Triple
T8437590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akinobu Uraku |
E199266
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Uraku
Uraku is a Japanese surname associated with individuals such as Akinobu Uraku.
|
E756564
|
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: Uraku | Statement: [Akinobu Uraku, familyName, Uraku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uraku Context triple: [Akinobu Uraku, familyName, Uraku]
-
A.
Kairakuen
Kairakuen is a renowned Japanese landscape garden famous for its extensive plum tree groves and seasonal flower displays.
-
B.
Higashikurume
Higashikurume is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and role as a commuter area for central Tokyo.
-
C.
Marunouchi
Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
-
D.
Akiruno
Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
-
E.
Sankashū
Sankashū is a renowned anthology of waka poetry by the Japanese poet-monk Saigyō, celebrated for its deeply reflective and nature-focused verse from the late Heian period.
- 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: Uraku Triple: [Akinobu Uraku, familyName, Uraku]
Generated description
Uraku is a Japanese surname associated with individuals such as Akinobu Uraku.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uraku Target entity description: Uraku is a Japanese surname associated with individuals such as Akinobu Uraku.
-
A.
Kairakuen
Kairakuen is a renowned Japanese landscape garden famous for its extensive plum tree groves and seasonal flower displays.
-
B.
Higashikurume
Higashikurume is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and role as a commuter area for central Tokyo.
-
C.
Marunouchi
Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
-
D.
Akiruno
Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
-
E.
Sankashū
Sankashū is a renowned anthology of waka poetry by the Japanese poet-monk Saigyō, celebrated for its deeply reflective and nature-focused verse from the late Heian period.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe13446788190ad52a4fd6e8b498a |
completed | March 31, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf512d294c8190bed7e37991d237c1 |
completed | April 3, 2026, 5:33 a.m. |
| NEDg | Description generation | batch_69cf540bee8081908f9c176a1971742f |
completed | April 3, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf54a056408190bd536f79e3ec33be |
completed | April 3, 2026, 5:48 a.m. |
Created at: March 30, 2026, 6:08 p.m.