Triple
T17143344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rina Satō |
E416024
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
Haikyō
Haikyō is a Japanese talent agency that manages voice actors and other performers in the entertainment industry.
|
E1274519
|
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: Haikyō | Statement: [Rina Satō, employer, Haikyō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haikyō Context triple: [Rina Satō, employer, Haikyō]
-
A.
Kiga
Kiga is a Bantu language spoken primarily by the Bakiga people of southwestern Uganda, near the Great Lakes region of East Africa.
-
B.
Shinkyō
Shinkyō is the Japanese name for Hsinking, the former capital city of the Japanese puppet state Manchukuo in northeastern China during the early 20th century.
-
C.
Yakumo
Yakumo is a residential neighborhood in Tokyo’s Meguro ward known for its quiet streets, schools, and proximity to parks and shopping areas.
-
D.
Eikyū
Eikyū was a Japanese era name (nengō) of the early 12th century, used during the reign of Emperor Toba.
-
E.
Kōta
Kōta is a town in central Japan known for its manufacturing industries and location within Aichi Prefecture.
- 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: Haikyō Triple: [Rina Satō, employer, Haikyō]
Generated description
Haikyō is a Japanese talent agency that manages voice actors and other performers in the entertainment industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haikyō Target entity description: Haikyō is a Japanese talent agency that manages voice actors and other performers in the entertainment industry.
-
A.
Kiga
Kiga is a Bantu language spoken primarily by the Bakiga people of southwestern Uganda, near the Great Lakes region of East Africa.
-
B.
Shinkyō
Shinkyō is the Japanese name for Hsinking, the former capital city of the Japanese puppet state Manchukuo in northeastern China during the early 20th century.
-
C.
Yakumo
Yakumo is a residential neighborhood in Tokyo’s Meguro ward known for its quiet streets, schools, and proximity to parks and shopping areas.
-
D.
Eikyū
Eikyū was a Japanese era name (nengō) of the early 12th century, used during the reign of Emperor Toba.
-
E.
Kōta
Kōta is a town in central Japan known for its manufacturing industries and location within Aichi Prefecture.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d73c3c81908b875023bb925edb |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01d27638ec8190a125ee8e02086035 |
completed | May 11, 2026, 12:58 p.m. |
| NEDg | Description generation | batch_6a01d36fcfd081908b85e5bafb3eda4e |
completed | May 11, 2026, 1:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01d3ca97b88190800530c80bd5dff0 |
completed | May 11, 2026, 1:04 p.m. |
Created at: April 10, 2026, 5:36 a.m.