Triple
T17155813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mothra vs. Godzilla |
E416341
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Yū Fujiki
Yū Fujiki was a Japanese actor known for his roles in mid-20th-century cinema, particularly in kaiju and genre films.
|
E1428303
|
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: Yū Fujiki | Statement: [Mothra vs. Godzilla, stars, Yū Fujiki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yū Fujiki Context triple: [Mothra vs. Godzilla, stars, Yū Fujiki]
-
A.
Tetsuzo Fuyushiba
Tetsuzo Fuyushiba was a Japanese politician who served as Minister of Land, Infrastructure and Transport and was a prominent member of the New Komeito Party.
-
B.
Yukio Yamaji
Yukio Yamaji was a Japanese serial killer known for murdering multiple victims, including members of his own family, in the early 2000s.
-
C.
Yukio Hoshino
Yukio Hoshino is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Yukio.
-
D.
Fumiki Sakurauchi
Fumiki Sakurauchi is a Japanese politician who has held a top leadership role in the national political party Kibō no Tō (Party of Hope).
-
E.
Kazuyuki Furuya
Kazuyuki Furuya is a Japanese government official who serves as a leading antitrust and competition policy regulator.
- 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: Yū Fujiki Triple: [Mothra vs. Godzilla, stars, Yū Fujiki]
Generated description
Yū Fujiki was a Japanese actor known for his roles in mid-20th-century cinema, particularly in kaiju and genre films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yū Fujiki Target entity description: Yū Fujiki was a Japanese actor known for his roles in mid-20th-century cinema, particularly in kaiju and genre films.
-
A.
Tetsuzo Fuyushiba
Tetsuzo Fuyushiba was a Japanese politician who served as Minister of Land, Infrastructure and Transport and was a prominent member of the New Komeito Party.
-
B.
Yukio Yamaji
Yukio Yamaji was a Japanese serial killer known for murdering multiple victims, including members of his own family, in the early 2000s.
-
C.
Yukio Hoshino
Yukio Hoshino is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Yukio.
-
D.
Fumiki Sakurauchi
Fumiki Sakurauchi is a Japanese politician who has held a top leadership role in the national political party Kibō no Tō (Party of Hope).
-
E.
Kazuyuki Furuya
Kazuyuki Furuya is a Japanese government official who serves as a leading antitrust and competition policy regulator.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f40b402881908b8c01d7b957d0d2 |
completed | April 18, 2026, 9:13 p.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, 5:37 a.m.