Triple
T9001935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oreshura |
E215056
|
entity |
| Predicate | animeDirector |
P85631
|
FINISHED |
| Object |
Kanta Kamei
Kanta Kamei is a Japanese anime director known for helming the romantic comedy series "Oreshura."
|
E771958
|
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: Kanta Kamei | Statement: [Oreshura, animeDirector, Kanta Kamei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanta Kamei Context triple: [Oreshura, animeDirector, Kanta Kamei]
-
A.
Hajino Nakamaro
Hajino Nakamaro was a historical Japanese figure traditionally credited with founding Sensō-ji, one of Tokyo’s oldest and most significant Buddhist temples.
-
B.
Hisako Suga
Hisako Suga, better known as Princess Takamado, is a member of the Japanese Imperial Family recognized for her cultural, charitable, and international goodwill activities.
-
C.
Akiko Takeshita
Akiko Takeshita is a Japanese actress known internationally for her supporting role in the film "Lost in Translation."
-
D.
Naoko Satō
Naoko Satō is a Japanese given name borne by various notable individuals, including figures in entertainment, sports, and the arts.
-
E.
Tanaka Makiko
Tanaka Makiko is a Japanese politician and former foreign minister known for her reformist stance and outspoken criticism of Japan’s political establishment.
- 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: Kanta Kamei Triple: [Oreshura, animeDirector, Kanta Kamei]
Generated description
Kanta Kamei is a Japanese anime director known for helming the romantic comedy series "Oreshura."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kanta Kamei Target entity description: Kanta Kamei is a Japanese anime director known for helming the romantic comedy series "Oreshura."
-
A.
Hajino Nakamaro
Hajino Nakamaro was a historical Japanese figure traditionally credited with founding Sensō-ji, one of Tokyo’s oldest and most significant Buddhist temples.
-
B.
Hisako Suga
Hisako Suga, better known as Princess Takamado, is a member of the Japanese Imperial Family recognized for her cultural, charitable, and international goodwill activities.
-
C.
Akiko Takeshita
Akiko Takeshita is a Japanese actress known internationally for her supporting role in the film "Lost in Translation."
-
D.
Naoko Satō
Naoko Satō is a Japanese given name borne by various notable individuals, including figures in entertainment, sports, and the arts.
-
E.
Tanaka Makiko
Tanaka Makiko is a Japanese politician and former foreign minister known for her reformist stance and outspoken criticism of Japan’s political establishment.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6956a6e08190bd3853a7c1c130eb |
completed | April 1, 2026, 12:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0ddb1648190a50f8877218d9883 |
completed | April 3, 2026, 2:38 p.m. |
| NEDg | Description generation | batch_69cfd1b4a80c8190be50b67698f56c28 |
completed | April 3, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd2c99f1c8190b82fd98f5d3243d3 |
completed | April 3, 2026, 2:46 p.m. |
Created at: March 30, 2026, 7:05 p.m.