Triple
T12159112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinpei |
E289656
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Shinpei Ueda
Shinpei Ueda is a Japanese individual notable enough to be recognized as a distinct bearer of the given name Shinpei.
|
E1448406
|
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: Shinpei Ueda | Statement: [Shinpei, hasNotableBearer, Shinpei Ueda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shinpei Ueda Context triple: [Shinpei, hasNotableBearer, Shinpei Ueda]
-
A.
Tatsuro Ueda
Tatsuro Ueda is a Japanese businessman best known as the founder of the major homebuilding company Sekisui House.
-
B.
Tadahiko Ueda
Tadahiko Ueda is a Japanese individual notable enough to be recognized as a prominent bearer of the given name Tadahiko.
-
C.
Tatsuhiko Kawashima
Tatsuhiko Kawashima is a Japanese academic and former professor best known as the father of Princess Kiko of the Japanese Imperial Family.
-
D.
Shinji Ushiroda
Shinji Ushiroda is a Japanese video game composer best known for his work on Nintendo titles, including contributing to the music of Mario Kart: Double Dash!!.
-
E.
Koichi Tanaka
Koichi Tanaka is a Japanese engineer and Nobel Prize–winning chemist renowned for his pioneering work in mass spectrometry, particularly soft laser desorption ionization.
- 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: Shinpei Ueda Triple: [Shinpei, hasNotableBearer, Shinpei Ueda]
Generated description
Shinpei Ueda is a Japanese individual notable enough to be recognized as a distinct bearer of the given name Shinpei.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shinpei Ueda Target entity description: Shinpei Ueda is a Japanese individual notable enough to be recognized as a distinct bearer of the given name Shinpei.
-
A.
Tatsuro Ueda
Tatsuro Ueda is a Japanese businessman best known as the founder of the major homebuilding company Sekisui House.
-
B.
Tadahiko Ueda
Tadahiko Ueda is a Japanese individual notable enough to be recognized as a prominent bearer of the given name Tadahiko.
-
C.
Tatsuhiko Kawashima
Tatsuhiko Kawashima is a Japanese academic and former professor best known as the father of Princess Kiko of the Japanese Imperial Family.
-
D.
Shinji Ushiroda
Shinji Ushiroda is a Japanese video game composer best known for his work on Nintendo titles, including contributing to the music of Mario Kart: Double Dash!!.
-
E.
Koichi Tanaka
Koichi Tanaka is a Japanese engineer and Nobel Prize–winning chemist renowned for his pioneering work in mass spectrometry, particularly soft laser desorption ionization.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915c277e481908351bf4e664dda42 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e81e54d4819099def0167ac64e26 |
completed | May 16, 2026, 9:56 p.m. |
| NEDg | Description generation | batch_6a08e8fc1d6c819083f06debaa3bec24 |
completed | May 16, 2026, 10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08e98a594c8190b3a2d9ae7e3af4f7 |
completed | May 16, 2026, 10:02 p.m. |
Created at: April 8, 2026, 9:50 p.m.