Triple
T17437052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dodes'ka-den |
E424025
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Kin Sugai
Kin Sugai was a Japanese actress known for her prolific work in film and television, often portraying strong-willed elderly women.
|
E1331199
|
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: Kin Sugai | Statement: [Dodes'ka-den, castMember, Kin Sugai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kin Sugai Context triple: [Dodes'ka-den, castMember, Kin Sugai]
-
A.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
-
B.
Sakae
Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
-
C.
Yamabiko
Yamabiko is a high-speed Shinkansen train service in Japan that operates on the Tōhoku Shinkansen line, connecting Tokyo with northern regions such as Sendai.
-
D.
Yasutake
Yasutake is a Japanese surname associated with individuals of Japanese heritage, including the American nonprofit leader Irene Hirano.
-
E.
Yūji
Yūji is a common Japanese given name for males, typically written with kanji characters that convey positive traits such as courage, gentleness, or excellence.
- 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: Kin Sugai Triple: [Dodes'ka-den, castMember, Kin Sugai]
Generated description
Kin Sugai was a Japanese actress known for her prolific work in film and television, often portraying strong-willed elderly women.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kin Sugai Target entity description: Kin Sugai was a Japanese actress known for her prolific work in film and television, often portraying strong-willed elderly women.
-
A.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
-
B.
Sakae
Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
-
C.
Yamabiko
Yamabiko is a high-speed Shinkansen train service in Japan that operates on the Tōhoku Shinkansen line, connecting Tokyo with northern regions such as Sendai.
-
D.
Yasutake
Yasutake is a Japanese surname associated with individuals of Japanese heritage, including the American nonprofit leader Irene Hirano.
-
E.
Yūji
Yūji is a common Japanese given name for males, typically written with kanji characters that convey positive traits such as courage, gentleness, or excellence.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff468a08190bdc5cebb8162b4ba |
completed | April 19, 2026, 3:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04f870f7008190915e8675daed3c12 |
completed | May 13, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a04f95f3ce081909d027cb112990424 |
completed | May 13, 2026, 10:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04f9ffc3fc8190aad62561ca56bdae |
completed | May 13, 2026, 10:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.