Triple
T20214210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babel |
E493573
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Yuriko
Yuriko is a creator known for developing the project or work titled "Babel."
|
E1563758
|
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: Yuriko | Statement: [Babel, creator, Yuriko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuriko Context triple: [Babel, creator, Yuriko]
-
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.
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.
-
C.
Yoriko
Yoriko is a Japanese feminine given name commonly borne by women and girls in Japan.
-
D.
Ayako
Ayako is a Japanese feminine given name commonly used for women and girls in Japan.
-
E.
Junko
Junko is a common Japanese feminine given name borne by numerous notable figures in fields such as entertainment, sports, and the arts.
- 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: Yuriko Triple: [Babel, creator, Yuriko]
Generated description
Yuriko is a creator known for developing the project or work titled "Babel."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yuriko Target entity description: Yuriko is a creator known for developing the project or work titled "Babel."
-
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.
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.
-
C.
Yoriko
Yoriko is a Japanese feminine given name commonly borne by women and girls in Japan.
-
D.
Ayako
Ayako is a Japanese feminine given name commonly used for women and girls in Japan.
-
E.
Junko
Junko is a common Japanese feminine given name borne by numerous notable figures in fields such as entertainment, sports, and the arts.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed8101081908e53a8bde48624b1 |
completed | April 20, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc9fb986081909c57065725c4b05d |
completed | May 19, 2026, 2:24 a.m. |
| NEDg | Description generation | batch_6a0bcb4762dc8190aaf9d245309db7a2 |
completed | May 19, 2026, 2:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bcbd766e88190a76a8086fe7fe93b |
completed | May 19, 2026, 2:32 a.m. |
Created at: April 11, 2026, 11:38 p.m.