Triple
T3968535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rodan |
E92273
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Ken Kuronuma
Ken Kuronuma was a Japanese screenwriter best known for his work on classic kaiju films, including the original "Rodan."
|
E689432
|
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: Ken Kuronuma | Statement: [Rodan, creator, Ken Kuronuma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Kuronuma Context triple: [Rodan, creator, Ken Kuronuma]
-
A.
Makoto Satō
Makoto Satō is a Japanese actor known for his roles in mid-20th-century cinema and television.
-
B.
Masahiko Satō
Masahiko Satō is a Japanese jazz pianist and composer known for his innovative, avant-garde contributions to the postwar Japanese jazz scene.
-
C.
Yoshinori Satō
Yoshinori Satō is a Japanese professional baseball pitcher known for his career in Nippon Professional Baseball (NPB), particularly with the Tokyo Yakult Swallows.
-
D.
Shigetarō Shimada
Shigetarō Shimada was an admiral in the Imperial Japanese Navy who served as Navy Minister and a key naval leader during World War II.
-
E.
Yasuhiro Satō
Yasuhiro Satō is a Japanese professional kickboxer known for competing in organizations such as K-1 and for his technical fighting style in the lightweight and welterweight divisions.
- 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: Ken Kuronuma Triple: [Rodan, creator, Ken Kuronuma]
Generated description
Ken Kuronuma was a Japanese screenwriter best known for his work on classic kaiju films, including the original "Rodan."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ken Kuronuma Target entity description: Ken Kuronuma was a Japanese screenwriter best known for his work on classic kaiju films, including the original "Rodan."
-
A.
Makoto Satō
Makoto Satō is a Japanese actor known for his roles in mid-20th-century cinema and television.
-
B.
Masahiko Satō
Masahiko Satō is a Japanese jazz pianist and composer known for his innovative, avant-garde contributions to the postwar Japanese jazz scene.
-
C.
Yoshinori Satō
Yoshinori Satō is a Japanese professional baseball pitcher known for his career in Nippon Professional Baseball (NPB), particularly with the Tokyo Yakult Swallows.
-
D.
Shigetarō Shimada
Shigetarō Shimada was an admiral in the Imperial Japanese Navy who served as Navy Minister and a key naval leader during World War II.
-
E.
Yasuhiro Satō
Yasuhiro Satō is a Japanese professional kickboxer known for competing in organizations such as K-1 and for his technical fighting style in the lightweight and welterweight divisions.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef992d6bc8190be1b244eb87f2964 |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9008bdbd4819082fd91ded34d5bbb |
completed | March 29, 2026, 10:35 a.m. |
| NEDg | Description generation | batch_69c901101acc8190ae0440d0a08c54ca |
completed | March 29, 2026, 10:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c90167d1f48190a1242f0db78197c0 |
completed | March 29, 2026, 10:39 a.m. |
Created at: March 9, 2026, 3:32 p.m.