Triple
T12608310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Arisugawa Yoriko |
E301041
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Yoriko
Yoriko is a Japanese feminine given name commonly borne by women and girls in Japan.
|
E992540
|
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: Yoriko | Statement: [Princess Arisugawa Yoriko, givenName, Yoriko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yoriko Context triple: [Princess Arisugawa Yoriko, givenName, Yoriko]
-
A.
Yuriko
Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
-
B.
Yuzuriha
Yuzuriha is an evergreen tree commonly used in Japan as a symbolic plant, notably serving as the official tree emblem of Kōchi Prefecture.
-
C.
Takako
Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
-
D.
Tsutako
Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
-
E.
Kiyoko
Kiyoko is a Japanese feminine given name that can be written with various kanji combinations, often carrying meanings related to purity or respect.
- 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: Yoriko Triple: [Princess Arisugawa Yoriko, givenName, Yoriko]
Generated description
Yoriko is a Japanese feminine given name commonly borne by women and girls in Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yoriko Target entity description: Yoriko is a Japanese feminine given name commonly borne by women and girls in Japan.
-
A.
Yuriko
Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
-
B.
Yuzuriha
Yuzuriha is an evergreen tree commonly used in Japan as a symbolic plant, notably serving as the official tree emblem of Kōchi Prefecture.
-
C.
Takako
Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
-
D.
Tsutako
Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
-
E.
Kiyoko
Kiyoko is a Japanese feminine given name that can be written with various kanji combinations, often carrying meanings related to purity or respect.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e90efc81909951dbe698afa851 |
completed | April 10, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ecf3e248190868c1eb864191f8b |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f66088890c8190b67a958d7f0822a6 |
completed | May 2, 2026, 8:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6613e31fc8190bdb98f91c9e6c967 |
completed | May 2, 2026, 8:40 p.m. |
Created at: April 9, 2026, 5:11 p.m.