Triple
T9690408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bloodborne |
E234521
|
entity |
| Predicate | artist |
P184
|
FINISHED |
| Object |
Masaki Yamanaka
Masaki Yamanaka is a Japanese artist known for his concept and illustration work on the dark fantasy action role-playing game Bloodborne.
|
E914034
|
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: Masaki Yamanaka | Statement: [Bloodborne, artist, Masaki Yamanaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masaki Yamanaka Context triple: [Bloodborne, artist, Masaki Yamanaka]
-
A.
Takeharu Yamanaka
Takeharu Yamanaka is a Japanese politician serving as the mayor of Yokohama, one of Japan’s largest cities.
-
B.
Seiko Yamanaka
Seiko Yamanaka is a Japanese given name bearer, most likely a woman, whose specific public achievements or background are not widely documented.
-
C.
Masanobu Takayanagi
Masanobu Takayanagi is a Japanese cinematographer known for his work on acclaimed films such as Silver Linings Playbook, Spotlight, and Warrior.
-
D.
Takatoshi Nishiwaki
Takatoshi Nishiwaki is a Japanese politician serving as the governor of Kyoto Prefecture.
-
E.
Akira Nishitani
Akira Nishitani is a Japanese video game designer best known for his influential work at Capcom on classic arcade titles such as Street Fighter II and Final Fight.
- 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: Masaki Yamanaka Triple: [Bloodborne, artist, Masaki Yamanaka]
Generated description
Masaki Yamanaka is a Japanese artist known for his concept and illustration work on the dark fantasy action role-playing game Bloodborne.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Masaki Yamanaka Target entity description: Masaki Yamanaka is a Japanese artist known for his concept and illustration work on the dark fantasy action role-playing game Bloodborne.
-
A.
Takeharu Yamanaka
Takeharu Yamanaka is a Japanese politician serving as the mayor of Yokohama, one of Japan’s largest cities.
-
B.
Seiko Yamanaka
Seiko Yamanaka is a Japanese given name bearer, most likely a woman, whose specific public achievements or background are not widely documented.
-
C.
Masanobu Takayanagi
Masanobu Takayanagi is a Japanese cinematographer known for his work on acclaimed films such as Silver Linings Playbook, Spotlight, and Warrior.
-
D.
Takatoshi Nishiwaki
Takatoshi Nishiwaki is a Japanese politician serving as the governor of Kyoto Prefecture.
-
E.
Akira Nishitani
Akira Nishitani is a Japanese video game designer best known for his influential work at Capcom on classic arcade titles such as Street Fighter II and Final Fight.
- 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d0422e88190a234ba74eb0dad25 |
completed | April 1, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cbacad608190adddd91f13e4113b |
completed | April 19, 2026, 12:33 p.m. |
| NEDg | Description generation | batch_69e4d9e87508819080932fac06fb754d |
completed | April 19, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4dda28b0081909245b65faae3533b |
completed | April 19, 2026, 1:50 p.m. |
Created at: March 30, 2026, 8:17 p.m.