Triple
T18381464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamera the Brave |
E446456
|
entity |
| Predicate | ratingSystem |
P16816
|
FINISHED |
| Object |
Japan Eirin
Japan Eirin is Japan’s official film classification and rating organization, responsible for assigning age-appropriate ratings to movies released in the country.
|
E1321535
|
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: Japan Eirin | Statement: [Gamera the Brave, ratingSystem, Japan Eirin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Japan Eirin Context triple: [Gamera the Brave, ratingSystem, Japan Eirin]
-
A.
Japo
Japo is a small settlement located on Arno Atoll in the Marshall Islands.
-
B.
Onekotan
Onekotan is a remote volcanic island in Russia's Kuril Islands chain, known for its dramatic caldera lakes and rugged, uninhabited landscape.
-
C.
Settsu
Settsu is a city in Osaka Prefecture, Japan, known as part of the Osaka metropolitan area.
-
D.
Ota, Japan
Ōta is a special ward in Tokyo, Japan, known for Haneda Airport, its coastal location on Tokyo Bay, and a mix of residential, industrial, and commercial districts.
-
E.
Haikyō
Haikyō is a Japanese talent agency that manages voice actors and other performers in the entertainment industry.
- 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: Japan Eirin Triple: [Gamera the Brave, ratingSystem, Japan Eirin]
Generated description
Japan Eirin is Japan’s official film classification and rating organization, responsible for assigning age-appropriate ratings to movies released in the country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Japan Eirin Target entity description: Japan Eirin is Japan’s official film classification and rating organization, responsible for assigning age-appropriate ratings to movies released in the country.
-
A.
Japo
Japo is a small settlement located on Arno Atoll in the Marshall Islands.
-
B.
Onekotan
Onekotan is a remote volcanic island in Russia's Kuril Islands chain, known for its dramatic caldera lakes and rugged, uninhabited landscape.
-
C.
Settsu
Settsu is a city in Osaka Prefecture, Japan, known as part of the Osaka metropolitan area.
-
D.
Ota, Japan
Ōta is a special ward in Tokyo, Japan, known for Haneda Airport, its coastal location on Tokyo Bay, and a mix of residential, industrial, and commercial districts.
-
E.
Haikyō
Haikyō is a Japanese talent agency that manages voice actors and other performers in the entertainment industry.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179b60f88190adf39e85375bd11b |
completed | April 19, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d780a3bc8190a2ae02e8190dfb68 |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d8857ba081909a1bee74530523d0 |
completed | May 13, 2026, 1:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03da59c1b081908d9488233c611586 |
completed | May 13, 2026, 1:56 a.m. |
Created at: April 10, 2026, 10:45 a.m.