Triple
T13146052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenichi Matsuyama |
E312336
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
松山ケンイチ
松山ケンイチは、『デスノート』のL役などで知られる日本の俳優です。
|
E1024330
|
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: 松山ケンイチ | Statement: [Kenichi Matsuyama, nativeName, 松山ケンイチ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 松山ケンイチ Context triple: [Kenichi Matsuyama, nativeName, 松山ケンイチ]
-
A.
Joji Watanuki
Joji Watanuki is a political scientist known for his collaborative work with Samuel P. Huntington on comparative politics and political development.
-
B.
Eishiro Saito
Eishiro Saito was a prominent Japanese businessman and sports administrator who notably led the organizing committee for the 1998 Winter Olympics in Nagano.
-
C.
Kazuyuki Furuya
Kazuyuki Furuya is a Japanese government official who serves as a leading antitrust and competition policy regulator.
-
D.
Tetsu Katayama
Tetsu Katayama was a Japanese socialist politician who served as Japan’s first postwar prime minister and the first from a socialist party.
-
E.
Sakai Takashi
Sakai Takashi was an Imperial Japanese Army general best known for leading Japanese forces during the early Pacific War, including the invasion of Hong Kong.
- 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: 松山ケンイチ Triple: [Kenichi Matsuyama, nativeName, 松山ケンイチ]
Generated description
松山ケンイチは、『デスノート』のL役などで知られる日本の俳優です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 松山ケンイチ Target entity description: 松山ケンイチは、『デスノート』のL役などで知られる日本の俳優です。
-
A.
Joji Watanuki
Joji Watanuki is a political scientist known for his collaborative work with Samuel P. Huntington on comparative politics and political development.
-
B.
Eishiro Saito
Eishiro Saito was a prominent Japanese businessman and sports administrator who notably led the organizing committee for the 1998 Winter Olympics in Nagano.
-
C.
Kazuyuki Furuya
Kazuyuki Furuya is a Japanese government official who serves as a leading antitrust and competition policy regulator.
-
D.
Tetsu Katayama
Tetsu Katayama was a Japanese socialist politician who served as Japan’s first postwar prime minister and the first from a socialist party.
-
E.
Sakai Takashi
Sakai Takashi was an Imperial Japanese Army general best known for leading Japanese forces during the early Pacific War, including the invasion of Hong Kong.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bcf6d0c819081d078f33e4bdedc |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eae675508190991ce5902768c45a |
completed | May 3, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69f6ebb1cd208190970ad8c21e852d93 |
completed | May 3, 2026, 6:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ec48035881909342b57c061a22a9 |
completed | May 3, 2026, 6:33 a.m. |
Created at: April 9, 2026, 9:10 p.m.