Triple
T17235863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 梅林茂 |
E418356
|
entity |
| Predicate | 代表作 |
P4
|
FINISHED |
| Object |
スワロウテイル
スワロウテイルは、岩井俊二監督による近未来の架空都市「円都(イェンタウン)」を舞台にした1996年公開の日本映画で、梅林茂が音楽を手がけたことで知られる作品である。
|
E1257304
|
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: スワロウテイル | Statement: [梅林茂, 代表作, スワロウテイル]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: スワロウテイル Context triple: [梅林茂, 代表作, スワロウテイル]
-
A.
Swallow
Swallow is the Allied reporting name for the Japanese World War II fighter aircraft Kawasaki Ki-61, known for its inline engine and resemblance to contemporary European fighters.
-
B.
Swallow
Swallow is a 2019 psychological thriller film in which Haley Bennett stars as a newly pregnant woman who develops a dangerous compulsion to swallow inedible objects.
-
C.
Pájara
Pájara is a coastal municipality on the southwestern part of Fuerteventura in Spain’s Canary Islands, known for its extensive beaches and tourist resorts such as Costa Calma and Morro Jable.
-
D.
Sitta
Sitta is a genus of small, agile passerine birds known as nuthatches, characterized by their ability to climb down tree trunks headfirst.
-
E.
Sparviero
Sparviero is the Italian nickname for the Savoia-Marchetti SM.79, a World War II-era three-engined medium bomber and torpedo bomber used prominently by the Italian Air Force.
- 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: スワロウテイル Triple: [梅林茂, 代表作, スワロウテイル]
Generated description
スワロウテイルは、岩井俊二監督による近未来の架空都市「円都(イェンタウン)」を舞台にした1996年公開の日本映画で、梅林茂が音楽を手がけたことで知られる作品である。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: スワロウテイル Target entity description: スワロウテイルは、岩井俊二監督による近未来の架空都市「円都(イェンタウン)」を舞台にした1996年公開の日本映画で、梅林茂が音楽を手がけたことで知られる作品である。
-
A.
Swallow
Swallow is the Allied reporting name for the Japanese World War II fighter aircraft Kawasaki Ki-61, known for its inline engine and resemblance to contemporary European fighters.
-
B.
Swallow
Swallow is a 2019 psychological thriller film in which Haley Bennett stars as a newly pregnant woman who develops a dangerous compulsion to swallow inedible objects.
-
C.
Pájara
Pájara is a coastal municipality on the southwestern part of Fuerteventura in Spain’s Canary Islands, known for its extensive beaches and tourist resorts such as Costa Calma and Morro Jable.
-
D.
Sitta
Sitta is a genus of small, agile passerine birds known as nuthatches, characterized by their ability to climb down tree trunks headfirst.
-
E.
Sparviero
Sparviero is the Italian nickname for the Savoia-Marchetti SM.79, a World War II-era three-engined medium bomber and torpedo bomber used prominently by the Italian Air Force.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dfb04e481909f4ee3ed31fffe10 |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01676382388190ab82bd10bd53f59e |
completed | May 11, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a0168d0303c8190b7238aaab286a855 |
completed | May 11, 2026, 5:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016957570081908b9aac6e43447884 |
completed | May 11, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:39 a.m.