Triple
T14891442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ran |
E359761
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Mieko Harada
Mieko Harada is a Japanese actress best known internationally for her intense portrayal of Lady Kaede in Akira Kurosawa’s epic film "Ran."
|
E1127439
|
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: Mieko Harada | Statement: [Ran, castMember, Mieko Harada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mieko Harada Context triple: [Ran, castMember, Mieko Harada]
-
A.
Makiko Tanaka
Makiko Tanaka is a Japanese politician and former foreign minister, known as the outspoken daughter of influential former Prime Minister Kakuei Tanaka.
-
B.
Kumiko Hirano
Kumiko Hirano is a Japanese individual notable enough to be specifically cited as a bearer of the surname Hirano.
-
C.
Atsuko Nishida
Atsuko Nishida is a Japanese illustrator and character designer best known for creating Pikachu and contributing to many iconic Pokémon designs.
-
D.
Shoko Nakagawa
Shoko Nakagawa is a Japanese singer, voice actress, and television personality known for her prominent work in anime music and otaku culture.
-
E.
Yukiko Yamashita
Yukiko Yamashita is a developmental biologist known for her research on stem cell biology and asymmetric cell division.
- 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: Mieko Harada Triple: [Ran, castMember, Mieko Harada]
Generated description
Mieko Harada is a Japanese actress best known internationally for her intense portrayal of Lady Kaede in Akira Kurosawa’s epic film "Ran."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mieko Harada Target entity description: Mieko Harada is a Japanese actress best known internationally for her intense portrayal of Lady Kaede in Akira Kurosawa’s epic film "Ran."
-
A.
Makiko Tanaka
Makiko Tanaka is a Japanese politician and former foreign minister, known as the outspoken daughter of influential former Prime Minister Kakuei Tanaka.
-
B.
Kumiko Hirano
Kumiko Hirano is a Japanese individual notable enough to be specifically cited as a bearer of the surname Hirano.
-
C.
Atsuko Nishida
Atsuko Nishida is a Japanese illustrator and character designer best known for creating Pikachu and contributing to many iconic Pokémon designs.
-
D.
Shoko Nakagawa
Shoko Nakagawa is a Japanese singer, voice actress, and television personality known for her prominent work in anime music and otaku culture.
-
E.
Yukiko Yamashita
Yukiko Yamashita is a developmental biologist known for her research on stem cell biology and asymmetric cell division.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f883288190af602633fa7d6860 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72b11584819084f32516cb0023a1 |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe73ee0da48190b8909009e0dc517b |
completed | May 8, 2026, 11:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe748da7948190b7253b9dc09ae9fa |
completed | May 8, 2026, 11:41 p.m. |
Created at: April 10, 2026, 2:10 a.m.