Triple
T3078322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rikken Kaishintō |
E64192
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object |
Hoshi Tōru
Hoshi Tōru was a prominent Japanese politician of the Meiji era known for his leadership in early constitutional and parliamentary politics.
|
E324951
|
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: Hoshi Tōru | Statement: [Rikken Kaishintō, notableMember, Hoshi Tōru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoshi Tōru Context triple: [Rikken Kaishintō, notableMember, Hoshi Tōru]
-
A.
Makoto Kobayashi
Makoto Kobayashi is a Japanese theoretical physicist renowned for his work on CP violation in the Standard Model, for which he shared the 2008 Nobel Prize in Physics.
-
B.
Shuji
Shuji is a Japanese given name most notably borne by Nobel Prize–winning physicist Shuji Nakamura.
-
C.
Makoto Uchida
Makoto Uchida is a Japanese automotive executive who serves as the chief executive officer of Nissan Motor Co.
-
D.
Shizuo
Shizuo is a Japanese masculine given name borne by several notable figures, including mathematicians and artists.
-
E.
Senichi Hoshino
Senichi Hoshino was a prominent Japanese baseball manager and former pitcher, best known for revitalizing multiple Nippon Professional Baseball teams and leading them to championship success.
- 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: Hoshi Tōru Triple: [Rikken Kaishintō, notableMember, Hoshi Tōru]
Generated description
Hoshi Tōru was a prominent Japanese politician of the Meiji era known for his leadership in early constitutional and parliamentary politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hoshi Tōru Target entity description: Hoshi Tōru was a prominent Japanese politician of the Meiji era known for his leadership in early constitutional and parliamentary politics.
-
A.
Makoto Kobayashi
Makoto Kobayashi is a Japanese theoretical physicist renowned for his work on CP violation in the Standard Model, for which he shared the 2008 Nobel Prize in Physics.
-
B.
Shuji
Shuji is a Japanese given name most notably borne by Nobel Prize–winning physicist Shuji Nakamura.
-
C.
Makoto Uchida
Makoto Uchida is a Japanese automotive executive who serves as the chief executive officer of Nissan Motor Co.
-
D.
Shizuo
Shizuo is a Japanese masculine given name borne by several notable figures, including mathematicians and artists.
-
E.
Senichi Hoshino
Senichi Hoshino was a prominent Japanese baseball manager and former pitcher, best known for revitalizing multiple Nippon Professional Baseball teams and leading them to championship success.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1a86a848190a47ca127cc7e6326 |
completed | March 8, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f890a21c8190bcb78fe5c9ec6e75 |
completed | March 11, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_69b1f9883fa48190b41921bcfbe55e59 |
completed | March 11, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f9f759408190a4f2121078fe13cb |
completed | March 11, 2026, 11:25 p.m. |
Created at: March 8, 2026, 3:02 p.m.