Triple
T10668669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chūichi Hara |
E251426
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object |
Chūichi
Chūichi is a Japanese masculine given name that has been borne by various notable individuals, including military officers and public figures.
|
E916614
|
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: Chūichi | Statement: [Chūichi Hara, hasGivenName, Chūichi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chūichi Context triple: [Chūichi Hara, hasGivenName, Chūichi]
-
A.
Takayoshi
Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
-
B.
Shinpei
Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, arts, and entertainment.
-
C.
Ichirō
Ichirō is a common Japanese masculine given name that can be written with various kanji and is often associated with first-born sons.
-
D.
Takakichi
Takakichi is a Japanese given name, notably borne by Takakichi Aso, a member of the prominent Aso family involved in politics and business.
-
E.
Kinnosuke
Kinnosuke is the given name of the renowned Japanese novelist Natsume Sōseki, a central figure in modern Japanese literature.
- 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: Chūichi Triple: [Chūichi Hara, hasGivenName, Chūichi]
Generated description
Chūichi is a Japanese masculine given name that has been borne by various notable individuals, including military officers and public figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chūichi Target entity description: Chūichi is a Japanese masculine given name that has been borne by various notable individuals, including military officers and public figures.
-
A.
Takayoshi
Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
-
B.
Shinpei
Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, arts, and entertainment.
-
C.
Ichirō
Ichirō is a common Japanese masculine given name that can be written with various kanji and is often associated with first-born sons.
-
D.
Takakichi
Takakichi is a Japanese given name, notably borne by Takakichi Aso, a member of the prominent Aso family involved in politics and business.
-
E.
Kinnosuke
Kinnosuke is the given name of the renowned Japanese novelist Natsume Sōseki, a central figure in modern Japanese literature.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f860790c81909c2c1d3c489ec5b4 |
completed | April 9, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5099f57ac81909e7734b83ad96a40 |
completed | April 19, 2026, 4:58 p.m. |
| NEDg | Description generation | batch_69e50ec6ad388190b2518692d30c371c |
completed | April 19, 2026, 5:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5168c8da0819093bf61d8ea5f9e35 |
completed | April 19, 2026, 5:53 p.m. |
Created at: April 8, 2026, 9:09 p.m.