Triple
T887003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hayato Ikeda |
E19151
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ikeda
Ikeda is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and academia.
|
E151936
|
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: Ikeda | Statement: [Hayato Ikeda, familyName, Ikeda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ikeda Context triple: [Hayato Ikeda, familyName, Ikeda]
-
A.
Satō
Satō is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
-
B.
Higashikuni
Higashikuni is a former Japanese princely house and branch of the Imperial Family, established in the Meiji era and known for its close ties to the main imperial line.
-
C.
Yamamoto
Yamamoto is a Japanese surname most famously associated with Admiral Isoroku Yamamoto, the commander-in-chief of the Imperial Japanese Navy during World War II.
-
D.
Owada
Owada is a Japanese surname most notably borne by Empress Masako of Japan and her family.
-
E.
Hirakata
Hirakata is a city in Japan located between Osaka and Kyoto, known for its residential suburbs, historical sites, and the popular Hirakata Park amusement park.
- 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: Ikeda Triple: [Hayato Ikeda, familyName, Ikeda]
Generated description
Ikeda is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and academia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ikeda Target entity description: Ikeda is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and academia.
-
A.
Satō
Satō is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
-
B.
Higashikuni
Higashikuni is a former Japanese princely house and branch of the Imperial Family, established in the Meiji era and known for its close ties to the main imperial line.
-
C.
Yamamoto
Yamamoto is a Japanese surname most famously associated with Admiral Isoroku Yamamoto, the commander-in-chief of the Imperial Japanese Navy during World War II.
-
D.
Owada
Owada is a Japanese surname most notably borne by Empress Masako of Japan and her family.
-
E.
Hirakata
Hirakata is a city in Japan located between Osaka and Kyoto, known for its residential suburbs, historical sites, and the popular Hirakata Park amusement park.
- 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ace8b8688190ac065f92c017adec |
completed | March 1, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf057d688190bbd86a6727215bd2 |
completed | March 8, 2026, 12:12 a.m. |
| NEDg | Description generation | batch_69acbf873544819099d3dff98a6b2244 |
completed | March 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc06483b08190b5b29f684b83f43f |
completed | March 8, 2026, 12:18 a.m. |
Created at: March 1, 2026, 7:39 p.m.