Triple
T17155810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mothra vs. Godzilla |
E416341
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Yuriko Hoshi
Yuriko Hoshi is a Japanese actress best known for her prominent roles in classic Toho kaiju films of the 1960s.
|
E1325258
|
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: Yuriko Hoshi | Statement: [Mothra vs. Godzilla, stars, Yuriko Hoshi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuriko Hoshi Context triple: [Mothra vs. Godzilla, stars, Yuriko Hoshi]
-
A.
Yuriko Kikuchi
Yuriko Kikuchi, better known professionally as Rinko Kikuchi, is a Japanese actress acclaimed for her roles in films such as "Babel" and "Pacific Rim."
-
B.
Yoshiko Morita
Yoshiko Morita is best known as the wife of Akio Morita, the co-founder of Sony Corporation.
-
C.
Mie Fukuda
Mie Fukuda is best known as the wife of former Japanese Prime Minister Takeo Fukuda.
-
D.
Chieko Mori
Chieko Mori is a Japanese woman best known as the wife of former Prime Minister Yoshirō Mori.
-
E.
Miyako Fujitani
Miyako Fujitani is a Japanese aikido instructor and former actress best known as Steven Seagal’s first wife and a key figure in his early martial arts career in Japan.
- 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: Yuriko Hoshi Triple: [Mothra vs. Godzilla, stars, Yuriko Hoshi]
Generated description
Yuriko Hoshi is a Japanese actress best known for her prominent roles in classic Toho kaiju films of the 1960s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yuriko Hoshi Target entity description: Yuriko Hoshi is a Japanese actress best known for her prominent roles in classic Toho kaiju films of the 1960s.
-
A.
Yuriko Kikuchi
Yuriko Kikuchi, better known professionally as Rinko Kikuchi, is a Japanese actress acclaimed for her roles in films such as "Babel" and "Pacific Rim."
-
B.
Yoshiko Morita
Yoshiko Morita is best known as the wife of Akio Morita, the co-founder of Sony Corporation.
-
C.
Mie Fukuda
Mie Fukuda is best known as the wife of former Japanese Prime Minister Takeo Fukuda.
-
D.
Chieko Mori
Chieko Mori is a Japanese woman best known as the wife of former Prime Minister Yoshirō Mori.
-
E.
Miyako Fujitani
Miyako Fujitani is a Japanese aikido instructor and former actress best known as Steven Seagal’s first wife and a key figure in his early martial arts career in Japan.
- 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_6a040fc34f4c8190a1ae536e544b2543 |
completed | May 13, 2026, 5:44 a.m. |
| NEDg | Description generation | batch_6a04123430308190af22a11b2151c8b8 |
completed | May 13, 2026, 5:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04131eb4988190af4024bfcad648bc |
completed | May 13, 2026, 5:58 a.m. |
Created at: April 10, 2026, 5:37 a.m.