朗 is a common Japanese male given name, typically conveying meanings associated with being a “big” or “eldest” son.
-
A.
南 次郎
南 次郎(Jirō Minami)は、日中戦争期に朝鮮総督などを務めた日本の陸軍軍人・政治家です。
-
B.
Ma Xiaotian
Ma Xiaotian is a Chinese air force general who served as Commander of the People's Liberation Army Air Force.
-
C.
天神
天神 is a Japanese Shinto deity most commonly associated with scholarship and learning, often identified with the deified scholar Sugawara no Michizane.
-
D.
Li Yunhe
Li Yunhe is the birth name of Jiang Qing, the influential Chinese Communist political figure and wife of Mao Zedong who became a leading member of the Cultural Revolution’s Gang of Four.
-
E.
朝永振一郎
朝永振一郎 was a Japanese theoretical physicist and Nobel laureate renowned for his fundamental contributions to quantum electrodynamics.
- 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_69a885f27a4c8190a4622252cdf54c00 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61ddc9908190a4afca1c24400817 |
completed | March 6, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad402b44688190b02e6d146f009854 |
completed | March 8, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_69ad410ba7f881909dcee6e6fd56490f |
completed | March 8, 2026, 9:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad41ff0b0c8190b5429ed6952a0ce6 |
completed | March 8, 2026, 9:31 a.m. |
Created at: March 4, 2026, 7:27 p.m.