Triple
T13646827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toshi Yoshida |
E326124
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Toshi
Toshi is a Japanese given name commonly used for both males and females, often as a short form of longer names such as Toshiro or Toshiko.
|
E1053753
|
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: Toshi | Statement: [Toshi Yoshida, givenName, Toshi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toshi Context triple: [Toshi Yoshida, givenName, Toshi]
-
A.
Takatoshi
Takatoshi is a masculine Japanese given name that can be written with various kanji combinations and is borne by multiple notable individuals in Japan.
-
B.
Shoki
"Shoki" is a popular Nigerian street-hop song by Lil Kesh that helped propel him to mainstream fame and popularized a viral dance of the same name.
-
C.
Yoske
Yoske is a diminutive or affectionate nickname commonly used as a short form of the Hebrew given name Yosef.
-
D.
Takaichi
Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
-
E.
Tomonori
Tomonori is a Japanese masculine given name used by various notable individuals in fields such as sports and entertainment.
- 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: Toshi Triple: [Toshi Yoshida, givenName, Toshi]
Generated description
Toshi is a Japanese given name commonly used for both males and females, often as a short form of longer names such as Toshiro or Toshiko.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toshi Target entity description: Toshi is a Japanese given name commonly used for both males and females, often as a short form of longer names such as Toshiro or Toshiko.
-
A.
Takatoshi
Takatoshi is a masculine Japanese given name that can be written with various kanji combinations and is borne by multiple notable individuals in Japan.
-
B.
Shoki
"Shoki" is a popular Nigerian street-hop song by Lil Kesh that helped propel him to mainstream fame and popularized a viral dance of the same name.
-
C.
Yoske
Yoske is a diminutive or affectionate nickname commonly used as a short form of the Hebrew given name Yosef.
-
D.
Takaichi
Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
-
E.
Tomonori
Tomonori is a Japanese masculine given name used by various notable individuals in fields such as sports and entertainment.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6073e888190965456a639839749 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78af948408190bca7f2e46863391e |
completed | May 3, 2026, 5:50 p.m. |
| NEDg | Description generation | batch_69f78bd52b748190ab483ec7634a6549 |
completed | May 3, 2026, 5:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78d277c5c8190970cb3cd0fd32905 |
completed | May 3, 2026, 6 p.m. |
Created at: April 9, 2026, 9:52 p.m.