Triple
T17363793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godzilla: Tokyo S.O.S. |
E422135
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Masahiro Yokotani
Masahiro Yokotani is a Japanese screenwriter known for his work on anime series and films, including contributions to the Godzilla franchise.
|
E1428304
|
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: Masahiro Yokotani | Statement: [Godzilla: Tokyo S.O.S., writer, Masahiro Yokotani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masahiro Yokotani Context triple: [Godzilla: Tokyo S.O.S., writer, Masahiro Yokotani]
-
A.
Takeshi Hamano
Takeshi Hamano is a Japanese politician who serves as the mayor of Shinagawa, a special ward in Tokyo.
-
B.
Masahiro Hirakubo
Masahiro Hirakubo was a Japanese film editor known for his work on numerous acclaimed Japanese films and collaborations with prominent directors.
-
C.
Masahiro Hirakubo
Masahiro Hirakubo is a Japanese film editor best known for his work on acclaimed films such as "Trainspotting" and "The Beach."
-
D.
Yosuke Kamide
Yosuke Kamide is a distinguished space physicist known for his influential research on geomagnetic storms and auroral phenomena.
-
E.
Yoshiyuki Nakamura
Yoshiyuki Nakamura is a Japanese animator and animation director known for his dynamic action sequences and character animation in various popular anime series.
- 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: Masahiro Yokotani Triple: [Godzilla: Tokyo S.O.S., writer, Masahiro Yokotani]
Generated description
Masahiro Yokotani is a Japanese screenwriter known for his work on anime series and films, including contributions to the Godzilla franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Masahiro Yokotani Target entity description: Masahiro Yokotani is a Japanese screenwriter known for his work on anime series and films, including contributions to the Godzilla franchise.
-
A.
Takeshi Hamano
Takeshi Hamano is a Japanese politician who serves as the mayor of Shinagawa, a special ward in Tokyo.
-
B.
Masahiro Hirakubo
Masahiro Hirakubo was a Japanese film editor known for his work on numerous acclaimed Japanese films and collaborations with prominent directors.
-
C.
Masahiro Hirakubo
Masahiro Hirakubo is a Japanese film editor best known for his work on acclaimed films such as "Trainspotting" and "The Beach."
-
D.
Yosuke Kamide
Yosuke Kamide is a distinguished space physicist known for his influential research on geomagnetic storms and auroral phenomena.
-
E.
Yoshiyuki Nakamura
Yoshiyuki Nakamura is a Japanese animator and animation director known for his dynamic action sequences and character animation in various popular anime series.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4f52988190847230e119a35b87 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0875fb6c1c819080afe7378dfd090e |
completed | May 16, 2026, 1:49 p.m. |
| NEDg | Description generation | batch_6a0877c797bc8190b065869262798e59 |
completed | May 16, 2026, 1:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a087841f0dc81909e6cf27c87faa02e |
completed | May 16, 2026, 1:59 p.m. |
Created at: April 10, 2026, 5:44 a.m.