Triple
T16154979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonoya Mizuno |
E392015
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mizuno
Mizuno is a Japanese surname borne by various notable individuals in fields such as sports, entertainment, and business.
|
E756826
|
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: Mizuno | Statement: [Sonoya Mizuno, familyName, Mizuno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mizuno Context triple: [Sonoya Mizuno, familyName, Mizuno]
-
A.
Mizuno
Mizuno is a Japanese sports equipment and sportswear company known for producing high-quality gear and apparel for a wide range of sports.
-
B.
Onitsuka Tiger
Onitsuka Tiger is a Japanese athletic footwear and apparel brand known for its retro-styled sneakers and as the predecessor to the modern ASICS corporation.
-
C.
Yonex
Yonex is a Japanese sports equipment manufacturer best known for its high-quality badminton, tennis, and golf products used by many professional athletes.
-
D.
Slazenger
Slazenger is a British sports equipment brand best known for its long-standing association with tennis and other racket sports.
-
E.
Babolat
Babolat is a French sports equipment company best known for its high-performance tennis racquets and strings used by many top professional players.
- 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: Mizuno Triple: [Sonoya Mizuno, familyName, Mizuno]
Generated description
Mizuno is a Japanese surname borne by various notable individuals in fields such as sports, entertainment, and business.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mizuno Target entity description: Mizuno is a Japanese surname borne by various notable individuals in fields such as sports, entertainment, and business.
-
A.
Mizuno
chosen
Mizuno is a Japanese sports equipment and sportswear company known for producing high-quality gear and apparel for a wide range of sports.
-
B.
Onitsuka Tiger
Onitsuka Tiger is a Japanese athletic footwear and apparel brand known for its retro-styled sneakers and as the predecessor to the modern ASICS corporation.
-
C.
Yonex
Yonex is a Japanese sports equipment manufacturer best known for its high-quality badminton, tennis, and golf products used by many professional athletes.
-
D.
Slazenger
Slazenger is a British sports equipment brand best known for its long-standing association with tennis and other racket sports.
-
E.
Babolat
Babolat is a French sports equipment company best known for its high-performance tennis racquets and strings used by many top professional players.
- F. None of above.
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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5902a08190ad8694955ef6073a |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7ae46dc81908cba9152a6080c3a |
completed | May 10, 2026, 3:12 a.m. |
| NEDg | Description generation | batch_69fff86a556c819096bc008e1ca76e8c |
completed | May 10, 2026, 3:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff926120081909f1042bf3a16ea10 |
completed | May 10, 2026, 3:19 a.m. |
Created at: April 10, 2026, 5:01 a.m.