Triple
T18351283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South of the Border, West of the Sun |
E439671
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Yukiko
Yukiko is a character in Haruki Murakami’s novel "South of the Border, West of the Sun," serving as a figure from the protagonist’s past whose reappearance profoundly affects his adult life and relationships.
|
E1358617
|
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: Yukiko | Statement: [South of the Border, West of the Sun, character, Yukiko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yukiko Context triple: [South of the Border, West of the Sun, character, Yukiko]
-
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.
Yoriko
Yoriko is a Japanese feminine given name commonly borne by women and girls in Japan.
-
C.
Ayako
Ayako is a Japanese feminine given name commonly used for women and girls in Japan.
-
D.
Takako
Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
-
E.
Sachiko
Sachiko is a Japanese feminine given name that can be written with various kanji combinations, often conveying meanings related to happiness or child.
- 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: Yukiko Triple: [South of the Border, West of the Sun, character, Yukiko]
Generated description
Yukiko is a character in Haruki Murakami’s novel "South of the Border, West of the Sun," serving as a figure from the protagonist’s past whose reappearance profoundly affects his adult life and relationships.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yukiko Target entity description: Yukiko is a character in Haruki Murakami’s novel "South of the Border, West of the Sun," serving as a figure from the protagonist’s past whose reappearance profoundly affects his adult life and relationships.
-
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.
Yoriko
Yoriko is a Japanese feminine given name commonly borne by women and girls in Japan.
-
C.
Ayako
Ayako is a Japanese feminine given name commonly used for women and girls in Japan.
-
D.
Takako
Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
-
E.
Sachiko
Sachiko is a Japanese feminine given name that can be written with various kanji combinations, often conveying meanings related to happiness or child.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f83b648190b473cf611851c666 |
completed | April 19, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05dd7abe78819097c4781d0579a065 |
completed | May 14, 2026, 2:34 p.m. |
| NEDg | Description generation | batch_6a05dfcd85b08190b0ec431590396dbb |
completed | May 14, 2026, 2:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05e09f607c81909c9ef31c4e1b47b1 |
completed | May 14, 2026, 2:47 p.m. |
Created at: April 10, 2026, 10:37 a.m.