Triple
T16416922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōyama Tokugorō |
E398711
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Tokugorō
Tokugorō is the given name of Ōyama Tokugorō, a Japanese individual identifiable primarily through this personal name.
|
E1265830
|
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: Tokugorō | Statement: [Ōyama Tokugorō, givenName, Tokugorō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tokugorō Context triple: [Ōyama Tokugorō, givenName, Tokugorō]
-
A.
Kuranosuke
Kuranosuke is the given name of Ōishi Kuranosuke, the historical leader of the Forty-seven rōnin in early 18th-century Japan.
-
B.
Shinnosuke
Shinnosuke is a character from the Pokémon anime series, known as a young boy appearing in the episode "The Heartbreak of Brock."
-
C.
Toshimichi
Toshimichi is a Japanese given name most famously borne by Ōkubo Toshimichi, a key statesman and leader of the Meiji Restoration.
-
D.
Kenkichi
Kenkichi is a Japanese masculine given name that can be written with various kanji combinations and has been borne by numerous notable figures in fields such as sports, politics, and the arts.
-
E.
Kenjirō
Kenjirō is a Japanese masculine given name that can be written with various kanji combinations and is borne by multiple notable individuals in fields such as sports, arts, 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: Tokugorō Triple: [Ōyama Tokugorō, givenName, Tokugorō]
Generated description
Tokugorō is the given name of Ōyama Tokugorō, a Japanese individual identifiable primarily through this personal name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tokugorō Target entity description: Tokugorō is the given name of Ōyama Tokugorō, a Japanese individual identifiable primarily through this personal name.
-
A.
Kuranosuke
Kuranosuke is the given name of Ōishi Kuranosuke, the historical leader of the Forty-seven rōnin in early 18th-century Japan.
-
B.
Shinnosuke
Shinnosuke is a character from the Pokémon anime series, known as a young boy appearing in the episode "The Heartbreak of Brock."
-
C.
Toshimichi
Toshimichi is a Japanese given name most famously borne by Ōkubo Toshimichi, a key statesman and leader of the Meiji Restoration.
-
D.
Kenkichi
Kenkichi is a Japanese masculine given name that can be written with various kanji combinations and has been borne by numerous notable figures in fields such as sports, politics, and the arts.
-
E.
Kenjirō
Kenjirō is a Japanese masculine given name that can be written with various kanji combinations and is borne by multiple notable individuals in fields such as sports, arts, 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32877ff248190886717d3329421a7 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019fd7d0648190800540883449cb8e |
completed | May 11, 2026, 9:22 a.m. |
| NEDg | Description generation | batch_6a01a0ea3d3c8190b6c14eea5de3ba5b |
completed | May 11, 2026, 9:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a17c0acc8190a556b68fbcefaa76 |
completed | May 11, 2026, 9:29 a.m. |
Created at: April 10, 2026, 5:09 a.m.