Triple
T7718044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Akishino |
E174936
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kawashima
Kawashima is a Japanese surname notably borne by Princess Akishino of the Japanese imperial family.
|
E691733
|
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: Kawashima | Statement: [Princess Akishino, familyName, Kawashima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kawashima Context triple: [Princess Akishino, familyName, Kawashima]
-
A.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
-
B.
Kubashima
Kubashima is one of the small, uninhabited islets that make up the disputed Senkaku Islands in the East China Sea.
-
C.
Ushijima
Ushijima is a Japanese surname borne by various notable individuals, including military figures and fictional characters.
-
D.
Munakata
Munakata is a coastal city in Japan known for its ancient Munakata Taisha Shinto shrines and its location in northern Fukuoka Prefecture on Kyushu Island.
-
E.
Oyamazaki
Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
- 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: Kawashima Triple: [Princess Akishino, familyName, Kawashima]
Generated description
Kawashima is a Japanese surname notably borne by Princess Akishino of the Japanese imperial family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kawashima Target entity description: Kawashima is a Japanese surname notably borne by Princess Akishino of the Japanese imperial family.
-
A.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
-
B.
Kubashima
Kubashima is one of the small, uninhabited islets that make up the disputed Senkaku Islands in the East China Sea.
-
C.
Ushijima
Ushijima is a Japanese surname borne by various notable individuals, including military figures and fictional characters.
-
D.
Munakata
Munakata is a coastal city in Japan known for its ancient Munakata Taisha Shinto shrines and its location in northern Fukuoka Prefecture on Kyushu Island.
-
E.
Oyamazaki
Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ceb23481909600f876023dde92 |
completed | March 27, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9a53a44e48190bddf0f4faec136e7 |
completed | March 29, 2026, 10:18 p.m. |
| NEDg | Description generation | batch_69c9a665ccc081909564e4c83dbd303c |
completed | March 29, 2026, 10:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c9a6b366348190b72f896243c70c38 |
completed | March 29, 2026, 10:24 p.m. |
Created at: March 27, 2026, 4:05 p.m.