Triple
T17155811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mothra vs. Godzilla |
E416341
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Hiroshi Koizumi
Hiroshi Koizumi was a Japanese actor best known for his frequent roles in classic Toho kaiju films, including several entries in the Godzilla and Mothra series.
|
E1261511
|
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: Hiroshi Koizumi | Statement: [Mothra vs. Godzilla, stars, Hiroshi Koizumi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hiroshi Koizumi Context triple: [Mothra vs. Godzilla, stars, Hiroshi Koizumi]
-
A.
Jun’ya Koizumi
Jun’ya Koizumi is a Japanese politician and the son of former Prime Minister Junichiro Koizumi.
-
B.
Matajiro Koizumi
Matajiro Koizumi was a Japanese politician best known as the father of former Prime Minister Junichiro Koizumi and a member of the influential Koizumi political family.
-
C.
Hiroshi Satō
Hiroshi Satō is a Japanese given name commonly borne by men across various professions, including business, sports, and the arts.
-
D.
Hajime Koizumi
Hajime Koizumi was a Japanese cinematographer best known for his work on classic kaiju films, including entries in the Godzilla series.
-
E.
Hideo Hatoyama
Hideo Hatoyama was a Japanese politician and member of the influential Hatoyama political family.
- 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: Hiroshi Koizumi Triple: [Mothra vs. Godzilla, stars, Hiroshi Koizumi]
Generated description
Hiroshi Koizumi was a Japanese actor best known for his frequent roles in classic Toho kaiju films, including several entries in the Godzilla and Mothra series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hiroshi Koizumi Target entity description: Hiroshi Koizumi was a Japanese actor best known for his frequent roles in classic Toho kaiju films, including several entries in the Godzilla and Mothra series.
-
A.
Jun’ya Koizumi
Jun’ya Koizumi is a Japanese politician and the son of former Prime Minister Junichiro Koizumi.
-
B.
Matajiro Koizumi
Matajiro Koizumi was a Japanese politician best known as the father of former Prime Minister Junichiro Koizumi and a member of the influential Koizumi political family.
-
C.
Hiroshi Satō
Hiroshi Satō is a Japanese given name commonly borne by men across various professions, including business, sports, and the arts.
-
D.
Hajime Koizumi
Hajime Koizumi was a Japanese cinematographer best known for his work on classic kaiju films, including entries in the Godzilla series.
-
E.
Hideo Hatoyama
Hideo Hatoyama was a Japanese politician and member of the influential Hatoyama political family.
- 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_6a0180c5e2dc81909f843a07bbf7e41c |
completed | May 11, 2026, 7:09 a.m. |
| NEDg | Description generation | batch_6a01823e29908190b4c5c2ecaf61151b |
completed | May 11, 2026, 7:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01829fb010819091199a639cde98d6 |
completed | May 11, 2026, 7:17 a.m. |
Created at: April 10, 2026, 5:37 a.m.